et al.: Combining DHTs and SONs for Semantic-Based Service Discovery. (2009), Carole A. Goble: Towards a Semantic Grid Architecture. (2005), Niall Beard et al.: TeSS: a platform for discovering life-science training opportunities. (2004), Kevin L. Gar\\nCarole Goble cited by count is 24721.\\n\\\"Carole A. Goble et al.: 2012 IEEE 19th International Conference on Web Services, Honolulu, HI, USA, June 24-29, 2012 (2012), Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, Chiba, Japan, May 10-14, 2005 (2005), Paul Groth et al.: Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigation\\nCarole Goble has an h-index of 66.\\nCarole Goble has an i10Index of 227.\\nCarole A. Goble is the creator of Carole A. Goble. She is the author of Carole A. Goble.\\nCarole A. Goble's link is \\\"https://en.wikipedia.org/wiki/Carole_Goble, http://www.wikidata.org/entity/Q11604, https://twitter.com/caroleannegoble, https://www.scopus.com/authid/detail.uri?authorId=7004072716, https://zbmath.org/authors/?q=ai:goble.carole, https\\nCarole Goble is a member of the University of Manchester.\\nCarole Goble was modified on 2023-10-18.\\nCarole Goble's name is Carole Goble.\\nCarole Goble has orcidId https://orcid.org/0000-0003-1219-2137.\\nCarole A. Goble's primary affiliation is the University of Manchester, UK.\\nCarole Goble is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS.\\nCarole Goble has 626 works.{'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. She is principal investigator (PI) of the myGrid, BioCatalogue and myExperiment projects and co-leads the Information Management Group (IMG) with Norman Paton.\\\\nGoble was educated at Maidstone School for Girls. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982.\\\\nHer current research interests include grid computing, the semantic grid, the Semantic Web, ontologies, e-Science, medical informatics, bioinformatics, and Research Objects. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has successfully secured funding from the European Union, the Defense Advanced Research Projects Agency (DARPA) in the United States and UK funding agencies including the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), Economic and Social Research Council (ESRC), Medical Research Council (United Kingdom) (MRC), the Department of Health, the Open Middleware Infrastructure Institute and the Department of Trade and Industry.\\\\nHer work has been published in leading peer reviewed scientific journals including Nucleic Acids Research, Bioinformatics, IEEE Computer, the Journal of Biomedical Semantics, Briefings in Bioinformatics, Artificial Intelligence in Medicine, the Pacific Symposium on Biocomputing conference, the International Journal of Cooperative Information Systems, the Journal of Biomedical Informatics, Nature Genetics and Drug Discovery Today.\\\\nGoble joined the University of Manchester in 1985, and was appointed to a chair in 2000. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008.\\\\nGoble serves on several committees, including the advisory committees of the Science and Technology Facilities Council Physical and Life Sciences advisory committee, the Netherlands Bioinformatics Centre and the European Grid Infrastructure committee.\\\\nShe was appointed to the Biotechnology and Biological Sciences Research Council on 13 June 2013.\\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. She co-founded Cerebra, an early spin-off company to exploit Semantic Web technologies, which has been sold.\\\\nGoble was recipient of the first Jim Gray e-Science Award in December 2008. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. In 2002 she was honoured by Sun Microsystems for her significant achievements in advancing life science computing. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics.\\\\nGoble was appointed Commander of the Order of the British Empire (CBE) in the 2014 New Year Honours for services to science.\\\\nShe was elected a Fellow of the Royal Academy of Engineering (FREng) in 2010. In January 2018 Goble was awarded the degree of Doctorem (honoris causa) by Maastricht University.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Carole A. Goble et al.: ODESGS framework, knowledge-based markup for semantic grid services. (2005), Paolo Ciccarese et al.: PAV ontology: provenance, authoring and versioning. (2013), Carole A. Goble: Putting Semantics into e-Science and Grids. (2005), Rafael Ferreira da Silva et al.: Workflows Community Summit 2022: A Roadmap Revolution. (2007),\\nCarole Goble cited by count is 24721.\\nMokrane Bouzeghoub et al.: Semantics for Grid Databases, First International IFIP Conference on Semantics of a Networked World: ICSNW 2004, Paris, France, June 17-19, 2004. Revised Selected Papers (2004), edited by Carole A. Goble, et al.: Semantic Grid: The Convergence of Technologies, 3.-8. July 2005 (2005).\\nCarole A. Goble's link is https://www.scopus.com/authid/detail.uri?authorId=7004072716 and also https://scholar.google.com/citations?user=2G4kqPYAAAAJ.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008. \\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna\"\n}"}}},{"rowIdx":65,"cells":{"id":{"kind":"string","value":"7c29bed6-0737-4244-ac29-7d63d567eef4"},"triples_number":{"kind":"number","value":181,"string":"181"},"question":{"kind":"string","value":"What is the average two years citedness of the researcher who co-authored a paper with Michael Bain in Machine Intelligence 15 in 1999?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"0.20000000298023223877\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"University of New South Wales, Sydney, Australia\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"C A Sammut\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"C. 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(2003)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. (1988)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ben Rudzyn et al.: Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. (2007)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Beam Search. (2010)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Density Estimation. (2010)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Subsumption. (2010)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Version Space. 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(2011)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nawid Jamali and Claude Sammut: Slip prediction using Hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning. (2012)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mohammed Waleed Kadous et al.: Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. (2006)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Adnan Amin et al.: Hand Printed Chinese Character Recognition via Machine Learning. (1997)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Domenic Ziino et al.: Recognition of hand printed Latin characters using machine learning. (1995)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Hengst et al.: Perceptual Context in Cognitive Hierarchies. (2019)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"David Rajaratnam et al.: Composability in Cognitive Hierarchies. (2016)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut: Robot Soccer: Science or Just Fun and Games? (2003)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wentao Lu and Claude Sammut: D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. (2022)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Keith Clark et al.: A Framework for Integrating Symbolic and Sub-Symbolic Representations. (2016)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"G. M. Shiraz and Claude Sammut: Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems. (1997)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Clark et al.: Panel: Applications of Machine Learning: Notes from the Panel Members. (1991)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mohammed Waleed Kadous and Claude Sammut: Constructive Induction for Classifying Time Series. (2004)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Claude Sammut and Tatjana Zrimec: Learning to Classify X-Ray Images Using Relational Learning. (1998)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dorian Suc et al.: Learning to Fly Simple and Robust. (2004)\"\n },\n {\n \"object\": \"Claude Sammut\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ornnalin Phaijit et al.: A Taxonomy of Functional Augmented Reality for Human-Robot Interaction. 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(2010) authored by Claude Sammut. Claude Sammut: Genetic and Evolutionary Algorithms. (2010) authored by Claude Sammut. Claude Sammut: Greedy Search. (2010) authored by Claude Sammut. Claude Sammut: Learning as Search. (2010) authored by Claude Sammut. Claude Sammut: Markov Chain Monte Carlo. (2010) authored by Claude Sammut. Claude Sammut: Behavioral Cloning. (2017) authored by Claude Sammut. Claude Sammut: Concept Learning. (2017) authored by Claude Sammut. Claude Sammut: Credit Assignment. (2017) authored by Claude Sammut. Claude Sammut: Density Estimation. (2017) authored by Claude Sammut. Claude Sammut: Generalization. (2017) authored by Claude Sammut. Claude Sammut: Genetic and Evolutionary Algorithms. (2017) authored by Claude Sammut. Claude Sammut: Subsumption. (2017) authored by Claude Sammut. Claude Sammut and Michael Bonnell Harries: Concept Drift. (2017) authored by Claude Sammut. Timothy Wiley et al.: Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. (2014) authored by Claude Sammut. Andrew Isaac and Claude Sammut: Goal-directed Learning to Fly. (2003) authored by Claude Sammut. Claude Sammut: Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. (1988) authored by Claude Sammut. Ben Rudzyn et al.: Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. (2007) authored by Claude Sammut. Claude Sammut: Beam Search. (2010) authored by Claude Sammut. Claude Sammut: Density Estimation. (2010) authored by Claude Sammut. Claude Sammut: Subsumption. (2010) authored by Claude Sammut. Claude Sammut: Version Space. (2010) authored by Claude Sammut. Claude Sammut: Beam Search. (2017) authored by Claude Sammut. Claude Sammut: Greedy Search. (2017) authored by Claude Sammut. Claude Sammut: Learning as Search. (2017) authored by Claude Sammut. Claude Sammut: Markov Chain Monte Carlo. (2017) authored by Claude Sammut. Claude Sammut: Version Space. (2017) authored by Claude Sammut. Claude Sammut and Michael Bonnell Harries: Concept Drift. (2010) authored by Claude Sammut. Claude Sammut and Brian Cohen: A Language for Describing Concepts as Programs. (1979) authored by Claude Sammut. Claude Sammut et al.: Learning to Fly. (1992) authored by Claude Sammut. Brett Squires and Claude Sammut: Automatic Speaker Recognition: An Application of Machine Learning. (1995) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Material classification by tactile sensing using surface textures. (2010) authored by Claude Sammut. Adam Milstein et al.: Occupancy voxel metric based iterative closest point for position tracking in 3D environments. (2011) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Slip prediction using Hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning. (2012) authored by Claude Sammut. Mohammed Waleed Kadous et al.: Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. (2006) authored by Claude Sammut. Adnan Amin et al.: Hand Printed Chinese Character Recognition via Machine Learning. (1997) authored by Claude Sammut. Domenic Ziino et al.: Recognition of hand printed Latin characters using machine learning. (1995) authored by Claude Sammut. Bernhard Hengst et al.: Perceptual Context in Cognitive Hierarchies. (2019) authored by Claude Sammut. David Rajaratnam et al.: Composability in Cognitive Hierarchies. (2016) authored by Claude Sammut. Claude Sammut: Robot Soccer: Science or Just Fun and Games? (2003) authored by Claude Sammut. Wentao Lu and Claude Sammut: D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. (2022) authored by Claude Sammut. Keith Clark et al.: A Framework for Integrating Symbolic and Sub-Symbolic Representations. (2016) authored by Claude Sammut. G. M. Shiraz and Claude Sammut: Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems. (1997) authored by Claude Sammut. Peter Clark et al.: Panel: Applications of Machine Learning: Notes from the Panel Members. (1991) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: Constructive Induction for Classifying Time Series. (2004) authored by Claude Sammut. Claude Sammut and Tatjana Zrimec: Learning to Classify X-Ray Images Using Relational Learning. (1998) authored by Claude Sammut. Dorian Suc et al.: Learning to Fly Simple and Robust. (2004) authored by Claude Sammut. Ornnalin Phaijit et al.: A Taxonomy of Functional Augmented Reality for Human-Robot Interaction. (2022) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: MICA: Pervasive Middleware for Learning, Sharing and Talking. (2004) authored by Claude Sammut. Reza Farid and Claude Sammut: Region-Based Object Categorisation Using Relational Learning. (2014) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: InCA: A Mobile Conversational Agent. (2004) authored by Claude Sammut. Mojtaba Maghrebi et al.: Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method. (2013) authored by Claude Sammut. Adrian Ratter et al.: GPU accelerated graph SLAM and occupancy voxel based ICP for encoder-free mobile robots. (2013) authored by Claude Sammut. Claude Sammut and Tak Fai Yik: Multistrategy Learning for Robot Behaviours. (2010) authored by Claude Sammut. Mohammed Waleed Kadous et al.: Effective user interface design for rescue robotics. (2006) authored by Claude Sammut. Ornnalin Phaijit et al.: A Demonstration of the Taxonomy of Functional Augmented Reality for Human-Robot Interaction. (2022) authored by Claude Sammut. Claude Sammut and Achim G. Hoffmann: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 (2002) edited by Claude Sammut. David Humme and Claude Sammut: Using Inverse Resolution to Learn Relations from Experiments. (1991) authored by Claude Sammut. Eduardo F. Morales and Claude Sammut: Learning to fly by combining reinforcement learning with behavioural cloning. (2004) authored by Claude Sammut. Claude Sammut and James Cribb: Is Learning Rate a Good Performance Criterion for Learning? (1990) authored by Claude Sammut. Oleg O. Sushkov and Claude Sammut: Local image feature matching for object recognition. (2010) authored by Claude Sammut. Claude Sammut and Bernhard Hengst: The Evolution of a Robot Soccer Team. (2001) authored by Claude Sammut. Anurag Kumar Gupta et al.: MMIF: A Modular Architecture for Multimodal Integration. (2003) authored by Claude Sammut. Stan Matwin and Claude Sammut: Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers (2003) edited by Claude Sammut. Solly Brown and Claude Sammut: A Relational Approach to Tool-Use Learning in Robots. (2012) authored by Claude Sammut. Claude Sammut: Prolog, Refinements and RLGG's. (1998) authored by Claude Sammut. Claude Sammut et al.: The Robot Engineer. (2015) authored by Claude Sammut. Yao Liu et al.: Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. (2023) authored by Claude Sammut. Solly Brown and Claude Sammut: Tool Use Learning in Robots. (2011) authored by Claude Sammut. Matthew McGill et al.: Virtual reconstruction using an autonomous robot. (2012) authored by Claude Sammut. Oleg O. Sushkov and Claude Sammut: Active robot learning of object properties. (2012) authored by Claude Sammut. Jingcheng Li et al.: Multi-agent Transformer Networks for Multimodal Human Activity Recognition. (2022) authored by Claude Sammut. Yao Liu et al.: Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. (2022) authored by Claude Sammut. Chao Sun et al.: Variance-wise Segmentation for a Temporal-Adaptive SAX. (2012) authored by Claude Sammut. Ashesh Mahidadia et al.: Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming. (1994) authored by Claude Sammut. Michael Bain and Claude Sammut: A Framework for Behavioural Cloning. (1995) authored by Claude Sammut. Michael McGarity et al.: Controlling a steel mill with BOXES. (1993) authored by Claude Sammut. Donald Michie and Claude Sammut: Behavioural clones and cognitive skill models. (1993) authored by Claude Sammut. Claude Sammut: Recent progress with BOXES. (1992) authored by Claude Sammut. Hans-Dieter Burkhard et al.: RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. (2003) authored by Claude Sammut. Brad Hall et al.: RoboCup SPL 2015 Champion Team Paper. (2015) authored by Claude Sammut. Son Bao Pham et al.: Stochastic Gradient Descent Localisation in Quadruped Robots. (2001) authored by Claude Sammut. Timothy Wiley et al.: Spatial Correlation of Multi-sensor Features for Autonomous Victim Identification. (2011) authored by Claude Sammut. Tatjana Zrimec and Claude Sammut: Knowledge Representation for Model-Based Image Processing in Medicine. (1995) authored by Claude Sammut. Claude Sammut: Concept Learning by Experiment. (1981) authored by Claude Sammut. Claude Sammut: The Child Machine vs the World Brain. (2013) authored by Claude Sammut. B. L. Cohen and Claude Sammut: CONFUCIUS: A Structural Concept Learning System. (1979) authored by Claude Sammut. Claude Sammut: Concept development for Expert System Knowledge Bases. (1985) authored by Claude Sammut. R. A. Sammut and Claude Sammut: PROLOG: A Tutorial Introduction. (1983) authored by Claude Sammut. Claude Sammut and R. A. Sammut: The Implementation of UNSW-PROLOG. (1983) authored by Claude Sammut. Brian Cohen and Claude Sammut: Object recognition and concept learning with CONFUCIUS. (1982) authored by Claude Sammut. Wentao Lu and Claude Sammut: D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. (2021) authored by Claude Sammut. Daniele Nardi et al.: RoboCup 2004: Robot Soccer World Cup VIII (2005) edited by Claude Sammut. Hidehisa Akiyama et al.: RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]. (2018) edited by Claude Sammut. Jayen Ashar et al.: RoboCup SPL 2014 Champion Team Paper. (2014) authored by Claude Sammut. Spencer Chen et al.: The UNSW RoboCup 2001 Sony Legged Robot League Team. (2001) authored by Claude Sammut. Bernhard Hengst et al.: The UNSW RoboCup 2000 Sony Legged League Team. (2000) authored by Claude Sammut. Bernhard Hengst et al.: Omnidirectional Locomotion for Quadruped Robots. (2001) authored by Claude Sammut. Wentao Lu et al.: Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach. (2022) authored by Claude Sammut. Timothy Wiley et al.: A Machine Learning System for Controlling a Rescue Robot. (2017) authored by Claude Sammut. Timothy Wiley et al.: Qualitative Simulation with Answer Set Programming. (2014) authored by Claude Sammut. Claude Sammut and Donald Michie: Controlling a Black-Box Simulation of a Spacecraft. (1991) authored by Claude Sammut. Kenji Brameld et al.: Human-Centric Goal Reasoning with Ripple-Down Rules. (2024) authored by Claude Sammut. Raymond Ka-Man Sheh et al.: Behavioural cloning for driving robots over rough terrain. (2011) authored by Claude Sammut. Germán Castro and Claude Sammut: Learning footstep planning on irregular surfaces with partial placements. (2019) authored by Claude Sammut. Adrian Ratter and Claude Sammut: Fused 2D/3D position tracking for robust SLAM on mobile robots. (2015) authored by Claude Sammut. Adnan Amin et al.: Learning to Recognize Hand-Printed Chinese Charaters Using Inductive Logic Programming. (1996) authored by Claude Sammut. Yi-Ling Hwong et al.: What makes you tick? The psychology of social media engagement in space science communication. (2017) authored by Claude Sammut. Claude Sammut et al.: Robot Learning Constrained by Planning and Reasoning. (2010) authored by Claude Sammut. Ornnalin Phaijit et al.: Let's Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception. (2022) authored by Claude Sammut. Ornnalin Phaijit et al.: User Interface Interventions for Improving Robot Learning from Demonstration. (2023) authored by Claude Sammut. Yao Liu et al.: Interpolation graph convolutional network for 3D point cloud analysis. (2022) authored by Claude Sammut. Claire D'Este and Claude Sammut: Learning and generalising semantic knowledge from object scenes. (2008) authored by Claude Sammut. Bernhard Hengst et al.: Online Learning and Planning in Cognitive Hierarchies. (2023) authored by Claude Sammut. Claude Sammut: Automatic construction of reactive control systems using symbolic machine learning. (1996) authored by Claude Sammut. Mojtaba Maghrebi et al.: Column Generation-Based Approach for Solving Large-Scale Ready Mixed Concrete Delivery Dispatching Problems. (2016) authored by Claude Sammut. Mojtaba Maghrebi et al.: Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems. (2016) authored by Claude Sammut. Daniel Aaron Moses et al.: Peripheral bronchial identification on chest CT using unsupervised machine learning. (2018) authored by Claude Sammut. Daniel Aaron Moses et al.: Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. (2016) authored by Claude Sammut. Reza Farid and Claude Sammut: Plane-based object categorisation using relational learning. (2014) authored by Claude Sammut. Michael Bonnell Harries et al.: Extracting Hidden Context. (1998) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: Classification of Multivariate Time Series and Structured Data Using Constructive Induction. (2005) authored by Claude Sammut. Stephen H. Muggleton et al.: Meta-Interpretive Learning from noisy images. (2018) authored by Claude Sammut. Duncan Potts and Claude Sammut: Incremental Learning of Linear Model Trees. (2005) authored by Claude Sammut. Claude Sammut: Using Background Knowledge to Build Multistrategy Learners. (1997) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Majority Voting: Material Classification by Tactile Sensing Using Surface Texture. (2011) authored by Claude Sammut. Adam Milstein et al.: A method for fast encoder-free mapping in unstructured environments. (2011) authored by Claude Sammut. Claude Sammut: Managing Context in a Conversational Agent. (2001) authored by Claude Sammut. Bernhard Hengst et al.: Perceptual Context in Cognitive Hierarchies. (2018) authored by Claude Sammut. Jingcheng Li et al.: Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. (2023) authored by Claude Sammut. Yao Liu et al.: Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. (2023) authored by Claude Sammut. Claude Sammut et al.: Logic-based Robotics. (2022) authored by Claude Sammut{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012.'}\",\n \"verbalizer_on_all_triples\": \"Claude Sammut wrote 10 papers in 2012.\\nClaude Sammut wrote 9 papers in 2013.\\nClaude Sammut wrote 9 papers in 2014.\\nClaude Sammut wrote 9 papers in 2015.\\nClaude Sammut wrote 5 papers in 2016.\\nClaude Sammut wrote 16 papers in 2017.\\nClaude Sammut's written paper amount in year 2018 is 9 pages.\\nClaude Sammut's written paper amount in year 2019 is 3,.\\nClaude Sammut's written paper amount in year 2020 is 1.00.\\nClaude Sammut's written paper amount in year2021 is 4.\\nClaude Sammut's written paper amount in year 2022 is 8.\\nClaude Sammut's written paper amount in year2023 is 3.\\nClaude Sammut has a 2YrMeanCitedness of 0.20000000298023223877.\\nClaude Sammut is affiliated with the University of New South Wales, Sydney, Australia.\\nClaude Sammut's alternative names are C. Sammut and C. A. Sammut.\\nClaude Sammut: Markov Chain Monte Carlo. (2017), Brett Squires and Claude Sammut: Automatic Speaker Recognition: An Application of Machine Learning. (1995), Chao Sun et al.: Variance-wise Segmentation for a Temporal-Adaptive SAX. (2012), Yi-Ling Hwong et al.: What makes you tick? The psychology of social media engagement in space science communication. (2017), Donald Michie and Claude Sammut: Behaviour\\nClaude Sammut is cited by ByCount 2929.\\nClaude Sammut and Geoffrey I. Webb: Encyclopedia of Machine Learning and Data Mining (2017), Stan Matwin and Achim G. Hoffmann: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 (2002), Daniele Nardi et al.: RoboCup 2004: Robot Soccer World Cup VIII (2005), Hidehisa Akiyama et al.: RoboCup 2017: Robot\\nClaude Sammut has an h-index of 24.\\nClaude Sammut has 53 i10Index.\\nClaude Sammut is the creator and the author of Claude Sammut.\\nClaude Sammut's link is http://www.wikidata.org/entity/Q5129016. He also has links to http://www.cse.unsw.edu.au/<unk>claude/ and https://en.wikipedia.org/wiki/Claude_Sammut.\\nClaude Sammut is a member of UNSW Sydney.\\nClaude Sammut was modified on 2023-10-18.\\nClaude Sammut's name is Claude Sammut.\\nClaude Sammut's orcidId is https://orcid.org/0000-0001-8873-5228.\\nClaude Sammut's primary affiliation is the University of New South Wales, Sydney, Australia.\\nClaude Sammut has 606 works.{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012.'}\",\n \"verbalizer_plus_evidence_matching\": \"Claude Sammut wrote 9 papers in 2013.\\nClaude Sammut wrote 9 papers in 2014.\\nClaude Sammut wrote 9 papers in 2015.\\nClaude Sammut wrote 5 papers in 2016.\\nClaude Sammut wrote 16 papers in 2017.\\nClaude Sammut's written paper amount in year 2018 is 9 pages.\\nClaude Sammut's written paper amount in year 2019 is 3,.\\nClaude Sammut's written paper amount in year2023 is 3.\\nClaude Sammut is the author of The Child Machine vs the World Brain (2013).\\nClaude Sammut is cited by ByCount 2929.\\nClaude Sammut and Geoffrey I. Webb edited the Encyclopedia of Machine Learning (2010).{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012\"\n}"}}},{"rowIdx":66,"cells":{"id":{"kind":"string","value":"2406c7c3-c4ad-4c99-a056-fdb306d0e415"},"triples_number":{"kind":"number","value":114,"string":"114"},"question":{"kind":"string","value":"What is the number of articles for the affiliation of the author of 'Looking back at the first twenty years of genomics'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"34\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"34\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"138\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"138\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"5.6862745285034179688\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"Dana-Farber Cancer Institute, Boston, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"John Quackenbush\"\n },\n {\n \"object\": \"J. 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(2021)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rebekka Burkholz and John Quackenbush: Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. (2021)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amira Djebbari et al.: AI Methods for Analyzing Microarray Data. (2009)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Richard Tong et al.: Knowledge-Based Access to the Bio-Medical Literature, Ontologically-Grounded Experiments for the TREC 2003 Genomics Track. (2003)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"John Quackenbush: Stochasticity and Networks in Genomic Data. 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(2011)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jessica Cara Mar et al.: Data-driven normalization strategies for high-throughput quantitative RT-PCR. (2009)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Joseph N. Paulson et al.: Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. (2017)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amira Djebbari et al.: MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms. (2005)\"\n },\n {\n \"object\": \"John Quackenbush\",\n \"predicate\": \"authored by\",\n \"subject\": \"Marieke L. Kuijjer et al.: PUMA: PANDA Using MicroRNA Associations. 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(2022) authored by John Quackenbush. Richard Tong et al.: Knowledge-Based Access to the Bio-Medical Literature, Ontologically-Grounded Experiments for the TREC 2003 Genomics Track. (2003) authored by John Quackenbush. John Quackenbush: Stochasticity and Networks in Genomic Data. (2007) authored by John Quackenbush. Catherine A. Ball et al.: An open letter to the scientific journals. (2002) authored by John Quackenbush. Eleanor Howe et al.: RNA-Seq analysis in MeV. (2011) authored by John Quackenbush. Benjamin Haibe-Kains et al.: Inconsistency in large pharmacogenomic studies. (2013) authored by John Quackenbush. Alexander Sturn et al.: Genesis: cluster analysis of microarray data. (2002) authored by John Quackenbush. Jarupon Fah Sathirapongsasuti et al.: Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV. (2011) authored by John Quackenbush. Fenglong Liu et al.: GCOD - GeneChip Oncology Database. (2011) authored by John Quackenbush. Amira Djebbari et al.: MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms. (2005) authored by John Quackenbush. John Quackenbush et al.: The TIGR Gene Indices: reconstruction and representation of expressed gene sequences. (2000) authored by John Quackenbush\\\\nIn 2011, Quackenbush published The Human Genome: Book of Essential Knowledge (Imagine Publishing, U. \\\\nIn 1997, Quackenbush joined the faculty of The Institute for Genomic Research (TIGR) in Rockville, Maryland, where his focus began to shift to post-genomic applications, with an emphasis on microarray analysis. \\\\nQuackenbush currently serves on the editorial boards of five major journals and is editor-in-chief at Genomics. {'author_wikipedia_text': \\\"John Quackenbush is an American computational biologist and genome scientist. ), which outlines the history, science, and implications of the Human Genome Project. \\\\nAfter working two years as a postdoctoral fellow in physics, Quackenbush was awarded a Special Emphasis Research Career Award from the National Center for Human Genome Research (the predecessor of the National Human Genome Research Institute), and subsequently spent the next two years at the Salk Institute working on physical maps of human chromosome 11, followed by another two years at Stanford University developing new laboratory and computational strategies for sequencing the human genome\",\n \"plain\": \"John Quackenbush is Author. John Quackenbush modified 2023-10-18. John Quackenbush citedByCount 65442. John Quackenbush written paper amount in year2012: 34. John Quackenbush written paper amount in year2012: 34. John Quackenbush written paper amount in year2013: 24. John Quackenbush written paper amount in year2013: 24. John Quackenbush written paper amount in year2014: 25. John Quackenbush written paper amount in year2014: 25. John Quackenbush written paper amount in year2015: 14. John Quackenbush written paper amount in year2015: 14. John Quackenbush written paper amount in year2016: 28. John Quackenbush written paper amount in year2016: 28. John Quackenbush written paper amount in year2017: 31. John Quackenbush written paper amount in year2017: 31. John Quackenbush written paper amount in year2018: 21. John Quackenbush written paper amount in year2018: 21. John Quackenbush written paper amount in year2019: 22. John Quackenbush written paper amount in year2019: 22. John Quackenbush written paper amount in year2020: 25. John Quackenbush written paper amount in year2020: 25. John Quackenbush written paper amount in year2021: 26. John Quackenbush written paper amount in year2021: 26. John Quackenbush written paper amount in year2022: 13. John Quackenbush written paper amount in year2022: 13. John Quackenbush written paper amount in year2023: 138. John Quackenbush written paper amount in year2023: 138. John Quackenbush worksCount 675. John Quackenbush name John Quackenbush. John Quackenbush member of Harvard University. John Quackenbush h-index 99. John Quackenbush 2YrMeanCitedness 5.6862745285034179688. John Quackenbush alternativeName J. Quackenbush. John Quackenbush alternativeName Jeffrey Quackenbush. John Quackenbush alternativeName John F. Quackenbush. John Quackenbush alternativeName John Quackenbush. John Quackenbush alternativeName John ` Quackenbush. John Quackenbush alternativeName Quackenbush. John Quackenbush i10Index 288. John Quackenbush orcidId https://orcid.org/0000-0002-2702-5879. John Quackenbush is Creator. John Quackenbush is Person. John Quackenbush link http://www.wikidata.org/entity/Q6253638. John Quackenbush affiliation Dana-Farber Cancer Institute, Boston, USA. John Quackenbush primary affiliation Dana-Farber Cancer Institute, Boston, USA. John Quackenbush link https://en.wikipedia.org/wiki/John_Quackenbush. Deborah A. Weighill et al.: Gene Regulatory Network Inference as Relaxed Graph Matching. (2021) authored by John Quackenbush. Rebekka Burkholz and John Quackenbush: Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. (2021) authored by John Quackenbush. Amira Djebbari et al.: AI Methods for Analyzing Microarray Data. (2009) authored by John Quackenbush. Richard Tong et al.: Knowledge-Based Access to the Bio-Medical Literature, Ontologically-Grounded Experiments for the TREC 2003 Genomics Track. (2003) authored by John Quackenbush. John Quackenbush: Stochasticity and Networks in Genomic Data. (2007) authored by John Quackenbush. Tianyu Kang et al.: Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. (2018) authored by John Quackenbush. Lana X. Garmire et al.: Session introduction. (2019) authored by John Quackenbush. Michael F. Ochs et al.: Session Introduction. (2008) authored by John Quackenbush. Michael F. Ochs et al.: Session Introduction. (2009) authored by John Quackenbush. Fenglong Liu et al.: GCOD - GeneChip Oncology Database. (2011) authored by John Quackenbush. Jessica Cara Mar et al.: Data-driven normalization strategies for high-throughput quantitative RT-PCR. (2009) authored by John Quackenbush. Joseph N. Paulson et al.: Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. (2017) authored by John Quackenbush. Amira Djebbari et al.: MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms. (2005) authored by John Quackenbush. Marieke L. Kuijjer et al.: PUMA: PANDA Using MicroRNA Associations. (2020) authored by John Quackenbush. Jessica Cara Mar et al.: Defining an informativeness metric for clustering gene expression data. (2011) authored by John Quackenbush. Markus S. Schröder et al.: RamiGO: an R/Bioconductor package providing an AmiGO Visualize interface. (2013) authored by John Quackenbush. Thomas W. Chittenden et al.: nEASE: a method for gene ontology subclassification of high-throughput gene expression data. (2012) authored by John Quackenbush. David G. P. van IJzendoorn et al.: PyPanda: a Python package for gene regulatory network reconstruction. (2016) authored by John Quackenbush. Kimberly Glass et al.: High performance computing of gene regulatory networks using a message-passing model. (2015) authored by John Quackenbush. Olga Andreeva et al.: Catalysis Clustering with GAN by Incorporating Domain Knowledge. (2020) authored by John Quackenbush. Tianyu Kang et al.: A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network. (2020) authored by John Quackenbush. John Quackenbush et al.: The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species. (2001) authored by John Quackenbush. John Quackenbush et al.: The TIGR Gene Indices: reconstruction and representation of expressed gene sequences. (2000) authored by John Quackenbush. Andrew H. Beck et al.: Significance Analysis of Prognostic Signatures. (2013) authored by John Quackenbush. Eleanor Howe et al.: RNA-Seq analysis in MeV. (2011) authored by John Quackenbush. Solaiappan Manimaran et al.: BatchQC: interactive software for evaluating sample and batch effects in genomic data. (2016) authored by John Quackenbush. David M. Rocke et al.: Papers on normalization, variable selection, classification or clustering of microarray data. (2009) authored by John Quackenbush. Geo Pertea et al.: TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. (2003) authored by John Quackenbush. John Quackenbush and Steven Salzberg: It is time to end the patenting of software. (2006) authored by John Quackenbush. Alexander Sturn et al.: Genesis: cluster analysis of microarray data. (2002) authored by John Quackenbush. Helen C. Causton et al.: Microarray gene expression data analysis - a beginner's guide. (2003) authored by John Quackenbush. Agnes P. Chan et al.: The TIGR Maize Database. (2006) authored by John Quackenbush. Aedín C. Culhane et al.: GeneSigDB - a curated database of gene expression signatures. (2010) authored by John Quackenbush. Yuandan Lee et al.: The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes. (2005) authored by John Quackenbush. Simon Papillon-Cavanagh et al.: Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity. (2013) authored by John Quackenbush. Jen-hwa Chu et al.: Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD. (2014) authored by John Quackenbush. Amira Djebbari and John Quackenbush: Seeded Bayesian Networks: Constructing genetic networks from microarray data. (2008) authored by John Quackenbush. Kimberly Glass et al.: Sexually-dimorphic targeting of functionally-related genes in COPD. (2014) authored by John Quackenbush. Megha Padi and John Quackenbush: Integrating transcriptional and protein interaction networks to prioritize condition-specific master regulators. (2015) authored by John Quackenbush. Benjamin Haibe-Kains et al.: Inconsistency in large pharmacogenomic studies. (2013) authored by John Quackenbush. Zhaleh Safikhani et al.: Safikhani et al. reply. (2016) authored by John Quackenbush. Kimberly Glass et al.: A network model for angiogenesis in ovarian cancer. (2015) authored by John Quackenbush. Jipeng Qiang et al.: Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer. (2017) authored by John Quackenbush. Alkis Gotovos et al.: Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. (2021) authored by John Quackenbush. Alkis Gotovos et al.: Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. (2021) authored by John Quackenbush. Reiko Nishihara et al.: Biomarker correlation network in colorectal carcinoma by tumor anatomic location. (2017) authored by John Quackenbush. Catherine A. Ball et al.: An open letter to the scientific journals. (2002) authored by John Quackenbush. Alex Bateman and John Quackenbush: Editorial. (2009) authored by John Quackenbush. Markus S. Schröder et al.: survcomp: an R/Bioconductor package for performance assessment and comparison of survival models. (2011) authored by John Quackenbush. Martin J. Aryee et al.: An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation). (2009) authored by John Quackenbush. Tim F. Rayner et al.: A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. (2006) authored by John Quackenbush. Adam A. Margolin et al.: CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data. (2005) authored by John Quackenbush. Jun S. Song et al.: Microarray blob-defect removal improves array analysis. (2007) authored by John Quackenbush. Jipeng Qiang et al.: Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer. (2020) authored by John Quackenbush. Marouen Ben Guebila et al.: GRAND: a database of gene regulatory network models across human conditions. (2022) authored by John Quackenbush. Benjamin Haibe-Kains et al.: Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. (2012) authored by John Quackenbush. Sheila M. Gaynor et al.: Identification of differentially expressed gene sets using the Generalized Berk-Jones statistic. (2019) authored by John Quackenbush. Daniel Gusenleitner et al.: iBBiG: iterative binary bi-clustering of gene sets. (2012) authored by John Quackenbush. Jarupon Fah Sathirapongsasuti et al.: Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV. (2011) authored by John Quackenbush. Daniel Schlauch et al.: Estimating gene regulatory networks with pandaR. (2017) authored by John Quackenbush. Rebekka Burkholz and John Quackenbush: Cascade Size Distributions and Why They Matter. (2019) authored by John Quackenbush. John Quackenbush: Looking back at the first twenty years of genomics. (2022) authored by John Quackenbush. Gianluca Bontempi et al.: Multiple-input multiple-output causal strategies for gene selection. (2011) authored by John Quackenbush. Aedín C. Culhane et al.: GeneSigDB: a manually curated database and resource for analysis of gene expression signatures. (2012) authored by John Quackenbush. Qiaoping Yuan et al.: The TIGR rice genome annotation resource: annotating the rice genome and creating resources for plant biologists. (2003) authored by John Quackenbush. Natali Gulbahce et al.: Viral Perturbations of Host Networks Reflect Disease Etiology. (2012) authored by John Quackenbush. Jessica Cara Mar and John Quackenbush: Decomposition of Gene Expression State Space Trajectories. (2009) authored by John Quackenbush. John Platig et al.: Bipartite Community Structure of eQTLs. (2016) authored by John Quackenbush{'author_wikipedia_text': \\\"John Quackenbush is an American computational biologist and genome scientist. He is a professor of biostatistics and computational biology and a professor of cancer biology at the Dana–Farber Cancer Institute (DFCI), as well as the director of its Center for Cancer Computational Biology (CCCB). Quackenbush also holds an appointment as a professor of computational biology and bioinformatics in the Department of Biostatistics at the Harvard School of Public Health.\\\\nA native of Mountain Top, Pennsylvania, Quackenbush attended Bishop Hoban High School in Wilkes Barre, graduating in 1979, after which he attended the California Institute of Technology, where he earned a bachelor's degree in physics. He went on to earn a doctorate in theoretical physics from the University of California, Los Angeles in 1990.\\\\nAfter working two years as a postdoctoral fellow in physics, Quackenbush was awarded a Special Emphasis Research Career Award from the National Center for Human Genome Research (the predecessor of the National Human Genome Research Institute), and subsequently spent the next two years at the Salk Institute working on physical maps of human chromosome 11, followed by another two years at Stanford University developing new laboratory and computational strategies for sequencing the human genome.\\\\nIn 1997, Quackenbush joined the faculty of The Institute for Genomic Research (TIGR) in Rockville, Maryland, where his focus began to shift to post-genomic applications, with an emphasis on microarray analysis. Using a combination of laboratory and computational approaches, Quackenbush and his group developed analytical methods based on the integration of data across domains to derive biological meaning from high-dimensional data.\\\\nIn 2005, Quackenbush was appointed to his current positions at the Dana–Farber Cancer Institute and the Harvard School of Public Health. Four years later, he launched the DFCI's Center for Cancer Computational Biology, which he directs and which provides broad-based bioinformatics and computational biology support to the research community through a collaborative consulting model, and which also performs and analyzes large-scale second-generation DNA sequencing.\\\\nQuackenbush's current research focuses on the analysis of human cancer using systems biology-based approaches to understanding and modeling the biological networks that underlie disease. This has led him and his colleagues to make fundamental discoveries about the role that variation in gene expression plays in defining biological phenotypes.\\\\nIn 2010, Quackenbush and his colleagues at CCCB, together with investigators at National Jewish Health's Center for Genes, Environment and Health, University of Pittsburgh's Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Boston University's Section for Computational Biomedicine and the Pulmonary Center, and the University of Colorado Denver's Genomics Core Facility received an $11 million grant under the American Recovery and Reinvestment Act of 2009 to launch the Lung Genomics Research Consortium. This project, funded by the National Heart Lung and Blood Institute (NHLBI), will add genetic, genomic, and epigenetic data to a collection of clinical biological samples developed by the NHLBI's Lung Tissue Research Consortium. The consortium aims to use genomic technologies and advanced data-analysis tools on available patient lung-tissue samples to gain new insights into pulmonary disease and thus develop more effective, personalized treatments.\\\\nIn 2011, Quackenbush published The Human Genome: Book of Essential Knowledge (Imagine Publishing, U.S.), which outlines the history, science, and implications of the Human Genome Project. He was also awarded a four-million-dollar fellowship bestowed by Australia's National Health and Medical Research Council to study chemotherapy resistant ovarian cancers in collaboration with colleagues at the University of Queensland's Institute for Molecular Bioscience.\\\\nQuackenbush currently serves on the editorial boards of five major journals and is editor-in-chief at Genomics. He has served on several committees at the National Academies and the Institute of Medicine, including the Committee on Validation of Toxicogenomic Technologies: A Focus on Chemical Classification Strategies,\\\\n the Panel on Collecting, Storing, Accessing, and Protecting Biological Specimens and Biodata Social Science Surveys, and the Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials. He is currently a member of scientific advisory boards at St. Jude Children's Research Hospital, the Lovelace Respiratory Research Institute, The Hope Funds for Cancer Research, and the National Institute for Health's Roadmap Epigenomics Project. Quackenbush is also a member of the scientific advisory boards of a number of biotech and precision medicine companies, including Caris Life Sciences, SynapDx, Perthera, and NABsys.[citation needed]\\\\nIn 2011, Quackenbush, along with partner Mick Correll, founded Genospace, a software company focused on developing tools to enable precision genomic medicine. As of 2014[update], Quackenbush was the chief executive officer of Genospace. In the summer of 2013, Quackenbush was honored as a White House Open Science Champion of Change.\\\\nIn January, 2017, Genospace was acquired by Hospital Corporation of America (HCA) and merged with HCA's Sarah Cannon cancer institute as a wholly owned subsidiary.\\\"}\",\n \"verbalizer_on_all_triples\": \"John Quackenbush wrote 34 papers in 2012.\\nJohn Quackenbush wrote 24 papers in 2013.\\nJohn Quackenbush wrote 25 papers in 2014.\\nJohn Quackenbush wrote 14 papers in 2015.\\nJohn Quackenbush wrote a paper amount of 28 in 2016.\\nJohn Quackenbush wrote 31 papers in 2017.\\nJohn Quackenbush wrote 21 papers in 2018.\\nJohn Quackenbush has written paper amount in year2019: 22.\\nJohn Quackenbush has written paper amount in year 2020: 25.\\nJohn Quackenbush wrote a paper amount of 26 in year 2021.\\nJohn Quackenbush wrote 13 papers in 2022.\\nJohn Quackenbush wrote 138 papers in 2023.\\nJohn Quackenbush has a 2YrMeanCitedness of 5.6862745285034179688.\\nJohn Quackenbush is affiliated with Dana-Farber Cancer Institute, Boston, USA.\\nJohn Quackenbush is also known as \\\"John <unk> Quackenbush, J. Quackenbush, Jeffrey Quackenbush, John F. Quackenbush, John Quackenbush, Quackenbush\\\".\\n\\\"Alexander Sturn et al.: Genesis: cluster analysis of microarray data. (2002), Rebekka Burkholz and John Quackenbush: Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. (2021), Tianyu Kang et al.: Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping. (2018), Sheila M. Gaynor et al.:\\nJohn Quackenbush is cited by count of 65442.\\nJohn Quackenbush has an h-index of 99.\\nJohn Quackenbush has an i10Index of 288.\\nJohn Quackenbush is the creator and the author of John Quackenbush.\\nJohn Quackenbush is linked to https://en.wikipedia.org/wiki/John_Quackenbush and http://www.wikidata.org/entity/Q6253638.\\nJohn Quackenbush is a member of Harvard University.\\nJohn Quackenbush was modified on 2023-10-18.\\nJohn Quackenbush is also known as John Quackenbush.\\nJohn Quackenbush has orcidId https://orcid.org/0000-0002-2702-5879.\\nJohn Quackenbush's primary affiliation is Dana-Farber Cancer Institute, Boston, USA.\\nJohn Quackenbush has 675 works.{'author_wikipedia_text': \\\"John Quackenbush is an American computational biologist and genome scientist. He is a professor of biostatistics and computational biology and a professor of cancer biology at the Dana–Farber Cancer Institute (DFCI), as well as the director of its Center for Cancer Computational Biology (CCCB). Quackenbush also holds an appointment as a professor of computational biology and bioinformatics in the Department of Biostatistics at the Harvard School of Public Health.\\\\nA native of Mountain Top, Pennsylvania, Quackenbush attended Bishop Hoban High School in Wilkes Barre, graduating in 1979, after which he attended the California Institute of Technology, where he earned a bachelor's degree in physics. He went on to earn a doctorate in theoretical physics from the University of California, Los Angeles in 1990.\\\\nAfter working two years as a postdoctoral fellow in physics, Quackenbush was awarded a Special Emphasis Research Career Award from the National Center for Human Genome Research (the predecessor of the National Human Genome Research Institute), and subsequently spent the next two years at the Salk Institute working on physical maps of human chromosome 11, followed by another two years at Stanford University developing new laboratory and computational strategies for sequencing the human genome.\\\\nIn 1997, Quackenbush joined the faculty of The Institute for Genomic Research (TIGR) in Rockville, Maryland, where his focus began to shift to post-genomic applications, with an emphasis on microarray analysis. Using a combination of laboratory and computational approaches, Quackenbush and his group developed analytical methods based on the integration of data across domains to derive biological meaning from high-dimensional data.\\\\nIn 2005, Quackenbush was appointed to his current positions at the Dana–Farber Cancer Institute and the Harvard School of Public Health. Four years later, he launched the DFCI's Center for Cancer Computational Biology, which he directs and which provides broad-based bioinformatics and computational biology support to the research community through a collaborative consulting model, and which also performs and analyzes large-scale second-generation DNA sequencing.\\\\nQuackenbush's current research focuses on the analysis of human cancer using systems biology-based approaches to understanding and modeling the biological networks that underlie disease. This has led him and his colleagues to make fundamental discoveries about the role that variation in gene expression plays in defining biological phenotypes.\\\\nIn 2010, Quackenbush and his colleagues at CCCB, together with investigators at National Jewish Health's Center for Genes, Environment and Health, University of Pittsburgh's Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Boston University's Section for Computational Biomedicine and the Pulmonary Center, and the University of Colorado Denver's Genomics Core Facility received an $11 million grant under the American Recovery and Reinvestment Act of 2009 to launch the Lung Genomics Research Consortium. This project, funded by the National Heart Lung and Blood Institute (NHLBI), will add genetic, genomic, and epigenetic data to a collection of clinical biological samples developed by the NHLBI's Lung Tissue Research Consortium. The consortium aims to use genomic technologies and advanced data-analysis tools on available patient lung-tissue samples to gain new insights into pulmonary disease and thus develop more effective, personalized treatments.\\\\nIn 2011, Quackenbush published The Human Genome: Book of Essential Knowledge (Imagine Publishing, U.S.), which outlines the history, science, and implications of the Human Genome Project. He was also awarded a four-million-dollar fellowship bestowed by Australia's National Health and Medical Research Council to study chemotherapy resistant ovarian cancers in collaboration with colleagues at the University of Queensland's Institute for Molecular Bioscience.\\\\nQuackenbush currently serves on the editorial boards of five major journals and is editor-in-chief at Genomics. He has served on several committees at the National Academies and the Institute of Medicine, including the Committee on Validation of Toxicogenomic Technologies: A Focus on Chemical Classification Strategies,\\\\n the Panel on Collecting, Storing, Accessing, and Protecting Biological Specimens and Biodata Social Science Surveys, and the Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials. He is currently a member of scientific advisory boards at St. Jude Children's Research Hospital, the Lovelace Respiratory Research Institute, The Hope Funds for Cancer Research, and the National Institute for Health's Roadmap Epigenomics Project. Quackenbush is also a member of the scientific advisory boards of a number of biotech and precision medicine companies, including Caris Life Sciences, SynapDx, Perthera, and NABsys.[citation needed]\\\\nIn 2011, Quackenbush, along with partner Mick Correll, founded Genospace, a software company focused on developing tools to enable precision genomic medicine. As of 2014[update], Quackenbush was the chief executive officer of Genospace. In the summer of 2013, Quackenbush was honored as a White House Open Science Champion of Change.\\\\nIn January, 2017, Genospace was acquired by Hospital Corporation of America (HCA) and merged with HCA's Sarah Cannon cancer institute as a wholly owned subsidiary.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Alexander Sturn et al.: Genesis: cluster analysis of microarray data. (2002), Richard Tong et al.: Knowledge-Based Access to the Bio-Medical Literature, Ontologically-Grounded Experiments for the TREC 2003 Genomics Track. (2003), John Quackenbush et al.: The TIGR Gene Indices: reconstruction and representation of expressed gene sequences. (2000), Eleanor Howe et al.: RNA\\\\nIn 2011, Quackenbush published The Human Genome: Book of Essential Knowledge (Imagine Publishing, U. \\\\nIn 1997, Quackenbush joined the faculty of The Institute for Genomic Research (TIGR) in Rockville, Maryland, where his focus began to shift to post-genomic applications, with an emphasis on microarray analysis. \\\\nQuackenbush currently serves on the editorial boards of five major journals and is editor-in-chief at Genomics. {'author_wikipedia_text': \\\"John Quackenbush is an American computational biologist and genome scientist. ), which outlines the history, science, and implications of the Human Genome Project. \\\\nAfter working two years as a postdoctoral fellow in physics, Quackenbush was awarded a Special Emphasis Research Career Award from the National Center for Human Genome Research (the predecessor of the National Human Genome Research Institute), and subsequently spent the next two years at the Salk Institute working on physical maps of human chromosome 11, followed by another two years at Stanford University developing new laboratory and computational strategies for sequencing the human genome\"\n}"}}},{"rowIdx":67,"cells":{"id":{"kind":"string","value":"bc973905-cd7d-40e2-a5b2-ce39bb9c89b5"},"triples_number":{"kind":"number","value":624,"string":"624"},"question":{"kind":"string","value":"How many citations does the co-author of Kostümsprache als Mustersprache: Vom analytischen Wert Formaler Sprachen und Muster in den Filmwissenschaften at DHd in 2014, who collaborated with Johanna Barzen from University of Stuttgart, Germany, have?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"43\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"43\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"50\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"50\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"36\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"36\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"2.234375\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"University of Stuttgart, Germany\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Frank Leymann\"\n },\n {\n \"object\": \"F. 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(2023)\"\n },\n {\n \"object\": \"Frank Leymann\",\n \"predicate\": \"authored by\",\n \"subject\": \"Katharina Görlach et al.: Conventional Workflow Technology for Scientific Simulation. (2011)\"\n },\n {\n \"object\": \"Frank Leymann\",\n \"predicate\": \"authored by\",\n \"subject\": \"Frank Leymann et al.: Business Process Management Standards. (2015)\"\n },\n {\n \"object\": \"Frank Leymann\",\n \"predicate\": \"authored by\",\n \"subject\": \"François Hantry et al.: Business Process Management. (2010)\"\n },\n {\n \"object\": \"Frank Leymann\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mirko Sonntag et al.: The Missing Features of Workflow Systems for Scientific Computations. (2010)\"\n },\n {\n \"object\": \"Frank Leymann\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alfonso Panarello et al.: Automating the Deployment of Multi-Cloud Applications in Federated Cloud Environments. 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(2014) authored by Frank Leymann. Johanna Barzen et al.: Musterforschung in den Geisteswissenschaften: Werkzeugumgebung zur Musterextraktion aus Filmkostümen. (2015) authored by Frank Leymann. Johanna Barzen et al.: Ein Ansatz zur Unterstützung des Kostümmanagements im Film auf Basis einer Mustersprache. (2012) authored by Frank Leymann. Johanna Barzen et al.: Ähnlichkeitssuche in den Digital Humanities: Semi-automatische Identifikation von Kostümmustern. (2016) authored by Frank Leymann. Johanna Barzen et al.: Erratum to: The vision for MUSE4Music. (2017) authored by Frank Leymann. Jörg Nitzsche et al.: BPELlight. (2007) authored by Frank Leymann. Johanna Barzen et al.: The vision for MUSE4Music. (2017) authored by Frank Leymann. Marlon Dumas et al.: Preface (BPS 2005). (2005) authored by Frank Leymann. Oliver Kopp et al.: The Subprocess Spectrum. (2010) authored by Frank Leymann. Oliver Kopp et al.: Towards choreography transactions. (2009) authored by Frank Leymann. Wolfgang Altenhuber and Frank Leymann: Unterstützung der Modellierung und Ausführung von Geschäftsvorgängen im LAN. (1993) authored by Frank Leymann. Claes Neuefeind et al.: Lebende Systemein den Digital Humanities - das Projekt SustainLife. (2018) authored by Frank Leymann. Frank Leymann link https://scholar.google.com/citations?user=qRnegTsAAAAJ. Michael Falkenthal et al.: Datenanalyse in den Digital Humanities - Eine Annäherung an Kostümmuster mittels OLAP Cubes. (2015) authored by Frank Leymann. Oliver Kopp and Frank Leymann: Choreography Design Using WS-BPEL. (2008) authored by Frank Leymann. David Schumm et al.: A pattern language for costumes in films. (2012) authored by Frank Leymann. Frank Leymann and Johanna Barzen: Pattern Atlas. (2020) authored by Frank Leymann. Frank Leymann and Johanna Barzen: Pattern Atlas. (2021) authored by Frank Leymann. Johanna Barzen and Frank Leymann: Quantum humanities: a vision for quantum computing in digital humanities. (2020) authored by Frank Leymann. Johanna Barzen et al.: SustainLife - Erhalt lebender, digitaler Systeme für die Geisteswissenschaften. (2018) authored by Frank Leymann. Frank Leymann member of University of Stuttgart. Frank Leymann scopus http://www.scopus.com/inward/authorDetails.url?authorID=6603379902&partnerID=MN8TOARS. Frank Leymann: Objektverwaltung basierend auf Relationalen Datenbanksystemen. (1992) authored by Frank Leymann. Frank Leymann affiliation University of Stuttgart, Germany. Lukas Reinfurt et al.: Where to begin: on pattern language entry points. (2020) authored by Frank Leymann. Donald Kossmann and Frank Leymann: Web Services. (2004) authored by Frank Leymann. Oliver Kopp and Frank Leymann: Do we need internal behavior in choreography models? (2009) authored by Frank Leymann. Frank Leymann link https://www.scopus.com/authid/detail.uri?authorId=6603379902. C. Timurhan Sungur et al.: Identifying Relevant Resources and Relevant Capabilities of Collaborations - A Case Study. (2016) authored by Frank Leymann. Frank Leymann is Author. Frank Leymann link http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/leymann/. Frank Leymann link http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/leymann/. Frank Leymann primary affiliation University of Stuttgart, Germany. Andreas Heuer et al.: Datenbanksysteme in Büro, Technik und Wissenschaft (BTW), 9. GI-Fachtagung, Oldenburg, 7.-9. März 2001, Proceedings (2001) edited by Frank Leymann. Stefanie Rinderle-Ma et al.: Special Issue on BPM 2009 Workshops. (2011) authored by Frank Leymann. Frank Leymann citedByCount 14917. Uwe Breitenbücher et al.: Digitale Nachhaltigkeit in den Geisteswissenschaften durch TOSCA: Nutzung eines standardbasierten Open-Source Ökosystems. (2017) authored by Frank Leymann. Michael Falkenthal et al.: Pattern research in the digital humanities: how data mining techniques support the identification of costume patterns. (2017) authored by Frank Leymann. Donald Kossmann et al.: Editorial (Web Services). (2004) authored by Frank Leymann. Frank Leymann: Transaktionsunterstützung für Workflows. (1997) authored by Frank Leymann. Jessica Thomsen et al.: Darstellung des Konzeptes - DMA Decentralised Market Agent - zur Bewältigung zukünftiger Herausforderungen in Verteilnetzen. (2015) authored by Frank Leymann. Frank Leymann: BPEL vs. BPMN 2.0: Should You Care? (2010) authored by Frank Leymann. Fabian Bühler et al.: MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. (2022) authored by Frank Leymann. Fabian Bühler et al.: MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. (2022) authored by Frank Leymann. Marigianna Skouradaki et al.: \\\"BPELanon\\\": Anonymizing BPEL Processes. (2014) authored by Frank Leymann. Lukas Harzenetter et al.: Analysis and Categorisation of Research Software in the Digital Humanities. (2020) authored by Frank Leymann. Frank Leymann link https://zbmath.org/authors/?q=ai:leymann.frank. Oliver Kopp et al.: External and Internal Events in EPCs: e2EPCs. (2009) authored by Frank Leymann. David Schumm et al.: Business Process Automation for Costume Management in Film Making: An Insight into Processes, Roles, and Document Structures. (2012) authored by Frank Leymann. Frank Leymann: Web-Services - Kurz erklärt. (2003) authored by Frank Leymann Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference. {'author_wikipedia_text': \\\"Michael C\",\n \"plain\": \"Frank Leymann is Author. Frank Leymann modified 2023-10-18. Frank Leymann citedByCount 14917. Frank Leymann written paper amount in year2012: 31. Frank Leymann written paper amount in year2012: 31. Frank Leymann written paper amount in year2013: 43. Frank Leymann written paper amount in year2013: 43. Frank Leymann written paper amount in year2014: 50. Frank Leymann written paper amount in year2014: 50. Frank Leymann written paper amount in year2015: 31. Frank Leymann written paper amount in year2015: 31. Frank Leymann written paper amount in year2016: 39. Frank Leymann written paper amount in year2016: 39. Frank Leymann written paper amount in year2017: 30. Frank Leymann written paper amount in year2017: 30. Frank Leymann written paper amount in year2018: 16. Frank Leymann written paper amount in year2018: 16. Frank Leymann written paper amount in year2019: 39. Frank Leymann written paper amount in year2019: 39. Frank Leymann written paper amount in year2020: 36. Frank Leymann written paper amount in year2020: 36. Frank Leymann written paper amount in year2021: 28. Frank Leymann written paper amount in year2021: 28. Frank Leymann written paper amount in year2022: 21. Frank Leymann written paper amount in year2022: 21. Frank Leymann written paper amount in year2023: 19. Frank Leymann written paper amount in year2023: 19. Frank Leymann worksCount 703. Frank Leymann name Frank Leymann. Frank Leymann member of University of Stuttgart. Frank Leymann h-index 53. Frank Leymann 2YrMeanCitedness 2.234375. Frank Leymann alternativeName F. Leymann. Frank Leymann alternativeName Frank Leymann. Frank Leymann alternativeName Leymann. Frank Leymann alternativeName Leymann Frank. Frank Leymann i10Index 262. Frank Leymann orcidId https://orcid.org/0000-0002-9123-259X. Frank Leymann scopus http://www.scopus.com/inward/authorDetails.url?authorID=6603379902&partnerID=MN8TOARS. Frank Leymann is Creator. Frank Leymann is Person. Frank Leymann link http://www.wikidata.org/entity/Q57312419. Frank Leymann affiliation University of Stuttgart, Germany. Frank Leymann link http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/leymann/. Frank Leymann primary affiliation University of Stuttgart, Germany. Frank Leymann link http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/leymann/. Frank Leymann link https://www.researcherid.com/rid/I-2070-2016. Frank Leymann link https://mathgenealogy.org/id.php?id=105541. Frank Leymann link https://zbmath.org/authors/?q=ai:leymann.frank. Frank Leymann link https://dl.acm.org/profile/81100279802. Frank Leymann link https://www.scopus.com/authid/detail.uri?authorId=6603379902. Frank Leymann link https://scholar.google.com/citations?user=qRnegTsAAAAJ. Frank Leymann link https://en.wikipedia.org/wiki/Frank_Leymann. Ghareeb Falazi et al.: Qualitative Interview Study to Assess the Usefulness of the IaC-based Application Compliance Management Framework (IACMF). (2023) authored by Frank Leymann. Miles Stötzner et al.: Datasets for a Systematic Technology Review of General-Purpose Open-Source TOSCA Orchestrators. (2023) authored by Frank Leymann. Katharina Görlach et al.: Conventional Workflow Technology for Scientific Simulation. (2011) authored by Frank Leymann. Frank Leymann et al.: Business Process Management Standards. (2015) authored by Frank Leymann. François Hantry et al.: Business Process Management. (2010) authored by Frank Leymann. Mirko Sonntag et al.: The Missing Features of Workflow Systems for Scientific Computations. (2010) authored by Frank Leymann. Alfonso Panarello et al.: Automating the Deployment of Multi-Cloud Applications in Federated Cloud Environments. (2016) authored by Frank Leymann. Uwe Breitenbücher et al.: The OpenTOSCA Ecosystem - Concepts & Tools. (2016) authored by Frank Leymann. Oliver Kopp et al.: The Subprocess Spectrum. (2010) authored by Frank Leymann. Ganna Monakova et al.: Verifying Business Rules Using an SMT Solver for BPEL Processes. (2009) authored by Frank Leymann. David Schumm et al.: Essential Aspects of Compliance Management with Focus on Business Process Automation. (2010) authored by Frank Leymann. Dieter König et al.: Web Services Invocation Framwork: A Step towards Virtualization Components. (2003) authored by Frank Leymann. C. Timurhan Sungur et al.: Identifying Relevant Resources and Relevant Capabilities of Informal Processes. (2017) authored by Frank Leymann. Michael Zimmermann et al.: A TOSCA-based Programming Model for Interacting Components of Automatically Deployed Cloud and IoT Applications. (2017) authored by Frank Leymann. Katharina Görlach and Frank Leymann: A Flexible Engine for the Unified Execution of Service Compositions. (2015) authored by Frank Leymann. Marigianna Skouradaki et al.: Application of Sub-Graph Isomorphism to Extract Reoccurring Structures from BPMN 2.0 Process Models. (2015) authored by Frank Leymann. Marie Salm et al.: About a criterion of successfully executing a circuit in the NISQ era: what wd ≪ 1/ε eff really means. (2020) authored by Frank Leymann. Benjamin Weder et al.: The Quantum software lifecycle. (2020) authored by Frank Leymann. Niels Lohmann et al.: Analyzing BPEL4Chor: Verification and Participant Synthesis. (2007) authored by Frank Leymann. Rakesh Agrawal et al.: Taming Compliance with Sarbanes-Oxley Internal Controls Using Database Technology. (2006) authored by Frank Leymann. David Schumm et al.: Business Process Compliance through Reusable Units of Compliant Processes. (2010) authored by Frank Leymann. C. Timurhan Sungur et al.: Transforming Collaboration Structures into Deployable Informal Processes. (2015) authored by Frank Leymann. Frank Leymann: Native Cloud Applications - Why Virtual Machines, Images and Containers Miss the Point! (2016) authored by Frank Leymann. Uwe Breitenbücher et al.: Combining Declarative and Imperative Cloud Application Provisioning Based on TOSCA. (2014) authored by Frank Leymann. Santiago Gomez Saez et al.: Evaluating Caching Strategies for Cloud Data Access Using an Enterprise Service Bus. (2014) authored by Frank Leymann. Sebastian Wagner et al.: Performance Optimizations for Interacting Business Processes. (2013) authored by Frank Leymann. Johannes Wettinger et al.: Automated Capturing and Systematic Usage of DevOps Knowledge for Cloud Applications. (2015) authored by Frank Leymann. Johannes Wettinger et al.: Characterizing and Evaluating Different Deployment Approaches for Cloud Applications. (2014) authored by Frank Leymann. Michael Zimmermann et al.: Data Flow Dependent Component Placement of Data Processing Cloud Applications. (2020) authored by Frank Leymann. Francisco Curbera et al.: Exception Handling in the BPEL4WS Language. (2003) authored by Frank Leymann. Marlon Dumas et al.: Preface (BPS 2005). (2005) authored by Frank Leymann. Dimka Karastoyanova et al.: Parameterized BPEL Processes: Concepts and Implementation. (2006) authored by Frank Leymann. Oliver Kopp et al.: External and Internal Events in EPCs: e2EPCs. (2009) authored by Frank Leymann. Oliver Kopp et al.: A Model-Driven Approach to Implementing Coordination Protocols in BPEL. (2008) authored by Frank Leymann. Olha Danylevych et al.: Optimal Stratification of Transactions. (2009) authored by Frank Leymann. Zhilei Ma et al.: Query Structural Information of BPEL Processes. (2009) authored by Frank Leymann. Ralph Mietzner et al.: Defining Composite Configurable SaaS Application Packages Using SCA, Variability Descriptors and Multi-tenancy Patterns. (2008) authored by Frank Leymann. Jörg Nitzsche et al.: WSDL 2.0 Message Exchange Patterns: Limitations and Opportunities. (2008) authored by Frank Leymann. Johanna Barzen et al.: Ein Ansatz zur Unterstützung des Kostümmanagements im Film auf Basis einer Mustersprache. (2012) authored by Frank Leymann. Frank Leymann and Dieter Roller: Modeling Business Processes with BPEL4WS. (2004) authored by Frank Leymann. Johanna Barzen et al.: 1st Workshop on Quantum Software Architecture (QSA). (2021) authored by Frank Leymann. Ghareeb Falazi et al.: On Unifying the Compliance Management of Applications Based on IaC Automation. (2022) authored by Frank Leymann. Florian Haupt et al.: A Framework for the Structural Analysis of REST APIs. (2017) authored by Frank Leymann. Manuela Weigold et al.: Expanding Data Encoding Patterns For Quantum Algorithms. (2021) authored by Frank Leymann. Marigianna Skouradaki et al.: On the Road to Benchmarking BPMN 2.0 Workflow Engines. (2015) authored by Frank Leymann. Oliver Kopp et al.: Towards a Cloud-based Platform Architecture for a Decentralized Market Agent. (2015) authored by Frank Leymann. Frank Leymann: The Influence of Web Services on Software: Potentials and Tasks. (2004) authored by Frank Leymann. Frank Leymann and Dieter Roller: Web Services als technische Grundlage für E-Business-Engineering. (2001) authored by Frank Leymann. Santiago Gómez Sáez et al.: Performance-aware Application Distribution in the Cloud. (2014) authored by Frank Leymann. David Schumm et al.: On Visualizing and Modelling BPEL with BPMN. (2009) authored by Frank Leymann. Tammo van Lessen et al.: A Management Framework for WS-BPEL. (2008) authored by Frank Leymann. Oliver Kopp et al.: Interaction Choreography Models in BPEL: Choreographies on the Enterprise Service Bus. (2010) authored by Frank Leymann. Marigianna Skouradaki et al.: Benchmarking Workflow Management Systems. (2014) authored by Frank Leymann. Michael Zimmermann et al.: A Method and Programming Model for Developing Interacting Cloud Applications Based on the TOSCA Standard. (2017) authored by Frank Leymann. Jorge Cardoso et al.: Cloud Computing Automation: Integrating USDL and TOSCA. (2013) authored by Frank Leymann. Olha Danylevych et al.: A Framework of Views on Service Networks Models. (2011) authored by Frank Leymann. Gero Decker et al.: Modeling Service Choreographies Using BPMN and BPEL4Chor. (2008) authored by Frank Leymann. Vincenzo Ferme et al.: Performance Comparison Between BPMN 2.0 Workflow Management Systems Versions. (2017) authored by Frank Leymann. Frank Leymann: Combining Web Services and the Grid: Towards Adaptive Enterprise Applications. (2005) authored by Frank Leymann. Marigianna Skouradaki et al.: Micro-Benchmarking BPMN 2.0 Workflow Management Systems with Workflow Patterns. (2016) authored by Frank Leymann. Karoline Wild et al.: Decentralized Cross-organizational Application Deployment Automation: An Approach for Generating Deployment Choreographies Based on Declarative Deployment Models. (2020) authored by Frank Leymann. Michael Wurster et al.: TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies. (2020) authored by Frank Leymann. Hong Linh Truong et al.: Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud Systems. (2016) authored by Frank Leymann. Daniel Wutke et al.: Model and infrastructure for decentralized workflow enactment. (2008) authored by Frank Leymann. Julian Obst et al.: Comparing Quantum Service Offerings. (2023) authored by Frank Leymann. Daniel Vietz et al.: An Exploratory Study on the Challenges of Engineering Quantum Applications in the Cloud. (2021) authored by Frank Leymann. Marie Salm et al.: Prioritization of Compiled Quantum Circuits for Different Quantum Computers. (2022) authored by Frank Leymann. Oliver Kopp et al.: On the Choice Between Graph-Based and Block-Structured Business Process Modeling Languages. (2008) authored by Frank Leymann. Stephan Urbanski et al.: PerFlows for the Computers of the 21st Century. (2009) authored by Frank Leymann. Matthias Wieland et al.: Towards situation-aware adaptive workflows: SitOPT - A general purpose situation-aware workflow management system. (2015) authored by Frank Leymann. Tobias Anstett et al.: Towards BPEL in the Cloud: Exploiting Different Delivery Models for the Execution of Business Processes. (2009) authored by Frank Leymann. Ralph Mietzner and Frank Leymann: Towards Provisioning the Cloud: On the Usage of Multi-Granularity Flows and Services to Realize a Unified Provisioning Infrastructure for SaaS Applications. (2008) authored by Frank Leymann. Pascal Hirmer et al.: Automatic Topology Completion of TOSCA-based Cloud Applications. (2014) authored by Frank Leymann. Jessica Thomsen et al.: Darstellung des Konzeptes - DMA Decentralised Market Agent - zur Bewältigung zukünftiger Herausforderungen in Verteilnetzen. (2015) authored by Frank Leymann. Matthias Wieland et al.: Towards Integration of Uncertain Sensor Data into Context-aware Workflows. (2009) authored by Frank Leymann. Rania Khalaf and Frank Leymann: On Web Services Aggregation. (2003) authored by Frank Leymann. Frank Leymann: Die Kombination von Web Services und Grid - Eine neue Art IT zu verstehen. (2004) authored by Frank Leymann. Dimka Karastoyanova et al.: A Reference Architecture for Semantic Business Process Management Systems. (2008) authored by Frank Leymann. Ralph Mietzner et al.: An Algorithm for the Validation of Executable Completions of an Abstract BPEL Process. (2008) authored by Frank Leymann. David Schumm et al.: Integrating Compliance into Business Processes. (2010) authored by Frank Leymann. Anthony Finkelstein et al.: Object Orientation and Web Services. (2003) authored by Frank Leymann. Daniel Georg et al.: Execution Patterns for Quantum Applications. (2023) authored by Frank Leymann. Stefanie Rinderle-Ma et al.: Business Process Management Workshops, BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised Papers (2010) edited by Frank Leymann. Rania Khalaf and Frank Leymann: Coordination for Fragmented Loops and Scopes in a Distributed Business Process. (2010) authored by Frank Leymann. Michele Mancioppi et al.: Towards Classification Criteria for Process Fragmentation Techniques. (2011) authored by Frank Leymann. Jörg Nitzsche et al.: BPELlight. (2007) authored by Frank Leymann. Jussi Vanhatalo et al.: Repository for Business Processes and Arbitrary Associated Metadata. (2006) authored by Frank Leymann. Sanjiva Weerawarana et al.: Bringing Middleware to Everyday Programmers with Ballerina. (2018) authored by Frank Leymann. Maximilian Ahrens et al.: Second International SeMSoC Workshop - Business Oriented Aspects Concerning Semantics and Methodologies in Service-Oriented Computing. (2007) authored by Frank Leymann. Tobias Anstett et al.: MC-Cube: Mastering Customizable Compliance in the Cloud. (2009) authored by Frank Leymann. Martin Beisel et al.: Quokka: A Service Ecosystem for Workflow-Based Execution of Variational Quantum Algorithms. (2022) authored by Frank Leymann. Tobias Binz et al.: OpenTOSCA - A Runtime for TOSCA-Based Cloud Applications. (2013) authored by Frank Leymann. Aliaksandr Birukou et al.: An Integrated Solution for Runtime Compliance Governance in SOA. (2010) authored by Frank Leymann. Aliaksandr Birukou et al.: An Integrated Solution for Runtime Compliance Governance in SOA. (2010) authored by Frank Leymann. Marina Bitsaki et al.: Model Transformations to Leverage Service Networks. (2008) authored by Frank Leymann. Hanna Eberle et al.: Retry Scopes to Enable Robust Workflow Execution in Pervasive Environments. (2009) authored by Frank Leymann. Gabriela Gheorghe et al.: Combining Enforcement Strategies in Service Oriented Architectures. (2010) authored by Frank Leymann. Lukasz Juszczyk et al.: CAGE: Customizable Large-Scale SOA Testbeds in the Cloud. (2010) authored by Frank Leymann. Dimka Karastoyanova et al.: An Approach to Parameterizing Web Service Flows. (2005) authored by Frank Leymann. Raman Kazhamiakin et al.: Adaptation of Service-Based Applications Based on Process Quality Factor Analysis. (2009) authored by Frank Leymann. Kálmán Képes et al.: SiDD: The Situation-Aware Distributed Deployment System. (2020) authored by Frank Leymann. Rania Khalaf et al.: Maintaining Data Dependencies Across BPEL Process Fragments. (2007) authored by Frank Leymann. Rania Khalaf et al.: Pluggable Framework for Enabling the Execution of Extended BPEL Behavior. (2007) authored by Frank Leymann. Oliver Kopp et al.: Winery - A Modeling Tool for TOSCA-Based Cloud Applications. (2013) authored by Frank Leymann. Oliver Kopp et al.: Fault Handling in the Web Service Stack. (2010) authored by Frank Leymann. Andrea Lamparelli et al.: Smart Contract Locator (SCL) and Smart Contract Description Language (SCDL). (2019) authored by Frank Leymann. Philipp Leitner et al.: Preventing SLA Violations in Service Compositions Using Aspect-Based Fragment Substitution. (2010) authored by Frank Leymann. Philipp Leitner et al.: Runtime Prediction of Service Level Agreement Violations for Composite Services. (2009) authored by Frank Leymann. Tammo van Lessen et al.: An Execution Engine for Semantic Business Processes. (2007) authored by Frank Leymann. Frank Leymann: The (Service) Bus: Services Penetrate Everyday Life. (2005) authored by Frank Leymann. Frank Leymann and K. Güntzel: The Business Grid: Providing Transactional Business Processes via Grid Services. (2003) authored by Frank Leymann. Alexander Mandl et al.: Linear Structure of Training Samples in Quantum Neural Network Applications. (2023) authored by Frank Leymann. Annapaola Marconi et al.: Enabling Adaptation of Pervasive Flows: Built-in Contextual Adaptation. (2009) authored by Frank Leymann. Alexander Nowak et al.: Towards Green Business Process Reengineering. (2010) authored by Frank Leymann. Kerstin Pfitzner et al.: Web Service Choreography Configurations for BPMN. (2007) authored by Frank Leymann. Karoline Saatkamp et al.: OpenTOSCA Injector: Vertical and Horizontal Topology Model Injection. (2017) authored by Frank Leymann. Jussi Vanhatalo et al.: Faster and More Focused Control-Flow Analysis for Business Process Models Through SESE Decomposition. (2007) authored by Frank Leymann. Jussi Vanhatalo et al.: Automatic Workflow Graph Refactoring and Completion. (2008) authored by Frank Leymann. Johannes Wettinger et al.: Compensation-Based vs. Convergent Deployment Automation for Services Operated in the Cloud. (2014) authored by Frank Leymann. Michael Wurster et al.: The EDMM Modeling and Transformation System. (2019) authored by Frank Leymann. Uwe Zdun et al.: Ensuring and Assessing Architecture Conformance to Microservice Decomposition Patterns. (2017) authored by Frank Leymann. Olaf Zimmermann et al.: Architectural Decisions and Patterns for Transactional Workflows in SOA. (2007) authored by Frank Leymann. Karl M. Göschka et al.: Proceedings of the 1st Workshop on Middleware for Service Oriented Computing, MW4SOC 2006, Melbourne, Australia, November 27 - December 01, 2006 (2006) edited by Frank Leymann. Karl M. Göschka et al.: Proceedings of the 2nd Workshop on Middleware for Service Oriented Computing, MW4SOC 2007, Newport Beach, CA, USA, November 26-30, 2007 (2007) edited by Frank Leymann. Karl M. Göschka et al.: Proceedings of the 3rd Workshop on Middleware for Service Oriented Computing, MW4SOC 2008, Leuven, Belgium, December 1-5, 2008 (2008) edited by Frank Leymann. Karl M. Göschka et al.: Proceedings of the 5th International Workshop on Middleware for Service Oriented Computing, MW4SOC, Bangalore, India, November 29 - December 03, 2010 (2010) edited by Frank Leymann. Marc Bischof et al.: BPELscript: A Simplified Script Syntax for WS-BPEL 2.0. (2009) authored by Frank Leymann. Johanna Barzen et al.: Service-Oriented Computing - 16th Symposium and Summer School, SummerSOC 2022, Hersonissos, Crete, Greece, July 3-9, 2022, Revised Selected Papers (2022) edited by Frank Leymann. Fabian Bühler et al.: Combining the Best of Two Worlds: Microservices and Micro Frontends as Basis for a New Plugin Architecture. (2022) authored by Frank Leymann. Marie Salm et al.: Optimizing the Prioritization of Compiled Quantum Circuits by Machine Learning Approaches. (2022) authored by Frank Leymann. Manuela Weigold et al.: Patterns for Hybrid Quantum Algorithms. (2021) authored by Frank Leymann. Michael Hahn et al.: Modeling Data Transformations in Data-Aware Service Choreographies. (2018) authored by Frank Leymann. Ghareeb Falazi et al.: Process-Based Composition of Permissioned and Permissionless Blockchain Smart Contracts. (2019) authored by Frank Leymann. Florian Haupt et al.: Service Composition for REST. (2014) authored by Frank Leymann. Dimka Karastoyanova et al.: Extending BPEL for Run Time Adaptability. (2005) authored by Frank Leymann. Kálmán Képes et al.: Deployment of Distributed Applications Across Public and Private Networks. (2019) authored by Frank Leymann. Falko Koetter et al.: Integrating Compliance Requirements across Business and IT. (2014) authored by Frank Leymann. Daniel Martin et al.: A Novel Approach to Decentralized Workflow Enactment. (2008) authored by Frank Leymann. Daniel Martin et al.: An EAI Pattern-Based Comparison of Spaces and Messaging. (2007) authored by Frank Leymann. Ralph Mietzner et al.: Combining Different Multi-tenancy Patterns in Service-Oriented Applications. (2009) authored by Frank Leymann. Jörg Nitzsche et al.: Extending BPELlight for Expressing Multi-Partner Message Exchange Patterns. (2008) authored by Frank Leymann. Alexander Nowak et al.: Determining Power Consumption of Business Processes and Their Activities to Enable Green Business Process Reengineering. (2013) authored by Frank Leymann. Thorsten Scheibler et al.: EAI as a Service - Combining the Power of Executable EAI Patterns and SaaS. (2008) authored by Frank Leymann. Daniel Schleicher et al.: Compliance Domains: A Means to Model Data-Restrictions in Cloud Environments. (2011) authored by Frank Leymann. David Schumm et al.: Applicability of Process Viewing Patterns in Business Process Management. (2010) authored by Frank Leymann. David Schumm et al.: Process Viewing Patterns. (2010) authored by Frank Leymann. C. Timurhan Sungur et al.: Informal Process Essentials. (2014) authored by Frank Leymann. C. Timurhan Sungur et al.: Identifying Relevant Resources and Relevant Capabilities of Collaborations - A Case Study. (2016) authored by Frank Leymann. Tobias Unger et al.: Aggregation of Service Level Agreements in the Context of Business Processes. (2008) authored by Frank Leymann. Daniel Vietz et al.: Splitting Quantum-Classical Scripts for the Generation of Quantum Workflows. (2022) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: Service Selection for On-Demand Provisioned Services. (2014) authored by Frank Leymann. Benjamin Weder et al.: MODULO: Modeling, Transformation, and Deployment of Quantum Workflows. (2021) authored by Frank Leymann. Monika Weidmann et al.: Synchronization of Adaptive Process Models Using Levels of Abstraction. (2011) authored by Frank Leymann. Johannes Wettinger et al.: Deployment Aggregates - A Generic Deployment Automation Approach for Applications Operated in the Cloud. (2014) authored by Frank Leymann. Branimir Wetzstein et al.: Monitoring and Analyzing Influential Factors of Business Process Performance. (2009) authored by Frank Leymann. Matthias Wieland et al.: Towards Reference Passing in Web Service and Workflow-Based Applications. (2009) authored by Frank Leymann. Karoline Wild et al.: TOSCA4QC: Two Modeling Styles for TOSCA to Automate the Deployment and Orchestration of Quantum Applications. (2020) authored by Frank Leymann. Michael Wurster et al.: Modeling and Automated Execution of Application Deployment Tests. (2018) authored by Frank Leymann. Vladimir Yussupov et al.: Serverless Parachutes: Preparing Chosen Functionalities for Exceptional Workloads. (2019) authored by Frank Leymann. Vladimir Yussupov et al.: Pattern-based Modelling, Integration, and Deployment of Microservice Architectures. (2020) authored by Frank Leymann. Michael Zimmermann et al.: Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments Using OpenTOSCA. (2017) authored by Frank Leymann. Michael Zimmermann et al.: Standards-Based Function Shipping - How to Use TOSCA for Shipping and Executing Data Analytics Software in Remote Manufacturing Environments. (2017) authored by Frank Leymann. Gero Decker et al.: BPEL4Chor: Extending BPEL for Modeling Choreographies. (2007) authored by Frank Leymann. Florian Haupt et al.: A Model-Driven Approach for REST Compliant Services. (2014) authored by Frank Leymann. Dimka Karastoyanova and Frank Leymann: BPEL'n'Aspects: Adapting Service Orchestration Logic. (2009) authored by Frank Leymann. Rania Khalaf and Frank Leymann: E Role-based Decomposition of Business Processes using BPEL. (2006) authored by Frank Leymann. Frank Leymann and Stefan Pottinger: Rethinking the Coordination Models of WS-Coordination and WS-CF. (2005) authored by Frank Leymann. Karima Mokhtari et al.: Privacy Time-Related Analysis in Business Protocols. (2009) authored by Frank Leymann. Adina Sirbu et al.: Dynamic Composition of Pervasive Process Fragments. (2011) authored by Frank Leymann. Marigianna Skouradaki et al.: Representative BPMN 2.0 Process Model Generation from Recurring Structures. (2016) authored by Frank Leymann. Benjamin Weder et al.: Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective. (2021) authored by Frank Leymann. Florian Haupt et al.: A Conversation Based Approach for Modeling REST APIs. (2015) authored by Frank Leymann. Olaf Zimmermann et al.: Combining Pattern Languages and Reusable Architectural Decision Models into a Comprehensive and Comprehensible Design Method. (2008) authored by Frank Leymann. Daniel Martin et al.: Synchronizing control flow in a tuplespace-based, distributed workflow management system. (2008) authored by Frank Leymann. Vasilios Andrikopoulos et al.: Optimal Distribution of Applications in the Cloud. (2014) authored by Frank Leymann. Ghareeb Falazi et al.: Smart Contract Invocation Protocol (SCIP): A Protocol for the Uniform Integration of Heterogeneous Blockchain Smart Contracts. (2020) authored by Frank Leymann. Mirko Sonntag et al.: Views on Scientific Workflows. (2011) authored by Frank Leymann. Jörg Niemöller et al.: Towards a service composition language for heterogeneous service environments. (2011) authored by Frank Leymann. Michael Hahn et al.: Development and Evaluation of a Multi-tenant Service Middleware PaaS Solution. (2014) authored by Frank Leymann. Lukas Harzenetter et al.: Pattern-Based Deployment Models and Their Automatic Execution. (2018) authored by Frank Leymann. Lukas Harzenetter et al.: Automated detection of design patterns in declarative deployment models. (2021) authored by Frank Leymann. Benjamin Weder et al.: Integrating Quantum Computing into Workflow Modeling and Execution. (2020) authored by Frank Leymann. Johannes Wettinger et al.: Standards-Based DevOps Automation and Integration Using TOSCA. (2014) authored by Frank Leymann. Vladimir Yussupov et al.: Facing the Unplanned Migration of Serverless Applications: A Study on Portability Problems, Solutions, and Dead Ends. (2019) authored by Frank Leymann. Vladimir Yussupov et al.: A Systematic Mapping Study on Engineering Function-as-a-Service Platforms and Tools. (2019) authored by Frank Leymann. Frank Leymann: Cloud Computing - Fundamental Architecture & Future Applications. (2009) authored by Frank Leymann. Hanna Eberle et al.: Process Fragment Composition Operations. (2010) authored by Frank Leymann. Hanna Eberle et al.: Transactional Process Fragments - Recovery Strategies for Flexible Workflows with Process Fragments. (2010) authored by Frank Leymann. Frank Leymann: A Practitioners Approach to Database Federation. (1999) authored by Frank Leymann. Dimka Karastoyanova et al.: Semantic Service Bus: Architecture and Implementation of a Next Generation Middleware. (2007) authored by Frank Leymann. Frank Leymann and Dieter Roller: Building A Robust Workflow Management System With Persistent Queues and Stored Procedures. (1998) authored by Frank Leymann. Michael Hahn et al.: Data-Aware Service Choreographies Through Transparent Data Exchange. (2016) authored by Frank Leymann. David Schumm et al.: Web Service Composition Reuse through Shared Process Fragment Libraries. (2012) authored by Frank Leymann. Oliver Kopp et al.: From Process Models to Business Landscapes. (2007) authored by Frank Leymann. Oliver Kopp et al.: Nautilus Event-driven Process Chains: Syntax, Semantics, and their Mapping to BPEL. (2006) authored by Frank Leymann. Ulrich Flegel et al.: Legally Sustainable Solutions for Privacy Issues in Collaborative Fraud Detection. (2010) authored by Frank Leymann. Matthias Wieland et al.: Task-orientierte Anwendungen in einer Smart Factory. (2006) authored by Frank Leymann. Frank Leymann: Linked Compute Units and Linked Experiments: Using Topology and Orchestration Technology for Flexible Support of Scientific Applications. (2012) authored by Frank Leymann. Frank Leymann and Johanna Barzen: Pattern Atlas. (2021) authored by Frank Leymann. Tobias Binz et al.: Improving the Manageability of Enterprise Topologies Through Segmentation, Graph Transformation, and Analysis Strategies. (2012) authored by Frank Leymann. Lukas Harzenetter et al.: Automated Generation of Management Workflows for Applications Based on Deployment Models. (2019) authored by Frank Leymann. Hanna Eberle et al.: Enforcement from the Inside: Improving Quality of Business in Process Management. (2009) authored by Frank Leymann. Michael Hahn et al.: A Management Life Cycle for Data-Aware Service Choreographies. (2016) authored by Frank Leymann. Ralph Mietzner et al.: Virtualizing Services and Resources with ProBus: The WS-Policy-Aware Service and Resource Bus. (2009) authored by Frank Leymann. Florian Daniel et al.: Business Compliance Governance in Service-Oriented Architectures. (2009) authored by Frank Leymann. Christoph Fehling et al.: Pattern-Based Development and Management of Cloud Applications. (2012) authored by Frank Leymann. Johanna Barzen et al.: Guest editorial: Selected extended papers from the Quantum Software Architecture Workshop at IEEE International Conference on Software Architecture 2021 (ICSA 2021). (2021) authored by Frank Leymann. Benjamin Weder et al.: QProv: A provenance system for quantum computing. (2021) authored by Frank Leymann. Manuela Weigold et al.: Encoding patterns for quantum algorithms. (2021) authored by Frank Leymann. Tobias Binz et al.: Migration of enterprise applications to the cloud. (2014) authored by Frank Leymann. Matthias Kloppmann et al.: Enabling Technology: Ein J2EE-basiertes Business Process Management System zur Ausführung von BPEL- und Web Service-basierten Geschäftsprozessen. (2004) authored by Frank Leymann. Frank Steimle et al.: Extended provisioning, security and analysis techniques for the ECHO health data management system. (2017) authored by Frank Leymann. Frank Leymann: Web Services and Their Composition. (2001) authored by Frank Leymann. Branimir Wetzstein et al.: Cross-organizational process monitoring based on service choreographies. (2010) authored by Frank Leymann. Sebastian Wagner et al.: Towards choreography-based process distribution in the cloud. (2011) authored by Frank Leymann. Daniel Vietz et al.: On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies. (2021) authored by Frank Leymann. David Schumm et al.: Fragmento: Advanced Process Fragment Library. (2010) authored by Frank Leymann. Monika Kochanowski et al.: Compliance in BPM today - an insight into experts' views and industry challenges. (2014) authored by Frank Leymann. Shaukat Ali et al.: IEEE International Conference on Quantum Software, QSW 2022, Barcelona, Spain, July 10-16, 2022 (2022) edited by Frank Leymann. Shaukat Ali et al.: IEEE International Conference on Quantum Software, QSW 2023, Chicago, IL, USA, July 2-8, 2023 (2023) edited by Frank Leymann. Alireza Furutanpey et al.: Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. (2023) authored by Frank Leymann. Lukas Harzenetter et al.: Analysis and Categorisation of Research Software in the Digital Humanities. (2020) authored by Frank Leymann. Philip Schildkamp et al.: Workshop on Modelling and Maintaining Research Applications in TOSCA. (2020) authored by Frank Leymann. Kálmán Képes et al.: Situation-Aware Updates for Cyber-Physical Systems. (2020) authored by Frank Leymann. Marie Salm et al.: The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms. (2020) authored by Frank Leymann. Marie Salm et al.: Automating the Comparison of Quantum Compilers for Quantum Circuits. (2021) authored by Frank Leymann. Manuela Weigold et al.: Pattern Views: Concept and Tooling for Interconnected Pattern Languages. (2020) authored by Frank Leymann. Vladimir Yussupov et al.: Serverless or Serverful? A Pattern-Based Approach for Exploring Hosting Alternatives. (2022) authored by Frank Leymann. Vasilios Andrikopoulos et al.: Design Support for Cost-Efficient Application Distribution in the Cloud. (2014) authored by Frank Leymann. Vasilios Andrikopoulos et al.: Supporting the Migration of Applications to the Cloud through a Decision Support System. (2013) authored by Frank Leymann. Tobias Binz et al.: Formalizing the Cloud through Enterprise Topology Graphs. (2012) authored by Frank Leymann. Ivona Brandic et al.: Compliant Cloud Computing (C3): Architecture and Language Support for User-Driven Compliance Management in Clouds. (2010) authored by Frank Leymann. Christoph Fehling et al.: Capturing Cloud Computing Knowledge and Experience in Patterns. (2012) authored by Frank Leymann. Christoph Fehling et al.: A Framework for Optimized Distribution of Tenants in Cloud Applications. (2010) authored by Frank Leymann. Christoph Fehling et al.: Flexible Process-Based Applications in Hybrid Clouds. (2011) authored by Frank Leymann. Florian Haupt et al.: Lego4TOSCA: Composable Building Blocks for Cloud Applications. (2014) authored by Frank Leymann. Evangelos Ntentos et al.: Detecting and Resolving Coupling-Related Infrastructure as Code Based Architecture Smells in Microservice Deployments. (2023) authored by Frank Leymann. Santiago Gomez Saez et al.: Towards Dynamic Application Distribution Support for Performance Optimization in the Cloud. (2014) authored by Frank Leymann. Santiago Gomez Saez et al.: Dynamic Tailoring and Cloud-Based Deployment of Containerized Service Middleware. (2015) authored by Frank Leymann. Johannes Wettinger et al.: Enabling Dynamic Deployment of Cloud Applications Using a Modular and Extensible PaaS Environment. (2013) authored by Frank Leymann. Johannes Wettinger et al.: Dyn Tail - Dynamically Tailored Deployment Engines for Cloud Applications. (2015) authored by Frank Leymann. Guadalupe Ortiz and Frank Leymann: Combining WS-Policy and Aspect-Oriented Programming. (2006) authored by Frank Leymann. David Schumm et al.: State propagation for business process monitoring on different levels of abstraction. (2011) authored by Frank Leymann. Sylvia Radeschütz et al.: Matching of Process Data and Operational Data for a Deep Business Analysis. (2008) authored by Frank Leymann. Thorsten Scheibler et al.: From Pipes-and-Filters to Workflows. (2010) authored by Frank Leymann. Thorsten Scheibler and Frank Leymann: A Framework for Executable Enterprise Application Integration Patterns. (2008) authored by Frank Leymann. Schahram Dustdar et al.: Service Oriented and Cloud Computing - 4th European Conference, ESOCC 2015, Taormina, Italy, September 15-17, 2015. Proceedings (2015) edited by Frank Leymann. Vasilios Andrikopoulos et al.: CloudDSF - The Cloud Decision Support Framework for Application Migration. (2014) authored by Frank Leymann. Vasilios Andrikopoulos et al.: A GENTL Approach for Cloud Application Topologies. (2014) authored by Frank Leymann. Kálmán Képes et al.: Situation-Aware Execution and Dynamic Adaptation of Traditional Workflow Models. (2016) authored by Frank Leymann. Christoph Krieger et al.: Monitoring Behavioral Compliance with Architectural Patterns Based on Complex Event Processing. (2020) authored by Frank Leymann. Steve Strauch et al.: Implementation and Evaluation of a Multi-tenant Open-Source ESB. (2013) authored by Frank Leymann. Benjamin Weder et al.: Deployable Self-contained Workflow Models. (2020) authored by Frank Leymann. Johannes Wettinger et al.: DevOpSlang - Bridging the Gap between Development and Operations. (2014) authored by Frank Leymann. Michael Wurster et al.: Technology-Agnostic Declarative Deployment Automation of Cloud Applications. (2020) authored by Frank Leymann. Martin Hepp et al.: Semantic Business Process Management: A Vision Towards Using Semantic Web Services for Business Process Management. (2005) authored by Frank Leymann. Olaf Zimmermann et al.: Reusable Architectural Decision Models for Enterprise Application Development. (2007) authored by Frank Leymann. Jasmin Guth et al.: Comparison of IoT platform architectures: A field study based on a reference architecture. (2016) authored by Frank Leymann. Branimir Wetzstein et al.: Towards Measuring Key Performance Indicators of Semantic Business Processes. (2008) authored by Frank Leymann. Matthias Wieland et al.: SOEDA: A Method for Specification and Implementation of Applications on a Service-Oriented Event-Driven Architecture. (2009) authored by Frank Leymann. Uwe Breitenbücher et al.: A situation-aware workflow modelling extension. (2015) authored by Frank Leymann. Oliver Kopp et al.: Extending choreography spheres to improve simulations. (2010) authored by Frank Leymann. Daniel Martin et al.: Using tuplespaces to enact petri net-based workflow definitions. (2008) authored by Frank Leymann. Karoline Saatkamp et al.: Generic driver injection for automated IoT application deployments. (2017) authored by Frank Leymann. C. Timurhan Sungur et al.: Executing informal processes. (2015) authored by Frank Leymann. Michael Wurster et al.: Developing, deploying, and operating twelve-factor applications with TOSCA. (2017) authored by Frank Leymann. Zhilei Ma and Frank Leymann: BPEL Fragments for Modularized Reuse in Modeling BPEL Processes. (2009) authored by Frank Leymann. Branimir Wetzstein et al.: Measuring Performance Metrics of WS-BPEL Service Compositions. (2009) authored by Frank Leymann. Cesare Pautasso et al.: Restful web services vs. \\\"big\\\"' web services: making the right architectural decision. (2008) authored by Frank Leymann. David Schumm et al.: Composite Process View Transformation. (2011) authored by Frank Leymann. David Schumm et al.: Process Views to Support Compliance Management in Business Processes. (2010) authored by Frank Leymann. Sebastian Wagner et al.: Fostering the Reuse of TOSCA-based Applications by Merging BPEL Management Plans. (2016) authored by Frank Leymann. Sebastian Wagner et al.: A Method for Reusing TOSCA-based Applications and Management Plans. (2016) authored by Frank Leymann. Frank Leymann et al.: CLOSER 2011 - Proceedings of the 1st International Conference on Cloud Computing and Services Science, Noordwijkerhout, Netherlands, 7-9 May, 2011 (2011) edited by Frank Leymann. Frank Leymann et al.: CLOSER 2012 - Proceedings of the 2nd International Conference on Cloud Computing and Services Science, Porto, Portugal, 18 - 21 April, 2012 (2012) edited by Frank Leymann. Ivan I. Ivanov et al.: Cloud Computing and Services Science - Second International Conference, CLOSER 2012, Porto, Portugal, April 18-21, 2012. Revised Selected Papers (2013) edited by Frank Leymann. Frédéric Desprez et al.: CLOSER 2013 - Proceedings of the 3rd International Conference on Cloud Computing and Services Science, Aachen, Germany, 8-10 May, 2013 (2013) edited by Frank Leymann. Markus Helfert et al.: Cloud Computing and Services Science - Third International Conference, CLOSER 2013, Aachen, Germany, May 8-10, 2013, Revised Selected Papers (2014) edited by Frank Leymann. Markus Helfert et al.: CLOSER 2014 - Proceedings of the 4th International Conference on Cloud Computing and Services Science, Barcelona, Spain, April 3-5, 2014. (2014) edited by Frank Leymann. Markus Helfert et al.: Cloud Computing and Services Sciences - International Conference in Cloud Computing and Services Sciences, CLOSER 2014, Barcelona Spain, April 3-5, 2014, Revised Selected Papers (2015) edited by Frank Leymann. Vasilios Andrikopoulos et al.: Designing for CAP - The Effect of Design Decisions on the CAP Properties of Cloud-native Applications. (2012) authored by Frank Leymann. Vasilios Andrikopoulos et al.: CAP-Oriented Design for Cloud-Native Applications. (2012) authored by Frank Leymann. Vasilios Andrikopoulos et al.: Decision Support for Application Migration to the Cloud - Challenges and Vision. (2013) authored by Frank Leymann. Johanna Barzen et al.: Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective. (2020) authored by Frank Leymann. Martin Beisel et al.: QuantME4VQA: Modeling and Executing Variational Quantum Algorithms Using Workflows. (2023) authored by Frank Leymann. Alexander Bergmayr et al.: From Architecture Modeling to Application Provisioning for the Cloud by Combining UML and TOSCA. (2016) authored by Frank Leymann. Tobias Binz et al.: Improve Resource-sharing through Functionality-preserving Merge of Cloud Application Topologies. (2013) authored by Frank Leymann. Uwe Breitenbücher et al.: Context-Aware Provisioning and Management of Cloud Applications. (2014) authored by Frank Leymann. Uwe Breitenbücher et al.: A Modelling Concept to Integrate Declarative and Imperative Cloud Application Provisioning Technologies. (2015) authored by Frank Leymann. Uwe Breitenbücher et al.: Hybrid TOSCA Provisioning Plans: Integrating Declarative and Imperative Cloud Application Provisioning Technologies. (2015) authored by Frank Leymann. Uwe Breitenbücher et al.: Pattern-based Runtime Management of Composite Cloud Applications. (2013) authored by Frank Leymann. Uwe Breitenbücher et al.: Context-aware Cloud Application Management. (2014) authored by Frank Leymann. Christian Endres et al.: Anything to Topology - A Method and System Architecture to Topologize Technology-specific Application Deployment Artifacts. (2017) authored by Frank Leymann. Vincenzo Ferme et al.: A Container-centric Methodology for Benchmarking Workflow Management Systems. (2016) authored by Frank Leymann. Lukas Harzenetter et al.: Automated Generation of Management Workflows for Running Applications by Deriving and Enriching Instance Models. (2021) authored by Frank Leymann. Marc Hüffmeyer et al.: Authorization-aware HATEOAS. (2018) authored by Frank Leymann. Kálmán Képes et al.: The SePaDe System: Packaging Entire XaaS Layers for Automatically Deploying and Managing Applications. (2017) authored by Frank Leymann. Kálmán Képes et al.: Situation-Aware Management of Cyber-Physical Systems. (2019) authored by Frank Leymann. Falko Koetter et al.: Unified Compliance Modeling and Management using Compliance Descriptors. (2016) authored by Frank Leymann. Falko Koetter et al.: An Universal Approach for Compliance Management Using Compliance Descriptors. (2016) authored by Frank Leymann. Frank Leymann et al.: Native Cloud Applications: Why Monolithic Virtualization Is Not Their Foundation. (2016) authored by Frank Leymann. Frank Leymann et al.: Quantum in the Cloud: Application Potentials and Research Opportunities. (2020) authored by Frank Leymann. Fei Li et al.: EUPaaS - Elastic Ubiquitous Platform as a Service for Large-scale Ubiquitous Applications. (2013) authored by Frank Leymann. Karoline Saatkamp et al.: An Approach to Determine & Apply Solutions to Solve Detected Problems in Restructured Deployment Models using First-order Logic. (2019) authored by Frank Leymann. Karoline Saatkamp et al.: Topology Splitting and Matching for Multi-Cloud Deployments. (2017) authored by Frank Leymann. Santiago Gómez Sáez et al.: Performance and Cost Evaluation for the Migration of a Scientific Workflow Infrastructure to the Cloud. (2015) authored by Frank Leymann. Santiago Gómez Sáez et al.: Performance and Cost Trade-Off in IaaS Environments: A Scientific Workflow Simulation Environment Case Study. (2015) authored by Frank Leymann. Santiago Gómez Sáez et al.: Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies. (2016) authored by Frank Leymann. Marie Salm et al.: How to Select Quantum Compilers and Quantum Computers Before Compilation. (2023) authored by Frank Leymann. Ana Cristina Franco da Silva et al.: Internet of Things Out of the Box: Using TOSCA for Automating the Deployment of IoT Environments. (2017) authored by Frank Leymann. Marigianna Skouradaki et al.: \\\"BPELanon\\\" - Protect Business Processes on the Cloud. (2015) authored by Frank Leymann. Jacopo Soldani et al.: Tailoring Technology-Agnostic Deployment Models to Production-Ready Deployment Technologies. (2021) authored by Frank Leymann. Steve Strauch et al.: Migrating Application Data to the Cloud using Cloud Data Patterns. (2013) authored by Frank Leymann. Steve Strauch et al.: Transparent Access to Relational Databases in the Cloud using a Multi-tenant ESB. (2014) authored by Frank Leymann. Steve Strauch et al.: Cloud Data Patterns for Confidentiality. (2012) authored by Frank Leymann. Sebastian Wagner et al.: Choreography-based Consolidation of Multi-instance BPEL Processes. (2014) authored by Frank Leymann. Sebastian Wagner et al.: Choreography-based Consolidation of Interacting Processes Having Activity-based Loops. (2015) authored by Frank Leymann. Benjamin Weder et al.: Analysis and Rewrite of Quantum Workflows: Improving the Execution of Hybrid Quantum Algorithms. (2022) authored by Frank Leymann. Johannes Wettinger et al.: Integrating Configuration Management with Model-driven Cloud Management based on TOSCA. (2013) authored by Frank Leymann. Johannes Wettinger et al.: Unified Invocation of Scripts and Services for Provisioning, Deployment, and Management of Cloud Applications Based on TOSCA. (2014) authored by Frank Leymann. Johannes Wettinger et al.: ANY2API - Automated APIfication - Generating APIs for Executables to Ease their Integration and Orchestration for Cloud Application Deployment Automation. (2015) authored by Frank Leymann. Johannes Wettinger et al.: Streamlining APIfication by Generating APIs for Diverse Executables Using Any2API. (2015) authored by Frank Leymann. Michael Wurster et al.: Automating the Deployment of Distributed Applications by Combining Multiple Deployment Technologies. (2021) authored by Frank Leymann. Michael Wurster et al.: Cloud-native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications. (2020) authored by Frank Leymann. Michael Wurster et al.: TOSCA Light: Bridging the Gap between the TOSCA Specification and Production-ready Deployment Technologies. (2020) authored by Frank Leymann. Vladimir Yussupov et al.: SEAPORT: Assessing the Portability of Serverless Applications. (2020) authored by Frank Leymann. Vladimir Yussupov et al.: From Serverful to Serverless: A Spectrum of Patterns for Hosting Application Components. (2021) authored by Frank Leymann. Michael Zimmermann et al.: Self-contained Service Deployment Packages. (2020) authored by Frank Leymann. Zhilei Ma et al.: Semantic Business Process Repository. (2007) authored by Frank Leymann. Frank Leymann and Dieter Roller: Business Process Management With FlowMark. (1994) authored by Frank Leymann. Frank Leymann: Towards a Pattern Language for Quantum Algorithms. (2017) authored by Frank Leymann. Karoline Saatkamp et al.: Application Threat Modeling and Automated VNF Selection for Mitigation using TOSCA. (2019) authored by Frank Leymann. Thorsten Scheibler et al.: Dynamic Message Routing Using Processes. (2009) authored by Frank Leymann. Thorsten Scheibler and Frank Leymann: From Modelling to Execution of Enterprise Integration Scenarios: The GENIUS Tool. (2009) authored by Frank Leymann. Frank Leymann: Grid and Applications (Industrial Session). (2003) authored by Frank Leymann. Willem-Jan van den Heuvel et al.: Software service engineering: Tenets and challenges. (2009) authored by Frank Leymann. Johanna Barzen et al.: SustainLife - Erhalt lebender, digitaler Systeme für die Geisteswissenschaften. (2018) authored by Frank Leymann. Johanna Barzen et al.: Musterforschung in den Geisteswissenschaften: Werkzeugumgebung zur Musterextraktion aus Filmkostümen. (2015) authored by Frank Leymann. Johanna Barzen et al.: Ähnlichkeitssuche in den Digital Humanities: Semi-automatische Identifikation von Kostümmustern. (2016) authored by Frank Leymann. Johanna Barzen and Frank Leymann: Kostümsprache als Mustersprache: Vom analytischen Wert Formaler Sprachen und Muster in den Filmwissenschaften. (2014) authored by Frank Leymann. Uwe Breitenbücher et al.: Digitale Nachhaltigkeit in den Geisteswissenschaften durch TOSCA: Nutzung eines standardbasierten Open-Source Ökosystems. (2017) authored by Frank Leymann. Fabian Bühler et al.: MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. (2022) authored by Frank Leymann. Fabian Bühler et al.: MUSE4Anything - Ontologiebasierte Generierung von Werkzeugen zur strukturierten Erfassung von Daten. (2022) authored by Frank Leymann. Claes Neuefeind et al.: Technologienutzung im Kontext Digitaler Editionen - eine Landschaftsvermessung. (2019) authored by Frank Leymann. Philip Schildkamp et al.: Modellierung und Verwaltung von DH-Anwendungen in TOSCA. (2020) authored by Frank Leymann. Johanna Barzen et al.: Erratum to: The vision for MUSE4Music. (2017) authored by Frank Leymann. Johanna Barzen and Frank Leymann: Quantum humanities: a vision for quantum computing in digital humanities. (2020) authored by Frank Leymann. Giuliano Casale et al.: RADON: rational decomposition and orchestration for serverless computing. (2020) authored by Frank Leymann. Ghareeb Falazi et al.: Transactional properties of permissioned blockchains. (2020) authored by Frank Leymann. Michael Falkenthal et al.: Pattern research in the digital humanities: how data mining techniques support the identification of costume patterns. (2017) authored by Frank Leymann. Michael Falkenthal et al.: On the algebraic properties of concrete solution aggregation. (2019) authored by Frank Leymann. Jasmin Guth and Frank Leymann: Pattern-based rewrite and refinement of architectures using graph theory. (2020) authored by Frank Leymann. Michael Hahn et al.: Modeling and execution of data-aware choreographies: an overview. (2018) authored by Frank Leymann. Lukas Harzenetter et al.: Freezing and defrosting cloud applications: automated saving and restoring of running applications. (2020) authored by Frank Leymann. Frank Leymann: Transaktionsunterstützung für Workflows. (1997) authored by Frank Leymann. Lukas Reinfurt et al.: Where to begin: on pattern language entry points. (2020) authored by Frank Leymann. Michael Wurster et al.: The essential deployment metamodel: a systematic review of deployment automation technologies. (2020) authored by Frank Leymann. Uwe Breitenbücher et al.: Vinothek - A Self-Service Portal for TOSCA. (2014) authored by Frank Leymann. Uwe Breitenbücher et al.: Six Strategies for Building High Performance SOA Applications. (2012) authored by Frank Leymann. Christoph Demont et al.: Towards Integrating TOSCA and ITIL. (2013) authored by Frank Leymann. Oliver Kopp et al.: A Domain-Specific Modeling Tool to Model Management Plans for Composite Applications. (2015) authored by Frank Leymann. Oliver Kopp and Frank Leymann: Do we need internal behavior in choreography models? (2009) authored by Frank Leymann. Oliver Kopp et al.: On BPMN Process Fragment Auto-Completion. (2011) authored by Frank Leymann. Oliver Kopp et al.: Towards The Essential Flow Model. (2011) authored by Frank Leymann. Oliver Kopp et al.: Mapping interconnection choreography models to interaction choreography models. (2010) authored by Frank Leymann. Oliver Kopp et al.: Towards choreography transactions. (2009) authored by Frank Leymann. Frank Leymann et al.: On designing a people-oriented constraint-based workflow language. (2010) authored by Frank Leymann. Ganna Monakova et al.: Improving control flow verification in a business process using an extended Petri net. (2009) authored by Frank Leymann. Marigianna Skouradaki et al.: \\\"BPELanon\\\": Anonymizing BPEL Processes. (2014) authored by Frank Leymann. C. Timurhan Sungur et al.: Supporting Informal Processes. (2014) authored by Frank Leymann. Tobias Unger et al.: Research challenges on person-centric flows. (2010) authored by Frank Leymann. Sebastian Wagner et al.: Towards Verification of Process Merge Patterns with Allen's Interval Algebra. (2012) authored by Frank Leymann. Sebastian Wagner et al.: Consolidation of Interacting BPEL Process Models with Fault Handlers. (2013) authored by Frank Leymann. Johannes Wettinger et al.: Improving Portability of Cloud Service Topology Models Relying on Script-Based Deployment. (2013) authored by Frank Leymann. Daniel Wutke et al.: A method for partitioning BPEL processes for decentralized execution. (2009) authored by Frank Leymann. Carlos Pedrinaci et al.: Semantic Business Process Management: Scaling Up the Management of Business Processes. (2008) authored by Frank Leymann. Oliver Kopp et al.: Modeling Choreographies: BPMN 2.0 versus BPEL-based Approaches. (2011) authored by Frank Leymann. Michael Falkenthal et al.: OpenTOSCA for the 4th Industrial Revolution: Automating the Provisioning of Analytics Tools based on Apache Flink. (2016) authored by Frank Leymann. Ana Cristina Franco da Silva et al.: OpenTOSCA for IoT: Automating the Deployment of IoT Applications based on the Mosquitto Message Broker. (2016) authored by Frank Leymann. Stefanie Rinderle-Ma et al.: Special Issue on BPM 2009 Workshops. (2011) authored by Frank Leymann. Rania Khalaf et al.: Maintaining Data Dependencies across BPEL Process Fragments. (2008) authored by Frank Leymann. Frank Leymann et al.: Moving Applications to the Cloud: an Approach Based on Application Model Enrichment. (2011) authored by Frank Leymann. Karima Mokhtari-Aslaoui et al.: Timed Privacy-Aware Business Protocols. (2012) authored by Frank Leymann. Mike P. Papazoglou et al.: Service-Oriented Computing: a Research Roadmap. (2008) authored by Frank Leymann. Johannes Wettinger et al.: Compensation and Convergence - Comparing and Combining Deployment Automation Approaches. (2015) authored by Frank Leymann. Santiago Gómez Sáez et al.: Utility-Based Decision Making for Migrating Cloud-Based Applications. (2018) authored by Frank Leymann. Johannes Wettinger et al.: Middleware-Oriented Deployment Automation for Cloud Applications. (2018) authored by Frank Leymann. Srinath Perera et al.: A use case centric survey of Blockchain: status quo and future directions. (2019) authored by Frank Leymann. Ghareeb Falazi et al.: Unified Integration of Smart Contracts Through Service Orientation. (2020) authored by Frank Leymann. Steve Strauch et al.: Migrating enterprise applications to the cloud: methodology and evaluation. (2014) authored by Frank Leymann. Frank Leymann: Choreography for the Grid: towards fitting BPEL to the resource framework. (2006) authored by Frank Leymann. Ralph Mietzner et al.: Horizontal and vertical combination of multi-tenancy patterns in service-oriented applications. (2011) authored by Frank Leymann. Ganna Monakova and Frank Leymann: Workflow ART: a framework for multidimensional workflow analysis. (2013) authored by Frank Leymann. Thorsten Scheibler et al.: EMod: platform independent modelling, description and enactment of parameterisable EAI patterns. (2009) authored by Frank Leymann. Branimir Wetzstein et al.: Identifying influential factors of business process performance using dependency analysis. (2011) authored by Frank Leymann. Frank Leymann: Workflows Make Objects Really Useful. (1996) authored by Frank Leymann. David Schumm et al.: Business Process Automation for Costume Management in Film Making: An Insight into Processes, Roles, and Document Structures. (2012) authored by Frank Leymann. Ralph Mietzner et al.: Business Grid: Combining Web Services and the Grid. (2009) authored by Frank Leymann. Alireza Furutanpey et al.: Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. (2023) authored by Frank Leymann. Vladimir Yussupov et al.: FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms. (2020) authored by Frank Leymann. Michael Reiter et al.: A Novel Framework for Monitoring and Analyzing Quality of Data in Simulation Workflows. (2011) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: Bootstrapping Complex Workflow Middleware Systems into the Cloud. (2015) authored by Frank Leymann. Oliver Kopp et al.: The Difference Between Graph-Based and Block-Structured Business Process Modelling Languages (2009) authored by Frank Leymann. Wil M. P. van der Aalst et al.: The role of business processes in service oriented architectures (Editorial). (2007) authored by Frank Leymann. Oliver Günther et al.: Pricing web services. (2007) authored by Frank Leymann. Mirko Sonntag et al.: Process space-based scientific workflow enactment. (2010) authored by Frank Leymann. Dimka Karastoyanova and Frank Leymann: Service Oriented Architecture - Overview of Technologies and Standards. (2008) authored by Frank Leymann. Frank Leymann: Cloud Computing. (2011) authored by Frank Leymann. Vasilios Andrikopoulos et al.: How to adapt applications for the Cloud environment - Challenges and solutions in migrating applications to the Cloud. (2013) authored by Frank Leymann. Pascal Hirmer et al.: Situation recognition and handling based on executing situation templates and situation-aware workflows. (2017) authored by Frank Leymann. Alexander Nowak et al.: Pattern-driven green adaptation of process-based applications and their runtime infrastructure. (2012) authored by Frank Leymann. Karoline Saatkamp et al.: Method, formalization, and algorithms to split topology models for distributed cloud application deployments. (2020) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: On-demand provisioning of workflow middleware and services into the cloud: an overview. (2017) authored by Frank Leymann. Frank Leymann and Johanna Barzen: Pattern Atlas. (2020) authored by Frank Leymann. Dimka Karastoyanova et al.: Semantic Business Process Management. (2009) authored by Frank Leymann. Benjamin Weder et al.: Quantum Software Development Lifecycle. (2022) authored by Frank Leymann. Christoph Fehling et al.: Cloud Computing Patterns - Fundamentals to Design, Build, and Manage Cloud Applications (2014) authored by Frank Leymann. Shaukat Ali et al.: IEEE John Vincent Atanasoff International Symposium on Modern Computing, JVA 2023, Chicago, IL, USA, July 5-6, 2023 (2023) edited by Frank Leymann. Michael Reiter et al.: On Analyzing Quality of Data Influences on Performance of Finite Elements Driven Computational Simulations. (2012) authored by Frank Leymann. Marina Bitsaki et al.: An Architecture for Managing the Lifecycle of Business Goals for Partners in a Service Network. (2008) authored by Frank Leymann. Jörg Nitzsche et al.: Defining the Behaviour of BPELlight Interaction Activities Using Message Exchange Patterns. (2008) authored by Frank Leymann. Matthias Wieland et al.: Managing Technical Processes Using Smart Workflows. (2008) authored by Frank Leymann. Steve Strauch et al.: ESBMT: Enabling Multi-Tenancy in Enterprise Service Buses. (2012) authored by Frank Leymann. Immanuel Trummer et al.: Cost-Optimal Outsourcing of Applications into the Clouds. (2010) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: A Middleware-Centric Optimization Approach for the Automated Provisioning of Services in the Cloud. (2015) authored by Frank Leymann. Daniel Martin et al.: EWFN - A Petri Net Dialect for Tuplespace-Based Workflow Enactment. (2008) authored by Frank Leymann. Ralph Mietzner et al.: Variability modeling to support customization and deployment of multi-tenant-aware Software as a Service applications. (2009) authored by Frank Leymann. Oliver Kopp et al.: BPMN4TOSCA: A Domain-Specific Language to Model Management Plans for Composite Applications. (2012) authored by Frank Leymann. Frank Leymann: BPEL vs. BPMN 2.0: Should You Care? (2010) authored by Frank Leymann. Daniel Wutke et al.: Facilitating Complex Web Service Interactions through a Tuplespace Binding. (2008) authored by Frank Leymann. Falko Koetter et al.: Unifying Compliance Management in Adaptive Environments through Variability Descriptors (Short Paper). (2013) authored by Frank Leymann. Alexander Nowak et al.: Flexible information design for business process visualizations. (2012) authored by Frank Leymann. Daniel Schleicher et al.: Compliance scopes: Extending the BPMN 2.0 meta model to specify compliance requirements. (2010) authored by Frank Leymann. Athman Bouguettaya et al.: A service computing manifesto: the next 10 years. (2017) authored by Frank Leymann. Jörg Nitzsche et al.: Composing services on the grid using BPEL4SWS. (2009) authored by Frank Leymann. Jacopo Soldani et al.: ToscaMart: A method for adapting and reusing cloud applications. (2016) authored by Frank Leymann. Vladimir Yussupov et al.: FaaSten your decisions: A classification framework and technology review of function-as-a-Service platforms. (2021) authored by Frank Leymann. Olaf Zimmermann et al.: Managing architectural decision models with dependency relations, integrity constraints, and production rules. (2009) authored by Frank Leymann. Frank Leymann and Dieter Roller: Modeling business processes with BPEL4WS. (2006) authored by Frank Leymann. Wolfgang Altenhuber and Frank Leymann: Unterstützung der Modellierung und Ausführung von Geschäftsvorgängen im LAN. (1993) authored by Frank Leymann. Frank Leymann: Objektverwaltung basierend auf Relationalen Datenbanksystemen. (1992) authored by Frank Leymann. Benjamin Weder et al.: Provenance-Preserving Analysis and Rewrite of Quantum Workflows for Hybrid Quantum Algorithms. (2023) authored by Frank Leymann. Rania Khalaf and Frank Leymann: Coordination for fragmented loops and scopes in a distributed business process. (2012) authored by Frank Leymann. Frank Leymann: Refinement of enquiries in retrieval systems based on the universal relation model. (1993) authored by Frank Leymann. Gero Decker et al.: Interacting services: From specification to execution. (2009) authored by Frank Leymann. Frank Leymann: A Survey of the Universal Relation Model. (1989) authored by Frank Leymann. Frank Leymann: UDH: A Universal Relation System. (1990) authored by Frank Leymann. Jan Mendling et al.: Blockchains for Business Process Management - Challenges and Opportunities. (2017) authored by Frank Leymann. Vladimir Yussupov et al.: On the Serverless Nature of Blockchains and Smart Contracts. (2020) authored by Frank Leymann. Tobias Binz et al.: TOSCA: Portable Automated Deployment and Management of Cloud Applications. (2014) authored by Frank Leymann. Jasmin Guth et al.: A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences. (2018) authored by Frank Leymann. Frank Leymann and Dieter Roller: Production workflow - concepts and techniques. (2000) authored by Frank Leymann. Amirali Amiri et al.: Dynamic Data Routing Decisions for Compliant Data Handling in Service-and Cloud-Based Architectures: A Performance Analysis. (2019) authored by Frank Leymann. Katharina Görlach and Frank Leymann: Dynamic Service Provisioning for the Cloud. (2012) authored by Frank Leymann. Oliver Kopp et al.: Deriving Explicit Data Links in WS-BPEL Processes. (2008) authored by Frank Leymann. Tammo van Lessen et al.: Formalising Message Exchange Patterns using BPEL Light. (2008) authored by Frank Leymann. Ralph Mietzner and Frank Leymann: Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors. (2008) authored by Frank Leymann. Karima Mokhtari et al.: Verification of Privacy Timed Properties in Web Service Protocols. (2008) authored by Frank Leymann. Evangelos Ntentos et al.: Assessing Architecture Conformance to Security-Related Practices in Infrastructure as Code Based Deployments. (2022) authored by Frank Leymann. Alexander Nowak et al.: An Architecture and Methodology for a Four-Phased Approach to Green Business Process Reengineering. (2011) authored by Frank Leymann. Frank Leymann et al.: The Role of Business Processes in Service Oriented Architectures, 16.07. - 21.07.2006 (2006) edited by Frank Leymann. Frank Leymann et al.: Software Service Engineering, 04.01. - 07.01.2009 (2009) edited by Frank Leymann. Monique Calisti et al.: Service-Oriented Architecture and (Multi-)Agent Systems Technology, 10.01. - 15.01.2010 (2010) edited by Frank Leymann. Oliver Günther et al.: Pricing Web Services. (2006) authored by Frank Leymann. Frank Leymann et al.: 06291 Abstracts Collection -- The Role of Business Processes in Service-Oriented Architectures. (2006) authored by Frank Leymann. Rakesh Agrawal et al.: Mining Process Models from Workflow Logs. (1998) authored by Frank Leymann. Vladimir Yussupov et al.: Standards-based modeling and deployment of serverless function orchestrations using BPMN and TOSCA. (2022) authored by Frank Leymann. Jan Mendling et al.: Blockchains for Business Process Management - Challenges and Opportunities. (2018) authored by Frank Leymann. Tobias Haberle et al.: The Connected Car in the Cloud: A Platform for Prototyping Telematics Services. (2015) authored by Frank Leymann. Miles Stötzner et al.: Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model. (2022) authored by Frank Leymann. Frank Leymann: Managing Business Processes via Workflow Technology. (2001) authored by Frank Leymann. Monique Calisti et al.: 10021 Abstracts Collection - Service-Oriented Architecture and (Multi-)Agent Systems Technology. (2010) authored by Frank Leymann. Monique Calisti et al.: 10021 Executive Summary - Service-Oriented Architecture and (Multi-)Agent Systems Technology. (2010) authored by Frank Leymann. Willem-Jan van den Heuvel et al.: 09021 Executive Summary - Software Service Engineering. (2009) authored by Frank Leymann. Frank Leymann et al.: 09021 Abstracts Collection - Software Service Engineering. (2009) authored by Frank Leymann. Mike P. Papazoglou et al.: 05462 Service-Oriented Computing: A Research Roadmap. (2005) authored by Frank Leymann. Michael Hahn et al.: TraDE - A Transparent Data Exchange Middleware for Service Choreographies. (2017) authored by Frank Leymann. Michael Hahn et al.: Transparent Execution of Data Transformations in Data-Aware Service Choreographies. (2018) authored by Frank Leymann. Uwe Breitenbücher et al.: Vino4TOSCA: A Visual Notation for Application Topologies Based on TOSCA. (2012) authored by Frank Leymann. Uwe Breitenbücher et al.: Integrated Cloud Application Provisioning: Interconnecting Service-Centric and Script-Centric Management Technologies. (2013) authored by Frank Leymann. Francisco Curbera et al.: CoopIS 2007 PC Co-chairs' Message. (2007) authored by Frank Leymann. Hanna Eberle et al.: Process Fragments. (2009) authored by Frank Leymann. Ghareeb Falazi et al.: Blockchain-Based Collaborative Development of Application Deployment Models. (2018) authored by Frank Leymann. Rania Khalaf et al.: Revisiting the Behavior of Fault and Compensation Handlers in WS-BPEL. (2009) authored by Frank Leymann. Oliver Kopp et al.: The Influence of an External Transaction on a BPEL Scope. (2009) authored by Frank Leymann. Frank Leymann: Workflow-Based Coordination and Cooperation in a Service World. (2006) authored by Frank Leymann. Ralph Mietzner et al.: Cafe: A Generic Configurable Customizable Composite Cloud Application Framework. (2009) authored by Frank Leymann. Ganna Monakova and Frank Leymann: Workflow ART. (2010) authored by Frank Leymann. Jörg Nitzsche et al.: BPEL for Semantic Web Services (BPEL4SWS). (2007) authored by Frank Leymann. Stefan Pottinger et al.: Coordinate BPEL Scopes and Processes by Extending the WS-Business Activity Framework. (2007) authored by Frank Leymann. Daniel Schleicher et al.: Maintaining Compliance in Customizable Process Models. (2009) authored by Frank Leymann. Daniel Schleicher et al.: Compliant Business Process Design Using Refinement Layers. (2010) authored by Frank Leymann. Marigianna Skouradaki et al.: RoSE: Reoccurring Structures Detection in BPMN 2.0 Process Model Collections. (2016) authored by Frank Leymann. Tim Waizenegger et al.: Policy4TOSCA: A Policy-Aware Cloud Service Provisioning Approach to Enable Secure Cloud Computing. (2013) authored by Frank Leymann. Johannes Wettinger et al.: Enabling DevOps Collaboration and Continuous Delivery Using Diverse Application Environments. (2015) authored by Frank Leymann. Christoph Fehling et al.: An architectural pattern language of cloud-based applications. (2011) authored by Frank Leymann. Alexander Nowak et al.: Green business process patterns. (2011) authored by Frank Leymann. Santiago Gomez Saez et al.: Design Support for Performance Aware Dynamic Application (Re-)Distribution in the Cloud. (2015) authored by Frank Leymann. Daniel Martin et al.: Tuplespace middleware for Petri net-based workflow execution. (2010) authored by Frank Leymann. Tammo van Lessen et al.: Conversational Web Services: leveraging BPELlight for expressing WSDL 2.0 message exchange patterns. (2009) authored by Frank Leymann. Tobias Unger et al.: Customer-defined service level agreements for composite applications. (2009) authored by Frank Leymann. Matthias Kloppmann et al.: Enterprise Application Integration mit Workflow Management. (2000) authored by Frank Leymann. Claes Neuefeind et al.: Lebende Systemein den Digital Humanities - das Projekt SustainLife. (2018) authored by Frank Leymann. Michael Wurster et al.: The Essential Deployment Metamodel: A Systematic Review of Deployment Automation Technologies. (2019) authored by Frank Leymann. Benjamin Weder et al.: Quantum Software Development Lifecycle. (2021) authored by Frank Leymann. Manuela Weigold et al.: Pattern Views: Concept and Tooling for Interconnected Pattern Languages. (2020) authored by Frank Leymann. Jörg Nitzsche et al.: WSMO/X in the context of business processes: improvement recommendations. (2007) authored by Frank Leymann. Ralph Retter et al.: Combining horizontal and vertical composition of services. (2012) authored by Frank Leymann. Carlos Rodríguez et al.: SOA-enabled compliance management: instrumenting, assessing, and analyzing service-based business processes. (2013) authored by Frank Leymann. Philipp Leitner et al.: Cost-based prevention of violations of service level agreements in composed services using self-adaptation. (2012) authored by Frank Leymann. Alexander Nowak et al.: The Differences and Commonalities between Green and Conventional Business Process Management. (2011) authored by Frank Leymann. Steve Strauch et al.: A Taxonomy for Cloud Data Hosting Solutions. (2011) authored by Frank Leymann. Christoph Fehling et al.: A process for pattern identification, authoring, and application. (2014) authored by Frank Leymann. Lukas Reinfurt et al.: Internet of things patterns. (2016) authored by Frank Leymann. Lukas Reinfurt et al.: Internet of Things Patterns for Device Bootstrapping and Registration. (2017) authored by Frank Leymann. David Schumm et al.: A pattern language for costumes in films. (2012) authored by Frank Leymann. Andreas Heuer et al.: Datenbanksysteme in Büro, Technik und Wissenschaft (BTW), 9. GI-Fachtagung, Oldenburg, 7.-9. März 2001, Proceedings (2001) edited by Frank Leymann. Gottfried Vossen et al.: Datenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GI-Fachbereichs \\\"Datenbanken und Informationssysteme\\\" (DBIS), Karlsruhe, 2.-4. März 2005 (2005) edited by Frank Leymann. Bernhard Mitschang et al.: Datenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme\\\" (DBIS), 6.-10. März 2017, Stuttgart, Germany, Proceedings (2017) edited by Frank Leymann. Michael Falkenthal et al.: Datenanalyse in den Digital Humanities - Eine Annäherung an Kostümmuster mittels OLAP Cubes. (2015) authored by Frank Leymann. Frank Leymann: Web Services: Distributed Applications Without Limits. (2003) authored by Frank Leymann. Frank Leymann: Supporting Business Transactions Via Partial Backward Recovery In Workflow Management Systems. (1995) authored by Frank Leymann. Albert Maier et al.: On Combining Business Process Integration and ETL Technologies. (2005) authored by Frank Leymann. Marco K. Maxeiner et al.: Data Mining von Workflow-Protokollen zur teilautomatisierten Konstruktion von Prozeßmodellen. (2001) authored by Frank Leymann. Cesare Pautasso et al.: Towards Workflow Benchmarking: Open Research Challenges. (2015) authored by Frank Leymann. Peter Reimann et al.: SIMPL - A Framework for Accessing External Data in Simulation Workflows. (2011) authored by Frank Leymann. Tobias Binz et al.: Automated Discovery and Maintenance of Enterprise Topology Graphs. (2013) authored by Frank Leymann. Tobias Binz et al.: CMotion: A framework for migration of applications into and between clouds. (2011) authored by Frank Leymann. Christoph Fehling et al.: Service Migration Patterns - Decision Support and Best Practices for the Migration of Existing Service-Based Applications to Cloud Environments. (2013) authored by Frank Leymann. Katharina Görlach et al.: Unified Execution of Service Compositions (Short Paper). (2013) authored by Frank Leymann. Michael Hahn et al.: SCE^MT: A Multi-tenant Service Composition Engine. (2014) authored by Frank Leymann. Kálmán Képes et al.: Integrating IoT Devices Based on Automatically Generated Scale-Out Plans. (2017) authored by Frank Leymann. Ralph Mietzner et al.: Combining horizontal and vertical composition of services. (2010) authored by Frank Leymann. Ralph Mietzner and Frank Leymann: A self-service portal for service-based applications. (2010) authored by Frank Leymann. Alexander Nowak and Frank Leymann: Green Business Process Patterns - Part II (Short Paper). (2013) authored by Frank Leymann. Daniel Schleicher et al.: An approach to combine data-related and control-flow-related compliance rules. (2011) authored by Frank Leymann. Steve Strauch et al.: Enabling tenant-aware administration and management for JBI environments. (2012) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: Replicability of Dynamically Provisioned Scientific Experiments. (2014) authored by Frank Leymann. Karolina Vukojevic-Haupt et al.: On-demand Provisioning of Infrastructure, Middleware and Services for Simulation Workflows. (2013) authored by Frank Leymann. Monika Weidmann et al.: Business process change management based on process model synchronization of multiple abstraction levels. (2011) authored by Frank Leymann. Michael Wurster et al.: Modeling and Automated Deployment of Serverless Applications Using TOSCA. (2018) authored by Frank Leymann. Johannes Wettinger et al.: Streamlining DevOps automation for Cloud applications using TOSCA as standardized metamodel. (2016) authored by Frank Leymann. Steve Strauch et al.: ESB^MT: A Multi-tenant Aware Enterprise Service Bus. (2013) authored by Frank Leymann. Frank Leymann: Web-Services - Kurz erklärt. (2003) authored by Frank Leymann. Kai-Uwe Sattler and Frank Leymann: Information Integration und Semantic Web. (2003) authored by Frank Leymann. Rania Khalaf et al.: Business processes for Web Services: Principles and applications. (2006) authored by Frank Leymann. Matthias Kloppmann et al.: Business process choreography in WebSphere: Combining the power of BPEL and J2EE. (2004) authored by Frank Leymann. Frank Leymann and Wolfgang Altenhuber: Managing Business Processes an an Information Resource. (1994) authored by Frank Leymann. Frank Leymann and Dieter Roller: Using flows in information integration. (2002) authored by Frank Leymann. Frank Leymann and Dieter Roller: Workflow-Based Applications. (1997) authored by Frank Leymann. Frank Leymann et al.: Web services and business process management. (2002) authored by Frank Leymann. Marina Bitsaki et al.: ChronicOnline: Implementing a mHealth solution for monitoring and early alerting in chronic obstructive pulmonary disease. (2017) authored by Frank Leymann. David L. Martin et al.: Semantic Web Services, Part 1. (2007) authored by Frank Leymann. Oliver Kopp and Frank Leymann: Choreography Design Using WS-BPEL. (2008) authored by Frank Leymann. Alexander Bergmayr et al.: A Systematic Review of Cloud Modeling Languages. (2018) authored by Frank Leymann. Felix Gemeinhardt et al.: Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study. (2024) authored by Frank Leymann. Olha Danylevych et al.: Service Networks Modelling: An SOA & BPM Standpoint. (2010) authored by Frank Leymann. Johanna Barzen et al.: The vision for MUSE4Music. (2017) authored by Frank Leymann. Ghareeb Falazi et al.: Modeling and execution of blockchain-aware business processes. (2019) authored by Frank Leymann. Florian Haupt et al.: API governance support through the structural analysis of REST APIs. (2018) authored by Frank Leymann. Karoline Saatkamp et al.: An approach to automatically detect problems in restructured deployment models based on formalizing architecture and design patterns. (2019) authored by Frank Leymann. Johannes Wettinger et al.: Collaborative gathering and continuous delivery of DevOps solutions through repositories. (2017) authored by Frank Leymann. Lukas Reinfurt et al.: Internet of Things Patterns for Communication and Management. (2019) authored by Frank Leymann. Lukas Harzenetter et al.: An Integrated Management System for Composed Applications Deployed by Different Deployment Automation Technologies. (2023) authored by Frank Leymann. Donald Kossmann and Frank Leymann: Web Services. (2004) authored by Frank Leymann. Donald Kossmann et al.: Editorial (Web Services). (2004) authored by Frank Leymann. Tobias Binz et al.: Portable Cloud Services Using TOSCA. (2012) authored by Frank Leymann. Christoph Fehling et al.: Your Coffee Shop Uses Cloud Computing. (2014) authored by Frank Leymann. Johannes Wettinger et al.: Streamlining Cloud Management Automation by Unifying the Invocation of Scripts and Services Based on TOSCA. (2014) authored by Frank Leymann. Mike P. Papazoglou et al.: Service-Oriented Computing: State of the Art and Research Challenges. (2007) authored by Frank Leymann. Ghareeb Falazi et al.: Transactional Properties of Permissioned Blockchains. (2019) authored by Frank Leymann{'author_wikipedia_text': \\\"Michael C. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference. He has also studied the role of language in numerical cognition by comparing the performance of native Pirahã language speakers to that of MIT undergraduate students in numeric tasks. For this work, he traveled to Amazonas, Brazil with Daniel Everett, a linguist best known for his claim that Pirahã disproves a crucial component of Noam Chomsky's theory of universal grammar, recursion. Frank won the Cognitive Science Society's prestigious Marr Award for this work in 2008.\\\"}\",\n \"verbalizer_on_all_triples\": \"Frank Leymann's written paper amount in year 2012 is 31.\\nFrank Leymann's written paper amount in year 2013 is 43.\\nFrank Leymann's written paper amount in year 2014 is 50.\\nFrank Leymann's written paper amount in year 2015 is 31.\\nFrank Leymann's written paper amount in year 2016 is 39.\\nFrank Leymann's written paper amount in year 2017 is 30.\\nFrank Leymann's written paper amount in year 2018 is 16,000.\\nFrank Leymann's written paper amount in year 2019 is 39.\\nFrank Leymann's written paper amount in year 2020 is 36.\\nFrank Leymann's written paper amount in year 2021 is 28.\\nFrank Leymann's written paper amount in year 2022 is 21.\\nFrank Leymann's written paper amount in year2023 is 19,000.\\nFrank Leymann's 2YrMeanCitedness is 2.234375.\\nFrank Leymann is affiliated with the University of Stuttgart, Germany.\\nFrank Leymann is the alternative name for Frank Leymann who is also known as Frank Leymann. Leymann Frank is also known as Frank Leymann.\\n\\\"Daniel Wutke et al.: Model and infrastructure for decentralized workflow enactment. (2008), Rakesh Agrawal et al.: Mining Process Models from Workflow Logs. (1998), Jan Mendling et al.: Blockchains for Business Process Management - Challenges and Opportunities. (2018), Steve Strauch et al.: Transparent Access to Relational Databases in the Cloud using a Multi-tenant ESB. (2014), Frank Le\\nFrank Leymann has cited ByCount 14917.\\n\\\"Ivan I. Ivanov et al.: Cloud Computing and Services Science - Second International Conference, CLOSER 2012, Porto, Portugal, April 18-21, 2012. Revised Selected Papers (2013), Karl M. Göschka et al.: Proceedings of the 2nd Workshop on Middleware for Service Oriented Computing, MW4SOC 2007, Newport Beach, CA, USA, November 26-30, 2007 (2007), Markus Helfert et al.: CLOSER 2014 -\\nFrank Leymann has an h-index of 53.\\nFrank Leymann's i10Index is 262.\\nFrank Leymann is the creator and the author of Frank Leymann.\\nFrank Leymann's link is \\\"https://en.wikipedia.org/wiki/Frank_Leymann, http://www.wikidata.org/entity/Q57312419, https://dl.acm.org/profile/81100279802, https://www.researcherid.com/rid/I-2070-2016, https://www.scopus.com/authid/detail.uri?authorId=6603379902, https://sch\\nFrank Leymann is a member of the University of Stuttgart.\\nFrank Leymann was modified on 2023-10-18.\\nFrank Leymann's name is Frank Leymann.\\nFrank Leymann's orcidId is https://orcid.org/0000-0002-9123-259X.\\nFrank Leymann's primary affiliation is the University of Stuttgart, Germany.\\nFrank Leymann is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=6603379902&partnerID=MN8TOARS.\\nFrank Leymann has 703 works.{'author_wikipedia_text': \\\"Michael C. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference. He has also studied the role of language in numerical cognition by comparing the performance of native Pirahã language speakers to that of MIT undergraduate students in numeric tasks. For this work, he traveled to Amazonas, Brazil with Daniel Everett, a linguist best known for his claim that Pirahã disproves a crucial component of Noam Chomsky's theory of universal grammar, recursion. Frank won the Cognitive Science Society's prestigious Marr Award for this work in 2008.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"Frank Leymann is affiliated with the University of Stuttgart, Germany.\\n\\\"Jessica Thomsen et al.: Darstellung des Konzeptes - DMA Decentralised Market Agent - zur Bewältigung zukünftiger Herausforderungen in Verteilnetzen. (2015), Frank Leymann: Objektverwaltung basierend auf Relationalen Datenbanksystemen. (1992), Oliver Kopp et al.: External and Internal Events in EPCs: e2EPCs. (2009), Johanna Barzen et al.: <unk>\\nFrank Leymann has cited ByCount 14917.\\nAndreas Heuer et al.: Datenbanksysteme in Büro, Technik und Wissenschaft (BTW), 9. GI-Fachtagung, Oldenburg, 7.-9. März 2001, Proceedings (2001) edited by Frank Leymann.\\nFrank Leymann is the Author.\\nFrank Leymann's link is https://www.scopus.com/authid/detail.uri?authorId=6603379902 and https://scholar.google.com/citations?user=qRnegTsAAAAJ. He is also linked to http://zbmath.org/authors/?q=ai:leymann.frank and http://www.iaas.uni-stuttgart.de\\nFrank Leymann is a member of the University of Stuttgart.\\nFrank Leymann's primary affiliation is the University of Stuttgart, Germany.\\nFrank Leymann is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=6603379902&partnerID=MN8TOARS. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference. {'author_wikipedia_text': \\\"Michael C\"\n}"}}},{"rowIdx":68,"cells":{"id":{"kind":"string","value":"a5b1680e-bce4-422b-b5f9-8c210f7033c8"},"triples_number":{"kind":"number","value":414,"string":"414"},"question":{"kind":"string","value":"How many works does the contributor who worked with Natasha F. Noy on the piece titled Software Design for Empowering Scientists, have?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"6.0882353782653808594\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"University of Manchester, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Carole A. 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(2009) authored by Carole A. Goble. Natasha F. Noy and Carole A. Goble: Are We Cobblers without Shoes?: Making Computer Science Data FAIR. (2023) authored by Carole A. Goble. Carole A. Goble: Better Software, Better Research. (2014) authored by Carole A. Goble. Carole A. Goble: Results May Vary: Reproducibility, Open Science and All That Jazz. (2013) authored by Carole A. Goble. Carole A. Goble et al.: Research Object Community Update. (2018) authored by Carole A. Goble. Carole Anne Goble and David Charles De Roure: myExperiment: social networking for workflow-using e-scientists. (2007) authored by Carole A. Goble. Yolanda Gil et al.: Examining the Challenges of Scientific Workflows. (2007) authored by Carole A. Goble. Bertram Ludäscher and Carole A. Goble: Guest editors' introduction to the special section on scientific workflows. (2005) authored by Carole A. Goble. Carole A. Goble: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Carole A. Goble et al.: The EOSC-Life Workflow Collaboratory for the Life Sciences. (2023) authored by Carole A. Goble. Simon Harper et al.: Editorial. (2006) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit: Bringing the Scientific Workflows Community Together. (2021) authored by Carole A. Goble. Carole A. Goble et al.: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2014) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2012) authored by Carole A. Goble. Carole A. Goble link https://zbmath.org/authors/?q=ai:goble.carole. Bernard Horan et al.: Supporting a humanly impossible task: The clinical human computer environment. (1990) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Towards FAIR principles for research software. (2020) authored by Carole A. Goble. Carole A. Goble: Image Database Prototypes. (1997) authored by Carole A. Goble. Konstantinos Karasavvas et al.: Opening new gateways to workflows for life scientists. (2012) authored by Carole A. Goble. Carole A. Goble et al.: Help me describe my data: A demonstration of the Open PHACTS VoID Editor. (2014) authored by Carole A. Goble. Carole A. Goble link https://scholar.google.com/citations?user=2G4kqPYAAAAJ. Stephen Crouch et al.: The Software Sustainability Institute: Changing Research Software Attitudes and Practices. (2013) authored by Carole A. Goble. Carole A. Goble is Creator. Carole A. Goble and David De Roure: The impact of workflow tools on data-centric research. (2009) authored by Carole A. Goble. Daniel S. Katz et al.: A Fresh Look at FAIR for Research Software. (2021) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Perspectives on automated composition of workflows in the life sciences. (2021) authored by Carole A. Goble. David De Roure and Carole A. Goble: Re-Evaluating The Grid: The Social Life of Programs. (2007) authored by Carole A. Goble. Paolo Missier et al.: Taverna, Reloaded. (2010) authored by Carole A. Goble. Carole Goble worksCount 626. Carole A. Goble: The swings and roundabouts of a decade of fun and games with Research Objects. (2020) authored by Carole A. Goble. Jun Zhao et al.: eScience. (2011) authored by Carole A. Goble. David De Roure et al.: Towards the Preservation of Scientific Workflows. (2011) authored by Carole A. Goble. David Haw et al.: GUIDANCE: Making it Easy for the USer to be an Expert. (1994) authored by Carole A. Goble. Carole A. Goble et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2016) authored by Carole A. Goble. Shoaib Sufi et al.: Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop. (2014) authored by Carole A. Goble. Alice Allen et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2017) authored by Carole A. Goble. Carole A. Goble: Multimedia Information Systems: the confluence of technologies and disciplines. (1994) authored by Carole A. Goble. Khalid Belhajjame et al.: Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. (2012) authored by Carole A. Goble She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna. {'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester\",\n \"plain\": \"Carole Goble is Author. Carole Goble modified 2023-10-18. Carole Goble citedByCount 24721. Carole Goble written paper amount in year2012: 22. Carole Goble written paper amount in year2012: 22. Carole Goble written paper amount in year2013: 25. Carole Goble written paper amount in year2013: 25. Carole Goble written paper amount in year2014: 28. Carole Goble written paper amount in year2014: 28. Carole Goble written paper amount in year2015: 20. Carole Goble written paper amount in year2015: 20. Carole Goble written paper amount in year2016: 20. Carole Goble written paper amount in year2016: 20. Carole Goble written paper amount in year2017: 17. Carole Goble written paper amount in year2017: 17. Carole Goble written paper amount in year2018: 9. Carole Goble written paper amount in year2018: 9. Carole Goble written paper amount in year2019: 11. Carole Goble written paper amount in year2019: 11. Carole Goble written paper amount in year2020: 16. Carole Goble written paper amount in year2020: 16. Carole Goble written paper amount in year2021: 18. Carole Goble written paper amount in year2021: 18. Carole Goble written paper amount in year2022: 14. Carole Goble written paper amount in year2022: 14. Carole Goble written paper amount in year2023: 20. Carole Goble written paper amount in year2023: 20. Carole Goble worksCount 626. Carole Goble name Carole Goble. Carole Goble member of University of Manchester. Carole Goble h-index 66. Carole Goble 2YrMeanCitedness 6.0882353782653808594. Carole Goble alternativeName C. A. Goble. Carole Goble alternativeName C. Goble. Carole Goble alternativeName Carol Goble. Carole Goble alternativeName Carole A. Goble. Carole Goble alternativeName Carole Anne Goble. Carole Goble alternativeName Carole Goble. Carole Goble alternativeName Goble. Carole Goble alternativeName Goble Carole. Carole Goble i10Index 227. Carole Goble orcidId https://orcid.org/0000-0003-1219-2137. Carole Goble scopus http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS. Carole A. Goble is Creator. Carole A. Goble is Person. Carole A. Goble link http://www.wikidata.org/entity/Q11604. Carole A. Goble affiliation University of Manchester, UK. Carole A. Goble link http://www.cs.man.ac.uk/~carole/. Carole A. Goble primary affiliation University of Manchester, UK. Carole A. Goble link http://www.cs.man.ac.uk/~carole/. Carole A. Goble link https://zbmath.org/authors/?q=ai:goble.carole. Carole A. Goble link https://twitter.com/caroleannegoble. Carole A. Goble link https://dl.acm.org/profile/81332500838. Carole A. Goble link https://www.scopus.com/authid/detail.uri?authorId=7004072716. Carole A. Goble link https://scholar.google.com/citations?user=2G4kqPYAAAAJ. Carole A. Goble link https://en.wikipedia.org/wiki/Carole_Goble. Carole A. Goble et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2016) authored by Carole A. Goble. Simon Harper et al.: proXimity: Ad-Hoc Networks for Enhanced Mobility. (2004) authored by Carole A. Goble. Antoon Goderis et al.: Composing Different Models of Computation in Kepler and Ptolemy II. (2007) authored by Carole A. Goble. Jun Zhao et al.: A Checklist-Based Approach for Quality Assessment of Scientific Information. (2013) authored by Carole A. Goble. Jun Zhao et al.: RO-Manager: A Tool for Creating and Manipulating Research Objects to Support Reproducibility and Reuse in Sciences. (2012) authored by Carole A. Goble. Liming Chen et al.: Towards a Knowledge-Based Approach to Semantic Service Composition. (2003) authored by Carole A. Goble. Carole A. Goble: Using the Semantic Web for e-Science: Inspiration, Incubation, Irritation. (2005) authored by Carole A. Goble. Carole A. Goble: Results May Vary: Reproducibility, Open Science and All That Jazz. (2013) authored by Carole A. Goble. Carole A. Goble et al.: Conceptual Open Hypermedia = The Semantic Web? (2001) authored by Carole A. Goble. Carole A. Goble et al.: Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery. (2013) authored by Carole A. Goble. Carole A. Goble et al.: Help me describe my data: A demonstration of the Open PHACTS VoID Editor. (2014) authored by Carole A. Goble. Alasdair J. G. Gray et al.: Bioschemas: From Potato Salad to Protein Annotation. (2017) authored by Carole A. Goble. Phillip W. Lord et al.: Applying Semantic Web Services to Bioinformatics: Experiences Gained, Lessons Learnt. (2004) authored by Carole A. Goble. Katherine Wolstencroft et al.: Semantic Data and Models Sharing in Systems Biology: The Just Enough Results Model and the SEEK Platform. (2013) authored by Carole A. Goble. Jun Zhao et al.: Using Semantic Web Technologies for Representing E-science Provenance. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: OilEd: A Reason-able Ontology Editor for the Semantic Web. (2001) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Classification Based Navigation and Retrieval. (1999) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Towards Annotation Using DAML+OIL. (2001) authored by Carole A. Goble. Carole A. Goble et al.: ODESGS framework, knowledge-based markup for semantic grid services. (2005) authored by Carole A. Goble. Kristian Garza et al.: Framing the community data system interface. (2015) authored by Carole A. Goble. Kevin L. Garwood et al.: Pedro Ontology Services: A Framework for Rapid Ontology Markup. (2005) authored by Carole A. Goble. Phillip W. Lord et al.: Feta: A Light-Weight Architecture for User Oriented Semantic Service Discovery. (2005) authored by Carole A. Goble. Simon J. Cox et al.: Grid Services in Action: Grid Enabled Optimisation and Design Search. (2002) authored by Carole A. Goble. Pinar Alper et al.: LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance. (2014) authored by Carole A. Goble. Ilkay Altintas et al.: Understanding Collaborative Studies through Interoperable Workflow Provenance. (2010) authored by Carole A. Goble. Khalid Belhajjame et al.: Detecting Duplicate Records in Scientific Workflow Results. (2012) authored by Carole A. Goble. Paolo Missier et al.: Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements. (2008) authored by Carole A. Goble. Paolo Missier et al.: Janus: From Workflows to Semantic Provenance and Linked Open Data. (2010) authored by Carole A. Goble. Rudolf Wittner et al.: ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data. (2021) authored by Carole A. Goble. Jun Zhao et al.: An Identity Crisis in the Life Sciences. (2006) authored by Carole A. Goble. Les Carr et al.: Proceedings of the 15th international conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, May 23-26, 2006 (2006) edited by Carole A. Goble. Les Carr et al.: Conceptual linking: ontology-based open hypermedia. (2001) authored by Carole A. Goble. Mokrane Bouzeghoub et al.: Semantics for Grid Databases, First International IFIP Conference on Semantics of a Networked World: ICSNW 2004, Paris, France, June 17-19, 2004. Revised Selected Papers (2004) edited by Carole A. Goble. Jun Zhao et al.: Semantically Linking and Browsing Provenance Logs for E-science. (2004) authored by Carole A. Goble. Yeliz Yesilada et al.: Screen Readers Cannot See: Ontology Based Semantic Annotation for Visually Impaired Web Travellers. (2004) authored by Carole A. Goble. Jun Zhao et al.: eScience. (2011) authored by Carole A. Goble. Richard Cooper et al.: Conceptual Modelling for Database User Interfaces. (2000) authored by Carole A. Goble. Tony Griffiths et al.: Exploiting Model-based Techniques for User Interfaces to Databases. (1998) authored by Carole A. Goble. Norman Murray et al.: Kaleidoscape: A 3D Environment for Querying ODMG Compliant Databases. (1998) authored by Carole A. Goble. Gary Ng et al.: Visualizing Complex Schemas in Description Logic Using Movable Lens Filters. (1998) authored by Carole A. Goble. S. Kay et al.: What Should We Mean by 'An Electronic Medical Record'? (1991) authored by Carole A. Goble. Yeliz Yesilada et al.: Rendering tables in audio: the interaction of structure and reading styles. (2004) authored by Carole A. Goble. Simon Harper et al.: Towel: Real World Mobility on the Web. (1999) authored by Carole A. Goble. Tony Griffiths et al.: An Open-Model-Based Interface Development System: The Teallach Approach. (1998) authored by Carole A. Goble. J. C. Bullock and Carole A. Goble: TourisT: The Application of a Description Logic Based Semantic Hypermedia System for Tourism. (1998) authored by Carole A. Goble. Sean Bechhofer et al.: Supporting Public Browsing of an Art Gallery Collections Database. (2000) authored by Carole A. Goble. Carole A. Goble et al.: A Medical Terminology Server. (1994) authored by Carole A. Goble. Fouzia Moussouni et al.: Database Challenges for Genome Information in the Post Sequencing Phase. (1999) authored by Carole A. Goble. John Brooke et al.: Semantic Matching of Grid Resource Descriptions. (2004) authored by Carole A. Goble. Robert Stevens et al.: Building a Reason-able Bioinformatics Ontology Using OIL. (2001) authored by Carole A. Goble. Carole A. Goble: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Carole A. Goble et al.: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Ning Zhang et al.: Towards an Authentication Middleware to Support Ubiquitous Web Access. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: The Semantics of Semantic Annotation. (2002) authored by Carole A. Goble. Carole A. Goble: The Grid Needs You! Enlist Now. (2003) authored by Carole A. Goble. Feng Tao et al.: Semantic Web Based Content Enrichment and Knowledge Reuse in E-science. (2004) authored by Carole A. Goble. Pinar Alper et al.: Automatic Versus Manual Provenance Abstractions: Mind the Gap. (2016) authored by Carole A. Goble. Matthew Gamble and Carole A. Goble: Influence Factor: Extending the PROV Model With a Quantitative Measure of Influence. (2014) authored by Carole A. Goble. Liming Chen et al.: Engineering Knowledge for Engineering Grid Applications. (2002) authored by Carole A. Goble. Robert Mark Greenwood et al.: Position Paper: Are Bioinformaticians doing e-Business? (2002) authored by Carole A. Goble. Carole A. Goble and John A. Keane: Advances in Databases, 13th British National Conference on Databases, BNCOD 13, Manchester, United Kingdom, July 12-14, 1995, Proceedings (1995) edited by Carole A. Goble. Carole A. Goble and Andrzej J. Glowinski: Semantic Constraints in a Medical Information System. (1993) authored by Carole A. Goble. David Haw et al.: The Pragmatics of Naive Database Enquiry. (1995) authored by Carole A. Goble. Paul Groth et al.: Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigations and Experiments (LISC2013) In conjunction with the 12th International Semantic Web Conference 2013 (ISWC 2013), Sydney, Australia, October 21, 2013. (2014) edited by Carole A. Goble. Peter Mika et al.: The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I (2014) edited by Carole A. Goble. Peter Mika et al.: The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part II (2014) edited by Carole A. Goble. Sean Bechhofer et al.: DAML+OIL is not Enough. (2001) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Scientific Lenses over Linked Data: An Approach to Support Task Specific Views of the Data. A Vision. (2012) authored by Carole A. Goble. Bin Cao et al.: Semantically Annotated Provenance in the Life Science Grid. (2009) authored by Carole A. Goble. Paolo Missier et al.: Functional Units: Abstractions for Web Service Annotations. (2010) authored by Carole A. Goble. Patricia G. Baker et al.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. (1998) authored by Carole A. Goble. Robert D. Stevens et al.: myGrid: personalised bioinformatics on the information grid. (2003) authored by Carole A. Goble. Robert D. Stevens et al.: Exploring Williams-Beuren syndrome using myGrid. (2004) authored by Carole A. Goble. Tony Griffiths et al.: Task Modelling for Database Interface Development. (1999) authored by Carole A. Goble. Simon Harper et al.: Sentinel: Universal Access to Ambient Devices. (2003) authored by Carole A. Goble. David Haw et al.: GUIDANCE: Making it Easy for the USer to be an Expert. (1994) authored by Carole A. Goble. Sean Bechhofer et al.: Guiding the User: An Ontology Driven Interface. (1999) authored by Carole A. Goble. Tony Griffiths et al.: Teallach: A Model-Based User Interface Development Environment for Object Databases. (1999) authored by Carole A. Goble. Bernard Horan et al.: Supporting a humanly impossible task: The clinical human computer environment. (1990) authored by Carole A. Goble. Kyle Chard et al.: I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. (2016) authored by Carole A. Goble. Pinar Alper et al.: On assisting scientific data curation in collection-based dataflows using labels. (2013) authored by Carole A. Goble. Ian Horrocks et al.: A Description Logic Based Schema for the Classification of Medical Data. (1996) authored by Carole A. Goble. Martin Peim et al.: Querying Objects with Description Logics. (2002) authored by Carole A. Goble. Carole A. Goble: The swings and roundabouts of a decade of fun and games with Research Objects. (2020) authored by Carole A. Goble. David De Roure et al.: Towards the Preservation of Scientific Workflows. (2011) authored by Carole A. Goble. Ketan Maheshwari et al.: Medical image processing workflow support on the EGEE grid with taverna. (2009) authored by Carole A. Goble. Katy Wolstencroft et al.: RightField: Scientific Knowledge Acquisition by Stealth through Ontology-Enabled Spreadsheets. (2012) authored by Carole A. Goble. Pinar Alper et al.: Small Is Beautiful: Summarizing Scientific Workflows Using Semantic Annotations. (2013) authored by Carole A. Goble. Carole A. Goble et al.: ODEGSG Framework, Knowledge-Based Annotation and Design of Grid Services. (2005) authored by Carole A. Goble. Colin R. Batchelor et al.: Scientific Lenses to Support Multiple Views over Linked Chemistry Data. (2014) authored by Carole A. Goble. Khalid Belhajjame et al.: Automatic Annotation of Web Services Based on Workflow Definitions. (2006) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Including Co-referent URIs in a SPARQL Query. (2013) authored by Carole A. Goble. Antoon Goderis et al.: Seven Bottlenecks to Workflow Reuse and Repurposing. (2005) authored by Carole A. Goble. Katy Wolstencroft et al.: Rightfield: Embedding Ontology Term Selection into Spreadsheets for the Annotation of Biological Data. (2010) authored by Carole A. Goble. Matthew Gamble and Carole A. Goble: Quality, trust, and utility of scientific data on the web: towards a joint model. (2011) authored by Carole A. Goble. Shoaib Sufi et al.: Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop. (2014) authored by Carole A. Goble. Carole A. Goble et al.: 2012 IEEE 19th International Conference on Web Services, Honolulu, HI, USA, June 24-29, 2012 (2012) edited by Carole A. Goble. Antoon Goderis et al.: Workflow discovery: the problem, a case study from e-Science and a graph-based solution. (2006) authored by Carole A. Goble. Wei Tan et al.: Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach. (2009) authored by Carole A. Goble. Giuseppe Pirrò et al.: Combining DHTs and SONs for Semantic-Based Service Discovery. (2009) authored by Carole A. Goble. Ning Zhang et al.: Plugging a Scalable Authentication Framework into Shibboleth. (2005) authored by Carole A. Goble. Steve Pettifer et al.: myGrid and UTOPIA: An Integrated Approach to Enacting and Visualising in Silico Experiments in the Life Sciences. (2007) authored by Carole A. Goble. Carole A. Goble et al.: A Descriptive Semantic Formalism for Medicine. (1993) authored by Carole A. Goble. Simon Harper et al.: Traversing the Web: Mobility Heuristics for Visually Impaired Surfers. (2003) authored by Carole A. Goble. York Sure-Vetter and Carole A. Goble: 1st Conference on Research Data Infrastructure - Connecting Communities, CoRDI 2023, Karlsruhe, Germany, September 12-14, 2023 (2023) edited by Carole A. Goble. Nazeefa Fatima et al.: RDMkit: The Research Data Management Toolkit for Life Sciences. (2023) authored by Carole A. Goble. Carole A. Goble et al.: The EOSC-Life Workflow Collaboratory for the Life Sciences. (2023) authored by Carole A. Goble. David De Roure and Carole A. Goble: Supporting e-Science Using Semantic Web Technologies - The Semantic Grid. (2010) authored by Carole A. Goble. Carole A. Goble et al.: Working Notes of the 2001 International Description Logics Workshop (DL-2001), Stanford, CA, USA, August 1-3, 2001 (2001) edited by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Using a DL to Drive Query Interfaces. (1997) authored by Carole A. Goble. Sean Bechhofer et al.: OilEd: a Reason-able Ontology Editor for the Semantic Web. (2001) authored by Carole A. Goble. Carole A. Goble: What have the Romans (and Germans) ever done for us? or There are real applications for Description Logics some of which even take advantage of their reasoning services. (2000) authored by Carole A. Goble. Antoon Goderis et al.: Applying Description Logics for Workflow Reuse and Repurposing. (2005) authored by Carole A. Goble. Gary Ng et al.: Inspecting Concepts Graphically with Zoomable Lenses. (1997) authored by Carole A. Goble. Martin Peim et al.: Querying Objects with Description Logics. (2002) authored by Carole A. Goble. Mike Cornell et al.: GIMS - A Data Warehouse for Storage and Analysis of Genome Sequence and Functional Data. (2001) authored by Carole A. Goble. Phillip W. Lord et al.: PRECIS: An Automated Pipeline for Producing Concise Reports About Proteins. (2001) authored by Carole A. Goble. Óscar Corcho et al.: Grid metadata management: Requirements and architecture. (2007) authored by Carole A. Goble. Carole A. Goble and David De Roure: Grid 3.0: Services, semantics and society. (2007) authored by Carole A. Goble. Wei Xing et al.: An ActOn-based semantic information service for EGEE. (2007) authored by Carole A. Goble. Alasdair J. G. Gray et al.: The Pharmacology Workspace: A Platform for Drug Discovery. (2012) authored by Carole A. Goble. Olga Krebs et al.: FAIRDOM approach for semantic interoperability of systems biology data and models. (2015) authored by Carole A. Goble. Martin Peim et al.: Query Processing with Description Logic Ontologies over Object-Wrapped Databases. (2002) authored by Carole A. Goble. Phillip W. Lord et al.: Semantic Similarity Measures as Tools for Exploring the Gene Ontology. (2003) authored by Carole A. Goble. Chris Wroe et al.: A Methodology to Migrate the Gene Ontology to a Description Logic Environment Using DAML+OIL. (2003) authored by Carole A. Goble. Sarah Cohen Boulakia et al.: Distilling structure in Taverna scientific workflows: a refactoring approach. (2014) authored by Carole A. Goble. David De Roure et al.: Towards open science: the myExperiment approach. (2010) authored by Carole A. Goble. Yogesh Simmhan et al.: Cloud computing for data-driven science and engineering. (2016) authored by Carole A. Goble. Katherine Wolstencroft et al.: Stealthy annotation of experimental biology by spreadsheets. (2013) authored by Carole A. Goble. Norman Murray et al.: A Framework for Describing Visual Interfaces to Databases. (1998) authored by Carole A. Goble. Norman Murray et al.: Kaleidoquery-A Flow-based Visual Language and its Evaluation. (2000) authored by Carole A. Goble. Robert Stevens et al.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. (2000) authored by Carole A. Goble. Niall Beard et al.: TeSS: a platform for discovering life-science training opportunities. (2020) authored by Carole A. Goble. Tim Clark et al.: Micropublications: a Semantic Model for Claims, Evidence, Arguments and Annotations in Biomedical Communications (2013) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: Provenance, Authoring and Versioning (2013) authored by Carole A. Goble. Eoghan Ó Carragáin et al.: RO-Crate, a lightweight approach to Research Object data packaging. (2019) authored by Carole A. Goble. Carole A. Goble et al.: Research Object Community Update. (2018) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Capturing interoperable reproducible workflows with Common Workflow Language. (2018) authored by Carole A. Goble. Simon Harper et al.: Middleware to expand context and preview in hypertext. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: Knowledge-Driven Hyperlinks: Linking in the Wild. (2006) authored by Carole A. Goble. Óscar Corcho et al.: Metadata Management in S-OGSA. (2007) authored by Carole A. Goble. Konstantinos Karasavvas et al.: Opening new gateways to workflows for life scientists. (2012) authored by Carole A. Goble. Joel H. Saltz et al.: A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. (2008) authored by Carole A. Goble. Ning Zhang et al.: A Linkable Identity Privacy Algorithm for HealthGrid. (2005) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: A Killer App for AI? (2002) authored by Carole A. Goble. Anna M. Manning et al.: Clustering Techniques in Biological Sequence Analysis. (1997) authored by Carole A. Goble. J. C. Bullock and Carole A. Goble: TourisT - Conceptual Hypermedia Tourist Information. (1997) authored by Carole A. Goble. Carole A. Goble: The return of the prodigal web: 1. (2007) authored by Carole A. Goble. Carole A. Goble et al.: The travails of visually impaired web travellers. (2000) authored by Carole A. Goble. Simon Harper et al.: Prototype mobility tools for visually impaired surfers. (2001) authored by Carole A. Goble. Simon Harper et al.: How much is too much in a hypertext link?: investigating context and preview - a formative evaluation. (2004) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Computing Identity Co-Reference Across Drug Discovery Datasets. (2013) authored by Carole A. Goble. Ian Dunlop et al.: OpenPHACTS Explorer 2: Bringing the Web to the Semantic Web. (2013) authored by Carole A. Goble. Kristina M. Hettne et al.: Best Practices for Workflow Design: How to Prevent Workflow Decay. (2012) authored by Carole A. Goble. Fuqi Xu et al.: Features of a FAIR Vocabulary. (2022) authored by Carole A. Goble. Carole A. Goble et al.: e-Science and the Semantic Web: A Symbiotic Relationship. (2006) authored by Carole A. Goble. Carole Anne Goble and David Charles De Roure: myExperiment: social networking for workflow-using e-scientists. (2007) authored by Carole A. Goble. Simon Harper et al.: Towel: Experiences of Augmenting the Web with Journey Knowledge. (2003) authored by Carole A. Goble. Ling Liu et al.: Querying the past, present and future: where we are and where we will be. (2005) authored by Carole A. Goble. Peter Plessers et al.: Accessibility: a Web engineering approach. (2005) authored by Carole A. Goble. Yeliz Yesilada et al.: DANTE: annotation and transformation of web pages for visually impaired users. (2004) authored by Carole A. Goble. Yeliz Yesilada et al.: A foundation for tool based mobility support for visually impaired web users. (2003) authored by Carole A. Goble. Jun Zhao et al.: Semantic web applications to e-science in silico experiments. (2004) authored by Carole A. Goble. David De Roure et al.: Scientific Social Objects: The Social Objects and Multidimensional Network of the myExperiment Website. (2011) authored by Carole A. Goble. Sonja Holl et al.: On specifying and sharing scientific workflow optimization results using research objects. (2013) authored by Carole A. Goble. Khalid Belhajjame et al.: Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. (2012) authored by Carole A. Goble. Ioannis Kotsiopoulos et al.: Architectural Patterns for the Semantic Grid. (2005) authored by Carole A. Goble. David De Roure and Carole A. Goble: Re-Evaluating The Grid: The Social Life of Programs. (2007) authored by Carole A. Goble. Wei Xing et al.: Information Quality Evaluation for Grid Information Services. (2007) authored by Carole A. Goble. Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, New York, NY, USA, 17-22 May 2004 (2004) edited by Carole A. Goble. Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, Chiba, Japan, May 10-14, 2005 (2005) edited by Carole A. Goble. Simon Harper et al.: Proceedings of the 2006 International Cross-Disciplinary Workshop on Web Accessibility (W4A 2006): Building the mobile web: rediscovering accessibility? Edinburgh, UK, May 22, 2006 (2006) edited by Carole A. Goble. Norman Murray et al.: Kaleidoquery: a visual query language for object databases. (1998) authored by Carole A. Goble. Aleksandra Nenadic et al.: Certified E-Mail Delivery with DSA Receipts. (2005) authored by Carole A. Goble. Carole A. Goble et al.: e-Science and the Semantic Web: A Symbiotic Relationship. (2006) authored by Carole A. Goble. Khalid Belhajjame et al.: Metadata Management in the Taverna Workflow System. (2008) authored by Carole A. Goble. Luc Moreau et al.: On the Use of Agents in BioInformatics Grid. (2003) authored by Carole A. Goble. Giuseppe Pirrò et al.: ERGOT: A Semantic-Based System for Service Discovery in Distributed Infrastructures. (2010) authored by Carole A. Goble. Thomas M. Oinn et al.: Delivering web service coordination capability to users. (2004) authored by Carole A. Goble. Marta Sabou et al.: Learning domain ontologies for Web service descriptions: an experiment in bioinformatics. (2005) authored by Carole A. Goble. Olga Krebs et al.: FAIRDOM approach for semantic interoperability of systems biology data and models. (2016) authored by Carole A. Goble. Alice Allen et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2017) authored by Carole A. Goble. Andrew Gibson et al.: The data playground: An intuitive workflow specification environment. (2009) authored by Carole A. Goble. Wei Xing et al.: An ActOn-based semantic information service for Grids. (2010) authored by Carole A. Goble. Chris Wroe et al.: A Suite of Daml+Oil Ontologies to Describe Bioinformatics Web Services and Data. (2003) authored by Carole A. Goble. Simon Harper et al.: Web Mobility Guidelines for Visually Impaired Surfers. (2001) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: provenance, authoring and versioning. (2013) authored by Carole A. Goble. Tim Clark et al.: Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications. (2014) authored by Carole A. Goble. Kristina M. Hettne et al.: Structuring research methods and data with the research object model: genomics workflows as a case study. (2014) authored by Carole A. Goble. Fuqi Xu et al.: Features of a FAIR vocabulary. (2023) authored by Carole A. Goble. Yeliz Yesilada et al.: Evaluating DANTE: Semantic transcoding for visually disabled users. (2007) authored by Carole A. Goble. Thomas M. Oinn et al.: Taverna: lessons in creating a workflow environment for the life sciences. (2006) authored by Carole A. Goble. Judy Qiu et al.: Emerging Computational Methods for the Life Sciences Workshop 2012. (2014) authored by Carole A. Goble. Wei Tan et al.: A comparison of using Taverna and BPEL in building scientific workflows: the case of caGrid. (2010) authored by Carole A. Goble. Ning Zhang et al.: Achieving fine-grained access control in virtual organizations. (2007) authored by Carole A. Goble. Robert Stevens et al.: A classification of tasks in bioinformatics. (2001) authored by Carole A. Goble. Carole A. Goble: Image Database Prototypes. (1997) authored by Carole A. Goble. Sean Bechhofer et al.: Why Linked Data is Not Enough for Scientists. (2010) authored by Carole A. Goble. Khalid Belhajjame et al.: Fostering Scientific Workflow Preservation through Discovery of Substitute Services. (2011) authored by Carole A. Goble. Matthew Gamble et al.: MIM: A Minimum Information Model vocabulary and framework for Scientific Linked Data. (2012) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2012) authored by Carole A. Goble. Andrew Gibson et al.: The Data Playground: An Intuitive Workflow Specification Environment. (2007) authored by Carole A. Goble. Carole A. Goble: Putting Semantics into e-Science and Grids. (2005) authored by Carole A. Goble. Aleksandra Nenadic et al.: FAME: Adding Multi-Level Authentication to Shibboleth. (2006) authored by Carole A. Goble. David De Roure et al.: The Evolution of myExperiment. (2010) authored by Carole A. Goble. David De Roure et al.: myExperiment: Defining the Social Virtual Research Environment. (2008) authored by Carole A. Goble. David De Roure et al.: Designing the myExperiment Virtual Research Environment for the Social Sharing of Workflows. (2007) authored by Carole A. Goble. Daniele Turi et al.: Taverna Workflows: Syntax and Semantics. (2007) authored by Carole A. Goble. Katy Wolstencroft et al.: Panoply of Utilities in Taverna. (2005) authored by Carole A. Goble. Katherine Wolstencroft et al.: RightField: Semantic enrichment of Systems Biology data using spreadsheets. (2012) authored by Carole A. Goble. Jun Zhao et al.: Why workflows break - Understanding and combating decay in Taverna workflows. (2012) authored by Carole A. Goble. Pascale Gaudet et al.: Towards BioDBcore: a community-defined information specification for biological databases. (2011) authored by Carole A. Goble. Katherine Wolstencroft et al.: The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud. (2013) authored by Carole A. Goble. Katherine Wolstencroft et al.: FAIRDOMHub: a repository and collaboration environment for sharing systems biology research. (2017) authored by Carole A. Goble. Jiten Bhagat et al.: BioCatalogue: a universal catalogue of web services for the life sciences. (2010) authored by Carole A. Goble. Duncan Hull et al.: Taverna: a tool for building and running workflows of services. (2006) authored by Carole A. Goble. Khalid Belhajjame et al.: Automatic annotation of Web services based on workflow definitions. (2008) authored by Carole A. Goble. Paul Brack et al.: Ten simple rules for making a software tool workflow-ready. (2022) authored by Carole A. Goble. Carole A. Goble and Robert Stevens: State of the nation in data integration for bioinformatics. (2008) authored by Carole A. Goble. Simon Harper et al.: Middleware to expand context and preview in hypertext. (2004) authored by Carole A. Goble. Simon Harper et al.: \\\"Engineering accessible design\\\": W4A - international crossdisciplinary workshop on web accessibility 2005 workshop report. (2005) authored by Carole A. Goble. Simon Harper et al.: Building the mobile web: rediscovering accessibility?: W4A - International Cross-Disciplinary Workshop on Web Accessibility workshop report - 2006. (2006) authored by Carole A. Goble. Yeliz Yesilada et al.: Rendering tables in audio: the interaction of structure and reading styles. (2004) authored by Carole A. Goble. Katy Wolstencroft et al.: The myGrid ontology: bioinformatics service discovery. (2007) authored by Carole A. Goble. Robert Stevens et al.: Complex Query Formulation Over Diverse Information Sources in TAMBIS. (2003) authored by Carole A. Goble. Carole A. Goble et al.: Knowledge Integration. (2004) authored by Carole A. Goble. Carole A. Goble et al.: Enhancing Services and Applications with Knowledge and Semantics. (2004) authored by Carole A. Goble. Bertram Ludäscher et al.: Scientific Process Automation and Workflow Management. (2009) authored by Carole A. Goble. Liming Chen et al.: Empowering Resource Providers to Build the Semantic Grid. (2004) authored by Carole A. Goble. Aleksandra Nenadic et al.: DSA-Based Verifiable and Recoverable Encryption of Signatures and Its Application in Certified E-Goods Delivery. (2005) authored by Carole A. Goble. Carole A. Goble and David De Roure: The Semantic Grid: Myth Busting and Bridge Building. (2004) authored by Carole A. Goble. Alan L. Rector et al.: Shedding Light on Patients' Problems: Integrating Knowledge Based Systems into Medical Practice. (1990) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Victor Chang et al.: Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19. (2021) authored by Carole A. Goble. Pinar Alper et al.: Understanding Semantic Aware Grid Middleware for e-Science. (2008) authored by Carole A. Goble. Katherine Wolstencroft et al.: SEEK: a systems biology data and model management platform. (2015) authored by Carole A. Goble. Liming Chen et al.: Semantics-Assisted Problem Solving on the Semantic Grid. (2005) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Towards FAIR principles for research software. (2020) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Packaging research artefacts with RO-Crate. (2022) authored by Carole A. Goble. Michael Bada et al.: A short study on the success of the Gene Ontology. (2004) authored by Carole A. Goble. Khalid Belhajjame et al.: Using a suite of ontologies for preserving workflow-centric research objects. (2015) authored by Carole A. Goble. Óscar Corcho et al.: An overview of S-OGSA: A Reference Semantic Grid Architecture. (2006) authored by Carole A. Goble. Stefan Decker et al.: A new journal for a new era of the World Wide Web. (2003) authored by Carole A. Goble. Paul Groth et al.: API-centric Linked Data integration: The Open PHACTS Discovery Platform case study. (2014) authored by Carole A. Goble. Marta Sabou et al.: Learning domain ontologies for semantic Web service descriptions. (2005) authored by Carole A. Goble. Stephen Crouch et al.: The Software Sustainability Institute: Changing Research Software Attitudes and Practices. (2013) authored by Carole A. Goble. Peter Li et al.: Systematic integration of experimental data and models in systems biology. (2010) authored by Carole A. Goble. Jacek Sroka et al.: A formal semantics for the Taverna 2 workflow model. (2010) authored by Carole A. Goble. Mikel Egaña Aranguren et al.: In situ migration of handcrafted ontologies to reason-able forms. (2008) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Thesaurus construction through knowledge representation. (2001) authored by Carole A. Goble. Daniel S. Katz et al.: A Fresh Look at FAIR for Research Software. (2021) authored by Carole A. Goble. Kristina M. Hettne et al.: Structuring research methods and data with the Research Object model: genomics workflows as a case study. (2013) authored by Carole A. Goble. Yo Yehudi et al.: Sustainability indicators in an open online community. (2023) authored by Carole A. Goble. Carole A. Goble and David De Roure: The impact of workflow tools on data-centric research. (2009) authored by Carole A. Goble. Carole A. Goble and Caroline Moss: Grassroot Groups - Experiences in Horticultural Cultivation. (1990) authored by Carole A. Goble. Stephane Wilson et al.: Experiences of One Day Workshops for Schoolgirls. (1990) authored by Carole A. Goble. Wei Tan et al.: ServiceMap: Providing Map and GPS Assistance to Service Composition in Bioinformatics. (2011) authored by Carole A. Goble. Jinhui Yao et al.: ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted Services. (2012) authored by Carole A. Goble. Carole A. Goble et al.: Describing and Classifying Multimedia Using the Description Logic GRAIL. (1996) authored by Carole A. Goble. Carole A. Goble et al.: Semantic Grid: The Convergence of Technologies, 3.-8. July 2005 (2005) edited by Carole A. Goble. Carole A. Goble: Towards a Semantic Grid Architecture. (2005) authored by Carole A. Goble. York Sure et al.: 05271 - Report on the Dagstuhl Seminar on Semantic Grid - Convergence of Technologies. (2005) authored by Carole A. Goble. York Sure et al.: 05271 Abstracts Collection - Semantic Grid: The Convergence of Technologies. (2005) authored by Carole A. Goble. Pinar Alper et al.: Enhancing and abstracting scientific workflow provenance for data publishing. (2013) authored by Carole A. Goble. Carole A. Goble and Peter Crowther: Schemas for Telling Stories in Medical Records. (1994) authored by Carole A. Goble. Carole A. Goble et al.: The Manchester Multimedia Information System. (1992) authored by Carole A. Goble. Pinar Alper et al.: Static analysis of Taverna workflows to predict provenance patterns. (2017) authored by Carole A. Goble. Sean Bechhofer et al.: Why linked data is not enough for scientists. (2013) authored by Carole A. Goble. David De Roure et al.: The design and realisation of the myExperiment Virtual Research Environment for social sharing of workflows. (2009) authored by Carole A. Goble. Liming Chen et al.: A Semantic Web-Based Approach to Knowledge Management for Grid Applications. (2007) authored by Carole A. Goble. Omar Boucelma et al.: Report on the EDBT'02 Panel on Scientific Data Integration. (2002) authored by Carole A. Goble. Carole A. Goble and Brian J. Read: Report on the 18th British National Conference on Databases (BNCOD). (2002) authored by Carole A. Goble. Carole A. Goble and David De Roure: The Grid: An Application of the Semantic Web. (2002) authored by Carole A. Goble. Bertram Ludäscher and Carole A. Goble: Guest editors' introduction to the special section on scientific workflows. (2005) authored by Carole A. Goble. Liming Chen et al.: Managing Semantic Metadata for Web/Grid Services. (2006) authored by Carole A. Goble. Antoon Goderis et al.: Workflow Discovery: Requirements from E-Science and a Graph-Based Solution. (2008) authored by Carole A. Goble. David De Roure and Carole A. Goble: Software Design for Empowering Scientists. (2009) authored by Carole A. Goble. Wei Tan et al.: caGrid Workflow Toolkit: A Taverna based workflow tool for cancer Grid. (2010) authored by Carole A. Goble. Rafael C. Jiménez et al.: Four simple recommendations to encourage best practices in research software. (2017) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Perspectives on automated composition of workflows in the life sciences. (2021) authored by Carole A. Goble. Aleksandra Pawlik et al.: Developing a strategy for computational lab skills training through Software and Data Carpentry: Experiences from the ELIXIR Pilot action. (2017) authored by Carole A. Goble. Hugh F. Williamson et al.: Data management challenges for artificial intelligence in plant and agricultural research. (2021) authored by Carole A. Goble. Simon Harper et al.: Editorial. (2006) authored by Carole A. Goble. Simon Harper et al.: Building the Mobile Web: rediscovering accessibility? (2007) authored by Carole A. Goble. Norman W. Paton and Carole A. Goble: Information Management for Genome Level Bioinformatics. (2001) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: an evolution for a revolution. (2003) authored by Carole A. Goble. Simon Harper et al.: Augmenting the mobility of profoundly blind Web travellers. (2005) authored by Carole A. Goble. Michael R. Crusoe et al.: Methods included. (2022) authored by Carole A. Goble. Jinhui Yao et al.: ReputationNet: Reputation-Based Service Recommendation for e-Science. (2015) authored by Carole A. Goble. Pinar Alper et al.: LabelFlow Framework for Annotating Workflow Provenance. (2018) authored by Carole A. Goble. Steffen Möller et al.: Community-driven computational biology with Debian Linux. (2010) authored by Carole A. Goble. Antoon Goderis et al.: Benchmarking workflow discovery: a case study from bioinformatics. (2009) authored by Carole A. Goble. Luc Moreau et al.: Special Issue: The First Provenance Challenge. (2008) authored by Carole A. Goble. Chris Wroe et al.: Recycling workflows and services through discovery and reuse. (2007) authored by Carole A. Goble. Jun Zhao et al.: Mining Taverna's semantic web of provenance. (2008) authored by Carole A. Goble. Robert Stevens et al.: OILing the way to machine understandable bioinformatics resources. (2002) authored by Carole A. Goble. Robert Stevens et al.: Building a bioinformatics ontology using OIL. (2002) authored by Carole A. Goble. Patricia G. Baker et al.: An ontology for bioinformatics applications. (1999) authored by Carole A. Goble. Manuel Bernal Llinares et al.: Identifiers.org: Compact Identifier services in the cloud. (2021) authored by Carole A. Goble. Katy Wolstencroft et al.: RightField: embedding ontology annotation in spreadsheets. (2011) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Evaluating FAIR Digital Object and Linked Data as distributed object systems. (2023) authored by Carole A. Goble. Yo Yehudi et al.: COVID-19: An exploration of consecutive systemic barriers to pathogen-related data sharing during a pandemic. (2022) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit: Bringing the Scientific Workflows Community Together. (2021) authored by Carole A. Goble. Jiuqiang Chen et al.: DistillFlow: removing redundancy in scientific workflows. (2014) authored by Carole A. Goble. Paolo Missier et al.: Taverna, Reloaded. (2010) authored by Carole A. Goble. Norman W. Paton et al.: Query Processing in the TAMBIS Bioinformatics Source Integration System. (1999) authored by Carole A. Goble. Martin Peim et al.: Query Processing with Description Logic Ontologies Over Object-Wrapped Databases. (2002) authored by Carole A. Goble. Robert Stevens et al.: TAMBIS Online: A Bioinformatics Source Integration Tool. (1999) authored by Carole A. Goble. Carlos N. Cumberbatch et al.: Bringing a business rule perspective to resource discovery. (2002) authored by Carole A. Goble. Carole A. Goble et al.: Data curation + process curation=data integration + science. (2008) authored by Carole A. Goble. Robert Stevens et al.: Ontology-based Knowledge Representation for Bioinformatics. (2000) authored by Carole A. Goble. Robert Stevens et al.: Using provenance to manage knowledge of In Silico experiments. (2007) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2014) authored by Carole A. Goble. Antoon Goderis et al.: Heterogeneous composition of models of computation. (2009) authored by Carole A. Goble. Paolo Missier and Carole A. Goble: Workflows to open provenance graphs, round-trip. (2011) authored by Carole A. Goble. Romain David et al.: Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness. (2023) authored by Carole A. Goble. Alasdair J. G. Gray et al.: Applying linked data approaches to pharmacology: Architectural decisions and implementation. (2014) authored by Carole A. Goble. Simon Harper et al.: proXimity: Walking the Link. (2004) authored by Carole A. Goble. Natasha F. Noy and Carole A. Goble: Are We Cobblers without Shoes?: Making Computer Science Data FAIR. (2023) authored by Carole A. Goble. Carole A. Goble et al.: Transparent access to multiple bioinformatics information sources. (2001) authored by Carole A. Goble. Carole A. Goble et al.: myExperiment: a repository and social network for the sharing of bioinformatics workflows. (2010) authored by Carole A. Goble. Carole A. Goble: Better Software, Better Research. (2014) authored by Carole A. Goble. Paolo Missier et al.: Requirements and Services for Metadata Management. (2007) authored by Carole A. Goble. Naveen Ashish et al.: Introduction. (2005) authored by Carole A. Goble. Ebtisam Alharbi et al.: Exploring the Current Practices, Costs and Benefits of FAIR Implementation in Pharmaceutical Research and Development: A Qualitative Interview Study. (2021) authored by Carole A. Goble. Carole A. Goble et al.: FAIR Computational Workflows. (2020) authored by Carole A. Goble. Paul Groth et al.: FAIR Data Reuse - the Path through Data Citation. (2020) authored by Carole A. Goble. Alex R. Hardisty et al.: The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections. (2022) authored by Carole A. Goble. Annika Jacobsen et al.: FAIR Principles: Interpretations and Implementation Considerations. (2020) authored by Carole A. Goble. Nick S. Juty et al.: Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR. (2020) authored by Carole A. Goble. Phillip W. Lord et al.: Investigating Semantic Similarity Measures Across the Gene Ontology: The Relationship Between Sequence and Annotation. (2003) authored by Carole A. Goble. Norman W. Paton et al.: Conceptual modelling of genomic information. (2000) authored by Carole A. Goble. Jacqueline Renée Reich et al.: Toward More Intelligent Annotation Tools: A Prototype. (2001) authored by Carole A. Goble. Chris Wroe et al.: Automating Experiments Using Semantic Data on a Bioinformatics Grid. (2004) authored by Carole A. Goble. Yolanda Gil et al.: Examining the Challenges of Scientific Workflows. (2007) authored by Carole A. Goble. Khalid Belhajjame et al.: The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web. (2014) authored by Carole A. Goble. Hyde Zhang et al.: Taverna Mobile: Taverna workflows on Android. (2013) authored by Carole A. Goble. Tony Griffiths et al.: Teallach: a model-based user interface development environment for object databases. (2001) authored by Carole A. Goble. Aleksandra Nenadic et al.: RSA-based Certified Delivery of E-Goods Using Verifiable and Recoverable Signature Encryption. (2005) authored by Carole A. Goble. Carole A. Goble: Multimedia Information Systems: the confluence of technologies and disciplines. (1994) authored by Carole A. Goble. Norman W. Paton et al.: Knowledge based information integration systems. (2000) authored by Carole A. Goble. Jay (Subbarao) Kola et al.: Towards an ontology for psychosis. (2010) authored by Carole A. Goble. Pascale Gaudet et al.: Towards BioDBcore: a community-defined information specification for biological databases. (2011) authored by Carole A. Goble. Peter Li et al.: Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data. (2008) authored by Carole A. Goble. Jennifer A. Siepen et al.: ISPIDER Central: an integrated database web-server for proteomics. (2008) authored by Carole A. Goble. Jun Zhao et al.: Extending Semantic Provenance into the Web of Data. (2011) authored by Carole A. Goble. Pinar Alper et al.: Automatic vs Manual Provenance Abstractions: Mind the Gap. (2016) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Alan L. Rector et al.: The GRAIL concept modelling language for medical terminology. (1997) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Packaging research artefacts with RO-Crate. (2021) authored by Carole A. Goble. Michael R. Crusoe et al.: Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. (2021) authored by Carole A. Goble. Yo Yehudi et al.: Subjective data models in bioinformatics: Do wet-lab and computational biologists comprehend data differently? (2022) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit 2022: A Roadmap Revolution. (2023) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. (2021) authored by Carole A. Goble. Frank van Harmelen et al.: Theoretical And Technological Building Blocks For An Innovation Accelerator (2012) authored by Carole A. Goble. Les Carr et al.: Ontologies and Hypertext. (2004) authored by Carole A. Goble. Robert Stevens et al.: Ontologies in Bioinformatics. (2004) authored by Carole A. Goble. Tom Oinn et al.: Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community. (2007) authored by Carole A. Goble{'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. She is principal investigator (PI) of the myGrid, BioCatalogue and myExperiment projects and co-leads the Information Management Group (IMG) with Norman Paton.\\\\nGoble was educated at Maidstone School for Girls. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982.\\\\nHer current research interests include grid computing, the semantic grid, the Semantic Web, ontologies, e-Science, medical informatics, bioinformatics, and Research Objects. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has successfully secured funding from the European Union, the Defense Advanced Research Projects Agency (DARPA) in the United States and UK funding agencies including the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), Economic and Social Research Council (ESRC), Medical Research Council (United Kingdom) (MRC), the Department of Health, the Open Middleware Infrastructure Institute and the Department of Trade and Industry.\\\\nHer work has been published in leading peer reviewed scientific journals including Nucleic Acids Research, Bioinformatics, IEEE Computer, the Journal of Biomedical Semantics, Briefings in Bioinformatics, Artificial Intelligence in Medicine, the Pacific Symposium on Biocomputing conference, the International Journal of Cooperative Information Systems, the Journal of Biomedical Informatics, Nature Genetics and Drug Discovery Today.\\\\nGoble joined the University of Manchester in 1985, and was appointed to a chair in 2000. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008.\\\\nGoble serves on several committees, including the advisory committees of the Science and Technology Facilities Council Physical and Life Sciences advisory committee, the Netherlands Bioinformatics Centre and the European Grid Infrastructure committee.\\\\nShe was appointed to the Biotechnology and Biological Sciences Research Council on 13 June 2013.\\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. She co-founded Cerebra, an early spin-off company to exploit Semantic Web technologies, which has been sold.\\\\nGoble was recipient of the first Jim Gray e-Science Award in December 2008. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. In 2002 she was honoured by Sun Microsystems for her significant achievements in advancing life science computing. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics.\\\\nGoble was appointed Commander of the Order of the British Empire (CBE) in the 2014 New Year Honours for services to science.\\\\nShe was elected a Fellow of the Royal Academy of Engineering (FREng) in 2010. In January 2018 Goble was awarded the degree of Doctorem (honoris causa) by Maastricht University.\\\"}\",\n \"verbalizer_on_all_triples\": \"Carole Goble's written paper amount in year 2012 is 22.\\nCarole Goble's written paper amount in year 2013 is 25.\\nCarole Goble's written paper amount in year 2014 is 28.\\nCarole Goble's written paper amount in year 2015 is 20.\\nCarole Goble's written paper amount in year 2016 is 20.\\nCarole Goble wrote 17 papers in 2017.\\nCarole Goble has a written paper amount of 9 in year 2018.\\nCarole Goble's written paper amount in year 2019 is 11 pages.\\nCarole Goble's written paper amount in year 2020 is 16.\\nCarole Goble's written paper amount in year 2021 is 18.\\nCarole Goble's written paper amount in year 2022 is 14.\\nCarole Goble has written paper amount in year2023: 20.\\nCarole Goble has a 2YrMeanCitedness of 6.0882353782653808594.\\nCarole A. Goble is affiliated with the University of Manchester, UK.\\nCarole Goble's alternative name is \\\"Carole Goble, Goble Carole, C. Goble, Carole, C. A. Goble, Carole Anne Goble, Carole A. Goble\\\".\\n\\\"Robert D. Stevens et al.: Exploring Williams-Beuren syndrome using myGrid. (2004), Giuseppe Pirr<unk> et al.: Combining DHTs and SONs for Semantic-Based Service Discovery. (2009), Carole A. Goble: Towards a Semantic Grid Architecture. (2005), Niall Beard et al.: TeSS: a platform for discovering life-science training opportunities. (2004), Kevin L. Gar\\nCarole Goble cited by count is 24721.\\n\\\"Carole A. Goble et al.: 2012 IEEE 19th International Conference on Web Services, Honolulu, HI, USA, June 24-29, 2012 (2012), Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, Chiba, Japan, May 10-14, 2005 (2005), Paul Groth et al.: Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigation\\nCarole Goble has an h-index of 66.\\nCarole Goble has an i10Index of 227.\\nCarole A. Goble is the creator of Carole A. Goble. She is the author of Carole A. Goble.\\nCarole A. Goble's link is \\\"https://en.wikipedia.org/wiki/Carole_Goble, http://www.wikidata.org/entity/Q11604, https://twitter.com/caroleannegoble, https://www.scopus.com/authid/detail.uri?authorId=7004072716, https://zbmath.org/authors/?q=ai:goble.carole, https\\nCarole Goble is a member of the University of Manchester.\\nCarole Goble was modified on 2023-10-18.\\nCarole Goble's name is Carole Goble.\\nCarole Goble has orcidId https://orcid.org/0000-0003-1219-2137.\\nCarole A. Goble's primary affiliation is the University of Manchester, UK.\\nCarole Goble is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS.\\nCarole Goble has 626 works.{'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. She is principal investigator (PI) of the myGrid, BioCatalogue and myExperiment projects and co-leads the Information Management Group (IMG) with Norman Paton.\\\\nGoble was educated at Maidstone School for Girls. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982.\\\\nHer current research interests include grid computing, the semantic grid, the Semantic Web, ontologies, e-Science, medical informatics, bioinformatics, and Research Objects. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has successfully secured funding from the European Union, the Defense Advanced Research Projects Agency (DARPA) in the United States and UK funding agencies including the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), Economic and Social Research Council (ESRC), Medical Research Council (United Kingdom) (MRC), the Department of Health, the Open Middleware Infrastructure Institute and the Department of Trade and Industry.\\\\nHer work has been published in leading peer reviewed scientific journals including Nucleic Acids Research, Bioinformatics, IEEE Computer, the Journal of Biomedical Semantics, Briefings in Bioinformatics, Artificial Intelligence in Medicine, the Pacific Symposium on Biocomputing conference, the International Journal of Cooperative Information Systems, the Journal of Biomedical Informatics, Nature Genetics and Drug Discovery Today.\\\\nGoble joined the University of Manchester in 1985, and was appointed to a chair in 2000. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008.\\\\nGoble serves on several committees, including the advisory committees of the Science and Technology Facilities Council Physical and Life Sciences advisory committee, the Netherlands Bioinformatics Centre and the European Grid Infrastructure committee.\\\\nShe was appointed to the Biotechnology and Biological Sciences Research Council on 13 June 2013.\\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. She co-founded Cerebra, an early spin-off company to exploit Semantic Web technologies, which has been sold.\\\\nGoble was recipient of the first Jim Gray e-Science Award in December 2008. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. In 2002 she was honoured by Sun Microsystems for her significant achievements in advancing life science computing. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics.\\\\nGoble was appointed Commander of the Order of the British Empire (CBE) in the 2014 New Year Honours for services to science.\\\\nShe was elected a Fellow of the Royal Academy of Engineering (FREng) in 2010. In January 2018 Goble was awarded the degree of Doctorem (honoris causa) by Maastricht University.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Rafael Ferreira da Silva et al.: Workflows Community Summit: Bringing the Scientific Workflows Community Together. (2021), Bernard Horan et al.: Supporting a humanly impossible task: The clinical human computer environment. (1990), Alice Allen et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2017), David De Roure et al.: Towards the Preservation of Scientific Workflows. (2011), Shoa\\nCarole A. Goble is the creator.\\nCarole A. Goble's link is https://scholar.google.com/citations?user=2G4kqPYAAAAJ and also https://zbmath.org/authors/?q=ai:goble.carole.\\nCarole Goble has 626 works. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna. {'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester\"\n}"}}},{"rowIdx":69,"cells":{"id":{"kind":"string","value":"bc9aaa3d-27cb-4d68-8e4d-16f1b154c839"},"triples_number":{"kind":"number","value":511,"string":"511"},"question":{"kind":"string","value":"What is the number of publications for the affiliation of the author of 'Simulating Parallel Algorithms in the MapReduce Framework with Applications to Parallel Computational Geometry'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"0.34999999403953552246\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"University of California, Irvine, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"M. Goodrich\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"M. T. Goodrich\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"Michael Goodrich\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"Michael Truman Goodrich\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Michael T. Goodrich\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael T. Goodrich et al.: More Practical and Secure History-Independent Hash Tables. (2016)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Esther M. Arkin et al.: Point Probe Decision Trees for Geometric Concept Classes. (1993)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mikhail J. Atallah et al.: Discrepancy-Sensitive Dynamic Fractional Cascading, Dominated Maxima Searching, and 2-d Nearest Neighbors in Any Minkowski Metric. (2007)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amitabha Bagchi et al.: Seller-Focused Algorithms for Online Auctioning. (2001)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gill Barequet et al.: Offset-Polygon Annulus Placement Problems. (1997)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gill Barequet et al.: Voronoi Diagrams for Polygon-Offset Distance Functions. (1997)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gill Barequet et al.: Drawing Graphs with Large Vertices and Thick Edges. (2003)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paul B. Callahan et al.: Topology B-Trees and Their Applications. (1995)\"\n },\n {\n \"object\": \"Michael T. Goodrich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amitabh Chaudhary and Michael T. 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Goodrich: Simulating Parallel Algorithms in the MapReduce Framework with Applications to Parallel Computational Geometry (2010) authored by Michael T. Goodrich. Ramtin Afshar et al.: Parallel Network Mapping Algorithms. (2021) authored by Michael T. Goodrich. Michael T. Goodrich: Parallel algorithms column 1: models of computation. (1993) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: Experimental Evidence for the Power of Random Samplings in Practical Parallel Algorithms. (1993) authored by Michael T. Goodrich. Michael T. Goodrich: Parallel algorithms in geometry. (2004) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sorting, Searching, and Simulation in the MapReduce Framework (2011) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sorting, Searching, and Simulation in the MapReduce Framework. (2011) authored by Michael T. Goodrich. Michael T. Goodrich: Using Approximation Algorithms to Design Parallel Algorithms that May Ignore Processor Allocation (Preliminary Version) (1991) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: MapReduce Parallel Cuckoo Hashing and Oblivious RAM Simulations (2010) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Cascading Divide-and-Conquer: A Technique for Designing Parallel Algorithms (1987) authored by Michael T. Goodrich. Thomas H. Cormen and Michael T. Goodrich: A Bridging Model for Parallel Computation, Communication, and I/O. (1996) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Approximate Parallel Prefix Computation and its Applications. (1993) authored by Michael T. Goodrich. Nancy M. Amato et al.: Parallel Algorithms for Higher-Dimensional Convex Hulls (1994) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Cascading Divide-and-Conquer: A Technique for Designing Parallel Algorithms. (1989) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Optimal Parallel Approximation for Prefix Sums and Integer Sorting. (1994) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sweep Methods for Parallel Computational Geometry. (1996) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Generalized Sweep Methods for Parallel Computational Geometry. (1990) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Efficient Parallel Solutions to Some Geometric Problems. (1986) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Parallel Algorithms for Some Functions of two Convex Polygons. (1988) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Efficient Parallel Solutions to Geometric Problems. (1985) authored by Michael T. Goodrich. Michael T. Goodrich: Communication-Efficient Parallel Sorting (Preliminary Version). (1996) authored by Michael T. Goodrich. Michael T. Goodrich: Communication-Efficient Parallel Sorting. (1999) authored by Michael T. Goodrich. Michael T. Goodrich: Constructing Arrangements Optimally in Parallel (Preliminary Version). (1991) authored by Michael T. Goodrich. Ramtin Afshar et al.: Mapping Networks via Parallel kth-Hop Traceroute Queries. (2022) authored by Michael T. Goodrich. Richard Cole and Michael T. Goodrich: Optimal Parallel Algorithms for Point-Set and Polygon Problems. (1992) authored by Michael T. Goodrich. William E. Devanny et al.: Parallel Equivalence Class Sorting: Algorithms, Lower Bounds, and Distribution-Based Analysis. (2016) authored by Michael T. Goodrich. William E. Devanny et al.: Parallel Equivalence Class Sorting: Algorithms, Lower Bounds, and Distribution-Based Analysis. (2016) authored by Michael T. Goodrich. Richard Cole et al.: A Nearly Optimal Deterministic Parallel Voroni Diagram Algorithm. (1996) authored by Michael T. Goodrich. Michael T. Goodrich: Geometric Partitioning Made Easier, Even in Parallel. (1993) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: Fast Randomized Parallel Methods for Planar Convex Hull Construction. (1997) authored by Michael T. Goodrich. Richard Cole and Michael T. Goodrich: Optimal Parallel Algorithms for Polygon and Point-Set Problems. (1988) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: In-Place Techniques for Parallel Convex Hull Algorithms (Preliminary Version). (1991) authored by Michael T. Goodrich. Hossam A. ElGindy and Michael T. Goodrich: Parallel algorithms for shortest path problems in polygons. (1988) authored by Michael T. Goodrich. Michael T. Goodrich and Riko Jacob: Optimal Parallel Sorting with Comparison Errors. (2023) authored by Michael T. Goodrich. Michael T. Goodrich and Ahmed Eldawy: Parallel Algorithms for Summing Floating-Point Numbers. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Ahmed Eldawy: Parallel Algorithms for Summing Floating-Point Numbers. (2016) authored by Michael T. Goodrich. Michael T. Goodrich: Triangulating a Polygon in Parallel. (1989) authored by Michael T. Goodrich. Lars Arge et al.: Parallel external memory graph algorithms. (2010) authored by Michael T. Goodrich. Gill Barequet et al.: Classical Computational Geometry in GeomNet. (1997) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Brief announcement: large-scale multimaps. (2011) authored by Michael T. Goodrich. Lars Arge et al.: Fundamental parallel algorithms for private-cache chip multiprocessors. (2008) authored by Michael T. Goodrich. Michael T. Goodrich: Constructing Arrangement Optimally in Parallel. (1993) authored by Michael T. Goodrich. Michael T. Goodrich and Michael J. Nelson: Distributed Peer-to-Peer Data Structures. (2007) authored by Michael T. Goodrich. Michael T. Goodrich: Intersecting Line Segments in Parallel with an Output-Sensitive Number of Processors. (1991) authored by Michael T. Goodrich. Michael T. Goodrich: Finding the Convex Hull of a Sorted Point Set in Parallel. (1987) authored by Michael T. Goodrich. Michael T. Goodrich: Intersecting Line Segments in Parallel With an Output-Sensitive Number of Processors. (1989) authored by Michael T. Goodrich. Gill Barequet et al.: GeomNet: Geometric Computing Over the Internet. (1999) authored by Michael T. Goodrich. Lars Arge et al.: Skip-Webs: Efficient Distributed Data Structures for Multi-Dimensional Data Sets (2005) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Constructing the Voronoi Diagram of a Set of Line Segments in Parallel. (1993) authored by Michael T. Goodrich. Michael T. Goodrich et al.: The rainbow skip graph: a fault-tolerant constant-degree distributed data structure. (2006) authored by Michael T. Goodrich\\\\nGoodrich is a Fellow of the American Association for the Advancement of Science, a Fulbright Scholar, a Fellow of the IEEE, and a Fellow of the Association for Computing Machinery. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987 under the supervision of Mikhail Atallah\",\n \"plain\": \"Michael T. Goodrich is Author. Michael T. Goodrich modified 2023-10-18. Michael T. Goodrich citedByCount 8845. Michael T. Goodrich written paper amount in year2012: 21. Michael T. Goodrich written paper amount in year2012: 21. Michael T. Goodrich written paper amount in year2013: 24. Michael T. Goodrich written paper amount in year2013: 24. Michael T. Goodrich written paper amount in year2014: 20. Michael T. Goodrich written paper amount in year2014: 20. Michael T. Goodrich written paper amount in year2015: 6. Michael T. Goodrich written paper amount in year2015: 6. Michael T. Goodrich written paper amount in year2016: 19. Michael T. Goodrich written paper amount in year2016: 19. Michael T. Goodrich written paper amount in year2017: 19. Michael T. Goodrich written paper amount in year2017: 19. Michael T. Goodrich written paper amount in year2018: 21. Michael T. Goodrich written paper amount in year2018: 21. Michael T. Goodrich written paper amount in year2019: 11. Michael T. Goodrich written paper amount in year2019: 11. Michael T. Goodrich written paper amount in year2020: 9. Michael T. Goodrich written paper amount in year2020: 9. Michael T. Goodrich written paper amount in year2021: 11. Michael T. Goodrich written paper amount in year2021: 11. Michael T. Goodrich written paper amount in year2022: 6. Michael T. Goodrich written paper amount in year2022: 6. Michael T. Goodrich written paper amount in year2023: 10. Michael T. Goodrich written paper amount in year2023: 10. Michael T. Goodrich worksCount 583. Michael T. Goodrich name Michael T. Goodrich. Michael T. Goodrich member of University of California, Irvine. Michael T. Goodrich h-index 48. Michael T. Goodrich 2YrMeanCitedness 0.34999999403953552246. Michael T. Goodrich alternativeName M. Goodrich. Michael T. Goodrich alternativeName M. T. Goodrich. Michael T. Goodrich alternativeName Michael Goodrich. Michael T. Goodrich alternativeName Michael T. Goodrich. Michael T. Goodrich alternativeName Michael Truman Goodrich. Michael T. Goodrich i10Index 194. Michael T. Goodrich orcidId https://orcid.org/0000-0002-8943-191X. Michael T. Goodrich is Creator. Michael T. Goodrich is Person. Michael T. Goodrich link http://www.wikidata.org/entity/Q15995102. Michael T. Goodrich affiliation University of California, Irvine, USA. Michael T. Goodrich link http://www.ics.uci.edu/~goodrich/. Michael T. Goodrich primary affiliation University of California, Irvine, USA. Michael T. Goodrich link http://www.ics.uci.edu/~goodrich/. Michael T. Goodrich link https://mathscinet.ams.org/mathscinet/MRAuthorID/249400. Michael T. Goodrich link https://arxiv.org/a/goodrich_m_1. Michael T. Goodrich link https://zbmath.org/authors/?q=ai:goodrich.michael-t. Michael T. Goodrich link https://dl.acm.org/profile/81452611465. Michael T. Goodrich link https://scholar.google.com/citations?user=sSS9gSoAAAAJ. Michael T. Goodrich link https://mathgenealogy.org/id.php?id=35864. Michael T. Goodrich link https://en.wikipedia.org/wiki/Michael_T._Goodrich. Michael T. Goodrich et al.: More Practical and Secure History-Independent Hash Tables. (2016) authored by Michael T. Goodrich. Esther M. Arkin et al.: Point Probe Decision Trees for Geometric Concept Classes. (1993) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Discrepancy-Sensitive Dynamic Fractional Cascading, Dominated Maxima Searching, and 2-d Nearest Neighbors in Any Minkowski Metric. (2007) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Seller-Focused Algorithms for Online Auctioning. (2001) authored by Michael T. Goodrich. Gill Barequet et al.: Offset-Polygon Annulus Placement Problems. (1997) authored by Michael T. Goodrich. Gill Barequet et al.: Voronoi Diagrams for Polygon-Offset Distance Functions. (1997) authored by Michael T. Goodrich. Gill Barequet et al.: Drawing Graphs with Large Vertices and Thick Edges. (2003) authored by Michael T. Goodrich. Paul B. Callahan et al.: Topology B-Trees and Their Applications. (1995) authored by Michael T. Goodrich. Amitabh Chaudhary and Michael T. Goodrich: Balanced Aspect Ratio Trees Revisited. (2005) authored by Michael T. Goodrich. Gautam Das and Michael T. Goodrich: On the Complexity of Approximating and Illuminating Three-Dimensional Convex Polyhedra (Preliminary Version). (1995) authored by Michael T. Goodrich. Wenliang Du et al.: On the Approximability of Geometric and Geographic Generalization and the Min-Max Bin Covering Problem. (2009) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Space-Efficient Straggler Identification in Round-Trip Data Streams Via Newton's Identities and Invertible Bloom Filters. (2007) authored by Michael T. Goodrich. David Eppstein et al.: Improved Combinatorial Group Testing for Real-World Problem Sizes. (2005) authored by Michael T. Goodrich. David Eppstein et al.: Combinatorial Pair Testing: Distinguishing Workers from Slackers. (2013) authored by Michael T. Goodrich. David Eppstein et al.: Tracking Moving Objects with Few Handovers. (2011) authored by Michael T. Goodrich. Ofek Gila et al.: Zip-Zip Trees: Making Zip Trees More Balanced, Biased, Compact, or Persistent. (2023) authored by Michael T. Goodrich. Michael T. Goodrich et al.: How to Catch Marathon Cheaters: New Approximation Algorithms for Tracking Paths. (2021) authored by Michael T. Goodrich. Michael T. Goodrich and John G. Kloss II: Tiered Vectors: Efficient Dynamic Arrays for Rank-Based Sequences. (1999) authored by Michael T. Goodrich. Michael T. Goodrich and Evrim Ozel: External-Memory Sorting with Comparison Errors. (2023) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Constructing the Voronoi Diagram of a Set of Line Segments in Parallel (Preliminary Version). (1989) authored by Michael T. Goodrich. Michael T. Goodrich and Jack Snoeyink: Stabbing Parallel Segments with a Convex Polygon (Extended Abstract). (1989) authored by Michael T. Goodrich. Christian A. Duncan et al.: Balanced Aspect Ratio Trees: Combining the Advantages of k-d Trees and Octrees. (1999) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Efficient Tree-Based Revocation in Groups of Low-State Devices. (2004) authored by Michael T. Goodrich. David Eppstein et al.: Approximate topological matching of quadrilateral meshes. (2008) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Teaching internet algorithmics. (2001) authored by Michael T. Goodrich. Arthur U. Asuncion and Michael T. Goodrich: Turning privacy leaks into floods: surreptitious discovery of social network friendships and other sensitive binary attribute vectors. (2010) authored by Michael T. Goodrich. Michael T. Goodrich: BIOS ORAM: Improved Privacy-Preserving Data Access for Parameterized Outsourced Storage. (2017) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Invertible bloom lookup tables. (2011) authored by Michael T. Goodrich. Matthew T. Dickerson and Michael T. Goodrich: Two-site Voronoi diagrams in geographic networks. (2008) authored by Michael T. Goodrich. Michael T. Goodrich and Catherine C. McGeoch: Algorithm Engineering and Experimentation, International Workshop ALENEX '99, Baltimore, MD, USA, January 15-16, 1999, Selected Papers (1999) edited by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments, ALENEX 2016, Arlington, Virginia, USA, January 10, 2016 (2016) edited by Michael T. Goodrich. Michael T. Goodrich et al.: Accessing the Internal Organization of Data Structures in the JDSL Library. (1999) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Quadratic Time Algorithms Appear to be Optimal for Sorting Evolving Data. (2018) authored by Michael T. Goodrich. Michael T. Goodrich: Parallel algorithms in geometry. (2004) authored by Michael T. Goodrich. Christian A. Duncan and Michael T. Goodrich: Approximate Geometric Query Structures. (2004) authored by Michael T. Goodrich. Christian A. Duncan and Michael T. Goodrich: Planar Orthogonal and Polyline Drawing Algorithms. (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Michael J. Nelson: Distributed Peer-to-Peer Data Structures. (2007) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Data Structures in JDSL. (2004) authored by Michael T. Goodrich. Giordano Da Lozzo et al.: Subexponential-Time and FPT Algorithms for Embedded Flat Clustered Planarity. (2018) authored by Michael T. Goodrich. David Eppstein et al.: What's the difference?: efficient set reconciliation without prior context. (2011) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Reliable Resource Searching in P2P Networks. (2009) authored by Michael T. Goodrich. Natasha Gelfand et al.: Teaching data structure design patterns. (1998) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Teaching the analysis of algorithms with visual proofs. (1998) authored by Michael T. Goodrich. David Eppstein et al.: Models and Algorithms for Graph Watermarking. (2016) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Athos: Efficient Authentication of Outsourced File Systems. (2008) authored by Michael T. Goodrich. Michael T. Goodrich et al.: An Efficient Dynamic and Distributed Cryptographic Accumulator. (2002) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Scheduling Autonomous Vehicle Platoons Through an Unregulated Intersection. (2016) authored by Michael T. Goodrich. Ramtin Afshar and Michael T. Goodrich: Exact Learning of Multitrees and Almost-Trees Using Path Queries. (2022) authored by Michael T. Goodrich. David Eppstein et al.: Reactive Proximity Data Structures for Graphs. (2018) authored by Michael T. Goodrich. Nancy M. Amato et al.: Linear-time triangulation of a simple polygon made easier via randomization. (2000) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Efficient Plane Sweeping in Parallel. (1986) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Biased Finger Trees and Three-Dimensional Layers of Maxima (Preliminary Version). (1994) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Deterministic sampling and range counting in geometric data streams. (2004) authored by Michael T. Goodrich. Gill Barequet et al.: Animating the Polygon-Offset Distance Function. (1997) authored by Michael T. Goodrich. Gill Barequet et al.: Classical Computational Geometry in GeomNet. (1997) authored by Michael T. Goodrich. Gill Barequet et al.: Efficient Perspective-Accurate Silhouette Computation. (1999) authored by Michael T. Goodrich. Gill Barequet et al.: Efficiently Approximating Polygonal Paths in Three and Higher Dimensions. (1998) authored by Michael T. Goodrich. Hervé Brönnimann and Michael T. Goodrich: Almost Optimal Set Covers in Finite VC-Dimension (Preliminary Version). (1994) authored by Michael T. Goodrich. Marek Chrobak et al.: Convex Drawings of Graphs in Two and Three Dimensions (Preliminary Version). (1996) authored by Michael T. Goodrich. Richard Cole and Michael T. Goodrich: Optimal Parallel Algorithms for Polygon and Point-Set Problems. (1988) authored by Michael T. Goodrich. David Eppstein et al.: The skip quadtree: a simple dynamic data structure for multidimensional data. (2005) authored by Michael T. Goodrich. David Eppstein et al.: Guard placement for efficient point-in-polygon proofs. (2007) authored by Michael T. Goodrich. Ashim Garg et al.: Area-Efficient Upward Tree Drawings. (1993) authored by Michael T. Goodrich. Michael T. Goodrich: Geometric Partitioning Made Easier, Even in Parallel. (1993) authored by Michael T. Goodrich. Michael T. Goodrich: Efficient Piecewise-Linear Function Approximation Using the Uniform Metric (Preliminary Version). (1994) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Snap Rounding Line Segments Efficiently in Two and Three Dimensions. (1997) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Practical Methods for Approximate Geometric Pattern Matching Under Rigid Motions (Preliminary Version). (1994) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Parallel Methods for Visibility and Shortest Path Problems in Simple Polygons (Preliminary Version). (1990) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Dynamic Ray Shooting and Shortest Paths Via Balanced Geodesic Triangulations. (1993) authored by Michael T. Goodrich. Mihai Pop et al.: Efficient perspective-accurate silhouette computation and applications. (2001) authored by Michael T. Goodrich. Nancy M. Amato et al.: Computing the arrangement of curve segments: divide-and-conquer algorithms via sampling. (2000) authored by Michael T. Goodrich. Gill Barequet et al.: Straight-skeleton based contour interpolation. (2003) authored by Michael T. Goodrich. Yi-Jen Chiang et al.: External-Memory Graph Algorithms. (1995) authored by Michael T. Goodrich. Christian A. Duncan et al.: Efficient Approximation and Optimization Algorithms for Computational Metrology. (1997) authored by Michael T. Goodrich. David Eppstein et al.: Linear-time algorithms for geometric graphs with sublinearly many crossings. (2009) authored by Michael T. Goodrich. Michael T. Goodrich: Competitive tree-structured dictionaries. (2000) authored by Michael T. Goodrich. Michael T. Goodrich: Randomized Shellsort: A Simple Oblivious Sorting Algorithm. (2010) authored by Michael T. Goodrich. Michael T. Goodrich: Applying Parallel Processing Techniques to Classification Problems in Constructive Solid Geometry. (1990) authored by Michael T. Goodrich. Michael T. Goodrich: Fixed-Dimensional Parallel Linesr Programming via epsilon-Relative-Approximations. (1996) authored by Michael T. Goodrich. Michael T. Goodrich: Randomized Fully-Scalable BSP Techniques for Multi-Searching and Convex Hull Construction (Preliminary Version). (1997) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Atomic Power in Forks: A Super-Logarithmic Lower Bound for Implementing Butterfly Networks in the Nonatomic Binary Fork-Join Model. (2021) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Privacy-preserving group data access via stateless oblivious RAM simulation. (2012) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Optimal Parallel Approximation for Prefix Sums and Integer Sorting. (1994) authored by Michael T. Goodrich. Michael T. Goodrich et al.: The rainbow skip graph: a fault-tolerant constant-degree distributed data structure. (2006) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Methods for Achieving Fast Query Times in Point Location Data Structures. (1997) authored by Michael T. Goodrich. David Eppstein et al.: Category-based routing in social networks: Membership dimension and the small-world phenomenon. (2011) authored by Michael T. Goodrich. Matthew T. Dickerson et al.: Round-Trip Voronoi Diagrams and Doubling Density in Geographic Networks. (2010) authored by Michael T. Goodrich. Aris Anagnostopoulos et al.: Persistent Authenticated Dictionaries and Their Applications. (2001) authored by Michael T. Goodrich. Ramtin Afshar et al.: Parallel Network Mapping Algorithms. (2021) authored by Michael T. Goodrich. Lars Arge et al.: Fundamental parallel algorithms for private-cache chip multiprocessors. (2008) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: P-Complete Geometric Problems. (1990) authored by Michael T. Goodrich. William E. Devanny et al.: Parallel Equivalence Class Sorting: Algorithms, Lower Bounds, and Distribution-Based Analysis. (2016) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Brief Announcement: Using Multi-Level Parallelism and 2-3 Cuckoo Filters for Set Intersection Queries and Sparse Boolean Matrix Multiplication. (2017) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: In-Place Techniques for Parallel Convex Hull Algorithms (Preliminary Version). (1991) authored by Michael T. Goodrich. Michael T. Goodrich: Data-oblivious external-memory algorithms for the compaction, selection, and sorting of outsourced data. (2011) authored by Michael T. Goodrich. Michael T. Goodrich: Intersecting Line Segments in Parallel With an Output-Sensitive Number of Processors. (1989) authored by Michael T. Goodrich. Michael T. Goodrich and Ahmed Eldawy: Parallel Algorithms for Summing Floating-Point Numbers. (2016) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Generalized Sweep Methods for Parallel Computational Geometry. (1990) authored by Michael T. Goodrich. Michael T. Goodrich and Daniel S. Hirschberg: Efficient parallel algorithms for dead sensor diagnosis and multiple access channels. (2006) authored by Michael T. Goodrich. Michael T. Goodrich and Riko Jacob: Optimal Parallel Sorting with Comparison Errors. (2023) authored by Michael T. Goodrich. Gill Barequet et al.: Computing Convex-Straight-Skeleton Voronoi Diagrams for Segments and Convex Polygons. (2018) authored by Michael T. Goodrich. Stephen G. Kobourov and Michael T. Goodrich: Graph Drawing, 10th International Symposium, GD 2002, Irvine, CA, USA, August 26-28, 2002, Revised Papers (2002) edited by Michael T. Goodrich. Md. Jawaherul Alam et al.: Balanced Circle Packings for Planar Graphs. (2014) authored by Michael T. Goodrich. Michael J. Bannister et al.: The Galois Complexity of Graph Drawing: Why Numerical Solutions Are Ubiquitous for Force-Directed, Spectral, and Circle Packing Drawings. (2014) authored by Michael T. Goodrich. Michael J. Bannister et al.: Force-Directed Graph Drawing Using Social Gravity and Scaling. (2012) authored by Michael T. Goodrich. Franz-Josef Brandenburg et al.: On the Density of Maximal 1-Planar Graphs. (2012) authored by Michael T. Goodrich. Franz-Josef Brandenburg et al.: Selected Open Problems in Graph Drawing. (2003) authored by Michael T. Goodrich. Erin W. Chambers et al.: Drawing Graphs in the Plane with a Prescribed Outer Face and Polynomial Area. (2010) authored by Michael T. Goodrich. Timothy M. Chan et al.: Optimizing Area and Aspect Ratio in Straight-Line Orthogonal Tree Drawings. (1996) authored by Michael T. Goodrich. C. C. Cheng et al.: Drawing Planar Graphs with Circular Arcs. (1999) authored by Michael T. Goodrich. Roman Chernobelskiy et al.: Force-Directed Lombardi-Style Graph Drawing. (2011) authored by Michael T. Goodrich. Alvin Chiu et al.: Manipulating Weights to Improve Stress-Graph Drawings of 3-Connected Planar Graphs. (2023) authored by Michael T. Goodrich. Matthew Dickerson et al.: Confluent Drawings: Visualizing Non-planar Diagrams in a Planar Way. (2003) authored by Michael T. Goodrich. Michael B. Dillencourt et al.: Choosing Colors for Geometric Graphs Via Color Space Embeddings. (2006) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar and Poly-arc Lombardi Drawings. (2011) authored by Michael T. Goodrich. Christian A. Duncan et al.: Drawing Trees with Perfect Angular Resolution and Polynomial Area. (2010) authored by Michael T. Goodrich. Christian A. Duncan et al.: Lombardi Drawings of Graphs. (2010) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar Drawings of Higher-Genus Graphs. (2009) authored by Michael T. Goodrich. Christian A. Duncan et al.: Balanced Aspect Ratio Trees and Their Use for Drawing Very Large Graphs. (1998) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planarity-Preserving Clustering and Embedding for Large Planar Graphs. (1999) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Succinct Greedy Graph Drawing in the Hyperbolic Plane. (2008) authored by Michael T. Goodrich. David Eppstein et al.: Confluent Layered Drawings. (2004) authored by Michael T. Goodrich. David Eppstein et al.: Delta-Confluent Drawings. (2005) authored by Michael T. Goodrich. Pawel Gajer et al.: A Multi-dimensional Approach to Force-Directed Layouts of Large Graphs. (2000) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Knuthian Drawings of Series-Parallel Flowcharts. (2015) authored by Michael T. Goodrich. Michael T. Goodrich et al.: C-Planarity of Extrovert Clustered Graphs. (2005) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Graph Drawing in the Cloud: Privately Visualizing Relational Data Using Small Working Storage. (2012) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Achieving Good Angular Resolution in 3D Arc Diagrams. (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Streamed Graph Drawing and the File Maintenance Problem. (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Joseph A. Simons: More Graph Drawing in the Cloud: Data-Oblivious st-Numbering, Visibility Representations, and Orthogonal Drawing of Biconnected Planar Graphs. (2012) authored by Michael T. Goodrich. Michael T. Goodrich and Christopher G. Wagner: A Framework for Drawing Planar Graphs with Curves and Polylines. (1998) authored by Michael T. Goodrich. Paul J. Tanenbaum et al.: Characterization and Recognition of Point-Halfspace and Related Orders. (1994) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Accredited DomainKeys: A Service Architecture for Improved Email Validation. (2005) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Loud and Clear: Human-Verifiable Authentication Based on Audio. (2006) authored by Michael T. Goodrich. Lars Arge et al.: Computing betweenness centrality in external memory. (2013) authored by Michael T. Goodrich. Ramtin Afshar et al.: Efficient Exact Learning Algorithms for Road Networks and Other Graphs with Bounded Clustering Degrees. (2022) authored by Michael T. Goodrich. David Eppstein et al.: Wear Minimization for Cuckoo Hashing: How Not to Throw a Lot of Eggs into One Basket. (2014) authored by Michael T. Goodrich. Ramtin Afshar et al.: Reconstructing Biological and Digital Phylogenetic Trees in Parallel. (2020) authored by Michael T. Goodrich. Gill Barequet et al.: Straight Skeletons of Three-Dimensional Polyhedra. (2008) authored by Michael T. Goodrich. Adam L. Buchsbaum et al.: Range Searching Over Tree Cross Products. (2000) authored by Michael T. Goodrich. Matthew Dickerson et al.: K-D Trees Are Better when Cut on the Longest Side. (2000) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: External-Memory Network Analysis Algorithms for Naturally Sparse Graphs. (2011) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Computing k-Modal Embeddings of Planar Digraphs. (2019) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Constructing Disjoint Paths for Secure Communication. (2003) authored by Michael T. Goodrich. Nancy M. Amato et al.: Computing faces in segment and simplex arrangements (Preliminary Version). (1995) authored by Michael T. Goodrich. Michael T. Goodrich: Planar Separators and Parallel Polygon Triangulation (Preliminary Version) (1992) authored by Michael T. Goodrich. Michael T. Goodrich: Communication-Efficient Parallel Sorting (Preliminary Version). (1996) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Dynamic Trees and Dynamic Point Location (Preliminary Version) (1991) authored by Michael T. Goodrich. Frank Thomson Leighton and Michael T. Goodrich: Proceedings of the Twenty-Sixth Annual ACM Symposium on Theory of Computing, 23-25 May 1994, Montréal, Québec, Canada (1994) edited by Michael T. Goodrich. Michael T. Goodrich et al.: Super-Efficient Verification of Dynamic Outsourced Databases. (2008) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Authenticated Data Structures for Graph and Geometric Searching. (2003) authored by Michael T. Goodrich. Michael T. Goodrich: Efficient packet marking for large-scale IP traceback. (2002) authored by Michael T. Goodrich. Michael T. Goodrich: Isogrammic-Fusion ORAM: Improved Statistically Secure Privacy-Preserving Cloud Data Access for Thin Clients. (2018) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Oblivious RAM simulation with efficient worst-case access overhead. (2011) authored by Michael T. Goodrich. Guan Wang et al.: Bureaucratic protocols for secure two-party sorting, selection, and permuting. (2010) authored by Michael T. Goodrich. Stina S. Bridgeman et al.: PILOT: an interactive tool for learning and grading. (2000) authored by Michael T. Goodrich. Stina S. Bridgeman et al.: SAIL: a system for generating, archiving, and retrieving specialized assignments using LATEX. (2000) authored by Michael T. Goodrich. Ramtin Afshar et al.: Noisy Sorting Without Searching: Data Oblivious Sorting with Comparison Errors. (2023) authored by Michael T. Goodrich. Michael T. Goodrich et al.: On the Cost of Persistence and Authentication in Skip Lists. (2007) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Secure Biometric Authentication for Weak Computational Devices. (2005) authored by Michael T. Goodrich. Esha Ghosh et al.: Verifiable Zero-Knowledge Order Queries and Updates for Fully Dynamic Lists and Trees. (2016) authored by Michael T. Goodrich. Michael T. Goodrich: Leap-Frog Packet Linking and Diverse Key Distributions for Improved Integrity in Network Broadcasts. (2005) authored by Michael T. Goodrich. Michael T. Goodrich: The Mastermind Attack on Genomic Data. (2009) authored by Michael T. Goodrich. Michael T. Goodrich: Efficient Piecewise-Linear Function Approximation Using the Uniform Metric. (1995) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Quadratic Time Algorithms Appear to be Optimal for Sorting Evolving Data. (2018) authored by Michael T. Goodrich. Michael T. Goodrich et al.: An Efficient Dynamic and Distributed RSA Accumulator (2009) authored by Michael T. Goodrich. Michael B. Dillencourt et al.: Choosing Colors for Geometric Graphs via Color Space Embeddings (2006) authored by Michael T. Goodrich. Michael T. Goodrich: The Mastermind Attack on Genomic Data (2009) authored by Michael T. Goodrich. Matthew T. Dickerson et al.: Round-Trip Voronoi Diagrams and Doubling Density in Geographic Networks (2010) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Streamed Graph Drawing and the File Maintenance Problem. (2013) authored by Michael T. Goodrich. Christian A. Duncan et al.: Drawing Trees with Perfect Angular Resolution and Polynomial Area (2010) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Knuthian Drawings of Series-Parallel Flowcharts. (2015) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Authenticated Dictionaries for Fresh Attribute Credentials. (2003) authored by Michael T. Goodrich. Michael T. Goodrich: Spin-the-bottle Sort and Annealing Sort: Oblivious Sorting via Round-robin Random Comparisons. (2011) authored by Michael T. Goodrich. Ryan Shaun Baker et al.: Testers and visualizers for teaching data structures. (1999) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Using randomization in the teaching of data structures and algorithms. (1999) authored by Michael T. Goodrich. Michael T. Goodrich and Florian Kerschbaum: Privacy-enhanced reputation-feedback methods to reduce feedback extortion in online auctions. (2011) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Practical oblivious storage. (2012) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Distributed Data Authenication (System Demonstration). (2003) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Efficient and Scalable Infrastructure Support for Dynamic Coalitions. (2003) authored by Michael T. Goodrich. Ramtin Afshar et al.: Reconstructing Binary Trees in Parallel. (2020) authored by Michael T. Goodrich. Michael T. Goodrich: Constructing Arrangements Optimally in Parallel (Preliminary Version). (1991) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Brief announcement: large-scale multimaps. (2011) authored by Michael T. Goodrich. Elaine Angelino et al.: External-Memory Multimaps. (2011) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Biased Skip Lists. (2002) authored by Michael T. Goodrich. David Eppstein et al.: Tracking Paths in Planar Graphs. (2019) authored by Michael T. Goodrich. Michael T. Goodrich and Jonathan Z. Sun: Checking Value-Sensitive Data Structures in Sublinear Space. (2007) authored by Michael T. Goodrich. Michael T. Goodrich and Darren Strash: Succinct Greedy Geometric Routing in the Euclidean Plane. (2009) authored by Michael T. Goodrich. Michael T. Goodrich and Darren Strash: Priority Range Trees. (2010) authored by Michael T. Goodrich. Michael T. Goodrich and Joseph A. Simons: Fully Retroactive Approximate Range and Nearest Neighbor Searching. (2011) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sorting, Searching, and Simulation in the MapReduce Framework. (2011) authored by Michael T. Goodrich. Nil Mamano et al.: New Applications of Nearest-Neighbor Chains: Euclidean TSP and Motorcycle Graphs. (2019) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Efficient Parallel Solutions to Geometric Problems. (1985) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Studying (non-planar) road networks through an algorithmic lens. (2008) authored by Michael T. Goodrich. David Eppstein et al.: Defining Equitable Geographic Districts in Road Networks via Stable Matching. (2017) authored by Michael T. Goodrich. David Eppstein et al.: Going off-road: transversal complexity in road networks. (2009) authored by Michael T. Goodrich. David Eppstein et al.: Privacy-preserving data-oblivious geometric algorithms for geographic data. (2010) authored by Michael T. Goodrich. Michael T. Goodrich: Answering Spatial Multiple-Set Intersection Queries Using 2-3 Cuckoo Hash-Filters. (2017) authored by Michael T. Goodrich. Michael T. Goodrich et al.: A topological algorithm for determining how road networks evolve over time. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Evrim Ozel: Modeling the small-world phenomenon with road networks. (2022) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Two-phase bicriterion search for finding fast and efficient electric vehicle routes. (2014) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Minimum-Width Drawings of Phylogenetic Trees. (2019) authored by Michael T. Goodrich. Michael T. Goodrich: Zig-zag sort: a simple deterministic data-oblivious sorting algorithm running in O(n log n) time. (2014) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Cache-Oblivious Dictionaries and Multimaps with Negligible Failure Probability. (2012) authored by Michael T. Goodrich. David Eppstein et al.: Algorithms for Stable Matching and Clustering in a Grid. (2017) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Notarized Federated Identity Management for Web Services. (2006) authored by Michael T. Goodrich. Giuseppe Ateniese et al.: TRICERT: A Distributed Certified E-Mail Scheme. (2001) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Auditable Data Structures. (2017) authored by Michael T. Goodrich. Giuseppe Ateniese et al.: Accountable Storage. (2017) authored by Michael T. Goodrich. Wenliang Du and Michael T. Goodrich: Searching for High-Value Rare Events with Uncheatable Grid Computing. (2005) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Indexing Information for Data Forensics. (2005) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: Experimental Evidence for the Power of Random Samplings in Practical Parallel Algorithms. (1993) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Approximate Parallel Prefix Computation and its Applications. (1993) authored by Michael T. Goodrich. Gill Barequet et al.: Stable-Matching Voronoi Diagrams: Combinatorial Complexity and Algorithms. (2018) authored by Michael T. Goodrich. Richard Cole et al.: Merging Free Trees in Parallel for Efficient Voronoi Diagram Construction (Preliminary Version). (1990) authored by Michael T. Goodrich. Michael T. Goodrich et al.: An Input-Size/Output-Size Trade-Off in the Time-Complexity of Rectilinear Hidden Surface Removal (Preliminary Version). (1990) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation. (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Anonymous Card Shuffling and Its Applications to Parallel Mixnets. (2012) authored by Michael T. Goodrich. Olga Ohrimenko et al.: The Melbourne Shuffle: Improving Oblivious Storage in the Cloud. (2014) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Optimally Sorting Evolving Data. (2018) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Succinct Greedy Geometric Routing Using Hyperbolic Geometry. (2011) authored by Michael T. Goodrich. Hossam A. ElGindy and Michael T. Goodrich: Parallel algorithms for shortest path problems in polygons. (1988) authored by Michael T. Goodrich. David Eppstein et al.: Approximate topological matching of quad meshes. (2009) authored by Michael T. Goodrich. Michael J. Bannister et al.: Windows into Geometric Events: Data Structures for Time-Windowed Querying of Temporal Point Sets. (2014) authored by Michael T. Goodrich. Gill Barequet et al.: Optimally Confining Lattice Polymers. (2022) authored by Michael T. Goodrich. L. Paul Chew et al.: Geometric Pattern Matching Under Euclidean Motion. (1993) authored by Michael T. Goodrich. Matthew Dickerson and Michael T. Goodrich: Matching points to a convex polygonal boundary. (2001) authored by Michael T. Goodrich. David Eppstein et al.: Geometric Fingerprint Recognition via Oriented Point-Set Pattern Matching. (2018) authored by Michael T. Goodrich. David Eppstein et al.: Set-Difference Range Queries. (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Timothy Johnson: Low Ply Drawings of Trees and 2-Trees. (2018) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Cole's Parametric Search Technique Made Practical. (2013) authored by Michael T. Goodrich. David Eppstein et al.: Extended dynamic subgraph statistics using h-index parameterized data structures. (2012) authored by Michael T. Goodrich. Michael T. Goodrich: Pipelined algorithms to detect cheating in long-term grid computations. (2008) authored by Michael T. Goodrich. Arthur U. Asuncion and Michael T. Goodrich: Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies. (2013) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Straggler Identification in Round-Trip Data Streams via Newton's Identities and Invertible Bloom Filters. (2011) authored by Michael T. Goodrich. Matthew T. Dickerson et al.: Round-Trip Voronoi Diagrams and Doubling Density in Geographic Networks. (2011) authored by Michael T. Goodrich. Michael T. Goodrich: Learning Character Strings via Mastermind Queries, With a Case Study Involving mtDNA. (2012) authored by Michael T. Goodrich. Michael J. Bannister et al.: The Galois Complexity of Graph Drawing: Why Numerical Solutions are Ubiquitous for Force-Directed, Spectral, and Circle Packing Drawings. (2015) authored by Michael T. Goodrich. Matthew Dickerson et al.: Confluent Drawings: Visualizing Non-planar Diagrams in a Planar Way. (2005) authored by Michael T. Goodrich. Christian A. Duncan et al.: Lombardi Drawings of Graphs. (2012) authored by Michael T. Goodrich. Christian A. Duncan et al.: Balanced Aspect Ratio Trees and Their Use for Drawing Large Graphs. (2000) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar Drawings of Higher-Genus Graphs. (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Jack Snoeyink: Stabbing Parallel Segments with a Convex Polygon. (1990) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Verifying Search Results Over Web Collections (2012) authored by Michael T. Goodrich. Marco Liang et al.: On the Optical Accuracy of the Salvator Mundi. (2019) authored by Michael T. Goodrich. David Eppstein et al.: Guard Placement For Wireless Localization (2006) authored by Michael T. Goodrich. David Eppstein et al.: Tracking Paths in Planar Graphs. (2019) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Two-Phase Bicriterion Search for Finding Fast and Efficient Electric Vehicle Routes. (2014) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Data structures and algorithms in Java (3. ed.). (2003) authored by Michael T. Goodrich. David Eppstein et al.: Extended Dynamic Subgraph Statistics Using h-Index Parameterized Data Structures. (2010) authored by Michael T. Goodrich. Ofek Gila et al.: Highway Preferential Attachment Models for Geographic Routing. (2023) authored by Michael T. Goodrich. Michael T. Goodrich and Joseph A. Simons: Data-Oblivious Graph Algorithms in Outsourced External Memory. (2014) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: P-complete geometric problems. (1993) authored by Michael T. Goodrich. David Eppstein et al.: Skip Quadtrees: Dynamic Data Structures for Multidimensional Point Sets. (2008) authored by Michael T. Goodrich. Ashim Garg et al.: Planar upward tree drawings with optimal area. (1996) authored by Michael T. Goodrich. Michael T. Goodrich: An Improved Ray Shooting Method for Constructive Solid Geometry Models Via Tree Contraction. (1998) authored by Michael T. Goodrich. Marina Blanton et al.: Secure and Accurate Summation of Many Floating-Point Numbers. (2023) authored by Michael T. Goodrich. Michael T. Goodrich et al.: More Practical and Secure History-Independent Hash Tables. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Mikhail J. Atallah: On Performing Robust Order Statistics in Tree-Structured Dictionary Machines. (1990) authored by Michael T. Goodrich. Nancy M. Amato et al.: A Randomized Algorithm for Triangulating a Simple Polygon in Linear Time. (2001) authored by Michael T. Goodrich. Gill Barequet et al.: Voronoi Diagrams for Convex Polygon-Offset Distance Functions. (2001) authored by Michael T. Goodrich. Hervé Brönnimann and Michael T. Goodrich: Almost Optimal Set Covers in Finite VC-Dimension. (1995) authored by Michael T. Goodrich. C. C. Cheng et al.: Drawing Planar Graphs with Circular Arcs. (2001) authored by Michael T. Goodrich. Christian A. Duncan et al.: Drawing Trees with Perfect Angular Resolution and Polynomial Area. (2013) authored by Michael T. Goodrich. Michael T. Goodrich: Constructing Arrangement Optimally in Parallel. (1993) authored by Michael T. Goodrich. Michael T. Goodrich and Edgar A. Ramos: Bounded-Independence Derandomization of Geometric Partitioning with Applications to Parallel Fixed-Dimensional Linear Programming. (1997) authored by Michael T. Goodrich. Md. Jawaherul Alam et al.: Balanced Circle Packings for Planar Graphs. (2014) authored by Michael T. Goodrich. Michael T. Goodrich and Florian Kerschbaum: Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Darren Strash: Succinct Greedy Geometric Routing in R^2 (2008) authored by Michael T. Goodrich. Alvin Chiu et al.: Manipulating Weights to Improve Stress-Graph Drawings of 3-Connected Planar Graphs. (2023) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Achieving Good Angular Resolution in 3D Arc Diagrams. (2013) authored by Michael T. Goodrich. Michael T. Goodrich: On the Algorithmic Complexity of the Mastermind Game with Black-Peg Results (2009) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Oblivious RAM Simulation with Efficient Worst-Case Access Overhead (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Anonymous Card Shuffling and its Applications to Parallel Mixnets (2012) authored by Michael T. Goodrich. Olga Ohrimenko et al.: The Melbourne Shuffle: Improving Oblivious Storage in the Cloud. (2014) authored by Michael T. Goodrich. Michael T. Goodrich: Pipelined Algorithms to Detect Cheating in Long-Term Grid Computations (2009) authored by Michael T. Goodrich. Elaine Angelino et al.: External-Memory Multimaps (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Ahmed Eldawy: Parallel Algorithms for Summing Floating-Point Numbers. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Evrim Ozel: Modeling the Small-World Phenomenon with Road Networks. (2022) authored by Michael T. Goodrich. Michael T. Goodrich and Kumar Ramaiyer: Geometric Data Structures. (2000) authored by Michael T. Goodrich. Lars Arge et al.: Skip-webs: efficient distributed data structures for multi-dimensional data sets. (2005) authored by Michael T. Goodrich. David Eppstein et al.: 2-3 Cuckoo Filters for Faster Triangle Listing and Set Intersection. (2017) authored by Michael T. Goodrich. Michael T. Goodrich: Parallel algorithms column 1: models of computation. (1993) authored by Michael T. Goodrich. Elaine Angelino et al.: External-Memory Multimaps. (2013) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Parallel Algorithms for Some Functions of two Convex Polygons. (1988) authored by Michael T. Goodrich. Gill Barequet et al.: Convex-Straight-Skeleton Voronoi Diagrams for Segments and Convex Polygons. (2021) authored by Michael T. Goodrich. Richard Cole and Michael T. Goodrich: Optimal Parallel Algorithms for Point-Set and Polygon Problems. (1992) authored by Michael T. Goodrich. Michael T. Goodrich: Guest Editor's Foreword. (2002) authored by Michael T. Goodrich. Michael T. Goodrich: Spin-the-Bottle Sort and Annealing Sort: Oblivious Sorting via Round-Robin Random Comparisons. (2014) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Constructing the Voronoi Diagram of a Set of Line Segments in Parallel. (1993) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Parallel Methods for Visibility and Shortest-Path Problems in Simple Polygons. (1992) authored by Michael T. Goodrich. Michael T. Goodrich et al.: An Addendum to Parallel Methods for Visibility and Shortest-Path Problems in Simple Polygons. (1993) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Efficient Authenticated Data Structures for Graph Connectivity and Geometric Search Problems. (2011) authored by Michael T. Goodrich. Mark H. Nodine et al.: Blocking for External Graph Searching. (1996) authored by Michael T. Goodrich. Ramtin Afshar et al.: Adaptive Exact Learning in a Mixed-Up World: Dealing with Periodicity, Errors and Jumbled-Index Queries in String Reconstruction. (2020) authored by Michael T. Goodrich. Thomas H. Cormen and Michael T. Goodrich: A Bridging Model for Parallel Computation, Communication, and I/O. (1996) authored by Michael T. Goodrich. William E. Devanny et al.: A competitive analysis for the Start-Gap algorithm for online memory wear leveling. (2021) authored by Michael T. Goodrich. Michael T. Goodrich: Finding the Convex Hull of a Sorted Point Set in Parallel. (1987) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Parallel Algorithms for Evaluating Sequences of Set-Manipulation Operations. (1994) authored by Michael T. Goodrich. Michael T. Goodrich: Randomized Shellsort: A Simple Data-Oblivious Sorting Algorithm. (2011) authored by Michael T. Goodrich. Michael T. Goodrich and S. Rao Kosaraju: Sorting on a Parallel Pointer Machine with Applications to Set Expression Evaluation. (1996) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Loud and Clear: Human-Verifiable Authentication Based on Audio. (2005) authored by Michael T. Goodrich. Shanshan Han et al.: Veil: A Storage and Communication Efficient Volume-Hiding Algorithm. (2023) authored by Michael T. Goodrich. David Eppstein et al.: Motorcycle Graphs: Canonical Quad Mesh Partitioning. (2008) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: MapReduce Parallel Cuckoo Hashing and Oblivious RAM Simulations (2010) authored by Michael T. Goodrich. Michael J. Bannister et al.: Windows into Geometric Events: Data Structures for Time-Windowed Querying of Temporal Point Sets. (2014) authored by Michael T. Goodrich. Michael J. Bannister et al.: Force-Directed Graph Drawing Using Social Gravity and Scaling (2012) authored by Michael T. Goodrich. Michael T. Goodrich: Answering Spatial Multiple-Set Intersection Queries Using 2-3 Cuckoo Hash-Filters. (2017) authored by Michael T. Goodrich. Michael J. Bannister et al.: The Galois Complexity of Graph Drawing: Why Numerical Solutions are Ubiquitous for Force-Directed, Spectral, and Circle Packing Drawings. (2014) authored by Michael T. Goodrich. Giordano Da Lozzo et al.: C-Planarity Testing of Embedded Clustered Graphs with Bounded Dual Carving-Width. (2019) authored by Michael T. Goodrich. David Eppstein et al.: Category-Based Routing in Social Networks: Membership Dimension and the Small-World Phenomenon (Full) (2011) authored by Michael T. Goodrich. Alvin Chiu et al.: Graph Sparsifications using Neural Network Assisted Monte Carlo Tree Search. (2023) authored by Michael T. Goodrich. David Eppstein et al.: Delta-confluent Drawings (2005) authored by Michael T. Goodrich. David Eppstein et al.: The Skip Quadtree: A Simple Dynamic Data Structure for Multidimensional Data (2005) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Data structures and algorithms in C++. (2004) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Algorithm design - foundations, analysis and internet examples. (2002) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Data structures and algorithms in Java. (1998) authored by Michael T. Goodrich. Adam L. Buchsbaum and Michael T. Goodrich: Three-Dimensional Layers of Maxima. (2002) authored by Michael T. Goodrich. William E. Devanny et al.: The Online House Numbering Problem: Min-Max Online List Labeling. (2017) authored by Michael T. Goodrich. Matthew T. Dickerson et al.: Cloning Voronoi Diagrams via Retroactive Data Structures. (2010) authored by Michael T. Goodrich. Mark H. Nodine et al.: Blocking for External Graph Searching. (1993) authored by Michael T. Goodrich. Md. Jawaherul Alam et al.: J-Viz: Finding algorithmic complexity attacks via graph visualization of Java bytecode. (2016) authored by Michael T. Goodrich. Nancy M. Amato et al.: Parallel Algorithms for Higher-Dimensional Convex Hulls (1994) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Cascading Divide-and-Conquer: A Technique for Designing Parallel Algorithms (1987) authored by Michael T. Goodrich. Michael T. Goodrich: Using Approximation Algorithms to Design Parallel Algorithms that May Ignore Processor Allocation (Preliminary Version) (1991) authored by Michael T. Goodrich. Michael T. Goodrich and S. Rao Kosaraju: Sorting on a Parallel Pointer Machine with Applications to Set Expression Evaluation (Preliminary Version) (1989) authored by Michael T. Goodrich. Michael T. Goodrich et al.: External-Memory Computational Geometry (Preliminary Version) (1993) authored by Michael T. Goodrich. David Eppstein et al.: Linear-Time Algorithms for Geometric Graphs with Sublinearly Many Edge Crossings. (2010) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Approximate Geometric Pattern Matching Under Rigid Motions. (1999) authored by Michael T. Goodrich. Michael T. Goodrich: Probabilistic packet marking for large-scale IP traceback. (2008) authored by Michael T. Goodrich. Christian A. Duncan et al.: Balanced Aspect Ratio Trees: Combining the Advantages of k-d Trees and Octrees. (2001) authored by Michael T. Goodrich. Michael T. Goodrich: Triangulating a Polygon in Parallel. (1989) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Dynamic Ray Shooting and Shortest Paths in Planar Subdivisions via Balanced Geodesic Triangulations. (1997) authored by Michael T. Goodrich. Michael T. Goodrich and Christopher G. Wagner: A Framework for Drawing Planar Graphs with Curves and Polylines. (2000) authored by Michael T. Goodrich. Pratibha Choudhary et al.: Improved kernels for tracking paths. (2023) authored by Michael T. Goodrich. Michael B. Dillencourt and Michael T. Goodrich: Simplified Chernoff bounds with powers-of-two probabilities. (2023) authored by Michael T. Goodrich. Michael T. Goodrich: On the algorithmic complexity of the Mastermind game with black-peg results. (2009) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information. (2006) authored by Michael T. Goodrich. Michael T. Goodrich and Daniel S. Hirschberg: Improved adaptive group testing algorithms with applications to multiple access channels and dead sensor diagnosis. (2008) authored by Michael T. Goodrich. Gill Barequet et al.: Stable-matching Voronoi diagrams: Combinatorial complexity and algorithms. (2020) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar and poly-arc Lombardi drawings. (2018) authored by Michael T. Goodrich. Giordano Da Lozzo et al.: C-Planarity Testing of Embedded Clustered Graphs with Bounded Dual Carving-Width. (2019) authored by Michael T. Goodrich. YounSun Cho et al.: LAAC: A Location-Aware Access Control Protocol. (2006) authored by Michael T. Goodrich. Gill Barequet et al.: Offset-polygon annulus placement problems. (1998) authored by Michael T. Goodrich. Timothy M. Chan et al.: Optimizing area and aspect ration in straight-line orthogonal tree drawings. (2002) authored by Michael T. Goodrich. L. Paul Chew et al.: Geometric Pattern Matching Under Euclidean Motion. (1997) authored by Michael T. Goodrich. Gautam Das and Michael T. Goodrich: On the Complexity of Optimization Problems for 3-dimensional Convex Polyhedra and Decision Trees. (1997) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planarity-preserving clustering and embedding for large planar graphs. (2003) authored by Michael T. Goodrich. Pawel Gajer et al.: A multi-dimensional approach to force-directed layouts of large graphs. (2004) authored by Michael T. Goodrich. Mujtaba R. Ghouse and Michael T. Goodrich: Fast Randomized Parallel Methods for Planar Convex Hull Construction. (1997) authored by Michael T. Goodrich. Michael T. Goodrich: Editorial. (2000) authored by Michael T. Goodrich. Michael T. Goodrich: Constructing the Convex Hull of a Partially Sorted Set of Points. (1992) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Biased Skip Lists. (2005) authored by Michael T. Goodrich. Gill Barequet et al.: Efficiently Approximating Polygonal Paths in Three and Higher Dimensions. (2002) authored by Michael T. Goodrich. Adam L. Buchsbaum and Michael T. Goodrich: Three-Dimensional Layers of Maxima. (2004) authored by Michael T. Goodrich. Richard Cole et al.: A Nearly Optimal Deterministic Parallel Voroni Diagram Algorithm. (1996) authored by Michael T. Goodrich. David Eppstein et al.: Confluent Layered Drawings. (2007) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sweep Methods for Parallel Computational Geometry. (1996) authored by Michael T. Goodrich. Giordano Da Lozzo et al.: C-Planarity Testing of Embedded Clustered Graphs with Bounded Dual Carving-Width. (2021) authored by Michael T. Goodrich. Giuseppe Ateniese et al.: Accountable Storage. (2014) authored by Michael T. Goodrich. Gill Barequet et al.: Drawing Planar Graphs with Large Vertices and Thick Edges. (2004) authored by Michael T. Goodrich. Erin W. Chambers et al.: Drawing Graphs in the Plane with a Prescribed Outer Face and Polynomial Area. (2012) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Notarized federated ID management and authentication. (2008) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Deterministic sampling and range counting in geometric data streams. (2007) authored by Michael T. Goodrich. Gill Barequet et al.: Contour interpolation by straight skeletons. (2004) authored by Michael T. Goodrich. Michael T. Goodrich: A polygonal approach to hidden-line and hidden-surface elimination. (1992) authored by Michael T. Goodrich. Matthew Dickerson et al.: Confluent Drawings: Visualizing Non-planar Diagrams in a Planar Way (2002) authored by Michael T. Goodrich. Michael T. Goodrich: Randomized Shellsort: A Simple Oblivious Sorting Algorithm (2009) authored by Michael T. Goodrich. Michael T. Goodrich: Simulating Parallel Algorithms in the MapReduce Framework with Applications to Parallel Computational Geometry (2010) authored by Michael T. Goodrich. David Eppstein et al.: Category-Based Routing in Social Networks: Membership Dimension and the Small-World Phenomenon (Short) (2011) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Efficient Authenticated Data Structures for Graph Connectivity and Geometric Search Problems (2009) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Fully De-Amortized Cuckoo Hashing for Cache-Oblivious Dictionaries and Multimaps (2011) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar Drawings of Higher-Genus Graphs (2009) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Data-Oblivious Graph Drawing Model and Algorithms (2012) authored by Michael T. Goodrich. Ofek Gila et al.: Zip-zip Trees: Making Zip Trees More Balanced, Biased, Compact, or Persistent. (2023) authored by Michael T. Goodrich. David Eppstein et al.: Wear Minimization for Cuckoo Hashing: How Not to Throw a Lot of Eggs into One Basket. (2014) authored by Michael T. Goodrich. Michael T. Goodrich: Data-Oblivious External-Memory Algorithms for the Compaction, Selection, and Sorting of Outsourced Data (2011) authored by Michael T. Goodrich. Michael T. Goodrich and Michael Mitzenmacher: Invertible Bloom Lookup Tables (2011) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Scheduling Autonomous Vehicle Platoons Through an Unregulated Intersection. (2016) authored by Michael T. Goodrich. David Eppstein et al.: Improved Combinatorial Group Testing Algorithms for Real-World Problem Sizes (2005) authored by Michael T. Goodrich. Michael T. Goodrich: Zig-zag Sort: A Simple Deterministic Data-Oblivious Sorting Algorithm Running in O(n log n) Time. (2014) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Succinct Greedy Graph Drawing in the Hyperbolic Plane (2008) authored by Michael T. Goodrich. Ramtin Afshar et al.: Mapping Networks via Parallel kth-Hop Traceroute Queries. (2022) authored by Michael T. Goodrich. Lars Arge et al.: Parallel external memory graph algorithms. (2010) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Parallel Algorithms for Evaluating Sequences of Set-Manipulation Operations. (1988) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Cascading Divide-and-Conquer: A Technique for Designing Parallel Algorithms. (1989) authored by Michael T. Goodrich. David Eppstein et al.: Improved Combinatorial Group Testing Algorithms for Real-World Problem Sizes. (2007) authored by Michael T. Goodrich. Michael T. Goodrich: Intersecting Line Segments in Parallel with an Output-Sensitive Number of Processors. (1991) authored by Michael T. Goodrich. Michael T. Goodrich: Communication-Efficient Parallel Sorting. (1999) authored by Michael T. Goodrich. Michael T. Goodrich and Roberto Tamassia: Dynamic Trees and Dynamic Point Location. (1998) authored by Michael T. Goodrich. David Eppstein et al.: Category-based routing in social networks: Membership dimension and the small-world phenomenon. (2013) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Efficient Verification of Web-Content Searching Through Authenticated Web Crawlers. (2012) authored by Michael T. Goodrich. John K. Johnstone and Michael T. Goodrich: A localized method for intersecting plane algebraic curve segments. (1991) authored by Michael T. Goodrich. Esha Ghosh et al.: Fully-Dynamic Verifiable Zero-Knowledge Order Queries for Network Data. (2015) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Auditable Data Structures. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: Cole's Parametric Search Technique Made Practical. (2013) authored by Michael T. Goodrich. David Eppstein et al.: Confluent Layered Drawings (2005) authored by Michael T. Goodrich. Arthur U. Asuncion and Michael T. Goodrich: Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies (2010) authored by Michael T. Goodrich. David Eppstein et al.: Tracking Moving Objects with Few Handovers (2011) authored by Michael T. Goodrich. David Eppstein et al.: Set-Difference Range Queries. (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Timothy Johnson: Low Ply Drawings of Trees and 2-Trees. (2018) authored by Michael T. Goodrich. David Eppstein et al.: Geometric Fingerprint Recognition via Oriented Point-Set Pattern Matching. (2018) authored by Michael T. Goodrich. Michael T. Goodrich and Joseph A. Simons: Data-Oblivious Graph Algorithms in Outsourced External Memory. (2014) authored by Michael T. Goodrich. David Eppstein et al.: Combinatorial Pair Testing: Distinguishing Workers from Slackers (2013) authored by Michael T. Goodrich. Michael T. Goodrich and Daniel S. Hirschberg: Improved Adaptive Group Testing Algorithms with Applications to Multiple Access Channels and Dead Sensor Diagnosis (2009) authored by Michael T. Goodrich. Michael T. Goodrich and Pawel Pszona: External-Memory Network Analysis Algorithms for Naturally Sparse Graphs (2011) authored by Michael T. Goodrich. Ramtin Afshar and Michael T. Goodrich: Exact Learning of Multitrees and Almost-Trees Using Path Queries. (2022) authored by Michael T. Goodrich. Michael T. Goodrich et al.: A Topological Algorithm for Determining How Road Networks Evolve Over Time. (2016) authored by Michael T. Goodrich. William E. Devanny et al.: Parallel Equivalence Class Sorting: Algorithms, Lower Bounds, and Distribution-Based Analysis. (2016) authored by Michael T. Goodrich. David Eppstein et al.: Defining Equitable Geographic Districts in Road Networks via Stable Matching. (2017) authored by Michael T. Goodrich. Gill Barequet et al.: Stable-Matching Voronoi Diagrams: Combinatorial Complexity and Algorithms. (2018) authored by Michael T. Goodrich. Wenliang Du et al.: On the Approximability of Geometric and Geographic Generalization and the Min-Max Bin Covering Problem (2009) authored by Michael T. Goodrich. David Eppstein et al.: Reactive Proximity Data Structures for Graphs. (2018) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Output-Sensitive Methods for Rectilinear Hidden Surface Removal (1993) authored by Michael T. Goodrich. Gill Barequet et al.: Optimizing a constrained convex polygonal annulus. (2005) authored by Michael T. Goodrich. Gill Barequet et al.: GeomNet: Geometric Computing Over the Internet. (1999) authored by Michael T. Goodrich. Michael T. Goodrich: Planar Separators and Parallel Polygon Triangulation. (1995) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Using audio in secure device pairing. (2009) authored by Michael T. Goodrich. Mikhail J. Atallah and Michael T. Goodrich: Efficient Parallel Solutions to Some Geometric Problems. (1986) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Oblivious Storage with Low I/O Overhead (2011) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Computing k-Modal Embeddings of Planar Digraphs. (2019) authored by Michael T. Goodrich. Fattaneh Bayatbabolghani et al.: Secure Fingerprint Alignment and Matching Protocols. (2017) authored by Michael T. Goodrich. Matthew T. Dickerson et al.: Cloning Voronoi Diagrams via Retroactive Data Structures (2010) authored by Michael T. Goodrich. Shanshan Han et al.: Hiding Access-pattern is Not Enough! Veil: A Storage and Communication Efficient Volume-Hiding Algorithm. (2023) authored by Michael T. Goodrich. David Eppstein et al.: Models and Algorithms for Graph Watermarking. (2016) authored by Michael T. Goodrich. Michael T. Goodrich and Darren Strash: Priority Range Trees (2010) authored by Michael T. Goodrich. Michael T. Goodrich: BIOS ORAM: Improved Privacy-Preserving Data Access for Parameterized Outsourced Storage. (2017) authored by Michael T. Goodrich. Michael T. Goodrich and Joseph A. Simons: Fully Retroactive Approximate Range and Nearest Neighbor Searching (2011) authored by Michael T. Goodrich. Shion Fukuzawa et al.: Quantum Tutte Embeddings. (2023) authored by Michael T. Goodrich. David Eppstein et al.: Going Off-road: Transversal Complexity in Road Networks (2009) authored by Michael T. Goodrich. David Eppstein et al.: Extended h-Index Parameterized Data Structures for Computing Dynamic Subgraph Statistics (2010) authored by Michael T. Goodrich. Christian A. Duncan et al.: Planar and Poly-Arc Lombardi Drawings (2011) authored by Michael T. Goodrich. Md. Jawaherul Alam et al.: J-Viz: Sibling-First Recursive Graph Drawing for Visualizing Java Bytecode. (2016) authored by Michael T. Goodrich. Michael T. Goodrich: Spin-the-bottle Sort and Annealing Sort: Oblivious Sorting via Round-robin Random Comparisons (2010) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Privacy-Preserving Group Data Access via Stateless Oblivious RAM Simulation (2011) authored by Michael T. Goodrich. David Eppstein et al.: Privacy-Enhanced Methods for Comparing Compressed DNA Sequences (2011) authored by Michael T. Goodrich. Ramtin Afshar et al.: Adaptive Exact Learning in a Mixed-Up World: Dealing with Periodicity, Errors, and Jumbled-Index Queries in String Reconstruction. (2020) authored by Michael T. Goodrich. Lars Arge et al.: Skip-Webs: Efficient Distributed Data Structures for Multi-Dimensional Data Sets (2005) authored by Michael T. Goodrich. Md. Jawaherul Alam et al.: Capturing Lombardi Flow in Orthogonal Drawings by Minimizing the Number of Segments. (2016) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Studying (Non-Planar) Road Networks Through an Algorithmic Lens (2008) authored by Michael T. Goodrich. Mikhail J. Atallah et al.: Discrepancy-Sensitive Dynamic Fractional Cascading, Dominated Maxima Searching, and 2-d Nearest Neighbors in Any Minkowski Metric (2009) authored by Michael T. Goodrich. Gill Barequet et al.: Diamonds are Forever in the Blockchain: Geometric Polyhedral Point-Set Pattern Matching. (2022) authored by Michael T. Goodrich. Christian A. Duncan et al.: Lombardi Drawings of Graphs (2010) authored by Michael T. Goodrich. David Eppstein and Michael T. Goodrich: Space-Efficient Straggler Identification in Round-Trip Data Streams via Newton's Identities and Invertible Bloom Filters (2007) authored by Michael T. Goodrich. David Eppstein et al.: Privacy-Preserving Data-Oblivious Geometric Algorithms for Geographic Data (2010) authored by Michael T. Goodrich. Marina Blanton et al.: Secure and Accurate Summation of Many Floating-Point Numbers. (2023) authored by Michael T. Goodrich. Michael T. Goodrich et al.: The Rainbow Skip Graph: A Fault-Tolerant Constant-Degree P2P Relay Structure (2009) authored by Michael T. Goodrich. Giordano Da Lozzo et al.: Subexponential-Time and FPT Algorithms for Embedded Flat Clustered Planarity. (2018) authored by Michael T. Goodrich. David Eppstein et al.: Linear-Time Algorithms for Geometric Graphs with Sublinearly Many Crossings (2008) authored by Michael T. Goodrich. Alon Efrat et al.: Euclidean TSP, Motorcycle Graphs, and Other New Applications of Nearest-Neighbor Chains. (2019) authored by Michael T. Goodrich. Michael T. Goodrich et al.: Sorting, Searching, and Simulation in the MapReduce Framework (2011) authored by Michael T. Goodrich. Juan José Besa Vial et al.: Optimally Sorting Evolving Data. (2018) authored by Michael T. Goodrich. Amitabha Bagchi et al.: Deterministic Sampling and Range Counting in Geometric Data Streams (2003) authored by Michael T. Goodrich. David Eppstein et al.: Algorithms for Stable Matching and Clustering in a Grid. (2017) authored by Michael T. Goodrich. Ramtin Afshar et al.: Reconstructing Biological and Digital Phylogenetic Trees in Parallel. (2020) authored by Michael T. Goodrich. Gill Barequet et al.: Straight Skeletons of Three-Dimensional Polyhedra (2008) authored by Michael T. Goodrich. Erin W. Chambers et al.: Drawing Graphs in the Plane with a Prescribed Outer Face and Polynomial Area (2010) authored by Michael T. Goodrich. Michael T. Goodrich et al.: How to Catch Marathon Cheaters: New Approximation Algorithms for Tracking Paths. (2021) authored by Michael T. Goodrich{'author_wikipedia_text': \\\"Michael T. Goodrich is a mathematician and computer scientist. He is a distinguished professor of computer science and the former chair of the department of computer science in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine.\\\\nHe received his B.A. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987 under the supervision of Mikhail Atallah. He then served as a professor in the Department of Computer Science at Johns Hopkins University until 2001 and has since been a Chancellor's Professor at the University of California, Irvine in the Donald Bren School of Information and Computer Sciences.\\\\nGoodrich is a Fellow of the American Association for the Advancement of Science, a Fulbright Scholar, a Fellow of the IEEE, and a Fellow of the Association for Computing Machinery. In 2018 he was elected as a foreign member of the Royal Danish Academy of Sciences and Letters.\\\\nHe is also a recipient of the IEEE Computer Society Technical Achievement Award in 2006,\\\\nthe DARPA Spirit of Technology Transfer Award,[citation needed]\\\\nand the ACM Recognition of Service Award.[citation needed]\\\"}\",\n \"verbalizer_on_all_triples\": \"Michael T. Goodrich wrote 21 papers in 2012.\\nMichael T. Goodrich wrote 24 papers in 2013.\\nMichael T. Goodrich wrote 20 papers in 2014.\\nMichael T. Goodrich wrote 6 papers in 2015.\\nMichael T. Goodrich wrote 19 papers in 2016.\\nMichael T. Goodrich wrote 19 papers in 2017.\\nMichael T. Goodrich has written paper amount in year2018: 21.\\nMichael T. Goodrich's written paper amount in year 2019 is 11 pages.\\nMichael T. Goodrich has a written paper amount of 9 in year2020.\\nMichael T. Goodrich has written paper amount in year2021: 11.\\nMichael T. Goodrich wrote 6 papers in 2022.\\nMichael T. Goodrich wrote 10 papers in 2023.\\nMichael T. Goodrich has a 2YrMeanCitedness of 0.34999999403953552246.\\nMichael T. Goodrich is affiliated with University of California, Irvine, USA.\\nMichael T. Goodrich is also known as Michael Truman Goodrich. He is also known as M. T. Goodrich.\\nMichael T. Goodrich and S. Rao Kosaraju: Sorting on a Parallel Pointer Machine with Applications to Set Expression Evaluation. (1996), Christian A. Duncan et al.: Planar and Poly-Arc Lombardi Drawings (2011), Marina Blanton et al.: Secure and Accurate Summation of Many Floating-Point Numbers. (2023), Yi-Jen Chiang et al.: External-Memory Graph Algorith\\nMichael T. Goodrich is cited by ByCount 8845.\\nMichael T. Goodrich and Michael Mitzenmacher: Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments, ALENEX 2016, Arlington, Virginia, USA, January 10, 2016 (2016). Michael T. Goodrich and Stephen G. Kobourov: Graph Drawing, 10th International Symposium, GD 2002, Irvine, CA, USA, August 26-28, 2002, Revised Papers (2002) were edited by Michael T. Goodrich and Catherine C. McGeoch: Algorithm Engineering and Ex\\nMichael T. Goodrich has an h-index of 48.\\nMichael T. Goodrich's i10Index is 194.\\nMichael T. Goodrich is the creator and the author of Michael T. Goodrich.\\nMichael T. Goodrich has a link \\\"https://en.wikipedia.org/wiki/Michael_T._Goodrich, https://arxiv.org/a/goodrich_m_1, http://www.ics.uci.edu/<unk>goodrich/, https://mathscinet.ams.org/mathscinet/MRAuthorID/249400, http://www.wikidata.org/entity/Q15995102, https://\\nMichael T. Goodrich is a member of the University of California, Irvine.\\nMichael T. Goodrich was modified on 2023-10-18.\\nMichael T. Goodrich's name is Michael T. Goodrich.\\nMichael T. Goodrich's orcidId is https://orcid.org/0000-0002-8943-191X.\\nMichael T. Goodrich is affiliated with the University of California, Irvine, USA.\\nMichael T. Goodrich has 583 works.{'author_wikipedia_text': \\\"Michael T. Goodrich is a mathematician and computer scientist. He is a distinguished professor of computer science and the former chair of the department of computer science in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine.\\\\nHe received his B.A. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987 under the supervision of Mikhail Atallah. He then served as a professor in the Department of Computer Science at Johns Hopkins University until 2001 and has since been a Chancellor's Professor at the University of California, Irvine in the Donald Bren School of Information and Computer Sciences.\\\\nGoodrich is a Fellow of the American Association for the Advancement of Science, a Fulbright Scholar, a Fellow of the IEEE, and a Fellow of the Association for Computing Machinery. In 2018 he was elected as a foreign member of the Royal Danish Academy of Sciences and Letters.\\\\nHe is also a recipient of the IEEE Computer Society Technical Achievement Award in 2006,\\\\nthe DARPA Spirit of Technology Transfer Award,[citation needed]\\\\nand the ACM Recognition of Service Award.[citation needed]\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Michael T. Goodrich et al.: Generalized Sweep Methods for Parallel Computational Geometry. (1990), Mujtaba R. Ghouse and Michael T. Goodrich: In-Place Techniques for Parallel Convex Hull Algorithms (Preliminary Version). (1991), Richard Cole and Michael T. Goodrich: Optimal Parallel Algorithms for Point-Set and Polygon Problems. (1992), Nancy M. Am\\\\nGoodrich is a Fellow of the American Association for the Advancement of Science, a Fulbright Scholar, a Fellow of the IEEE, and a Fellow of the Association for Computing Machinery. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987 under the supervision of Mikhail Atallah\"\n}"}}},{"rowIdx":70,"cells":{"id":{"kind":"string","value":"a27ead6f-4054-47a0-aac2-f5233a326c9a"},"triples_number":{"kind":"number","value":111,"string":"111"},"question":{"kind":"string","value":"What is the cited by count for the institution of the author who published 'A probabilistic framework for inferring ancestral genomic orders' in the BIBM conference in 2010?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"8.7857141494750976562\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"University of California at Santa Cruz, CA, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Jian Ma 0004\"\n },\n {\n \"object\": \"University of Illinois at Urbana-Champaign, IL, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Jian Ma 0004\"\n },\n {\n \"object\": \"Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Jian Ma 0004\"\n },\n {\n \"object\": \"Pennsylvania State University, PA, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Jian Ma 0004\"\n },\n {\n \"object\": \"Jian Ma\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"Feng Jian\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"Jian Feng\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jian Ma\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jian Ma: A probabilistic framework for inferring ancestral genomic orders. (2010)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jinghui Chen et al.: Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Vaishnavi Subramanian et al.: Integration of Spatial Distribution in Imaging-Genetics. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Anand Ramachandran et al.: FPGA accelerated DNA error correction. (2015)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pan Xu et al.: Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization. (2017)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benjamin Chidester et al.: Discriminative bag-of-cells for imaging-genomics. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shashank Singh et al.: Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Feifei He et al.: Identifying micro-inversions using high-throughput sequencing reads. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Xiaolong Wu et al.: TIGER: tiled iterative genome assembler. (2012)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jian Ma: Guest Editorial for Selected Papers From ACM-BCB 2019. (2022)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaebum Kim and Jian Ma: PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling - (Extended Abstract). (2011)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yang Li et al.: TrueSight: Self-training Algorithm for Splice Junction Detection Using RNA-seq. (2012)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Guoliang Li et al.: Selecting Genomes for Reconstruction of Ancestral Genomes. (2007)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yang Li et al.: Allele-Specific Quantification of Structural Variations in Cancer Genomes. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jian Ma et al.: A Heuristic Algorithm for Reconstructing Ancestral Gene Orders with Duplications. (2007)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benedict Paten et al.: Cactus Graphs for Genome Comparisons. (2010)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ashok Rajaraman and Jian Ma: Towards Recovering Allele-Specific Cancer Genome Graphs. (2017)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yang Yang et al.: Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yang Yang et al.: Concert: Genome-Wide Prediction of Sequence Elements That Modulate DNA Replication Timing. (2022)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yang Yang et al.: Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF. (2019)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruochi Zhang and Jian Ma: Probing Multi-way Chromatin Interaction with Hypergraph Representation Learning. (2020)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruochi Zhang et al.: Ultrafast and Interpretable Single-Cell 3D Genome Analysis with Fast-Higashi. (2022)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yifeng Tao et al.: Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases. (2019)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruochi Zhang et al.: Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (2020)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benjamin Chidester et al.: Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation. (2019)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yun Heo et al.: BLESS 2: accurate, memory-efficient and fast error correction method. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yifeng Tao et al.: Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis. (2020)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Muyu Yang and Jian Ma: UNADON: transformer-based model to predict genome-wide chromosome spatial position. (2023)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jack P. Hou et al.: A new correlation clustering method for cancer mutation analysis. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Muyu Yang and Jian Ma: UNADON: Transformer-based model to predict genome-wide chromosome spatial position. (2023)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Vaishnavi Subramanian et al.: Correlating cellular features with gene expression using CCA. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael P. Snyder et al.: The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. (2019)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chris Bryan et al.: Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution. (2017)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"S. M. Hossein Tabatabaei Yazdi et al.: DNA-Based Storage: Trends and Methods. (2015)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ashok Rajaraman and Jian Ma: Reconstructing ancestral gene orders with duplications guided by synteny level genome reconstruction. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benjamin Chidester et al.: Rotation equivariant and invariant neural networks for microscopy image analysis. (2019)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jack P. Hou et al.: A new correlation clustering method for cancer mutation analysis. (2016)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaebum Kim and Jian Ma: PSAR-Align: improving multiple sequence alignment using probabilistic sampling. (2014)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yiyi Liu et al.: A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression. (2014)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Neeraj Kumar et al.: A Multi-Organ Nucleus Segmentation Challenge. (2020)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruochi Zhang et al.: Predicting CTCF-mediated chromatin loops using CTCF-MP. (2018)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pan Xu et al.: Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations. (2017)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"S. M. Hossein Tabatabaei Yazdi et al.: DNA-Based Storage: Trends and Methods. (2015)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"S. M. Hossein Tabatabaei Yazdi et al.: A Rewritable, Random-Access DNA-Based Storage System. (2015)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jian Ma et al.: The infinite sites model of genome evolution. (2008)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaebum Kim et al.: Reference-assisted chromosome assembly. (2013)\"\n },\n {\n \"object\": \"Jian Ma 0004\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yun Heo et al.: BLESS: Bloom filter-based error correction solution for high-throughput sequencing reads. 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(2010) authored by Jian Ma 0004. Guoliang Li et al.: Selecting Genomes for Reconstruction of Ancestral Genomes. (2007) authored by Jian Ma 0004. Jian Ma et al.: A Heuristic Algorithm for Reconstructing Ancestral Gene Orders with Duplications. (2007) authored by Jian Ma 0004. Jian Ma: Reconstructing the History of Large-Scale Genomic Changes: Biological Questions and Computational Challenges. (2011) authored by Jian Ma 0004. Jian Ma et al.: The infinite sites model of genome evolution. (2008) authored by Jian Ma 0004. Ashok Rajaraman and Jian Ma: Reconstructing ancestral gene orders with duplications guided by synteny level genome reconstruction. (2016) authored by Jian Ma 0004. Benedict Paten et al.: Cactus Graphs for Genome Comparisons. (2010) authored by Jian Ma 0004. Benedict Paten et al.: Cactus Graphs for Genome Comparisons. (2011) authored by Jian Ma 0004. Jaebum Kim et al.: Reference-assisted chromosome assembly. (2013) authored by Jian Ma 0004. Jaebum Kim and Jian Ma: PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling - (Extended Abstract). (2011) authored by Jian Ma 0004. Jian Ma citedByCount 2694 Since 2018, Christian Ringle has been included in the Clarivate Analytics' highly cited researchers list. {'author_wikipedia_text': \\\"Christian M\",\n \"plain\": \"Jian Ma is Author. Jian Ma modified 2023-10-18. Jian Ma citedByCount 2694. Jian Ma written paper amount in year2012: 1. Jian Ma written paper amount in year2012: 1. Jian Ma written paper amount in year2013: 2. Jian Ma written paper amount in year2013: 2. Jian Ma written paper amount in year2014: 6. Jian Ma written paper amount in year2014: 6. Jian Ma written paper amount in year2015: 2. Jian Ma written paper amount in year2015: 2. Jian Ma written paper amount in year2016: 3. Jian Ma written paper amount in year2016: 3. Jian Ma written paper amount in year2017: 2. Jian Ma written paper amount in year2017: 2. Jian Ma written paper amount in year2018: 4. Jian Ma written paper amount in year2018: 4. Jian Ma written paper amount in year2019: 7. Jian Ma written paper amount in year2019: 7. Jian Ma written paper amount in year2020: 11. Jian Ma written paper amount in year2020: 11. Jian Ma written paper amount in year2021: 3. Jian Ma written paper amount in year2021: 3. Jian Ma written paper amount in year2022: 12. Jian Ma written paper amount in year2022: 12. Jian Ma written paper amount in year2023: 6. Jian Ma written paper amount in year2023: 6. Jian Ma worksCount 69. Jian Ma name Jian Ma. Jian Ma member of Carnegie Mellon University. Jian Ma h-index 26. Jian Ma 2YrMeanCitedness 8.7857141494750976562. Jian Ma alternativeName Jian Ma. Jian Ma alternativeName Feng Jian. Jian Ma alternativeName Jian Feng. Jian Ma i10Index 43. Jian Ma orcidId https://orcid.org/0000-0002-4202-5834. Jian Ma 0004 is Creator. Jian Ma 0004 is Person. Jian Ma 0004 link http://www.wikidata.org/entity/Q62484740. Jian Ma 0004 affiliation University of California at Santa Cruz, CA, USA. Jian Ma 0004 affiliation University of Illinois at Urbana-Champaign, IL, USA. Jian Ma 0004 affiliation Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA. Jian Ma 0004 affiliation Pennsylvania State University, PA, USA. Jian Ma 0004 link http://www.cs.cmu.edu/~jianma/. Jian Ma 0004 primary affiliation Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA. Jian Ma 0004 link http://www.cs.cmu.edu/~jianma/. Jian Ma 0004 link https://twitter.com/jmuiuc. Jian Ma 0004 link https://scholar.google.com/citations?user=nDw9v78AAAAJ. Jian Ma 0004 link https://en.wikipedia.org/wiki/Jian_Ma_(computer_scientist). Jian Ma: A probabilistic framework for inferring ancestral genomic orders. (2010) authored by Jian Ma 0004. Jinghui Chen et al.: Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. (2018) authored by Jian Ma 0004. Vaishnavi Subramanian et al.: Integration of Spatial Distribution in Imaging-Genetics. (2018) authored by Jian Ma 0004. Anand Ramachandran et al.: FPGA accelerated DNA error correction. (2015) authored by Jian Ma 0004. Pan Xu et al.: Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization. (2017) authored by Jian Ma 0004. Benjamin Chidester et al.: Discriminative bag-of-cells for imaging-genomics. (2018) authored by Jian Ma 0004. Shashank Singh et al.: Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning. (2018) authored by Jian Ma 0004. Feifei He et al.: Identifying micro-inversions using high-throughput sequencing reads. (2016) authored by Jian Ma 0004. Xiaolong Wu et al.: TIGER: tiled iterative genome assembler. (2012) authored by Jian Ma 0004. Jian Ma: Guest Editorial for Selected Papers From ACM-BCB 2019. (2022) authored by Jian Ma 0004. Xinghua Mindy Shi et al.: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2019, Niagara Falls, NY, USA, September 7-10, 2019. (2019) edited by Jian Ma 0004. Jaebum Kim and Jian Ma: PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling - (Extended Abstract). (2011) authored by Jian Ma 0004. Yang Li et al.: TrueSight: Self-training Algorithm for Splice Junction Detection Using RNA-seq. (2012) authored by Jian Ma 0004. Guoliang Li et al.: Selecting Genomes for Reconstruction of Ancestral Genomes. (2007) authored by Jian Ma 0004. Yang Li et al.: Allele-Specific Quantification of Structural Variations in Cancer Genomes. (2016) authored by Jian Ma 0004. Jian Ma et al.: A Heuristic Algorithm for Reconstructing Ancestral Gene Orders with Duplications. (2007) authored by Jian Ma 0004. Benedict Paten et al.: Cactus Graphs for Genome Comparisons. (2010) authored by Jian Ma 0004. Ashok Rajaraman and Jian Ma: Towards Recovering Allele-Specific Cancer Genome Graphs. (2017) authored by Jian Ma 0004. Yang Yang et al.: Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data. (2018) authored by Jian Ma 0004. Yang Yang et al.: Concert: Genome-Wide Prediction of Sequence Elements That Modulate DNA Replication Timing. (2022) authored by Jian Ma 0004. Yang Yang et al.: Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF. (2019) authored by Jian Ma 0004. Ruochi Zhang and Jian Ma: Probing Multi-way Chromatin Interaction with Hypergraph Representation Learning. (2020) authored by Jian Ma 0004. Ruochi Zhang et al.: Ultrafast and Interpretable Single-Cell 3D Genome Analysis with Fast-Higashi. (2022) authored by Jian Ma 0004. Yifeng Tao et al.: Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases. (2019) authored by Jian Ma 0004. Ruochi Zhang et al.: Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (2020) authored by Jian Ma 0004. Benjamin Chidester et al.: Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation. (2019) authored by Jian Ma 0004. Yun Heo et al.: BLESS 2: accurate, memory-efficient and fast error correction method. (2016) authored by Jian Ma 0004. Yifeng Tao et al.: Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis. (2020) authored by Jian Ma 0004. Muyu Yang and Jian Ma: UNADON: transformer-based model to predict genome-wide chromosome spatial position. (2023) authored by Jian Ma 0004. Jack P. Hou et al.: A new correlation clustering method for cancer mutation analysis. (2016) authored by Jian Ma 0004. Muyu Yang and Jian Ma: UNADON: Transformer-based model to predict genome-wide chromosome spatial position. (2023) authored by Jian Ma 0004. Vaishnavi Subramanian et al.: Correlating cellular features with gene expression using CCA. (2018) authored by Jian Ma 0004. Michael P. Snyder et al.: The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. (2019) authored by Jian Ma 0004. Chris Bryan et al.: Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution. (2017) authored by Jian Ma 0004. S. M. Hossein Tabatabaei Yazdi et al.: DNA-Based Storage: Trends and Methods. (2015) authored by Jian Ma 0004. Ashok Rajaraman and Jian Ma: Reconstructing ancestral gene orders with duplications guided by synteny level genome reconstruction. (2016) authored by Jian Ma 0004. Benjamin Chidester et al.: Rotation equivariant and invariant neural networks for microscopy image analysis. (2019) authored by Jian Ma 0004. Jack P. Hou et al.: A new correlation clustering method for cancer mutation analysis. (2016) authored by Jian Ma 0004. Jaebum Kim and Jian Ma: PSAR-Align: improving multiple sequence alignment using probabilistic sampling. (2014) authored by Jian Ma 0004. Yiyi Liu et al.: A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression. (2014) authored by Jian Ma 0004. Neeraj Kumar et al.: A Multi-Organ Nucleus Segmentation Challenge. (2020) authored by Jian Ma 0004. Ruochi Zhang et al.: Predicting CTCF-mediated chromatin loops using CTCF-MP. (2018) authored by Jian Ma 0004. Pan Xu et al.: Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations. (2017) authored by Jian Ma 0004. S. M. Hossein Tabatabaei Yazdi et al.: DNA-Based Storage: Trends and Methods. (2015) authored by Jian Ma 0004. S. M. Hossein Tabatabaei Yazdi et al.: A Rewritable, Random-Access DNA-Based Storage System. (2015) authored by Jian Ma 0004. Jian Ma et al.: The infinite sites model of genome evolution. (2008) authored by Jian Ma 0004. Jaebum Kim et al.: Reference-assisted chromosome assembly. (2013) authored by Jian Ma 0004. Yun Heo et al.: BLESS: Bloom filter-based error correction solution for high-throughput sequencing reads. (2014) authored by Jian Ma 0004. Yang Yang et al.: Exploiting sequence-based features for predicting enhancer-promoter interactions. (2017) authored by Jian Ma 0004. Yang Zhang et al.: Cancer mutational signatures representation by large-scale context embedding. (2020) authored by Jian Ma 0004. Yang Li et al.: FusionHunter: identifying fusion transcripts in cancer using paired-end RNA-seq. (2011) authored by Jian Ma 0004. Benjamin Chidester et al.: Rotation Equivariance and Invariance in Convolutional Neural Networks. (2018) authored by Jian Ma 0004. Ruochi Zhang et al.: Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (2019) authored by Jian Ma 0004. Shashank Singh et al.: Predicting enhancer-promoter interaction from genomic sequence with deep neural networks. (2019) authored by Jian Ma 0004. Yifeng Tao et al.: Assessing the contribution of tumor mutational phenotypes to cancer progression risk. (2021) authored by Jian Ma 0004. Ken Daigoro Yokoyama et al.: Tracing the Evolution of Lineage-Specific Transcription Factor Binding Sites in a Birth-Death Framework. (2014) authored by Jian Ma 0004. Jian Ma: Reconstructing the History of Large-Scale Genomic Changes: Biological Questions and Computational Challenges. (2011) authored by Jian Ma 0004. Jian Ma et al.: DUPCAR: Reconstructing Contiguous Ancestral Regions with Duplications. (2008) authored by Jian Ma 0004. Benedict Paten et al.: Cactus Graphs for Genome Comparisons. (2011) authored by Jian Ma 0004. Ashok Rajaraman and Jian Ma: Toward Recovering Allele-specific Cancer Genome Graphs. (2018) authored by Jian Ma 0004. Shashank Singh et al.: On the Reconstruction Risk of Convolutional Sparse Dictionary Learning. (2017) authored by Jian Ma 0004{'author_wikipedia_text': \\\"Christian M. Ringle is a professor of management and decision sciences at the Hamburg University of Technology, Germany. He is one of the co-founders and co-developers of SmartPLS, a Java-based software package for composite-based structural equation modeling using the partial least squares path modeling method. Since 2018, Christian Ringle has been included in the Clarivate Analytics' highly cited researchers list.\\\"}\",\n \"verbalizer_on_all_triples\": \"Jian Ma has a written paper amount of 1 in year 2012.\\nJian Ma has a written paper amount of 2 in 2013.\\nJian Ma has a written paper amount of 6 in 2014.\\nJian Ma has a written paper amount of 2 in 2015.\\nJian Ma wrote 3 papers in 2016.\\nJian Ma has a written paper amount of 2 in 2017.\\nJian Ma has a written paper amount of 4 in year 2018.\\nJian Ma has a written paper amount of 7 in year 2019.\\nJian Ma's written paper amount in year 2020 is 11 pages.\\nJian Ma has a written paper amount of 3 in year 2021.\\nJian Ma wrote 12 papers in 2022.\\nJian Ma has a written paper amount of 6 in year 2023.\\nJian Ma's 2YrMeanCitedness is 8.7857141494750976562.\\nThe University of Illinois at Urbana-Champaign, IL, USA is also affiliated with the University of California at Santa Cruz, CA, USA. Jian Ma 0004 is also affiliated with Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA.\\nJian Ma and Feng Jian are alternative names for Jian Ma and Feng Jian.\\n\\\"Vaishnavi Subramanian et al.: Correlating cellular features with gene expression using CCA. (2018), Jian Ma: Reconstructing the History of Large-Scale Genomic Changes: Biological Questions and Computational Challenges. (2011), Yang Yang et al.: Concert: Genome-Wide Prediction of Sequence Elements That Modulate DNA Replication Timing. (2022), Yang Li et al.: TrueSight: Self-training Algorithm\\nJian Ma is cited by count of 2694.\\nXinghua Mindy Shi et al.: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2019, Niagara Falls, NY, USA, September 7-10, 2019. (2019) edited by Jian Ma 0004.\\nJian Ma has a h-index of 26.\\nJian Ma has 43 i10Index.\\nJian Ma is the creator of the character Jian Ma. He is also the author of Jian Ma 0004.\\nThe link to Jian Ma 0004 is https://scholar.google.com/citations?user=nDw9v78AAAAJ. It also has links to http://www.cs.cmu.edu/<unk>jianma/ and https://twitter.com/jmuiuc.\\nJian Ma is a member of Carnegie Mellon University.\\nJian Ma was modified on 2023-10-18.\\nJian Ma is the name of Jian Ma.\\nJian Ma's orcidId is https://orcid.org/0000-0002-4202-5834.\\nJian Ma 0004 is affiliated with Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA.\\nJian Ma has 69 works count.{'author_wikipedia_text': \\\"Christian M. Ringle is a professor of management and decision sciences at the Hamburg University of Technology, Germany. He is one of the co-founders and co-developers of SmartPLS, a Java-based software package for composite-based structural equation modeling using the partial least squares path modeling method. Since 2018, Christian Ringle has been included in the Clarivate Analytics' highly cited researchers list.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Guoliang Li et al.: Selecting Genomes for Reconstruction of Ancestral Genomes. (2007), Jaebum Kim and Jian Ma: PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling - (Extended Abstract). (2011), Ashok Rajaraman and Jian Ma: Reconstructing ancestral gene orders with duplications guided by synteny level genome reconstruction. (2016), Benedict Paten et al.: Cactus \\nJian Ma is cited by count of 2694. Since 2018, Christian Ringle has been included in the Clarivate Analytics' highly cited researchers list. {'author_wikipedia_text': \\\"Christian M\"\n}"}}},{"rowIdx":71,"cells":{"id":{"kind":"string","value":"8a3d7496-b922-436a-86a1-901c383bf446"},"triples_number":{"kind":"number","value":334,"string":"334"},"question":{"kind":"string","value":"How many publications does the author who published One-Round Password-Based Authenticated Key Exchange in the IACR Cryptol. ePrint Arch. have?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"0.97297298908233642578\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"MIT, Cambridge, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Vinod Vaikuntanathan\"\n },\n {\n \"object\": \"V. 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(2013)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sergey Gorbunov et al.: Functional Encryption with Bounded Collusions via Multi-party Computation. (2012)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sergey Gorbunov et al.: Predicate Encryption for Circuits from LWE. (2015)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rishab Goyal and Vinod Vaikuntanathan: Locally Verifiable Signature and Key Aggregation. (2022)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tianren Liu et al.: Layout Graphs, Random Walks and the t-Wise Independence of SPN Block Ciphers. (2023)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tianren Liu et al.: Conditional Disclosure of Secrets via Non-linear Reconstruction. (2017)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alex Lombardi and Vinod Vaikuntanathan: Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs. (2020)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Omkant Pandey et al.: Adaptive One-Way Functions and Applications. (2008)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rafael Pass et al.: Construction of a Non-malleable Encryption Scheme from Any Semantically Secure One. (2006)\"\n },\n {\n \"object\": \"Vinod Vaikuntanathan\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chris Peikert et al.: A Framework for Efficient and Composable Oblivious Transfer. 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Vinod Vaikuntanathan written paper amount in year2023: 11. Vinod Vaikuntanathan worksCount 285. Vinod Vaikuntanathan name Vinod Vaikuntanathan. Vinod Vaikuntanathan member of Massachusetts Institute of Technology. Vinod Vaikuntanathan h-index 54. Vinod Vaikuntanathan 2YrMeanCitedness 0.97297298908233642578. Vinod Vaikuntanathan alternativeName V. Vaikuntanathan. Vinod Vaikuntanathan alternativeName Vaikuntanathan Vinod. Vinod Vaikuntanathan alternativeName Vinod Vaikuntanathan. Vinod Vaikuntanathan i10Index 109. Vinod Vaikuntanathan orcidId https://orcid.org/0000-0002-2666-0045. Vinod Vaikuntanathan is Creator. Vinod Vaikuntanathan is Person. Vinod Vaikuntanathan link http://www.wikidata.org/entity/Q28002635. Vinod Vaikuntanathan affiliation MIT, Cambridge, USA. Vinod Vaikuntanathan link http://www.mit.edu/~vinodv/. Vinod Vaikuntanathan primary affiliation MIT, Cambridge, USA. Vinod Vaikuntanathan link http://www.mit.edu/~vinodv/. Vinod Vaikuntanathan link https://mathscinet.ams.org/mathscinet/MRAuthorID/744756. Vinod Vaikuntanathan link https://zbmath.org/authors/?q=ai:vaikuntanathan.vinod. Vinod Vaikuntanathan link https://mathgenealogy.org/id.php?id=133526. Vinod Vaikuntanathan link https://scholar.google.com/citations?user=a8jIPIkAAAAJ. Vinod Vaikuntanathan link https://en.wikipedia.org/wiki/Vinod_Vaikuntanathan. Shweta Agrawal et al.: Functional Encryption: New Perspectives and Lower Bounds. (2013) authored by Vinod Vaikuntanathan. James Bartusek et al.: Succinct Classical Verification of Quantum Computation. (2022) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Structure vs. Hardness Through the Obfuscation Lens. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages. (2011) authored by Vinod Vaikuntanathan. Melissa Chase et al.: Reusable Non-Interactive Secure Computation. (2019) authored by Vinod Vaikuntanathan. Akshay Degwekar et al.: Fine-Grained Cryptography. (2016) authored by Vinod Vaikuntanathan. Craig Gentry et al.: i-Hop Homomorphic Encryption and Rerandomizable Yao Circuits. (2010) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: How to Run Turing Machines on Encrypted Data. (2013) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Functional Encryption with Bounded Collusions via Multi-party Computation. (2012) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Predicate Encryption for Circuits from LWE. (2015) authored by Vinod Vaikuntanathan. Rishab Goyal and Vinod Vaikuntanathan: Locally Verifiable Signature and Key Aggregation. (2022) authored by Vinod Vaikuntanathan. Tianren Liu et al.: Layout Graphs, Random Walks and the t-Wise Independence of SPN Block Ciphers. (2023) authored by Vinod Vaikuntanathan. Tianren Liu et al.: Conditional Disclosure of Secrets via Non-linear Reconstruction. (2017) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs. (2020) authored by Vinod Vaikuntanathan. Omkant Pandey et al.: Adaptive One-Way Functions and Applications. (2008) authored by Vinod Vaikuntanathan. Rafael Pass et al.: Construction of a Non-malleable Encryption Scheme from Any Semantically Secure One. (2006) authored by Vinod Vaikuntanathan. Chris Peikert et al.: A Framework for Efficient and Composable Oblivious Transfer. (2008) authored by Vinod Vaikuntanathan. Ahmad Al Badawi et al.: OpenFHE: Open-Source Fully Homomorphic Encryption Library. (2022) authored by Vinod Vaikuntanathan. Leo de Castro et al.: Fast Vector Oblivious Linear Evaluation from Ring Learning with Errors. (2021) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: How to Compute on Encrypted Data. (2012) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan et al.: On the Power of Computational Secret Sharing. (2003) authored by Vinod Vaikuntanathan. Prabhanjan Ananth et al.: From Selective to Adaptive Security in Functional Encryption. (2015) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Circuit-ABE from LWE: Unbounded Attributes and Semi-adaptive Security. (2016) authored by Vinod Vaikuntanathan. Yilei Chen et al.: GGH15 Beyond Permutation Branching Programs: Proofs, Attacks, and Candidates. (2018) authored by Vinod Vaikuntanathan. Tianren Liu et al.: The t-wise Independence of Substitution-Permutation Networks. (2021) authored by Vinod Vaikuntanathan. Chris Peikert and Vinod Vaikuntanathan: Noninteractive Statistical Zero-Knowledge Proofs for Lattice Problems. (2008) authored by Vinod Vaikuntanathan. Leo de Castro et al.: Asymptotically Quasi-Optimal Cryptography. (2022) authored by Vinod Vaikuntanathan. Alex Lombardi et al.: Statistical ZAPR Arguments from Bilinear Maps. (2020) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: On the Hardness of Average-Case k-SUM. (2021) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Low-Complexity Cryptographic Hash Functions . (2017) authored by Vinod Vaikuntanathan. Marshall Ball et al.: Cryptography from Information Loss. (2020) authored by Vinod Vaikuntanathan. Itay Berman et al.: Zero-Knowledge Proofs of Proximity. (2018) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Time-Lock Puzzles from Randomized Encodings. (2016) authored by Vinod Vaikuntanathan. Elette Boyle et al.: Adversarially Robust Property-Preserving Hash Functions. (2019) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: (Leveled) fully homomorphic encryption without bootstrapping. (2012) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Lattice-based FHE as secure as PKE. (2014) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Lattice-Inspired Broadcast Encryption and Succinct Ciphertext-Policy ABE. (2022) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Obfuscating Conjunctions under Entropic Ring LWE. (2016) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Robustness of the Learning with Errors Assumption. (2010) authored by Vinod Vaikuntanathan. Thibaut Horel et al.: How to Subvert Backdoored Encryption: Security Against Adversaries that Decrypt All Ciphertexts. (2019) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Correlation-Intractable Hash Functions via Shift-Hiding. (2022) authored by Vinod Vaikuntanathan. Gilad Asharov et al.: Multiparty Computation with Low Communication, Computation and Interaction via Threshold FHE. (2012) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: A Note on Perfect Correctness by Derandomization. (2017) authored by Vinod Vaikuntanathan. Dan Boneh et al.: Fully Key-Homomorphic Encryption, Arithmetic Circuit ABE and Compact Garbled Circuits. (2014) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Anonymous IBE, Leakage Resilience and Circular Security from New Assumptions. (2018) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Worst-Case Hardness for LPN and Cryptographic Hashing via Code Smoothing. (2019) authored by Vinod Vaikuntanathan. Hao Chen et al.: Secure Computation from Random Error Correcting Codes. (2007) authored by Vinod Vaikuntanathan. Marten van Dijk et al.: Fully Homomorphic Encryption over the Integers. (2010) authored by Vinod Vaikuntanathan. Yevgeniy Dodis et al.: Extracting Randomness from Extractor-Dependent Sources. (2020) authored by Vinod Vaikuntanathan. Sebastian Faust et al.: Protecting Circuits from Leakage: the Computationally-Bounded and Noisy Cases. (2010) authored by Vinod Vaikuntanathan. Craig Gentry et al.: A Simple BGN-Type Cryptosystem from LWE. (2010) authored by Vinod Vaikuntanathan. Alex B. Grilo et al.: Oblivious Transfer Is in MiniQCrypt. (2021) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: SNARGs and PPAD Hardness from the Decisional Diffie-Hellman Assumption. (2023) authored by Vinod Vaikuntanathan. Tianren Liu et al.: Towards Breaking the Exponential Barrier for General Secret Sharing. (2018) authored by Vinod Vaikuntanathan. Eike Kiltz and Vinod Vaikuntanathan: Theory of Cryptography - 20th International Conference, TCC 2022, Chicago, IL, USA, November 7-10, 2022, Proceedings, Part I (2022) edited by Vinod Vaikuntanathan. Eike Kiltz and Vinod Vaikuntanathan: Theory of Cryptography - 20th International Conference, TCC 2022, Chicago, IL, USA, November 7-10, 2022, Proceedings, Part II (2022) edited by Vinod Vaikuntanathan. Eike Kiltz and Vinod Vaikuntanathan: Theory of Cryptography - 20th International Conference, TCC 2022, Chicago, IL, USA, November 7-10, 2022, Proceedings, Part III (2022) edited by Vinod Vaikuntanathan. Adi Akavia et al.: Simultaneous Hardcore Bits and Cryptography against Memory Attacks. (2009) authored by Vinod Vaikuntanathan. Prabhanjan Ananth et al.: Revocable Cryptography from Learning with Errors. (2023) authored by Vinod Vaikuntanathan. Prabhanjan Ananth and Vinod Vaikuntanathan: Optimal Bounded-Collusion Secure Functional Encryption. (2019) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: 3-Message Zero Knowledge Against Human Ignorance. (2016) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: Indistinguishability Obfuscation: From Approximate to Exact. (2016) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Weak Verifiable Random Functions. (2009) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Private Constrained PRFs (and More) from LWE. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Constrained Key-Homomorphic PRFs from Standard Lattice Assumptions - Or: How to Secretly Embed a Circuit in Your PRF. (2015) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Obfuscation of Probabilistic Circuits and Applications. (2015) authored by Vinod Vaikuntanathan. Nishanth Chandran et al.: Functional Re-encryption and Collusion-Resistant Obfuscation. (2012) authored by Vinod Vaikuntanathan. Yilei Chen et al.: Matrix PRFs: Constructions, Attacks, and Applications to Obfuscation. (2019) authored by Vinod Vaikuntanathan. Yilei Chen et al.: Traitor-Tracing from LWE Made Simple and Attribute-Based. (2018) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Aggregate Pseudorandom Functions and Connections to Learning. (2015) authored by Vinod Vaikuntanathan. Lalita Devadas et al.: Succinct LWE Sampling, Random Polynomials, and Obfuscation. (2021) authored by Vinod Vaikuntanathan. Yevgeniy Dodis et al.: Public-Key Encryption Schemes with Auxiliary Inputs. (2010) authored by Vinod Vaikuntanathan. Cynthia Dwork et al.: How Efficient Can Memory Checking Be?. (2009) authored by Vinod Vaikuntanathan. Susan Hohenberger et al.: Securely Obfuscating Re-encryption. (2007) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: Somewhere Statistical Soundness, Post-Quantum Security, and SNARGs. (2021) authored by Vinod Vaikuntanathan. Jonathan Katz and Vinod Vaikuntanathan: Round-Optimal Password-Based Authenticated Key Exchange. (2011) authored by Vinod Vaikuntanathan. Tianren Liu and Vinod Vaikuntanathan: On Basing Private Information Retrieval on NP-Hardness. (2016) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Limits on the Locality of Pseudorandom Generators and Applications to Indistinguishability Obfuscation. (2017) authored by Vinod Vaikuntanathan. Bryan Parno et al.: How to Delegate and Verify in Public: Verifiable Computation from Attribute-Based Encryption. (2012) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Distributed Computing with Imperfect Randomness. (2005) authored by Vinod Vaikuntanathan. Michael Ben-Or et al.: Byzantine agreement in the full-information model in O(log n) rounds. (2006) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Watermarking cryptographic capabilities. (2016) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Reusable garbled circuits and succinct functional encryption. (2013) authored by Vinod Vaikuntanathan. Adriana López-Alt et al.: On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption. (2012) authored by Vinod Vaikuntanathan. Ranjit Kumaresan et al.: Improvements to Secure Computation with Penalties. (2016) authored by Vinod Vaikuntanathan. Michael Naehrig et al.: Can homomorphic encryption be practical? (2011) authored by Vinod Vaikuntanathan. Rashmi Agrawal et al.: FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption. (2023) authored by Vinod Vaikuntanathan. Jonathan Valamehr et al.: Inspection resistant memory: Architectural support for security from physical examination. (2012) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: Functional Encryption for Threshold Functions (or Fuzzy IBE) from Lattices. (2012) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Efficient Password Authenticated Key Exchange via Oblivious Transfer. (2012) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Chosen-Ciphertext Secure Fully Homomorphic Encryption. (2017) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: New Developments in Leakage-Resilient Cryptography. (2011) authored by Vinod Vaikuntanathan. Alexandra Henzinger et al.: One Server for the Price of Two: Simple and Fast Single-Server Private Information Retrieval. (2023) authored by Vinod Vaikuntanathan. Chiraag Juvekar et al.: GAZELLE: A Low Latency Framework for Secure Neural Network Inference. (2018) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: Functional Encryption: New Perspectives and Lower Bounds. (2012) authored by Vinod Vaikuntanathan. Prabhanjan Ananth et al.: The Trojan Method in Functional Encryption: From Selective to Adaptive Security, Generically. (2014) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Succinct Computational Secret Sharing. (2023) authored by Vinod Vaikuntanathan. James Bartusek et al.: Quantum State Obfuscation from Classical Oracles. (2024) authored by Vinod Vaikuntanathan. James Bartusek et al.: Succinct Classical Verification of Quantum Computation. (2022) authored by Vinod Vaikuntanathan. Itay Berman et al.: Zero-Knowledge Proofs of Proximity. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Circuit-ABE from LWE: Unbounded Attributes and Semi-Adaptive Security. (2016) authored by Vinod Vaikuntanathan. Leo de Castro et al.: Does Fully Homomorphic Encryption Need Compute Acceleration? (2021) authored by Vinod Vaikuntanathan. Nishanth Chandran et al.: Collusion Resistant Obfuscation and Functional Re-encryption. (2011) authored by Vinod Vaikuntanathan. Yilei Chen et al.: GGH15 Beyond Permutation Branching Programs: Proofs, Attacks, and Candidates. (2018) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Publicly Verifiable Software Watermarking. (2015) authored by Vinod Vaikuntanathan. Lalita Devadas et al.: Succinct LWE Sampling, Random Polynomials, and Obfuscation. (2021) authored by Vinod Vaikuntanathan. Marten van Dijk et al.: Fully Homomorphic Encryption over the Integers. (2009) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Leveled Fully Homomorphic Signatures from Standard Lattices. (2014) authored by Vinod Vaikuntanathan. Alex B. Grilo et al.: Oblivious Transfer is in MiniQCrypt. (2020) authored by Vinod Vaikuntanathan. Chiraag Juvekar et al.: GAZELLE: A Low Latency Framework for Secure Neural Network Inference. (2018) authored by Vinod Vaikuntanathan. Alex Lombardi et al.: 2-Message Publicly Verifiable WI from (Subexponential) LWE. (2019) authored by Vinod Vaikuntanathan. Seyoon Ragavan and Vinod Vaikuntanathan: Optimizing Space in Regev's Factoring Algorithm. (2023) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan et al.: Witness Encryption and Null-IO from Evasive LWE. (2022) authored by Vinod Vaikuntanathan. Prabhanjan Ananth et al.: Revocable Cryptography from Learning with Errors. (2023) authored by Vinod Vaikuntanathan. James Bartusek et al.: Quantum State Obfuscation from Classical Oracles. (2024) authored by Vinod Vaikuntanathan. Yael Kalai et al.: Quantum Advantage from Any Non-Local Game. (2022) authored by Vinod Vaikuntanathan. Alex Lombardi et al.: Lattice Trapdoors and IBE from Middle-Product LWE. (2019) authored by Vinod Vaikuntanathan. Frank Wang et al.: Sieve: Cryptographically Enforced Access Control for User Data in Untrusted Clouds. (2016) authored by Vinod Vaikuntanathan. Frank Wang et al.: Splinter: Practical Private Queries on Public Data. (2017) authored by Vinod Vaikuntanathan. Divesh Aggarwal et al.: Lattice Problems beyond Polynomial Time. (2023) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Succinct Computational Secret Sharing. (2023) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Succinct Garbling and Indistinguishability Obfuscation for RAM Programs. (2015) authored by Vinod Vaikuntanathan. Craig Gentry et al.: Trapdoors for hard lattices and new cryptographic constructions. (2008) authored by Vinod Vaikuntanathan. Alexander Golovnev et al.: Data structures meet cryptography: 3SUM with preprocessing. (2020) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Attribute-based encryption for circuits. (2013) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Leveled Fully Homomorphic Signatures from Standard Lattices. (2015) authored by Vinod Vaikuntanathan. Yael Kalai et al.: Quantum Advantage from Any Non-local Game. (2023) authored by Vinod Vaikuntanathan. Yael Kalai et al.: Boosting Batch Arguments and RAM Delegation. (2023) authored by Vinod Vaikuntanathan. Tianren Liu and Vinod Vaikuntanathan: Breaking the circuit-size barrier in secret sharing. (2018) authored by Vinod Vaikuntanathan. Rashmi Agrawal et al.: MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. (2023) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: Brief announcement: broadcast in radio networks in the presence of byzantine adversaries. (2005) authored by Vinod Vaikuntanathan. Jonathan Katz and Vinod Vaikuntanathan: Round-Optimal Password-Based Authenticated Key Exchange. (2013) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Succinct Computational Secret Sharing. (2023) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Low-Complexity Cryptographic Hash Functions. (2017) authored by Vinod Vaikuntanathan. Marshall Ball et al.: Cryptography from Information Loss. (2020) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Structure vs Hardness through the Obfuscation Lens. (2016) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Fully Homomorphic Encryption without Bootstrapping. (2011) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Worst-Case Hardness for LPN and Cryptographic Hashing via Code Smoothing. (2018) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Efficient Fully Homomorphic Encryption from (Standard) LWE. (2011) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Aggregate Pseudorandom Functions and Connections to Learning. (2015) authored by Vinod Vaikuntanathan. Craig Gentry et al.: Trapdoors for Hard Lattices and New Cryptographic Constructions. (2007) authored by Vinod Vaikuntanathan. Tianren Liu et al.: New Protocols for Conditional Disclosure of Secrets (and More). (2017) authored by Vinod Vaikuntanathan. Jonathan Kaveh Valamehr et al.: Inspection-Resistant Memory Architectures. (2013) authored by Vinod Vaikuntanathan. Akshay Degwekar and Vinod Vaikuntanathan: Computational Limitations in Robust Classification and Win-Win Results. (2019) authored by Vinod Vaikuntanathan. Mark Braverman et al.: Tight Bounds for Set Disjointness in the Message Passing Model (2013) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: Indistinguishability Obfuscation from Functional Encryption. (2015) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: Indistinguishability Obfuscation: from Approximate to Exact. (2015) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Overcoming the Hole In The Bucket: Public-Key Cryptography Resilient to Continual Memory Leakage. (2010) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Anonymous IBE, Leakage Resilience and Circular Security from New Assumptions. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Worst-Case Hardness for LPN and Cryptographic Hashing via Code Smoothing. (2018) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Private Constrained PRFs (and More) from LWE. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Lattice-Based FHE as Secure as PKE. (2013) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Constrained Key-Homomorphic PRFs from Standard Lattice Assumptions Or: How to Secretly Embed a Circuit in Your PRF. (2015) authored by Vinod Vaikuntanathan. Akshay Degwekar and Vinod Vaikuntanathan: Computational Limitations in Robust Classification and Win-Win Results. (2019) authored by Vinod Vaikuntanathan. Lalita Devadas et al.: Rate-1 Non-Interactive Arguments for Batch-NP and Applications. (2022) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Overcoming the Worst-Case Curse for Cryptographic Constructions. (2013) authored by Vinod Vaikuntanathan. Sergey Gorbunov and Vinod Vaikuntanathan: (Leveled) Fully Homomorphic Signatures from Lattices. (2014) authored by Vinod Vaikuntanathan. Aparna Gupte et al.: Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures. (2022) authored by Vinod Vaikuntanathan. Tianren Liu et al.: New Protocols for Conditional Disclosure of Secrets (and More). (2017) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Minimizing the Complexity of Goldreich's Pseudorandom Generator. (2017) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs. (2020) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: Multi-Input Correlation-Intractable Hash Functions via Shift-Hiding. (2020) authored by Vinod Vaikuntanathan. Alex Lombardi et al.: Statistical ZAPR Arguments from Bilinear Maps. (2020) authored by Vinod Vaikuntanathan. Adriana López-Alt et al.: On-the-Fly Multiparty Computation on the Cloud via Multikey Fully Homomorphic Encryption. (2013) authored by Vinod Vaikuntanathan. Rashmi Agrawal et al.: FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption. (2022) authored by Vinod Vaikuntanathan. S. Amitanand et al.: Distributed consensus in the presence of sectional faults. (2003) authored by Vinod Vaikuntanathan. K. Srinathan et al.: Brief announcement: efficient perfectly secure communication over synchronous networks. (2003) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: Some Open Problems in Information-Theoretic Cryptography. (2017) authored by Vinod Vaikuntanathan. Akshay Degwekar et al.: Computational Limitations in Robust Classification and Win-Win Results. (2019) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: A Note on Perfect Correctness by Derandomization. (2015) authored by Vinod Vaikuntanathan. Noah Stephens-Davidowitz and Vinod Vaikuntanathan: SETH-hardness of Coding Problems. (2019) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: Indistinguishability Obfuscation from Functional Encryption. (2018) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Attribute-Based Encryption for Circuits. (2015) authored by Vinod Vaikuntanathan. Martin R. Albrecht et al.: Homomorphic Encryption Standard. (2019) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Obfuscation of Probabilistic Circuits and Applications. (2014) authored by Vinod Vaikuntanathan. Yilei Chen et al.: Traitor-Tracing from LWE Made Simple and Attribute-Based. (2018) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Watermarking Cryptographic Capabilities. (2015) authored by Vinod Vaikuntanathan. Akshay Degwekar et al.: Fine-grained Cryptography. (2016) authored by Vinod Vaikuntanathan. Yevgeniy Dodis et al.: Extracting Randomness from Extractor-Dependent Sources. (2019) authored by Vinod Vaikuntanathan. S. Dov Gordon et al.: A Group Signature Scheme from Lattice Assumptions. (2011) authored by Vinod Vaikuntanathan. Rishab Goyal and Vinod Vaikuntanathan: Locally Verifiable Signature and Key Aggregation. (2022) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: Boosting Batch Arguments and RAM Delegation. (2022) authored by Vinod Vaikuntanathan. Kristin E. Lauter et al.: Can Homomorphic Encryption be Practical? (2011) authored by Vinod Vaikuntanathan. Tianren Liu et al.: Towards Breaking the Exponential Barrier for General Secret Sharing. (2017) authored by Vinod Vaikuntanathan. Adriana López-Alt et al.: Cloud-Assisted Multiparty Computation from Fully Homomorphic Encryption. (2011) authored by Vinod Vaikuntanathan. Leo de Castro et al.: Does Fully Homomorphic Encryption Need Compute Acceleration? (2021) authored by Vinod Vaikuntanathan. Alexander Golovnev et al.: 3SUM with Preprocessing: Algorithms, Lower Bounds and Cryptographic Applications. (2019) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: Randomized algorithms for reliable broadcast. (2009) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: Indistinguishability Obfuscation from Functional Encryption. (2015) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Overcoming the Hole in the Bucket: Public-Key Cryptography Resilient to Continual Memory Leakage. (2010) authored by Vinod Vaikuntanathan. Mark Braverman et al.: A Tight Bound for Set Disjointness in the Message-Passing Model. (2013) authored by Vinod Vaikuntanathan. Lalita Devadas et al.: Rate-1 Non-Interactive Arguments for Batch-NP and Applications. (2022) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]. (2022) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Fault-Tolerant Distributed Computing in Full-Information Networks. (2006) authored by Vinod Vaikuntanathan. Aparna Gupte et al.: Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures. (2022) authored by Vinod Vaikuntanathan. Noah Stephens-Davidowitz and Vinod Vaikuntanathan: SETH-Hardness of Coding Problems. (2019) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan: Computing Blindfolded: New Developments in Fully Homomorphic Encryption. (2011) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Indistinguishability Obfuscation for RAM Programs and Succinct Randomized Encodings. (2018) authored by Vinod Vaikuntanathan. Alhassan Khedr et al.: SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers. (2016) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: Fuzzy Identity Based Encryption from Lattices. (2011) authored by Vinod Vaikuntanathan. Prabhanjan Ananth and Vinod Vaikuntanathan: Optimal Bounded-Collusion Secure Functional Encryption. (2019) authored by Vinod Vaikuntanathan. Benny Applebaum et al.: Low-Complexity Cryptographic Hash Functions. (2017) authored by Vinod Vaikuntanathan. Ahmad Al Badawi et al.: OpenFHE: Open-Source Fully Homomorphic Encryption Library. (2022) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Time-Lock Puzzles from Randomized Encodings. (2015) authored by Vinod Vaikuntanathan. Marcelo Blatt et al.: Optimized Homomorphic Encryption Solution for Secure Genome-Wide Association Studies. (2019) authored by Vinod Vaikuntanathan. Dan Boneh et al.: Fully Key-Homomorphic Encryption, Arithmetic Circuit ABE, and Compact Garbled Circuits. (2014) authored by Vinod Vaikuntanathan. Elette Boyle et al.: Adversarially Robust Property Preserving Hash Functions. (2018) authored by Vinod Vaikuntanathan. Ran Canetti et al.: Indistinguishability Obfuscation of Iterated Circuits and RAM Programs. (2014) authored by Vinod Vaikuntanathan. Yilei Chen et al.: Matrix PRFs: Constructions, Attacks, and Applications to Obfuscation. (2019) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Aggregatable Pseudorandom Functions and Connections to Learning. (2015) authored by Vinod Vaikuntanathan. Craig Gentry et al.: Trapdoors for Hard Lattices and New Cryptographic Constructions. (2007) authored by Vinod Vaikuntanathan. Ravit Geva et al.: Collaborative Privacy-Preserving Analysis of Oncological Data using Multiparty Homomorphic Encryption. (2023) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Succinct Functional Encryption and Applications: Reusable Garbled Circuits and Beyond. (2012) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Functional Encryption with Bounded Collusions via Multi-Party Computation. (2012) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Predicate Encryption for Circuits from LWE. (2015) authored by Vinod Vaikuntanathan. Thibaut Horel et al.: How to Subvert Backdoored Encryption: Security Against Adversaries that Decrypt All Ciphertexts. (2018) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: SNARGs and PPAD Hardness from the Decisional Diffie-Hellman Assumption. (2022) authored by Vinod Vaikuntanathan. Alhassan Khedr et al.: SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers. (2014) authored by Vinod Vaikuntanathan. Tianren Liu and Vinod Vaikuntanathan: On Basing Private Information Retrieval on NP-Hardness. (2015) authored by Vinod Vaikuntanathan. Tianren Liu and Vinod Vaikuntanathan: Breaking the Circuit-Size Barrier in Secret Sharing. (2018) authored by Vinod Vaikuntanathan. Alex Lombardi and Vinod Vaikuntanathan: On the Non-Existence of Blockwise 2-Local PRGs with Applications to Indistinguishability Obfuscation. (2017) authored by Vinod Vaikuntanathan. Surya Mathialagan et al.: Adaptively Sound Zero-Knowledge SNARKs for UP. (2024) authored by Vinod Vaikuntanathan. Bryan Parno et al.: How to Delegate and Verify in Public: Verifiable Computation from Attribute-based Encryption. (2011) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan and Prashant Nalini Vasudevan: From Statistical Zero Knowledge to Secret Sharing. (2015) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Efficient Fully Homomorphic Encryption from (Standard) LWE. (2011) authored by Vinod Vaikuntanathan. Huijia Lin and Vinod Vaikuntanathan: Indistinguishability Obfuscation from DDH-Like Assumptions on Constant-Degree Graded Encodings. (2016) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: On Continual Leakage of Discrete Log Representations. (2013) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: Functional Encryption for Inner Product Predicates from Learning with Errors. (2011) authored by Vinod Vaikuntanathan. Ronald Cramer et al.: Bounded CCA2-Secure Encryption. (2007) authored by Vinod Vaikuntanathan. S. Dov Gordon et al.: A Group Signature Scheme from Lattice Assumptions. (2010) authored by Vinod Vaikuntanathan. Jonathan Katz and Vinod Vaikuntanathan: Smooth Projective Hashing and Password-Based Authenticated Key Exchange from Lattices. (2009) authored by Vinod Vaikuntanathan. Jonathan Katz and Vinod Vaikuntanathan: Signature Schemes with Bounded Leakage Resilience. (2009) authored by Vinod Vaikuntanathan. Rafael Pass et al.: Relations Among Notions of Non-malleability for Encryption. (2007) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan and Prashant Nalini Vasudevan: Secret Sharing and Statistical Zero Knowledge. (2015) authored by Vinod Vaikuntanathan. Vinod Vaikuntanathan et al.: Witness Encryption and Null-IO from Evasive LWE. (2022) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: Fully Homomorphic Encryption without Bootstrapping. (2011) authored by Vinod Vaikuntanathan. Leo de Castro et al.: Fast Vector Oblivious Linear Evaluation from Ring Learning with Errors. (2020) authored by Vinod Vaikuntanathan. Melissa Chase et al.: Reusable Non-Interactive Secure Computation. (2018) authored by Vinod Vaikuntanathan. Sergey Gorbunov et al.: Attribute-Based Encryption for Circuits. (2013) authored by Vinod Vaikuntanathan. Jonathan Katz and Vinod Vaikuntanathan: One-Round Password-Based Authenticated Key Exchange. (2010) authored by Vinod Vaikuntanathan. Tianren Liu et al.: The t-wise Independence of Substitution-Permutation Networks. (2021) authored by Vinod Vaikuntanathan. Alex Lombardi et al.: Lattice Trapdoors and IBE from Middle-Product LWE. (2019) authored by Vinod Vaikuntanathan. Chris Peikert et al.: A Framework for Efficient and Composable Oblivious Transfer. (2007) authored by Vinod Vaikuntanathan. Divesh Aggarwal et al.: Lattice Problems Beyond Polynomial Time. (2022) authored by Vinod Vaikuntanathan. Homa Esfahanizadeh et al.: PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. (2023) authored by Vinod Vaikuntanathan. Alex B. Grilo et al.: Oblivious Transfer is in MiniQCrypt. (2020) authored by Vinod Vaikuntanathan. James Bartusek et al.: Succinct Classical Verification of Quantum Computation. (2022) authored by Vinod Vaikuntanathan. Aparna Gupte and Vinod Vaikuntanathan: The Fine-Grained Hardness of Sparse Linear Regression. (2021) authored by Vinod Vaikuntanathan. Charles W. O'Donnell and Vinod Vaikuntanathan: Information Leak in the Chord Lookup Protocol. (2004) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Structure Versus Hardness Through the Obfuscation Lens. (2021) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Efficient Fully Homomorphic Encryption from (Standard) $\\\\mathsf{LWE}$. (2014) authored by Vinod Vaikuntanathan. Aloni Cohen et al.: Watermarking Cryptographic Capabilities. (2018) authored by Vinod Vaikuntanathan. Sebastian Faust et al.: Protecting Circuits from Computationally Bounded and Noisy Leakage. (2014) authored by Vinod Vaikuntanathan. Adriana López-Alt et al.: Multikey Fully Homomorphic Encryption and Applications. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: (Leveled) Fully Homomorphic Encryption without Bootstrapping. (2014) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: A Note on Perfect Correctness by Derandomization. (2022) authored by Vinod Vaikuntanathan. Susan Hohenberger et al.: Securely Obfuscating Re-Encryption. (2011) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: On Continual Leakage of Discrete Log Representations. (2012) authored by Vinod Vaikuntanathan. Shweta Agrawal et al.: Functional Encryption for Inner Product Predicates from Learning with Errors. (2011) authored by Vinod Vaikuntanathan. Prabhanjan Ananth et al.: Revocable Cryptography from Learning with Errors. (2023) authored by Vinod Vaikuntanathan. Marshall Ball et al.: Cryptography from Information Loss. (2020) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: 3-Message Zero Knowledge Against Human Ignorance. (2016) authored by Vinod Vaikuntanathan. Nir Bitansky et al.: Structure vs Hardness through the Obfuscation Lens. (2016) authored by Vinod Vaikuntanathan. Nir Bitansky and Vinod Vaikuntanathan: A Note on Perfect Correctness by Derandomization. (2015) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Efficient Fully Homomorphic Encryption from (Standard) LWE. (2011) authored by Vinod Vaikuntanathan. Zvika Brakerski and Vinod Vaikuntanathan: Lattice-Inspired Broadcast Encryption and Succinct Ciphertext-Policy ABE. (2020) authored by Vinod Vaikuntanathan. Ran Canetti and Vinod Vaikuntanathan: Obfuscating Branching Programs Using Black-Box Pseudo-Free Groups. (2013) authored by Vinod Vaikuntanathan. Craig Gentry et al.: How to Compress (Reusable) Garbled Circuits. (2013) authored by Vinod Vaikuntanathan. Craig Gentry et al.: i-Hop Homomorphic Encryption and Rerandomizable Yao Circuits. (2010) authored by Vinod Vaikuntanathan. Craig Gentry et al.: A Simple BGN-type Cryptosystem from LWE. (2010) authored by Vinod Vaikuntanathan. Alexandra Henzinger et al.: One Server for the Price of Two: Simple and Fast Single-Server Private Information Retrieval. (2022) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: Quantum Advantage from Any Non-Local Game. (2022) authored by Vinod Vaikuntanathan. Yael Tauman Kalai et al.: Somewhere Statistical Soundness, Post-Quantum Security, and SNARGs for P. (2021) authored by Vinod Vaikuntanathan. Huijia Lin and Vinod Vaikuntanathan: Indistinguishability Obfuscation from DDH-like Assumptions on Constant-Degree Graded Encodings. (2016) authored by Vinod Vaikuntanathan. Tianren Liu et al.: Layout Graphs, Random Walks and the t-wise Independence of SPN Block Ciphers. (2024) authored by Vinod Vaikuntanathan. Yuriy Polyakov et al.: Fast Proxy Re-Encryption for Publish/Subscribe Systems. (2017) authored by Vinod Vaikuntanathan. Frank Wang et al.: Splinter: Practical Private Queries on Public Data. (2016) authored by Vinod Vaikuntanathan. Aparna Gupte et al.: Sparse Linear Regression and Lattice Problems. (2024) authored by Vinod Vaikuntanathan. Chiraag Juvekar et al.: Gazelle: A Low Latency Framework for Secure Neural Network Inference. (2018) authored by Vinod Vaikuntanathan. Yuriy Polyakov et al.: Fast Proxy Re-Encryption for Publish/Subscribe Systems. (2017) authored by Vinod Vaikuntanathan. Zvika Brakerski et al.: On the Hardness of Average-case k-SUM. (2020) authored by Vinod Vaikuntanathan. Shafi Goldwasser et al.: Planting Undetectable Backdoors in Machine Learning Models. (2022) authored by Vinod Vaikuntanathan. Aparna Gupte et al.: Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures. (2022) authored by Vinod Vaikuntanathan. Thibaut Horel et al.: How to Subvert Backdoored Encryption: Security Against Adversaries that Decrypt All Ciphertexts. (2018) authored by Vinod Vaikuntanathan. Adam Yala et al.: NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. (2021) authored by Vinod Vaikuntanathan{'author_wikipedia_text': \\\"Vinod Vaikuntanathan is a professor of computer science at the Massachusetts Institute of Technology and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. His work is focused on cryptography, including homomorphic encryption. He is the co-recipient of the 2022 Gödel Prize, together with Zvika Brakerski and Craig Gentry.\\\\nVaikuntanathan received his bachelor's degree in computer science from the Indian Institute of Technology Madras in 2003 and his Ph.D in computer science in 2009 from Massachusetts Institute of Technology under the supervision of Shafi Goldwasser. From 2008 to 2010, he was a Josef Raviv postdoctoral fellow at the IBM T.J. Watson Research Center, and from 2010 to 2011, a researcher at Microsoft Research. From Fall 2011 to Spring 2013, he was a professor at the University of Toronto. In Fall 2013, he joined the faculty at MIT.\\\\nThis article about a cryptographer is a stub. You can help Wikipedia by expanding it.\\\"}\",\n \"verbalizer_on_all_triples\": \"Vinod Vaikuntanathan has a written paper amount of 17 in year 2012.\\nVinod Vaikuntanathan has a written paper amount of 17 in 2013.\\nVinod Vaikuntanathan has 18 written papers in 2014.\\nVinod Vaikuntanathan has a written paper amount of 26 in 2015.\\nVinod Vaikuntanathan has a written paper amount of 17 in 2016.\\nVinod Vaikuntanathan has written paper amount in year 2017: 21.\\nVinod Vaikuntanathan has a written paper amount of 22 in year 2018.\\nVinod Vaikuntanathan has written paper amount in year 2019: 20.\\nVinod Vaikuntanathan has a written paper amount of 19 in year 2020.\\nVinod Vaikuntanathan's written paper amount in year2021 is 18.\\nVinod Vaikuntanathan has a written paper amount of 15 in year 2022.\\nVinod Vaikuntanathan has 11 written papers in year 2023.\\nVinod Vaikuntanathan has a 2YrMeanCitedness of 0.97297298908233642578.\\nVinod Vaikuntanathan is affiliated with MIT, Cambridge, USA.\\nThe alternative names for Vinod Vaikuntanathan are V. Vaikuntanathan and Vinod Vaikuntanathan.\\n\\\"Yael Kalai et al.: Boosting Batch Arguments and RAM Delegation. (2023), Marcelo Blatt et al.: Optimized Homomorphic Encryption Solution for Secure Genome-Wide Association Studies. (2019), Mark Braverman et al.: Tight Bounds for Set Disjointness in the Message Passing Model (2013), Omkant Pandey et al.: Adaptive One-W\\nVinod Vaikuntanathan is cited by count of 16310.\\nEike Kiltz and Vinod Vaikuntanathan: Theory of Cryptography - 20th International Conference, TCC 2022, Chicago, IL, USA, November 7-10, 2022, Proceedings, Part II (2022) was edited by Vinod Vaikuntanathan.\\nVinod Vaikuntanathan has a h-index of 54.\\nVinod Vaikuntanathan has an i10Index of 109.\\nVinod Vaikuntanathan is the creator and the author of Vinod Vaikuntanathan.\\nVinod Vaikuntanathan's link is \\\"https://mathgenealogy.org/id.php?id=133526, https://scholar.google.com/citations?user=a8jIPIkAAAAJ, https://zbmath.org/authors/?q=ai:vaikuntanathan.vinod, https://mathscinet.ams.org/mathscinet\\nVinod Vaikuntanathan is a member of the Massachusetts Institute of Technology.\\nVinod Vaikuntanathan was modified on 2023-10-18.\\nVinod Vaikuntanathan is the name given to Vinod Vaikuntanathan.\\nVinod Vaikuntanathan has orcidId https://orcid.org/0000-0002-2666-0045.\\nVinod Vaikuntanathan's primary affiliation is MIT, Cambridge, USA.\\nVinod Vaikuntanathan has 285 works.{'author_wikipedia_text': \\\"Vinod Vaikuntanathan is a professor of computer science at the Massachusetts Institute of Technology and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. His work is focused on cryptography, including homomorphic encryption. He is the co-recipient of the 2022 Gödel Prize, together with Zvika Brakerski and Craig Gentry.\\\\nVaikuntanathan received his bachelor's degree in computer science from the Indian Institute of Technology Madras in 2003 and his Ph.D in computer science in 2009 from Massachusetts Institute of Technology under the supervision of Shafi Goldwasser. From 2008 to 2010, he was a Josef Raviv postdoctoral fellow at the IBM T.J. Watson Research Center, and from 2010 to 2011, a researcher at Microsoft Research. From Fall 2011 to Spring 2013, he was a professor at the University of Toronto. In Fall 2013, he joined the faculty at MIT.\\\\nThis article about a cryptographer is a stub. You can help Wikipedia by expanding it.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Zvika Brakerski et al.: Overcoming the Hole in the Bucket: Public-Key Cryptography Resilient to Continual Memory Leakage. (2010), Akshay Degwekar et al.: Fine-grained Cryptography. (2016), Michael Ben-Or et al.: Byzantine agreement in the full-information model in O(log n) rounds. (2006), Aloni Cohen et al.: Watermarking Cryptographic Capabil\\nEike Kiltz and Vinod Vaikuntanathan: Theory of Cryptography - 20th International Conference, TCC 2022, Chicago, IL, USA, November 7-10, 2022, Proceedings, Part II (2022) was edited by Vinod Vaikuntanathan.\\\\nThis article about a cryptographer is a stub. His work is focused on cryptography, including homomorphic encryption\"\n}"}}},{"rowIdx":72,"cells":{"id":{"kind":"string","value":"c061eaf3-2d3d-49f8-805d-cbae814aeb2a"},"triples_number":{"kind":"number","value":290,"string":"290"},"question":{"kind":"string","value":"How many papers does the academic institution of the researcher who published 'Error-Correcting Output Coding Corrects Bias and Variance' have?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Thomas G. 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Dietterich\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Thomas G. Dietterich\"\n },\n {\n \"object\": \"7.2941174507141113281\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Thomas G. 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Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Natalia Larios Delgado et al.: Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. (2011)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas G. Dietterich and Ghulum Bakiri: Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs. (1991)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jonathan Ferrer-Mestres et al.: K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. (2021)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hussein Almuallim and Thomas G. Dietterich: Learning with Many Irrelevant Features. (1991)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas G. Dietterich: Applying General Induction Methods to the Card Game Eleusis. (1980)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas G. Dietterich: Learning About Systems That Contain State Variables. (1984)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas G. Dietterich and Xinlong Bao: Integrating Multiple Learning Components through Markov Logic. (2008)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kshitij Judah et al.: Reinforcement Learning Via Practice and Critique Advice. (2010)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kiri L. Wagstaff et al.: Guiding Scientific Discovery with Explanations Using DEMUD. (2013)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Steve A. Chien et al.: Machine Learning in Engineering Automation. (1991)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas G. Dietterich et al.: A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping. (1990)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Si Liu et al.: Open Category Detection with PAC Guarantees. (2018)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dragos D. Margineantu and Thomas G. Dietterich: Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. (2000)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ritchey A. Ruff and Thomas G. Dietterich: What Good Are Experiments?. (1989)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Sheldon et al.: Approximate Inference in Collective Graphical Models. (2013)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Xin Wang and Thomas G. Dietterich: Model-based Policy Gradient Reinforcement Learning. (2003)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pengcheng Wu and Thomas G. Dietterich: Improving SVM accuracy by training on auxiliary data sources. (2004)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tadesse Zemicheal and Thomas G. Dietterich: Anomaly detection in the presence of missing values for weather data quality control. (2019)\"\n },\n {\n \"object\": \"Thomas G. Dietterich\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tadesse Zemicheal and Thomas G. 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Dietterich\"\n },\n {\n \"object\": \"320\",\n \"predicate\": \"worksCount\",\n \"subject\": \"Thomas G. Dietterich\"\n }\n ],\n \"evidence_matching\": \"Eun Bae Kong and Thomas G. Dietterich: Error-Correcting Output Coding Corrects Bias and Variance. (1995) authored by Thomas G. Dietterich. Giorgio Valentini and Thomas G. Dietterich: Bias-Variance Analysis and Ensembles of SVM. (2002) authored by Thomas G. Dietterich. Ritchey A. Ruff and Thomas G. Dietterich: What Good Are Experiments?. (1989) authored by Thomas G. Dietterich. Thomas G. Dietterich citedByCount 26558. Thomas G. Dietterich and Ghulum Bakiri: Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs. (1991) authored by Thomas G. Dietterich. Thomas G. Dietterich written paper amount in year2016: 4. Thomas G. Dietterich written paper amount in year2016: 4. Thomas G. Dietterich written paper amount in year2023: 1. Thomas G. Dietterich written paper amount in year2023: 1. Thomas G. Dietterich written paper amount in year2019: 8. Thomas G. Dietterich written paper amount in year2019: 8. Thomas G. Dietterich written paper amount in year2017: 12. Thomas G. Dietterich written paper amount in year2017: 12. Thomas G. Dietterich written paper amount in year2018: 18. Thomas G. Dietterich written paper amount in year2018: 18. Thomas G. Dietterich written paper amount in year2021: 9. Thomas G. Dietterich written paper amount in year2021: 9. Thomas G. Dietterich written paper amount in year2022: 7. Thomas G. Dietterich written paper amount in year2022: 7. Thomas G. Dietterich written paper amount in year2020: 8. Thomas G. Dietterich written paper amount in year2020: 8. Thomas G. Dietterich written paper amount in year2014: 10. Thomas G. Dietterich written paper amount in year2014: 10. Thomas G. Dietterich written paper amount in year2013: 11. Thomas G. Dietterich written paper amount in year2013: 11. Shubhomoy Das et al.: Discovering Anomalies by Incorporating Feedback from an Expert. (2020) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995) authored by Thomas G. Dietterich. Thomas G. Dietterich written paper amount in year2015: 15. Thomas G. Dietterich written paper amount in year2015: 15 There are three major strands of his research. He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. For many years, he was the editor of the MIT Press series on Adaptive Computation and Machine Learning. \\\\nAmong his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models. But to the extent that computer systems are given increasingly dangerous tasks, and asked to learn from and interpret their experiences, he said they may simply make mistakes. He also co-founded two of the field\\\\'s leading journals and was elected first president of the International Machine Learning Society. \\\\nOver his career, he has worked on a wide variety of problems ranging from drug design to user interfaces to computer security. In response to the media\\\\'s attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, Business Insider, Microsoft Research, CNET, and The Wall Street Journal. \\\\nThomas Dietterich was honored by Oregon State University in the spring of 2013 as a \\\"Distinguished Professor\\\" for his work as a pioneer in the field of machine learning and being one of the mostly highly cited scientists in his field\",\n \"plain\": \"Thomas G. Dietterich is Author. Thomas G. Dietterich modified 2023-10-18. Thomas G. Dietterich citedByCount 26558. Thomas G. Dietterich written paper amount in year2012: 12. Thomas G. Dietterich written paper amount in year2012: 12. Thomas G. Dietterich written paper amount in year2013: 11. Thomas G. Dietterich written paper amount in year2013: 11. Thomas G. Dietterich written paper amount in year2014: 10. Thomas G. Dietterich written paper amount in year2014: 10. Thomas G. Dietterich written paper amount in year2015: 15. Thomas G. Dietterich written paper amount in year2015: 15. Thomas G. Dietterich written paper amount in year2016: 4. Thomas G. Dietterich written paper amount in year2016: 4. Thomas G. Dietterich written paper amount in year2017: 12. Thomas G. Dietterich written paper amount in year2017: 12. Thomas G. Dietterich written paper amount in year2018: 18. Thomas G. Dietterich written paper amount in year2018: 18. Thomas G. Dietterich written paper amount in year2019: 8. Thomas G. Dietterich written paper amount in year2019: 8. Thomas G. Dietterich written paper amount in year2020: 8. Thomas G. Dietterich written paper amount in year2020: 8. Thomas G. Dietterich written paper amount in year2021: 9. Thomas G. Dietterich written paper amount in year2021: 9. Thomas G. Dietterich written paper amount in year2022: 7. Thomas G. Dietterich written paper amount in year2022: 7. Thomas G. Dietterich written paper amount in year2023: 1. Thomas G. Dietterich written paper amount in year2023: 1. Thomas G. Dietterich worksCount 320. Thomas G. Dietterich name Thomas G. Dietterich. Thomas G. Dietterich member of Oregon State University. Thomas G. Dietterich h-index 57. Thomas G. Dietterich 2YrMeanCitedness 7.2941174507141113281. Thomas G. Dietterich alternativeName T. Dietterich. Thomas G. Dietterich alternativeName T. G. Dietterich. Thomas G. Dietterich alternativeName Thomas Dietterich. Thomas G. Dietterich alternativeName Thomas G. Dietterich. Thomas G. Dietterich alternativeName Thomas Glen Dietterich. Thomas G. Dietterich i10Index 135. Thomas G. Dietterich orcidId https://orcid.org/0000-0002-8223-8586. Thomas G. Dietterich is Creator. Thomas G. Dietterich is Person. Thomas G. Dietterich link http://www.wikidata.org/entity/Q27663657. Thomas G. Dietterich affiliation Oregon State University, School of Electrical Engineering and Computer Science. Thomas G. Dietterich link http://web.engr.oregonstate.edu/~tgd/. Thomas G. Dietterich primary affiliation Oregon State University, School of Electrical Engineering and Computer Science. Thomas G. Dietterich link http://web.engr.oregonstate.edu/~tgd/. Thomas G. Dietterich link https://mathgenealogy.org/id.php?id=71702. Thomas G. Dietterich link https://scholar.google.com/citations?user=09kJn28AAAAJ. Thomas G. Dietterich link https://dl.acm.org/profile/81452609390. Thomas G. Dietterich link https://twitter.com/tdietterich. Thomas G. Dietterich link https://mathscinet.ams.org/mathscinet/MRAuthorID/354375. Thomas G. Dietterich link https://en.wikipedia.org/wiki/Thomas_G._Dietterich. Natalia Larios Delgado et al.: Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. (2011) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ghulum Bakiri: Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs. (1991) authored by Thomas G. Dietterich. Jonathan Ferrer-Mestres et al.: K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. (2021) authored by Thomas G. Dietterich. Hussein Almuallim and Thomas G. Dietterich: Learning with Many Irrelevant Features. (1991) authored by Thomas G. Dietterich. Thomas G. Dietterich: Applying General Induction Methods to the Card Game Eleusis. (1980) authored by Thomas G. Dietterich. Thomas G. Dietterich: Learning About Systems That Contain State Variables. (1984) authored by Thomas G. Dietterich. Thomas G. Dietterich and Xinlong Bao: Integrating Multiple Learning Components through Markov Logic. (2008) authored by Thomas G. Dietterich. Kshitij Judah et al.: Reinforcement Learning Via Practice and Critique Advice. (2010) authored by Thomas G. Dietterich. Kiri L. Wagstaff et al.: Guiding Scientific Discovery with Explanations Using DEMUD. (2013) authored by Thomas G. Dietterich. Steve A. Chien et al.: Machine Learning in Engineering Automation. (1991) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping. (1990) authored by Thomas G. Dietterich. Si Liu et al.: Open Category Detection with PAC Guarantees. (2018) authored by Thomas G. Dietterich. Dragos D. Margineantu and Thomas G. Dietterich: Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. (2000) authored by Thomas G. Dietterich. Ritchey A. Ruff and Thomas G. Dietterich: What Good Are Experiments?. (1989) authored by Thomas G. Dietterich. Daniel Sheldon et al.: Approximate Inference in Collective Graphical Models. (2013) authored by Thomas G. Dietterich. Xin Wang and Thomas G. Dietterich: Model-based Policy Gradient Reinforcement Learning. (2003) authored by Thomas G. Dietterich. Pengcheng Wu and Thomas G. Dietterich: Improving SVM accuracy by training on auxiliary data sources. (2004) authored by Thomas G. Dietterich. Tadesse Zemicheal and Thomas G. Dietterich: Anomaly detection in the presence of missing values for weather data quality control. (2019) authored by Thomas G. Dietterich. Tadesse Zemicheal and Thomas G. Dietterich: Conditional mixture models for precipitation data quality control. (2020) authored by Thomas G. Dietterich. Guansong Pang et al.: ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. (2022) authored by Thomas G. Dietterich. Simone Stumpf et al.: Improving Intelligent Assistants for Desktop Activities. (2007) authored by Thomas G. Dietterich. Majid Alkaee Taleghan and Thomas G. Dietterich: Efficient Exploration for Constrained MDPs. (2018) authored by Thomas G. Dietterich. Hussein Almuallim and Thomas G. Dietterich: On Learning More Concepts. (1992) authored by Thomas G. Dietterich. Thomas G. Dietterich: The MAXQ Method for Hierarchical Reinforcement Learning. (1998) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Action Refinement in Reinforcement Learning by Probability Smoothing. (2002) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. (2018) authored by Thomas G. Dietterich. Neville Mehta et al.: Automatic discovery and transfer of MAXQ hierarchies. (2008) authored by Thomas G. Dietterich. Sriraam Natarajan et al.: Learning first-order probabilistic models with combining rules. (2005) authored by Thomas G. Dietterich. Wei Zhang et al.: Learning non-redundant codebooks for classifying complex objects. (2009) authored by Thomas G. Dietterich. Valentina Bayer Zubek and Thomas G. Dietterich: Pruning Improves Heuristic Search for Cost-Sensitive Learning. (2002) authored by Thomas G. Dietterich. Jianqiang Shen and Thomas G. Dietterich: A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. (2009) authored by Thomas G. Dietterich. Giuseppe Cerbone and Thomas G. Dietterich: Knowledge Compilation to Speed Up Numerical Optimisation. (1991) authored by Thomas G. Dietterich. Sean McGregor et al.: Facilitating testing and debugging of Markov Decision Processes with interactive visualization. (2015) authored by Thomas G. Dietterich. Sean McGregor et al.: Facilitating testing and debugging of Markov Decision Processes with interactive visualization. (2015) authored by Thomas G. Dietterich. Jianqiang Shen and Thomas G. Dietterich: Active EM to reduce noise in activity recognition. (2007) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning in Ecosystem Informatics and Sustainability. (2009) authored by Thomas G. Dietterich. Shiv Shankar et al.: Three-quarter Sibling Regression for Denoising Observational Data. (2019) authored by Thomas G. Dietterich. Jianqiang Shen et al.: Real-Time Detection of Task Switches of Desktop Users. (2007) authored by Thomas G. Dietterich. Thomas G. Dietterich and Xin Wang: Support Vectors for Reinforcement Learning. (2001) authored by Thomas G. Dietterich. Howard E. Shrobe et al.: Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29 - August 3, 1990, 2 Volumes. (1990) edited by Thomas G. Dietterich. Jesse Hostetler et al.: State Aggregation in Monte Carlo Tree Search. (2014) authored by Thomas G. Dietterich. Natalia Larios et al.: Automated Insect Identification through Concatenated Histograms of Local Appearance Features. (2007) authored by Thomas G. Dietterich. Simone Stumpf et al.: The TaskTracker System. (2005) authored by Thomas G. Dietterich. Giuseppe Cerbone and Thomas G. Dietterich: Knowledge Compilation to Speed Up Numerical Optimization. (1991) authored by Thomas G. Dietterich. Eric Chown and Thomas G. Dietterich: A Divide and Conquer Approach to Learning from Prior Knowledge. (2000) authored by Thomas G. Dietterich. Thomas G. Dietterich: Limitations on Inductive Learning. (1989) authored by Thomas G. Dietterich. Thomas G. Dietterich and Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. (1995) authored by Thomas G. Dietterich. Eun Bae Kong and Thomas G. Dietterich: Error-Correcting Output Coding Corrects Bias and Variance. (1995) authored by Thomas G. Dietterich. Li-Ping Liu et al.: Gaussian Approximation of Collective Graphical Models. (2014) authored by Thomas G. Dietterich. Prasad Tadepalli and Thomas G. Dietterich: Hierarchical Explanation-Based Reinforcement Learning. (1997) authored by Thomas G. Dietterich. Simone Stumpf et al.: Improving Intelligent Assistants for Desktop Activities. (2007) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning for Sequential Data: A Review. (2002) authored by Thomas G. Dietterich. Xinlong Bao et al.: Fewer clicks and less frustration: reducing the cost of reaching the right folder. (2006) authored by Thomas G. Dietterich. Anton N. Dragunov et al.: TaskTracer: a desktop environment to support multi-tasking knowledge workers. (2005) authored by Thomas G. Dietterich. Jianqiang Shen et al.: Discovering frequent work procedures from resource connections. (2009) authored by Thomas G. Dietterich. Jianqiang Shen et al.: Detecting and correcting user activity switches: algorithms and interfaces. (2009) authored by Thomas G. Dietterich. Jianqiang Shen et al.: A hybrid learning system for recognizing user tasks from desktop activities and email messages. (2006) authored by Thomas G. Dietterich. Simone Stumpf et al.: Toward harnessing user feedback for machine learning. (2007) authored by Thomas G. Dietterich. Shubhomoy Das et al.: Incorporating Expert Feedback into Active Anomaly Discovery. (2016) authored by Thomas G. Dietterich. Wei Zhang et al.: A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions. (2006) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ryszard S. Michalski: Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. (1979) authored by Thomas G. Dietterich. Valentina Bayer Zubek and Thomas G. Dietterich: A POMDP Approximation Algorithm That Anticipates the Need to Observe. (2000) authored by Thomas G. Dietterich. Todd K. Leen et al.: Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA (2001) edited by Thomas G. Dietterich. Thomas G. Dietterich et al.: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada] (2001) edited by Thomas G. Dietterich. Thomas G. Dietterich: State Abstraction in MAXQ Hierarchical Reinforcement Learning. (1999) authored by Thomas G. Dietterich. Thomas G. Dietterich and Xin Wang: Batch Value Function Approximation via Support Vectors. (2001) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction. (1993) authored by Thomas G. Dietterich. Daniel Sheldon and Thomas G. Dietterich: Collective Graphical Models. (2011) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Training conditional random fields via gradient tree boosting. (2004) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Applying the Waek Learning Framework to Understand and Improve C4.5. (1996) authored by Thomas G. Dietterich. Li-Ping Liu and Thomas G. Dietterich: Learnability of the Superset Label Learning Problem. (2014) authored by Thomas G. Dietterich. Dragos D. Margineantu and Thomas G. Dietterich: Pruning Adaptive Boosting. (1997) authored by Thomas G. Dietterich. Giorgio Valentini and Thomas G. Dietterich: Low Bias Bagged Support Vector Machines. (2003) authored by Thomas G. Dietterich. Carlos Jensen et al.: The life and times of files and information: a study of desktop provenance. (2010) authored by Thomas G. Dietterich. Eric Altendorf et al.: Learning from Sparse Data by Exploiting Monotonicity Constraints. (2005) authored by Thomas G. Dietterich. Ethan W. Dereszynski and Thomas G. Dietterich: Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams. (2007) authored by Thomas G. Dietterich. Jesse Hostetler et al.: Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. (2012) authored by Thomas G. Dietterich. Jesse Hostetler et al.: Progressive Abstraction Refinement for Sparse Sampling. (2015) authored by Thomas G. Dietterich. Kshitij Judah et al.: Active Imitation Learning via Reduction to I.I.D. Active Learning. (2012) authored by Thomas G. Dietterich. Md Amran Siddiqui et al.: Finite Sample Complexity of Rare Pattern Anomaly Detection. (2016) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning and Ecosystem Informatics: Challenges and Opportunities. (2009) authored by Thomas G. Dietterich. Dídac Busquets et al.: A Multi-agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation. (2002) authored by Thomas G. Dietterich. Jonathan Ferrer-Mestres et al.: Solving K-MDPs. (2020) authored by Thomas G. Dietterich. Kshitij Judah et al.: Active Imitation Learning via Reduction to I.I.D. Active Learning. (2012) authored by Thomas G. Dietterich. Sean McGregor et al.: MDPVIS: An Interactive Visualization for Testing Markov Decision Processes. (2015) authored by Thomas G. Dietterich. Paul Barford et al.: Cyber SA: Situational Awareness for Cyber Defense. (2010) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Machine Learning Methods for High Level Cyber Situation Awareness. (2010) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. (2013) authored by Thomas G. Dietterich. Yann Dujardin et al.: Three New Algorithms to Solve N-POMDPs. (2017) authored by Thomas G. Dietterich. Rebecca A. Hutchinson et al.: Incorporating Boosted Regression Trees into Ecological Latent Variable Models. (2011) authored by Thomas G. Dietterich. John Walker Orr et al.: Learning Scripts as Hidden Markov Models. (2014) authored by Thomas G. Dietterich. Nicholas S. Flann et al.: Forward Chaining Logic Programming with the ATMS. (1987) authored by Thomas G. Dietterich. Caroline N. Koff et al.: An Efficient ATMS for Equivalence Relations. (1988) authored by Thomas G. Dietterich. Si Liu et al.: Can We Achieve Open Category Detection with Guarantees? (2018) authored by Thomas G. Dietterich. Daniel Sheldon et al.: Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar. (2013) authored by Thomas G. Dietterich. Jun Xie et al.: Learning Greedy Policies for the Easy-First Framework. (2015) authored by Thomas G. Dietterich. Natalia Larios et al.: Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. (2010) authored by Thomas G. Dietterich. Wei Zhang and Thomas G. Dietterich: Learning visual dictionaries and decision lists for object recognition. (2008) authored by Thomas G. Dietterich. Yann Dujardin et al.: α-min: A Compact Approximate Solver For Finite-Horizon POMDPs. (2015) authored by Thomas G. Dietterich. Sean McGregor et al.: Interactive visualization for testing Markov Decision Processes: MDPVIS. (2017) authored by Thomas G. Dietterich. Li-Ping Liu et al.: Transductive Optimization of Top k Precision. (2015) authored by Thomas G. Dietterich. Md Amran Siddiqui et al.: Sequential Feature Explanations for Anomaly Detection. (2015) authored by Thomas G. Dietterich. Thomas G. Dietterich and Jesse Hostetler: Conformal Prediction Intervals for Markov Decision Process Trajectories. (2022) authored by Thomas G. Dietterich. Xiaoqin Zhang et al.: An Ensemble Learning and Problem Solving Architecture for Airspace Management. (2009) authored by Thomas G. Dietterich. Nicholas S. Flann and Thomas G. Dietterich: Selecting Appropriate Representations for Learning from Examples. (1986) authored by Thomas G. Dietterich. Thomas G. Dietterich and Xin Wang: Support Vectors for Reinforcement Learning. (2001) authored by Thomas G. Dietterich. Michael Wynkoop and Thomas G. Dietterich: Learning MDP Action Models Via Discrete Mixture Trees. (2008) authored by Thomas G. Dietterich. Thomas G. Dietterich: The Divide-and-Conquer Manifesto. (2000) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning in Ecosystem Informatics. (2007) authored by Thomas G. Dietterich. Tony Fountain et al.: Mining IC test data to optimize VLSI testing. (2000) authored by Thomas G. Dietterich. Guansong Pang et al.: Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). (2021) authored by Thomas G. Dietterich. Hongli Deng et al.: Principal Curvature-Based Region Detector for Object Recognition. (2007) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Memory-Based Methods for Regression and Classification. (1993) authored by Thomas G. Dietterich. Shahed Sorower et al.: Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. (2011) authored by Thomas G. Dietterich. Dietrich Wettschereck and Thomas G. Dietterich: Improving the Performance of Radial Basis Function Networks by Learning Center Locations. (1991) authored by Thomas G. Dietterich. Dietrich Wettschereck and Thomas G. Dietterich: Locally Adaptive Nearest Neighbor Algorithms. (1993) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Machine learning for computational sustainability. (2012) authored by Thomas G. Dietterich. Thomas G. Dietterich: An Overview of MAXQ Hierarchical Reinforcement Learning. (2000) authored by Thomas G. Dietterich. Li-Ping Liu et al.: Transductive Optimization of Top k Precision. (2016) authored by Thomas G. Dietterich. Wei Zhang and Thomas G. Dietterich: A Reinforcement Learning Approach to job-shop Scheduling. (1995) authored by Thomas G. Dietterich. Ted E. Senator et al.: Detecting insider threats in a real corporate database of computer usage activity. (2013) authored by Thomas G. Dietterich. Md Amran Siddiqui et al.: Feedback-Guided Anomaly Discovery via Online Optimization. (2018) authored by Thomas G. Dietterich. Hongli Deng et al.: Reinforcement Matching Using Region Context. (2006) authored by Thomas G. Dietterich. Michael Lam et al.: ℋC-search for structured prediction in computer vision. (2015) authored by Thomas G. Dietterich. Gonzalo Martínez-Muñoz et al.: Dictionary-free categorization of very similar objects via stacked evidence trees. (2009) authored by Thomas G. Dietterich. Ethan W. Dereszynski et al.: Learning Probabilistic Behavior Models in Real-Time Strategy Games. (2011) authored by Thomas G. Dietterich. Yunye Gong et al.: Confidence Calibration for Domain Generalization under Covariate Shift. (2021) authored by Thomas G. Dietterich. Sriraam Natarajan et al.: Learning first-order probabilistic models with combining rules. (2008) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning in Ecosystem Informatics. (2007) authored by Thomas G. Dietterich. Xinlong Bao and Thomas G. Dietterich: FolderPredictor: Reducing the cost of reaching the right folder. (2011) authored by Thomas G. Dietterich. Thomas G. Dietterich: Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition. (2000) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes. (1995) authored by Thomas G. Dietterich. Jesse Hostetler et al.: Sample-Based Tree Search with Fixed and Adaptive State Abstractions. (2017) authored by Thomas G. Dietterich. David G. Ullman et al.: A model of the mechanical design process based on empirical data. (1988) authored by Thomas G. Dietterich. Thomas G. Dietterich and Alexander Guyer: The familiarity hypothesis: Explaining the behavior of deep open set methods. (2022) authored by Thomas G. Dietterich. Sean McGregor et al.: Fast Optimization of Wildfire Suppression Policies with SMAC. (2017) authored by Thomas G. Dietterich. Thomas G. Dietterich: Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition (1999) authored by Thomas G. Dietterich. John Walker Orr et al.: Learning Scripts as Hidden Markov Models. (2018) authored by Thomas G. Dietterich. Thomas G. Dietterich: Robust Artificial Intelligence and Robust Human Organizations. (2018) authored by Thomas G. Dietterich. George Trimponias and Thomas G. Dietterich: Reinforcement Learning with Exogenous States and Rewards. (2023) authored by Thomas G. Dietterich. Eric Altendorf et al.: Learning from Sparse Data by Exploiting Monotonicity Constraints (2012) authored by Thomas G. Dietterich. Alexander Guyer and Thomas G. Dietterich: Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target. (2022) authored by Thomas G. Dietterich. Sean McGregor et al.: Factoring Exogenous State for Model-Free Monte Carlo. (2017) authored by Thomas G. Dietterich. Li-Ping Liu and Thomas G. Dietterich: A Conditional Multinomial Mixture Model for Superset Label Learning. (2012) authored by Thomas G. Dietterich. Wei Zhang and Thomas G. Dietterich: High-Performance Job-Shop Scheduling With A Time-Delay TD-lambda Network. (1995) authored by Thomas G. Dietterich. Xin Wang and Thomas G. Dietterich: Stabilizing Value Function Approximation with the BFBP Algorithm. (2001) authored by Thomas G. Dietterich. Xu Hu et al.: Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls. (2013) authored by Thomas G. Dietterich. Michael Lam et al.: Learning to Detect Basal Tubules of Nematocysts in SEM Images. (2013) authored by Thomas G. Dietterich. Mohammad S. Sorower et al.: Improving Automated Email Tagging with Implicit Feedback. (2015) authored by Thomas G. Dietterich. Eric Eaton et al.: Who speaks for AI? (2015) authored by Thomas G. Dietterich. Thomas G. Dietterich: Robust artificial intelligence and robust human organizations. (2019) authored by Thomas G. Dietterich. Xiaoqin Zhang et al.: An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. (2012) authored by Thomas G. Dietterich. Thomas G. Dietterich: Overfitting and Undercomputing in Machine Learning. (1995) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine Learning. (1996) authored by Thomas G. Dietterich. Ajay N. Jain et al.: Compass: A shape-based machine learning tool for drug design. (1994) authored by Thomas G. Dietterich. Janardhan Rao Doppa et al.: Learning Rules from Incomplete Examples via Implicit Mention Models. (2011) authored by Thomas G. Dietterich. Kshitij Judah et al.: Active lmitation learning: formal and practical reductions to I.I.D. learning. (2014) authored by Thomas G. Dietterich. Si Liu et al.: PAC Guarantees and Effective Algorithms for Detecting Novel Categories. (2022) authored by Thomas G. Dietterich. Majid Alkaee Taleghan et al.: PAC optimal MDP planning with application to invasive species management. (2015) authored by Thomas G. Dietterich. Giorgio Valentini and Thomas G. Dietterich: Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. (2004) authored by Thomas G. Dietterich. Joshua Alspector and Thomas G. Dietterich: DARPA's Role in Machine Learning. (2020) authored by Thomas G. Dietterich. Sarabjot Singh Anand et al.: AAAI-07 Workshop Reports. (2007) authored by Thomas G. Dietterich. Thomas G. Dietterich: Steps Toward Robust Artificial Intelligence. (2017) authored by Thomas G. Dietterich. Thomas G. Dietterich: Machine-Learning Research. (1997) authored by Thomas G. Dietterich. Andrew Farnsworth et al.: Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability. (2014) authored by Thomas G. Dietterich. Neville Mehta et al.: Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. (2011) authored by Thomas G. Dietterich. Stuart Russell et al.: Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter. (2015) authored by Thomas G. Dietterich. Kshitij Judah et al.: Active Imitation Learning via Reduction to I.I.D. Active Learning (2012) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. (2018) authored by Thomas G. Dietterich. Kiri L. Wagstaff and Thomas G. Dietterich: Hidden Heterogeneity: When to Choose Similarity-Based Calibration. (2022) authored by Thomas G. Dietterich. Lukas Ruff et al.: A Unifying Review of Deep and Shallow Anomaly Detection. (2020) authored by Thomas G. Dietterich. Andrew Emmott et al.: Systematic Construction of Anomaly Detection Benchmarks from Real Data. (2015) authored by Thomas G. Dietterich. Valentina Bayer Zubek and Thomas G. Dietterich: Integrating Learning from Examples into the Search for Diagnostic Policies (2011) authored by Thomas G. Dietterich. Li-Ping Liu et al.: Gaussian Approximation of Collective Graphical Models. (2014) authored by Thomas G. Dietterich. Jesse Hostetler et al.: Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games (2012) authored by Thomas G. Dietterich. Thomas G. Dietterich: Ensemble Methods in Machine Learning. (2000) authored by Thomas G. Dietterich. Giorgio Valentini and Thomas G. Dietterich: Bias-Variance Analysis and Ensembles of SVM. (2002) authored by Thomas G. Dietterich. Dan Hendrycks and Thomas G. Dietterich: Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. (2019) authored by Thomas G. Dietterich. Dan Hendrycks et al.: Deep Anomaly Detection with Outlier Exposure. (2019) authored by Thomas G. Dietterich. Luc De Raedt et al.: Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 (2006) edited by Thomas G. Dietterich. Luc De Raedt et al.: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008) edited by Thomas G. Dietterich. Chao Ma et al.: Prune-and-Score: Learning for Greedy Coreference Resolution. (2014) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1989) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Structured machine learning: the next ten years. (2008) authored by Thomas G. Dietterich. Thomas G. Dietterich and Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. (1997) authored by Thomas G. Dietterich. Dietrich Wettschereck and Thomas G. Dietterich: An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. (1995) authored by Thomas G. Dietterich. Luc De Raedt et al.: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. (2007) authored by Thomas G. Dietterich. Luc De Raedt et al.: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. (2005) authored by Thomas G. Dietterich. Luc De Raedt et al.: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. (2005) authored by Thomas G. Dietterich. Natalia Larios et al.: Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. (2008) authored by Thomas G. Dietterich. Thomas G. Dietterich and Eric Horvitz: Rise of concerns about AI: reflections and directions. (2015) authored by Thomas G. Dietterich. Carla P. Gomes et al.: Computational sustainability: computing for a better world and a sustainable future. (2019) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ryszard S. Michalski: Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. (1981) authored by Thomas G. Dietterich. Lukas Ruff et al.: A Unifying Review of Deep and Shallow Anomaly Detection. (2021) authored by Thomas G. Dietterich. Shubhomoy Das et al.: Incorporating Feedback into Tree-based Anomaly Detection. (2017) authored by Thomas G. Dietterich. Yunye Gong et al.: Confidence Calibration for Domain Generalization under Covariate Shift. (2021) authored by Thomas G. Dietterich. Si Liu et al.: Open Category Detection with PAC Guarantees. (2018) authored by Thomas G. Dietterich. Dan Hendrycks and Thomas G. Dietterich: Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. (2018) authored by Thomas G. Dietterich. Thomas G. Dietterich and Tadesse Zemicheal: Anomaly Detection in the Presence of Missing Values. (2018) authored by Thomas G. Dietterich. Dan Hendrycks and Thomas G. Dietterich: Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. (2019) authored by Thomas G. Dietterich. Jianqiang Shen and Thomas G. Dietterich: A family of large margin linear classifiers and its application in dynamic environments. (2009) authored by Thomas G. Dietterich. Kiri L. Wagstaff and Thomas G. Dietterich: Hidden Heterogeneity: When to Choose Similarity-Based Calibration. (2023) authored by Thomas G. Dietterich. Ashok K. Goel et al.: Knowledge Compilation: A Symposium. (1991) authored by Thomas G. Dietterich. Risheek Garrepalli et al.: Oracle Analysis of Representations for Deep Open Set Detection. (2022) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995) authored by Thomas G. Dietterich. Thomas G. Dietterich: An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. (2000) authored by Thomas G. Dietterich. Thomas G. Dietterich: Learning at the Knowledge Level. (1986) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1986) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1987) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1987) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1987) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1987) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1988) authored by Thomas G. Dietterich. Thomas G. Dietterich: News and Notes. (1989) authored by Thomas G. Dietterich. Thomas G. Dietterich: Exploratory Research in Machine Learning. (1990) authored by Thomas G. Dietterich. Thomas G. Dietterich: Editorial. (1992) authored by Thomas G. Dietterich. Thomas G. Dietterich: Editorial. (1993) authored by Thomas G. Dietterich. Thomas G. Dietterich: Editorial: New Editorial Board Members. (1994) authored by Thomas G. Dietterich. Thomas G. Dietterich: Editorial. (1996) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: News and Notes. (1986) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: A Comparison of ID3 and Backpropagation for English Text-to-Speech Mapping. (1995) authored by Thomas G. Dietterich. Nicholas S. Flann and Thomas G. Dietterich: A Study of Explanation-Based Methods for Inductive Learning. (1989) authored by Thomas G. Dietterich. Yves Kodratoff et al.: News and Notes. (1986) authored by Thomas G. Dietterich. Simone Stumpf et al.: Interacting meaningfully with machine learning systems: Three experiments. (2009) authored by Thomas G. Dietterich. Valentina Bayer Zubek and Thomas G. Dietterich: Integrating Learning from Examples into the Search for Diagnostic Policies. (2005) authored by Thomas G. Dietterich. Ethan W. Dereszynski and Thomas G. Dietterich: Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns. (2011) authored by Thomas G. Dietterich. Hussein Almuallim and Thomas G. Dietterich: Learning Boolean Concepts in the Presence of Many Irrelevant Features. (1994) authored by Thomas G. Dietterich. Thomas G. Dietterich et al.: Solving the Multiple Instance Problem with Axis-Parallel Rectangles. (1997) authored by Thomas G. Dietterich. Thomas G. Dietterich and Ryszard S. Michalski: Discovering Patterns in Sequences of Events. (1985) authored by Thomas G. Dietterich. Thomas G. Dietterich: Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. (1998) authored by Thomas G. Dietterich. Shubhomoy Das et al.: Discovering Anomalies by Incorporating Feedback from an Expert. (2020) authored by Thomas G. Dietterich. Md Amran Siddiqui et al.: Sequential Feature Explanations for Anomaly Detection. (2019) authored by Thomas G. Dietterich. Dan Hendrycks et al.: Deep Anomaly Detection with Outlier Exposure. (2018) authored by Thomas G. Dietterich. Erich Merrill et al.: Deep Convolution for Irregularly Sampled Temporal Point Clouds. (2021) authored by Thomas G. Dietterich. Thomas G. Dietterich and Alexander Guyer: The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods. (2022) authored by Thomas G. Dietterich. Shiv Shankar et al.: Three-quarter Sibling Regression for Denoising Observational Data. (2021) authored by Thomas G. Dietterich. Thomas G. Dietterich: State Abstraction in MAXQ Hierarchical Reinforcement Learning (1999) authored by Thomas G. Dietterich. Ethan W. Dereszynski and Thomas G. Dietterich: Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams (2012) authored by Thomas G. Dietterich{'author_wikipedia_text': 'Thomas G. Dietterich is emeritus professor of computer science at Oregon State University. He is one of the pioneers of the field of machine learning. He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. In response to the media\\\\'s attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, Business Insider, Microsoft Research, CNET, and The Wall Street Journal.\\\\nAmong his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models.\\\\nThomas Dietterich was born in South Weymouth, Massachusetts, in 1954. His family later moved to New Jersey and then again to Illinois, where Tom graduated from Naperville Central High School. Dietterich then entered Oberlin College and began his undergraduate studies. In 1977, Dietterich graduated from Oberlin with a degree in mathematics, focusing on probability and statistics.\\\\nDietterich spent the following two years at the University of Illinois, Urbana-Champaign. After those two years, he began his doctoral studies in the Department of Computer Science at Stanford University. Dietterich received his Ph.D. in 1984 and moved to Corvallis, Oregon, where he was hired as an assistant professor in computer science. in 2013, he was named \\\"Distinguished Professor\\\". In 2016, Dietterich retired from his position at Oregon State University.\\\\nThroughout his career, Dietterich has worked to promote scientific publication and conference presentations. For many years, he was the editor of the MIT Press series on Adaptive Computation and Machine Learning. He also held the position of co-editor of the Morgan Claypool Synthesis Series on Artificial Intelligence and Machine Learning. He has organized several conferences and workshops including serving as Technical Program Co-Chair of the National Conference on Artificial Intelligence (AAAI-90), Technical Program Chair of the Neural Information Processing Systems (NIPS-2000) and General Chair of NIPS-2001. He served as founding President of the International Machine Learning Society and he has been a member of the IMLS Board since its founding. He is currently also a member of the Steering Committee of the Asian Conference on Machine Learning.\\\\nProfessor Dietterich is interested in all aspects of machine learning. There are three major strands of his research. First, he is interested in the fundamental questions of artificial intelligence and how machine learning can provide the basis for building integrated intelligent systems. Second, he is interested in ways that people and computers can collaborate to solve challenging problems. And third, he is interested in applying machine learning to problems in the ecological sciences and ecosystem management as part of the emerging field of computational sustainability.\\\\nOver his career, he has worked on a wide variety of problems ranging from drug design to user interfaces to computer security. His current focus is on ways that computer science methods can help advance ecological science and improve our management of the Earth\\\\'s ecosystems. This passion has led to several projects including research in wildfire management, invasive vegetation and understanding the distribution and migration of birds. For example, Dietterich\\\\'s research is helping scientists at the Cornell Lab of Ornithology answer questions like: How do birds decide to migrate north? How do they know when to land and stopover for a few days? How do they choose where to make a nest? Tens of thousands of volunteer birdwatchers (citizen scientists) all over the world contribute data to the study by submitting their bird sightings to the eBird website. The amount of data is overwhelming – in March 2012 they had over 3.1 million bird observations. Machine learning can uncover patterns in data to model the migration of species. But there are many other applications for the same techniques which will allow organizations to better manage our forests, oceans, and endangered species, as well as improve traffic flow, water systems, the electrical power grid, and more.\\\\nI realized I wanted to have an impact on something that really mattered – and certainly the whole Earth\\\\'s ecosystem, of which we are a part, is under threat in so many ways. And so if there\\\\'s some way that I can use my technical skills to improve both the science base and the tools needed for policy and management decisions, then I would like to do that. I am passionate about that.Dietterich has argued that the most realistic risks about the dangers of artificial intelligence are basic mistakes, breakdowns and cyberattacks, and the fact that it simply may not always work, rather than machines that become super powerful or destroy the human race. Dietterich considers machines becoming self-aware and trying to exterminate humans to be more science fiction than scientific fact. But to the extent that computer systems are given increasingly dangerous tasks, and asked to learn from and interpret their experiences, he said they may simply make mistakes. Instead, much of the work done in the AI safety community does indeed focus around accidents and design flaws.\\\\nThomas Dietterich was honored by Oregon State University in the spring of 2013 as a \\\"Distinguished Professor\\\" for his work as a pioneer in the field of machine learning and being one of the mostly highly cited scientists in his field. He has also earned exclusive \\\"Fellow\\\" status in the Association for the Advancement of Artificial Intelligence, the American Association for the Advancement of Science and the Association for Computing Machinery. Over his career, he obtained more than $30 million in research grants, helped build a world-class research group at Oregon State, and created three software companies. He also co-founded two of the field\\\\'s leading journals and was elected first president of the International Machine Learning Society.\\\\nHis other awards and honors include:'}\",\n \"verbalizer_on_all_triples\": \"Thomas G Dietterich wrote 12 papers in 2012.\\nThomas G Dietterich wrote 11 papers in 2013.\\nThomas G Dietterich wrote 10 papers in 2014.\\nThomas G Dietterich wrote 15 papers in 2015.\\nThomas G Dietterich wrote 4 papers in 2016.\\nThomas G Dietterich wrote 12 papers in 2017.\\nThomas G Dietterich wrote 18 papers in 2018.\\nThomas G Dietterich wrote 8 papers in 2019.\\nThomas G. Dietterich has a written paper amount in year 2020 of 8 pages.\\nThomas G Dietterich has written paper amount in year2021: 9.\\nThomas G Dietterich wrote 7 papers in 2022.\\nThomas G Dietterich's written paper amount in year2023 is 1.\\nThomas G. Dietterich has a 2YrMeanCitedness of 7.2941174507141113281.\\nThomas G Dietterich is affiliated with Oregon State University, School of Electrical Engineering and Computer Science.\\nThe alternative names for Thomas G. Dietterich are T. G. Dietterich, Thomas Glen Dietterich and Thomas G. Dietterich.\\n\\\"Jianqiang Shen and Thomas G. Dietterich: A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. (2009), Shubhomoy Das et al.: Incorporating Expert Feedback into Active Anomaly Discovery. (2016), Thomas G. Dietterich and Ryszard S. Michalski: Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. (1979\\nThomas G. Dietterich is cited by count of 26558.\\nLuc De Raedt et al.: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008) was edited by Thomas G. Dietterich. Todd K. Leen et al.: Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, British Columbia, Canada (2001) was edited by Thomas G. Dietterich. Howard E. Shrobe et al.\\nThomas G. Dietterich has a h-index of 57.\\nThomas G. Dietterich is the author of i10Index which is 135.\\nThomas G Dietterich is the creator and the author of Thomas G Dietterich.\\nThomas G. Dietterich is linked to \\\"https://mathscinet.ams.org/mathscinet/MRAuthorID/354375, http://web.engr.oregonstate.edu/<unk>tgd/, http://www.wikidata.org/entity/Q27663657, https://mathgenealogy.org/id.php?id=71702, https://en.wikipedia.org/wiki/Thomas\\nThomas G. Dietterich is a member of Oregon State University.\\nThomas G. Dietterich was modified on 2023-10-18.\\nThomas G Dietterich is the name of Thomas G Dietterich.\\nThomas G. Dietterich has orcidId https://orcid.org/0000-0002-8223-8586.\\nThomas G Dietterich is affiliated with Oregon State University, School of Electrical Engineering and Computer Science.\\nThomas G. Dietterich has 320 works.{'author_wikipedia_text': 'Thomas G. Dietterich is emeritus professor of computer science at Oregon State University. He is one of the pioneers of the field of machine learning. He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. In response to the media\\\\'s attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, Business Insider, Microsoft Research, CNET, and The Wall Street Journal.\\\\nAmong his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models.\\\\nThomas Dietterich was born in South Weymouth, Massachusetts, in 1954. His family later moved to New Jersey and then again to Illinois, where Tom graduated from Naperville Central High School. Dietterich then entered Oberlin College and began his undergraduate studies. In 1977, Dietterich graduated from Oberlin with a degree in mathematics, focusing on probability and statistics.\\\\nDietterich spent the following two years at the University of Illinois, Urbana-Champaign. After those two years, he began his doctoral studies in the Department of Computer Science at Stanford University. Dietterich received his Ph.D. in 1984 and moved to Corvallis, Oregon, where he was hired as an assistant professor in computer science. in 2013, he was named \\\"Distinguished Professor\\\". In 2016, Dietterich retired from his position at Oregon State University.\\\\nThroughout his career, Dietterich has worked to promote scientific publication and conference presentations. For many years, he was the editor of the MIT Press series on Adaptive Computation and Machine Learning. He also held the position of co-editor of the Morgan Claypool Synthesis Series on Artificial Intelligence and Machine Learning. He has organized several conferences and workshops including serving as Technical Program Co-Chair of the National Conference on Artificial Intelligence (AAAI-90), Technical Program Chair of the Neural Information Processing Systems (NIPS-2000) and General Chair of NIPS-2001. He served as founding President of the International Machine Learning Society and he has been a member of the IMLS Board since its founding. He is currently also a member of the Steering Committee of the Asian Conference on Machine Learning.\\\\nProfessor Dietterich is interested in all aspects of machine learning. There are three major strands of his research. First, he is interested in the fundamental questions of artificial intelligence and how machine learning can provide the basis for building integrated intelligent systems. Second, he is interested in ways that people and computers can collaborate to solve challenging problems. And third, he is interested in applying machine learning to problems in the ecological sciences and ecosystem management as part of the emerging field of computational sustainability.\\\\nOver his career, he has worked on a wide variety of problems ranging from drug design to user interfaces to computer security. His current focus is on ways that computer science methods can help advance ecological science and improve our management of the Earth\\\\'s ecosystems. This passion has led to several projects including research in wildfire management, invasive vegetation and understanding the distribution and migration of birds. For example, Dietterich\\\\'s research is helping scientists at the Cornell Lab of Ornithology answer questions like: How do birds decide to migrate north? How do they know when to land and stopover for a few days? How do they choose where to make a nest? Tens of thousands of volunteer birdwatchers (citizen scientists) all over the world contribute data to the study by submitting their bird sightings to the eBird website. The amount of data is overwhelming – in March 2012 they had over 3.1 million bird observations. Machine learning can uncover patterns in data to model the migration of species. But there are many other applications for the same techniques which will allow organizations to better manage our forests, oceans, and endangered species, as well as improve traffic flow, water systems, the electrical power grid, and more.\\\\nI realized I wanted to have an impact on something that really mattered – and certainly the whole Earth\\\\'s ecosystem, of which we are a part, is under threat in so many ways. And so if there\\\\'s some way that I can use my technical skills to improve both the science base and the tools needed for policy and management decisions, then I would like to do that. I am passionate about that.Dietterich has argued that the most realistic risks about the dangers of artificial intelligence are basic mistakes, breakdowns and cyberattacks, and the fact that it simply may not always work, rather than machines that become super powerful or destroy the human race. Dietterich considers machines becoming self-aware and trying to exterminate humans to be more science fiction than scientific fact. But to the extent that computer systems are given increasingly dangerous tasks, and asked to learn from and interpret their experiences, he said they may simply make mistakes. Instead, much of the work done in the AI safety community does indeed focus around accidents and design flaws.\\\\nThomas Dietterich was honored by Oregon State University in the spring of 2013 as a \\\"Distinguished Professor\\\" for his work as a pioneer in the field of machine learning and being one of the mostly highly cited scientists in his field. He has also earned exclusive \\\"Fellow\\\" status in the Association for the Advancement of Artificial Intelligence, the American Association for the Advancement of Science and the Association for Computing Machinery. Over his career, he obtained more than $30 million in research grants, helped build a world-class research group at Oregon State, and created three software companies. He also co-founded two of the field\\\\'s leading journals and was elected first president of the International Machine Learning Society.\\\\nHis other awards and honors include:'}\",\n \"verbalizer_plus_evidence_matching\": \"Thomas G Dietterich wrote 11 papers in 2013.\\nThomas G Dietterich wrote 10 papers in 2014.\\nThomas G Dietterich wrote 15 papers in 2015.\\nThomas G Dietterich wrote 4 papers in 2016.\\nThomas G Dietterich wrote 12 papers in 2017.\\nThomas G Dietterich wrote 18 papers in 2018.\\nThomas G Dietterich wrote 8 papers in 2019.\\nThomas G. Dietterich has a written paper amount in year 2020 of 8 pages.\\nThomas G Dietterich has written paper amount in year2021: 9.\\nThomas G Dietterich wrote 7 papers in 2022.\\nThomas G Dietterich's written paper amount in year2023 is 1.\\n\\\"Eun Bae Kong and Thomas G. Dietterich: Error-Correcting Output Coding Corrects Bias and Variance. (1995), Shubhomoy Das et al.: Discovering Anomalies by Incorporating Feedback from an Expert. (2020), Thomas G. Dietterich and Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes. (1995), Ritchey A.\\nThomas G. Dietterich is cited by count of 26558. There are three major strands of his research. He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. For many years, he was the editor of the MIT Press series on Adaptive Computation and Machine Learning. \\\\nAmong his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models. But to the extent that computer systems are given increasingly dangerous tasks, and asked to learn from and interpret their experiences, he said they may simply make mistakes. He also co-founded two of the field\\\\'s leading journals and was elected first president of the International Machine Learning Society. \\\\nOver his career, he has worked on a wide variety of problems ranging from drug design to user interfaces to computer security. In response to the media\\\\'s attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, Business Insider, Microsoft Research, CNET, and The Wall Street Journal. \\\\nThomas Dietterich was honored by Oregon State University in the spring of 2013 as a \\\"Distinguished Professor\\\" for his work as a pioneer in the field of machine learning and being one of the mostly highly cited scientists in his field\"\n}"}}},{"rowIdx":73,"cells":{"id":{"kind":"string","value":"64a21bcd-3c3e-4460-9939-eac54cf91694"},"triples_number":{"kind":"number","value":470,"string":"470"},"question":{"kind":"string","value":"What is the number of papers for the affiliation in which the author of 'Faster Radix Sort via Virtual Memory and Write-Combining' is affiliated?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"49\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"49\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"57\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"57\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"76\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"76\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"40\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"40\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"42\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"42\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"41\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"41\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"55\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"55\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"0.51999998092651367188\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"Max Planck Institute for Informatics\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Peter Sanders 0001\"\n },\n {\n \"object\": \"Karlsruhe Institute of Technology, Department of Informatics\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Peter Sanders 0001\"\n },\n {\n \"object\": \"P. Sanders\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"P. W. Sanders\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"Peter Sanders\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"Peter W. Sanders\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"Peter William Sanders\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Peter Sanders\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dominik Schreiber and Peter Sanders: Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling. (2022)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lars Arge et al.: On (Dynamic) Range Minimum Queries in External Memory. (2013)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Holger Hopp and Peter Sanders: Parallel Game Tree Search on SIMD Machines. (1995)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders: Better Algorithms for Parallel Backtracking. (1995)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders: Fast Priority Queues for Parallel Branch-and-Bound. (1995)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders and Thomas Hansch: Efficient Massively Parallel Quicksort. (1997)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders: Reconciling simplicity and realism in parallel disk models. (2001)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andreas Crauser et al.: A Parallelization of Dijkstra's Shortest Path Algorithm. (1998)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Piotr Krysta et al.: Scheduling and Traffic Allocation for Tasks with Bounded Splittability. (2003)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stefan Edelkamp et al.: Semi-external LTL Model Checking. (2008)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Valentin Buchhold et al.: Efficient Calculation of Microscopic Travel Demand Data with Low Calibration Effort. (2019)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Jung et al.: Engineering efficient error-correcting geocoding. (2011)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fabian Kulla and Peter Sanders: Scalable Parallel Suffix Array Construction. (2006)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralf H. Reussner et al.: SKaMPI: A Detailed, Accurate MPI Benchmark. (1998)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders et al.: Full Bandwidth Broadcast, Reduction and Scan with Only Two Trees. (2007)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Sanders and Jesper Larsson Träff: Parallel Prefix (Scan) Algorithms for MPI. (2006)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johannes Fischer et al.: Engineering a Distributed Full-Text Index. (2017)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yaroslav Akhremtsev et al.: Engineering a direct k-way Hypergraph Partitioning Algorithm. (2017)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yaroslav Akhremtsev et al.: (Semi-)External Algorithms for Graph Partitioning and Clustering. (2015)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Axtmann and Peter Sanders: Robust Massively Parallel Sorting. (2017)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hannah Bast et al.: In Transit to Constant Time Shortest-Path Queries in Road Networks. (2007)\"\n },\n {\n \"object\": \"Peter Sanders 0001\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gernot Veit Batz et al.: Time-Dependent Contraction Hierarchies. 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Jan Wassenberg and Peter Sanders: Engineering a Multi-core Radix Sort. (2011) authored by Peter Sanders 0001. Roman Dementiev and Peter Sanders: Asynchronous parallel disk sorting. (2003) authored by Peter Sanders 0001. Michael Axtmann et al.: Engineering In-place (Shared-memory) Sorting Algorithms. (2022) authored by Peter Sanders 0001. Michael Axtmann et al.: Engineering In-place (Shared-memory) Sorting Algorithms. (2020) authored by Peter Sanders 0001. Peter Sanders: Random Permutations on Distributed, External and Hierarchical Memory. (1998) authored by Peter Sanders 0001. Michael Axtmann et al.: Practical Massively Parallel Sorting. (2015) authored by Peter Sanders 0001. Peter Sanders and Thomas Hansch: Efficient Massively Parallel Quicksort. (1997) authored by Peter Sanders 0001. Mirko Rahn et al.: Scalable Distributed-Memory External Sorting (2009) authored by Peter Sanders 0001. Peter Sanders: Algorithm engineering for scalable parallel external sorting. (2010) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering for Scalable Parallel External Sorting. (2011) authored by Peter Sanders 0001. Mirko Rahn et al.: Scalable distributed-memory external sorting. (2010) authored by Peter Sanders 0001. David A. Hutchinson et al.: The power of duality for prefetching and sorting with parallel disks. (2001) authored by Peter Sanders 0001. Peter Sanders et al.: Fast concurrent access to parallel disks. (2000) authored by Peter Sanders 0001. Timo Bingmann and Peter Sanders: Parallel String Sample Sort (2013) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering Parallel String Sorting. (2017) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering Parallel String Sorting. (2014) authored by Peter Sanders 0001. Johannes Fischer et al.: Engineering a Distributed Full-Text Index. (2016) authored by Peter Sanders 0001. Michael Axtmann and Peter Sanders: Robust Massively Parallel Sorting. (2016) authored by Peter Sanders 0001. Peter Sanders et al.: Fast Concurrent Access to Parallel Disks. (2003) authored by Peter Sanders 0001. Michael Axtmann et al.: Practical Massively Parallel Sorting - Basic Algorithmic Ideas. (2014) authored by Peter Sanders 0001. Johannes Fischer et al.: Engineering a Distributed Full-Text Index. (2017) authored by Peter Sanders 0001. Roman Dementiev et al.: Better External Memory Suffix Array Construction. (2005) authored by Peter Sanders 0001. Andreas Beckmann et al.: Energy-efficient sorting using solid state disks. (2010) authored by Peter Sanders 0001. Peter Sanders: Algorithms for Memory Hierarchies (Column: Algorithmics). (2004) authored by Peter Sanders 0001. Michael Axtmann and Peter Sanders: Robust Massively Parallel Sorting. (2017) authored by Peter Sanders 0001. Peter Sanders: Fast Priority Queues for Cached Memory. (2000) authored by Peter Sanders 0001. Timo Bingmann and Peter Sanders: Parallel String Sample Sort. (2013) authored by Peter Sanders 0001. Michael Axtmann et al.: In-Place Parallel Super Scalar Samplesort (IPSSSSo). (2017) authored by Peter Sanders 0001. Michael Axtmann et al.: In-place Parallel Super Scalar Samplesort (IPSSSSo). (2017) authored by Peter Sanders 0001. Peter Sanders: Fast Priority Queues for Cached Memory. (1999) authored by Peter Sanders 0001. Andreas Beckmann et al.: Energy-efficient sorting using solid state disks. (2011) authored by Peter Sanders 0001. Peter Sanders and Jesper Larsson Träff: Parallel Prefix (Scan) Algorithms for MPI. (2006) authored by Peter Sanders 0001. Fabian Kulla and Peter Sanders: Scalable Parallel Suffix Array Construction. (2006) authored by Peter Sanders 0001. Peter Sanders and Sebastian Winkel: Super Scalar Sample Sort. (2004) authored by Peter Sanders 0001. Ingo Müller et al.: Cache-Efficient Aggregation: Hashing Is Sorting. (2015) authored by Peter Sanders 0001. Roman Dementiev et al.: Better external memory suffix array construction. (2008) authored by Peter Sanders 0001. Nikolaj Leischner et al.: GPU sample sort (2009) authored by Peter Sanders 0001. Fabian Kulla and Peter Sanders: Scalable parallel suffix array construction. (2007) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Shared-Memory n-level Hypergraph Partitioning. (2022) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Shared-Memory n-level Hypergraph Partitioning. (2021) authored by Peter Sanders 0001. Nikolaj Leischner et al.: GPU sample sort. (2010) authored by Peter Sanders 0001. Timo Bingmann et al.: Communication-Efficient String Sorting. (2020) authored by Peter Sanders 0001. Timo Bingmann et al.: Communication-Efficient String Sorting. (2020) authored by Peter Sanders 0001. Peter Sanders: Parallel Algorithms Reconsidered (Invited Talk). (2015) authored by Peter Sanders 0001. Peter Sanders: Memory Hierarchies - Models and Lower Bounds. (2002) authored by Peter Sanders 0001. Peter Sanders and Tim Niklas Uhl: Engineering a Distributed-Memory Triangle Counting Algorithm. (2023) authored by Peter Sanders 0001 His research concerns the design, analysis, and implementation of algorithms and data structures, and he is particularly known for his research on suffix sorting finding shortest paths in road networks. {'author_wikipedia_text': 'Peter Sanders (born 1967) is a German computer scientist who works as a professor of computer science at the Karlsruhe Institute of Technology\",\n \"plain\": \"Peter Sanders is Author. Peter Sanders modified 2023-10-18. Peter Sanders citedByCount 10988. Peter Sanders written paper amount in year2012: 15. Peter Sanders written paper amount in year2012: 15. Peter Sanders written paper amount in year2013: 49. Peter Sanders written paper amount in year2013: 49. Peter Sanders written paper amount in year2014: 57. Peter Sanders written paper amount in year2014: 57. Peter Sanders written paper amount in year2015: 76. Peter Sanders written paper amount in year2015: 76. Peter Sanders written paper amount in year2016: 40. Peter Sanders written paper amount in year2016: 40. Peter Sanders written paper amount in year2017: 42. Peter Sanders written paper amount in year2017: 42. Peter Sanders written paper amount in year2018: 41. Peter Sanders written paper amount in year2018: 41. Peter Sanders written paper amount in year2019: 55. Peter Sanders written paper amount in year2019: 55. Peter Sanders written paper amount in year2020: 29. Peter Sanders written paper amount in year2020: 29. Peter Sanders written paper amount in year2021: 21. Peter Sanders written paper amount in year2021: 21. Peter Sanders written paper amount in year2022: 21. Peter Sanders written paper amount in year2022: 21. Peter Sanders written paper amount in year2023: 20. Peter Sanders written paper amount in year2023: 20. Peter Sanders worksCount 779. Peter Sanders name Peter Sanders. Peter Sanders member of Karlsruhe Institute of Technology. Peter Sanders h-index 49. Peter Sanders 2YrMeanCitedness 0.51999998092651367188. Peter Sanders alternativeName P. Sanders. Peter Sanders alternativeName P. W. Sanders. Peter Sanders alternativeName Peter Sanders. Peter Sanders alternativeName Peter W. Sanders. Peter Sanders alternativeName Peter William Sanders. Peter Sanders i10Index 181. Peter Sanders orcidId https://orcid.org/0000-0003-3330-9349. Peter Sanders 0001 is Creator. Peter Sanders 0001 is Person. Peter Sanders 0001 link http://www.wikidata.org/entity/Q2078004. Peter Sanders 0001 affiliation Max Planck Institute for Informatics. Peter Sanders 0001 affiliation Karlsruhe Institute of Technology, Department of Informatics. Peter Sanders 0001 creator note award (2012): Gottfried Wilhelm Leibniz Prize. Peter Sanders 0001 link http://algo2.iti.uni-karlsruhe.de/sanders.php. Peter Sanders 0001 primary affiliation Karlsruhe Institute of Technology, Department of Informatics. Peter Sanders 0001 link http://algo2.iti.uni-karlsruhe.de/sanders.php. Peter Sanders 0001 link https://scholar.google.com/citations?user=0xWltyAAAAAJ. Peter Sanders 0001 link https://dl.acm.org/profile/81100534206. Peter Sanders 0001 link https://zbmath.org/authors/?q=ai:sanders.peter. Peter Sanders 0001 link https://mathgenealogy.org/id.php?id=185579. Peter Sanders 0001 link https://en.wikipedia.org/wiki/Peter_Sanders_(computer_scientist). Dominik Schreiber and Peter Sanders: Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling. (2022) authored by Peter Sanders 0001. Lars Arge et al.: On (Dynamic) Range Minimum Queries in External Memory. (2013) authored by Peter Sanders 0001. Holger Hopp and Peter Sanders: Parallel Game Tree Search on SIMD Machines. (1995) authored by Peter Sanders 0001. Peter Sanders: Better Algorithms for Parallel Backtracking. (1995) authored by Peter Sanders 0001. Peter Sanders: Fast Priority Queues for Parallel Branch-and-Bound. (1995) authored by Peter Sanders 0001. Peter Sanders and Thomas Hansch: Efficient Massively Parallel Quicksort. (1997) authored by Peter Sanders 0001. Peter Sanders: Reconciling simplicity and realism in parallel disk models. (2001) authored by Peter Sanders 0001. Andreas Crauser et al.: A Parallelization of Dijkstra's Shortest Path Algorithm. (1998) authored by Peter Sanders 0001. Piotr Krysta et al.: Scheduling and Traffic Allocation for Tasks with Bounded Splittability. (2003) authored by Peter Sanders 0001. Stefan Edelkamp et al.: Semi-external LTL Model Checking. (2008) authored by Peter Sanders 0001. Valentin Buchhold et al.: Efficient Calculation of Microscopic Travel Demand Data with Low Calibration Effort. (2019) authored by Peter Sanders 0001. Christian Jung et al.: Engineering efficient error-correcting geocoding. (2011) authored by Peter Sanders 0001. Fabian Kulla and Peter Sanders: Scalable Parallel Suffix Array Construction. (2006) authored by Peter Sanders 0001. Ralf H. Reussner et al.: SKaMPI: A Detailed, Accurate MPI Benchmark. (1998) authored by Peter Sanders 0001. Peter Sanders et al.: Full Bandwidth Broadcast, Reduction and Scan with Only Two Trees. (2007) authored by Peter Sanders 0001. Peter Sanders and Jesper Larsson Träff: Parallel Prefix (Scan) Algorithms for MPI. (2006) authored by Peter Sanders 0001. Johannes Fischer et al.: Engineering a Distributed Full-Text Index. (2017) authored by Peter Sanders 0001. Peter Sanders and Norbert Zeh: Proceedings of the 15th Meeting on Algorithm Engineering and Experiments, ALENEX 2013, New Orleans, Louisiana, USA, January 7, 2013 (2013) edited by Peter Sanders 0001. Yaroslav Akhremtsev et al.: Engineering a direct k-way Hypergraph Partitioning Algorithm. (2017) authored by Peter Sanders 0001. Yaroslav Akhremtsev et al.: (Semi-)External Algorithms for Graph Partitioning and Clustering. (2015) authored by Peter Sanders 0001. Michael Axtmann and Peter Sanders: Robust Massively Parallel Sorting. (2017) authored by Peter Sanders 0001. Hannah Bast et al.: In Transit to Constant Time Shortest-Path Queries in Road Networks. (2007) authored by Peter Sanders 0001. Gernot Veit Batz et al.: Time-Dependent Contraction Hierarchies. (2009) authored by Peter Sanders 0001. Marcel Birn et al.: Simple and Fast Nearest Neighbor Search. (2010) authored by Peter Sanders 0001. Valentin Buchhold et al.: Fast, Exact and Scalable Dynamic Ridesharing. (2021) authored by Peter Sanders 0001. Roman Dementiev et al.: Engineering a Sorted List Data Structure for 32 Bit Key. (2004) authored by Peter Sanders 0001. Roman Dementiev et al.: Better External Memory Suffix Array Construction. (2005) authored by Peter Sanders 0001. Daniel Funke and Peter Sanders: Parallel d-D Delaunay Triangulations in Shared and Distributed Memory. (2017) authored by Peter Sanders 0001. Robert Geisberger et al.: Route Planning with Flexible Objective Functions. (2010) authored by Peter Sanders 0001. Robert Geisberger et al.: Better Approximation of Betweenness Centrality. (2008) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Shared-Memory n-level Hypergraph Partitioning. (2022) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Scalable Shared-Memory Hypergraph Partitioning. (2021) authored by Peter Sanders 0001. Sebastian Knopp et al.: Computing Many-to-Many Shortest Paths Using Highway Hierarchies. (2007) authored by Peter Sanders 0001. Florian Kurpicz et al.: PaCHash: Packed and Compressed Hash Tables. (2023) authored by Peter Sanders 0001. Sebastian Lamm et al.: Finding Near-Optimal Independent Sets at Scale. (2016) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: SicHash - Small Irregular Cuckoo Tables for Perfect Hashing. (2023) authored by Peter Sanders 0001. Vitaly Osipov et al.: The Filter-Kruskal Minimum Spanning Tree Algorithm. (2009) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering - An Attempt at a Definition Using Sorting as an Example. (2010) authored by Peter Sanders 0001. Peter Sanders: Fast Priority Queues for Cached Memory. (1999) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Distributed Evolutionary Graph Partitioning. (2012) authored by Peter Sanders 0001. Peter Sanders and Frederik Transier: Intersection in Integer Inverted Indices. (2007) authored by Peter Sanders 0001. Sebastian Schlag et al.: k-way Hypergraph Partitioning via n-Level Recursive Bisection. (2016) authored by Peter Sanders 0001. Frederik Transier and Peter Sanders: Compressed Inverted Indexes for In-Memory Search Engines. (2008) authored by Peter Sanders 0001. Jonathan Dees and Peter Sanders: Efficient many-core query execution in main memory column-stores. (2013) authored by Peter Sanders 0001. Mirko Rahn et al.: Scalable distributed-memory external sorting. (2010) authored by Peter Sanders 0001. Peter Sanders et al.: High Performance Integer Optimization for Crew Scheduling. (1999) authored by Peter Sanders 0001. Peter Sanders and Johannes Singler: Kürzeste Wege. (2008) authored by Peter Sanders 0001. Ingo Müller et al.: Cache-Efficient Aggregation: Hashing Is Sorting. (2015) authored by Peter Sanders 0001. Peter Sanders and Dennis Schieferdecker: Lifetime Maximization of Monitoring Sensor Networks. (2010) authored by Peter Sanders 0001. Bernhard Beckert et al.: Relational Equivalence Proofs Between Imperative and MapReduce Algorithms. (2018) authored by Peter Sanders 0001. Robert Geisberger et al.: Fast Detour Computation for Ride Sharing. (2010) authored by Peter Sanders 0001. Robert Geisberger and Peter Sanders: Engineering Time-Dependent Many-to-Many Shortest Paths Computation. (2010) authored by Peter Sanders 0001. Demian Hespe and Peter Sanders: More Hierarchy in Route Planning Using Edge Hierarchies. (2019) authored by Peter Sanders 0001. Timo Bingmann et al.: Thrill: High-performance algorithmic distributed batch data processing with C++. (2016) authored by Peter Sanders 0001. Peter Sanders: Connecting MapReduce Computations to Realistic Machine Models. (2020) authored by Peter Sanders 0001. Siegfried Benkner et al.: The PEPPHER Approach to Programmability and Performance Portability for Heterogeneous many-core Architectures. (2011) authored by Peter Sanders 0001. Peter Sanders: Algorithms for Scalable Storage Servers. (2004) authored by Peter Sanders 0001. Peter Sanders: Engineering Algorithms for Large Data Sets. (2013) authored by Peter Sanders 0001. David A. Bader et al.: Benchmarking for Graph Clustering and Partitioning. (2018) authored by Peter Sanders 0001. David A. Bader et al.: Benchmarking for Graph Clustering and Partitioning. (2014) authored by Peter Sanders 0001. Peter Sanders: A Case Study in Object Oriented Programming: Algebraic Structures in Eiffel. (1993) authored by Peter Sanders 0001. Thomas Liebig et al.: Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths. (2015) authored by Peter Sanders 0001. Julie Anne Cain et al.: The random graph threshold for k-orientiability and a fast algorithm for optimal multiple-choice allocation. (2007) authored by Peter Sanders 0001. Peter Sanders et al.: Fast concurrent access to parallel disks. (2000) authored by Peter Sanders 0001. Peter Sanders and David Steurer: An asymptotic approximation scheme for multigraph edge coloring. (2005) authored by Peter Sanders 0001. Yaroslav Akhremtsev and Peter Sanders: Fast Parallel Operations on Search Trees. (2016) authored by Peter Sanders 0001. Michael Axtmann et al.: Practical Massively Parallel Sorting. (2015) authored by Peter Sanders 0001. Roman Dementiev and Peter Sanders: Asynchronous parallel disk sorting. (2003) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Communication-Efficient Weighted Reservoir Sampling from Fully Distributed Data Streams. (2020) authored by Peter Sanders 0001. David A. Hutchinson et al.: The power of duality for prefetching and sorting with parallel disks. (2001) authored by Peter Sanders 0001. Hamza Rihani et al.: Brief Announcement: MultiQueues: Simple Relaxed Concurrent Priority Queues. (2015) authored by Peter Sanders 0001. Peter Sanders: Asynchronous scheduling of redundant disk arrays. (2000) authored by Peter Sanders 0001. Peter Sanders et al.: Polynomial time algorithms for network information flow. (2003) authored by Peter Sanders 0001. Peter Sanders et al.: Work-efficient matrix inversion in polylogarithmic time. (2013) authored by Peter Sanders 0001. Ingo Müller et al.: Retrieval and Perfect Hashing Using Fingerprinting. (2014) authored by Peter Sanders 0001. Julian Arz et al.: Transit Node Routing Reconsidered. (2013) authored by Peter Sanders 0001. Gernot Veit Batz et al.: Time-Dependent Contraction Hierarchies and Approximation. (2010) authored by Peter Sanders 0001. Reinhard Bauer et al.: Combining Hierarchical and Goal-Directed Speed-Up Techniques for Dijkstra's Algorithm. (2008) authored by Peter Sanders 0001. Timo Bingmann et al.: A Bulk-Parallel Priority Queue in External Memory with STXXL. (2015) authored by Peter Sanders 0001. Valentin Buchhold et al.: Real-Time Traffic Assignment Using Fast Queries in Customizable Contraction Hierarchies. (2018) authored by Peter Sanders 0001. Jakob Dahlum et al.: Accelerating Local Search for the Maximum Independent Set Problem. (2016) authored by Peter Sanders 0001. Peter C. Dillinger et al.: Fast Succinct Retrieval and Approximate Membership Using Ribbon. (2022) authored by Peter Sanders 0001. Stephan Erb et al.: Parallel Bi-objective Shortest Paths Using Weight-Balanced B-trees with Bulk Updates. (2014) authored by Peter Sanders 0001. Daniel Funke and Peter Sanders: Efficient Yao Graph Construction. (2023) authored by Peter Sanders 0001. Robert Geisberger et al.: Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks. (2008) authored by Peter Sanders 0001. Tobias Heuer et al.: Network Flow-Based Refinement for Multilevel Hypergraph Partitioning. (2018) authored by Peter Sanders 0001. Tim Kieritz et al.: Distributed Time-Dependent Contraction Hierarchies. (2010) authored by Peter Sanders 0001. Sebastian Lamm et al.: Graph Partitioning for Independent Sets. (2015) authored by Peter Sanders 0001. Jens Maue and Peter Sanders: Engineering Algorithms for Approximate Weighted Matching. (2007) authored by Peter Sanders 0001. Jens Maue et al.: Goal Directed Shortest Path Queries Using Precomputed Cluster Distances. (2006) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Partitioning Complex Networks via Size-Constrained Clustering. (2014) authored by Peter Sanders 0001. Vitaly Osipov et al.: Engineering Graph Partitioning Algorithms. (2012) authored by Peter Sanders 0001. Felix Putze et al.: Cache-, Hash- and Space-Efficient Bloom Filters. (2007) authored by Peter Sanders 0001. Ilya Safro et al.: Advanced Coarsening Schemes for Graph Partitioning. (2012) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Advanced Multilevel Node Separator Algorithms. (2016) authored by Peter Sanders 0001. Peter Sanders and Dominik Schultes: Engineering Fast Route Planning Algorithms. (2007) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Think Locally, Act Globally: Highly Balanced Graph Partitioning. (2013) authored by Peter Sanders 0001. Dominik Schultes and Peter Sanders: Dynamic Highway-Node Routing. (2007) authored by Peter Sanders 0001. Rolf Niedermeier et al.: Towards Optimal Locality in Mesh-Indexings. (1997) authored by Peter Sanders 0001. Amos Fiat and Peter Sanders: Algorithms - ESA 2009, 17th Annual European Symposium, Copenhagen, Denmark, September 7-9, 2009. Proceedings (2009) edited by Peter Sanders 0001. Fabrizio Grandoni et al.: 28th Annual European Symposium on Algorithms, ESA 2020, September 7-9, 2020, Pisa, Italy (Virtual Conference). (2020) edited by Peter Sanders 0001. Gernot Veit Batz and Peter Sanders: Time-Dependent Route Planning with Generalized Objective Functions. (2012) authored by Peter Sanders 0001. Dominik Bez et al.: High Performance Construction of RecSplit Based Minimal Perfect Hash Functions. (2023) authored by Peter Sanders 0001. Timo Bingmann and Peter Sanders: Parallel String Sample Sort. (2013) authored by Peter Sanders 0001. Roman Dementiev et al.: : Standard Template Library for XXL Data Sets. (2005) authored by Peter Sanders 0001. Paolo Ferragina et al.: Learned Monotone Minimal Perfect Hashing. (2023) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Deep Multilevel Graph Partitioning. (2021) authored by Peter Sanders 0001. David A. Hutchinson et al.: Duality between Prefetching and Queued Writing with Parallel Disks. (2001) authored by Peter Sanders 0001. Irit Katriel et al.: A Practical Minimum Spanning Tree Algorithm Using the Cycle Property. (2003) authored by Peter Sanders 0001. Florian Merz and Peter Sanders: PReaCH: A Fast Lightweight Reachability Index Using Pruning and Contraction Hierarchies. (2014) authored by Peter Sanders 0001. Peter Sanders and Dominik Schultes: Highway Hierarchies Hasten Exact Shortest Path Queries. (2005) authored by Peter Sanders 0001. Peter Sanders and Dominik Schultes: Engineering Highway Hierarchies. (2006) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Engineering Multilevel Graph Partitioning Algorithms. (2011) authored by Peter Sanders 0001. Peter Sanders et al.: Mobile Route Planning. (2008) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering. (2011) authored by Peter Sanders 0001. Leonor Frias et al.: Single-Pass List Partitioning. (2008) authored by Peter Sanders 0001. Jan Wassenberg et al.: An Efficient Parallel Algorithm for Graph-Based Image Segmentation. (2009) authored by Peter Sanders 0001. David A. Bader et al.: Graph Partitioning and Graph Clustering, 10th DIMACS Implementation Challenge Workshop, Georgia Institute of Technology, Atlanta, GA, USA, February 13-14, 2012. Proceedings (2013) edited by Peter Sanders 0001. Daniel Delling et al.: Highway Hierarchies Star. (2006) authored by Peter Sanders 0001. Peter Sanders and Dominik Schultes: Robust, Almost Constant Time Shortest-Path Queries in Road Networks. (2006) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: High quality graph partitioning. (2012) authored by Peter Sanders 0001. Tomás Balyo et al.: HordeSat: A Massively Parallel Portfolio SAT Solver. (2015) authored by Peter Sanders 0001. Dominik Schreiber and Peter Sanders: Scalable SAT Solving in the Cloud. (2021) authored by Peter Sanders 0001. Fredrik Manne et al.: Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, CSC 2018, Bergen, Norway, June 6-8, 2018. (2018) edited by Peter Sanders 0001. Peter Sanders et al.: Communication efficient algorithms for fundamental big data problems. (2013) authored by Peter Sanders 0001. Martin Weidner et al.: Fast OLAP query execution in main memory on large data in a cluster. (2013) authored by Peter Sanders 0001. Thomas Leibfried et al.: Operating Power Grids with Few Flow Control Buses. (2015) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Parallel Flow-Based Hypergraph Partitioning. (2022) authored by Peter Sanders 0001. Dennis Luxen and Peter Sanders: Hierarchy Decomposition for Faster User Equilibria on Road Networks. (2011) authored by Peter Sanders 0001. Tobias Maier et al.: Concurrent Expandable AMQs on the Basis of Quotient Filters. (2020) authored by Peter Sanders 0001. Johannes Fischer and Peter Sanders: Combinatorial Pattern Matching, 24th Annual Symposium, CPM 2013, Bad Herrenalb, Germany, June 17-19, 2013. Proceedings (2013) edited by Peter Sanders 0001. Lasse Kliemann and Peter Sanders: Algorithm Engineering - Selected Results and Surveys (2016) edited by Peter Sanders 0001. Hannah Bast et al.: Route Planning in Transportation Networks. (2016) authored by Peter Sanders 0001. Aydin Buluç et al.: Recent Advances in Graph Partitioning. (2016) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering - An Attempt at a Definition. (2009) authored by Peter Sanders 0001. Roman Dementiev et al.: Engineering an External Memory Minimum Spanning Tree Algorithm. (2004) authored by Peter Sanders 0001. Lukas Hübner et al.: Exploring parallel MPI fault tolerance mechanisms for phylogenetic inference with RAxML-NG. (2021) authored by Peter Sanders 0001. Peter Sanders and Dorothea Wagner: Algorithm Engineering. (2011) authored by Peter Sanders 0001. Mirko Rahn et al.: Scalable Distributed-Memory External Sorting (2009) authored by Peter Sanders 0001. Bernhard Beckert et al.: Relational Equivalence Proofs Between Imperative and MapReduce Algorithms. (2018) authored by Peter Sanders 0001. Julian Arz et al.: 3D Cell Nuclei Segmentation with Balanced Graph Partitioning. (2017) authored by Peter Sanders 0001. Peter Sanders et al.: Distributed Evolutionary k-way Node Separators. (2017) authored by Peter Sanders 0001. Demian Hespe and Peter Sanders: More Hierarchy in Route Planning Using Edge Hierarchies. (2019) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: Bipartite ShockHash: Pruning ShockHash Search for Efficient Perfect Hashing. (2023) authored by Peter Sanders 0001. Julian Arz et al.: Transit Node Routing Reconsidered (2013) authored by Peter Sanders 0001. Peter Sanders et al.: Distributed evolutionary k-way node separators. (2017) authored by Peter Sanders 0001. Anne Koziolek et al.: An equal opportunity concept for the coordinated research effort AESC. (2018) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering for Big Data. (2014) authored by Peter Sanders 0001. Guy E. Blelloch and Peter Sanders: 26th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA '14, Prague, Czech Republic - June 23 - 25, 2014 (2014) edited by Peter Sanders 0001. Peter Sanders: Asynchronous Random Polling Dynamic Load Balancing. (1999) authored by Peter Sanders 0001. Peter Sanders: Displaying Cell Broadcast messages. (2011) authored by Peter Sanders 0001. Nitin Ahuja et al.: Incorporating road networks into territory design. (2015) authored by Peter Sanders 0001. Torben Hagerup et al.: An Implementation of the Binary Blocking Flow Algorithm. (1998) authored by Peter Sanders 0001. Peter Sanders and Rudolf Fleischer: Asymptotic Complexity from Experiments? A Case Study for Randomized Algorithms. (2000) authored by Peter Sanders 0001. Roland Bader et al.: Alternative Route Graphs in Road Networks. (2011) authored by Peter Sanders 0001. Peter Sanders: Emulating MIMD Behaviour on SIMD-Machines. (1994) authored by Peter Sanders 0001. Gernot Veit Batz et al.: Efficient Route Compression for Hybrid Route Planning. (2012) authored by Peter Sanders 0001. Johannes Stegmaier et al.: Generating semi-synthetic validation benchmarks for embryomics. (2016) authored by Peter Sanders 0001. Peter Sanders: Massively Parallel Search for Transition-Tables of Polyautomata. (1994) authored by Peter Sanders 0001. Peter Sanders: On the Efficiency of Nearest Neighbor Load Balancing for Random Loads. (1996) authored by Peter Sanders 0001. Peter Sanders: Optimizing the Emulation of MIMD Behavior on SIMD Machines. (1996) authored by Peter Sanders 0001. Andreas Beckmann et al.: Energy-efficient sorting using solid state disks. (2010) authored by Peter Sanders 0001. Daniel Delling et al.: Engineering Route Planning Algorithms. (2009) authored by Peter Sanders 0001. Yaroslav Akhremtsev et al.: High-Quality Shared-Memory Graph Partitioning. (2018) authored by Peter Sanders 0001. Panayiotis Alefragis et al.: Parallel Crew Scheduling in PAROS. (1998) authored by Peter Sanders 0001. Marcel Birn et al.: Efficient Parallel and External Matching. (2013) authored by Peter Sanders 0001. Jonas Fietz et al.: Optimized Hybrid Parallel Lattice Boltzmann Fluid Flow Simulations on Complex Geometries. (2012) authored by Peter Sanders 0001. Peter Sanders and Jochen Speck: Energy Efficient Frequency Scaling and Scheduling for Malleable Tasks. (2012) authored by Peter Sanders 0001. Peter Sanders and Dominik Schreiber: Decentralized Online Scheduling of Malleable NP-hard Jobs. (2022) authored by Peter Sanders 0001. Peter Sanders and Daniel Seemaier: Distributed Deep Multilevel Graph Partitioning. (2023) authored by Peter Sanders 0001. Peter Sanders and Jesper Larsson Träff: The Hierarchical Factor Algorithm for All-to-All Communication (Research Note). (2002) authored by Peter Sanders 0001. Peter Sanders et al.: Feasible Models of Computation: Three-Dimensionality and Energy Consumption. (1997) authored by Peter Sanders 0001. Johannes Singler et al.: MCSTL: The Multi-core Standard Template Library. (2007) authored by Peter Sanders 0001. Jan Wassenberg and Peter Sanders: Engineering a Multi-core Radix Sort. (2011) authored by Peter Sanders 0001. Peter Sanders and Berthold Vöcking: Random Arc Allocation and Applications. (2002) authored by Peter Sanders 0001. Michael Axtmann et al.: Lightweight MPI Communicators with Applications to Perfectly Balanced Quicksort. (2018) authored by Peter Sanders 0001. Daniel Funke et al.: Communication-Free Massively Distributed Graph Generation. (2018) authored by Peter Sanders 0001. Sebastian Lamm and Peter Sanders: Communication-efficient Massively Distributed Connected Components. (2022) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering for Scalable Parallel External Sorting. (2011) authored by Peter Sanders 0001. Peter Sanders and Jochen Speck: Efficient Parallel Scheduling of Malleable Tasks. (2011) authored by Peter Sanders 0001. René Beier et al.: Energy Optimal Routing in Radio Networks Using Geometric Data Structures. (2002) authored by Peter Sanders 0001. Beat Gfeller and Peter Sanders: Towards Optimal Range Medians. (2009) authored by Peter Sanders 0001. Kanela Kaligosi et al.: Towards Optimal Multiple Selection. (2005) authored by Peter Sanders 0001. Juha Kärkkäinen and Peter Sanders: Simple Linear Work Suffix Array Construction. (2003) authored by Peter Sanders 0001. Peter Sanders et al.: Online Scheduling with Bounded Migration. (2004) authored by Peter Sanders 0001. Peter Sanders: Accessing Multiple Sequences Through Set Associative Caches. (1999) authored by Peter Sanders 0001. Fabian Kulla and Peter Sanders: Scalable parallel suffix array construction. (2007) authored by Peter Sanders 0001. U. W. Rathe et al.: A case study in scalability: An ADI method for the two-dimensional time-dependent Dirac equation. (1999) authored by Peter Sanders 0001. Peter Sanders: Reconciling simplicity and realism in parallel disk models. (2002) authored by Peter Sanders 0001. Peter Sanders: Analysis of nearest neighbor load balancing algorithms for random loads. (1999) authored by Peter Sanders 0001. Peter Sanders et al.: Two-tree algorithms for full bandwidth broadcast, reduction and scan. (2009) authored by Peter Sanders 0001. Peter Sanders: Random Permutations on Distributed, External and Hierarchical Memory. (1998) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Linear work generation of R-MAT graphs. (2020) authored by Peter Sanders 0001. Peter Sanders and Dominik Schreiber: Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling. (2022) authored by Peter Sanders 0001. Frederik Transier and Peter Sanders: Engineering basic algorithms of an in-memory text search engine. (2010) authored by Peter Sanders 0001. Peter Sanders and Berthold Vöcking: Tail Bounds And Expectations For Random Arc Allocation And Applications. (2003) authored by Peter Sanders 0001. Valentin Buchhold et al.: Fast, Exact and Scalable Dynamic Ridesharing. (2020) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Distributed Evolutionary Graph Partitioning (2011) authored by Peter Sanders 0001. Manuel Penschuck et al.: Recent Advances in Scalable Network Generation. (2020) authored by Peter Sanders 0001. Sebastian Lamm et al.: Graph Partitioning for Independent Sets. (2015) authored by Peter Sanders 0001. Sebastian Lamm et al.: Finding Near-Optimal Independent Sets at Scale. (2015) authored by Peter Sanders 0001. Peter Sanders: Hashing with Linear Probing and Referential Integrity. (2018) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Engineering Multilevel Graph Partitioning Algorithms (2010) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Parallel Flow-Based Hypergraph Partitioning. (2022) authored by Peter Sanders 0001. Dominik Bez et al.: High Performance Construction of RecSplit Based Minimal Perfect Hash Functions. (2022) authored by Peter Sanders 0001. Paolo Ferragina et al.: Learned Monotone Minimal Perfect Hashing. (2023) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: ShockHash: Towards Optimal-Space Minimal Perfect Hashing Beyond Brute-Force. (2023) authored by Peter Sanders 0001. Jonathan Dimond and Peter Sanders: Faster Exact Search using Document Clustering. (2014) authored by Peter Sanders 0001. Peter Sanders and Thomas Worsch: Parallele Programmierung mit MPI - ein Praktikum, Programmtexte im Internet. (1997) authored by Peter Sanders 0001. Peter Sanders et al.: Cellular Automata: Energy Consumption and Physical Feasibility. (2002) authored by Peter Sanders 0001. Peter Sanders and Norbert Zeh: Introduction to Special Issue ALENEX 2013. (2016) authored by Peter Sanders 0001. Gernot Veit Batz et al.: Minimum time-dependent travel times with contraction hierarchies. (2013) authored by Peter Sanders 0001. Reinhard Bauer et al.: Combining hierarchical and goal-directed speed-up techniques for dijkstra's algorithm. (2010) authored by Peter Sanders 0001. Valentin Buchhold et al.: Real-time Traffic Assignment Using Engineered Customizable Contraction Hierarchies. (2019) authored by Peter Sanders 0001. Roman Dementiev et al.: Better external memory suffix array construction. (2008) authored by Peter Sanders 0001. Robert Geisberger et al.: Route planning with flexible edge restrictions. (2012) authored by Peter Sanders 0001. Tobias Heuer et al.: Network Flow-Based Refinement for Multilevel Hypergraph Partitioning. (2019) authored by Peter Sanders 0001. Johannes Langguth et al.: Heuristic initialization for bipartite matching problems. (2010) authored by Peter Sanders 0001. Jens Maue et al.: Goal-directed shortest-path queries using precomputed cluster distances. (2009) authored by Peter Sanders 0001. Felix Putze et al.: Cache-, hash-, and space-efficient bloom filters. (2009) authored by Peter Sanders 0001. Ilya Safro et al.: Advanced Coarsening Schemes for Graph Partitioning. (2014) authored by Peter Sanders 0001. Peter Sanders: Fast Priority Queues for Cached Memory. (2000) authored by Peter Sanders 0001. Peter Sanders and Dominik Schultes: Engineering highway hierarchies. (2012) authored by Peter Sanders 0001. Sebastian Schlag et al.: High-Quality Hypergraph Partitioning. (2022) authored by Peter Sanders 0001. Peter Sanders: Randomized Priority Queues for Fast Parallel Access. (1998) authored by Peter Sanders 0001. Stefan Funke et al.: Constant Time Queries for Energy Efficient Paths in Multi-hop Wireless Networks. (2008) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Parallel Weighted Random Sampling. (2019) authored by Peter Sanders 0001. Michael Axtmann and Peter Sanders: Robust Massively Parallel Sorting. (2016) authored by Peter Sanders 0001. Peter Sanders: Time Dependent Contraction Hierarchies -- Basic Algorithmic Ideas (2008) authored by Peter Sanders 0001. Nikolaj Leischner et al.: GPU sample sort (2009) authored by Peter Sanders 0001. Tobias Maier and Peter Sanders: Dynamic Space Efficient Hashing. (2017) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Communication-Efficient (Weighted) Reservoir Sampling. (2019) authored by Peter Sanders 0001. Ilya Safro et al.: Advanced Coarsening Schemes for Graph Partitioning (2012) authored by Peter Sanders 0001. Timo Bingmann et al.: Scalable Text Index Construction. (2022) authored by Peter Sanders 0001. Peter Sanders: Lastverteilungsalgorithmen für parallele Tiefensuche. (1997) authored by Peter Sanders 0001. Daniel Funke et al.: Load-Balancing for Parallel Delaunay Triangulations. (2019) authored by Peter Sanders 0001. Ulrich Meyer and Peter Sanders: Parallel Shortest Path for Arbitrary Graphs. (2000) authored by Peter Sanders 0001. Peter Sanders and Jop F. Sibeyn: A Bandwidth Latency Tradeoff for Broadcast and Reduction. (2000) authored by Peter Sanders 0001. Thomas Breitbach et al.: Optimizing energy consumption and user experience in a mobile video streaming scenario. (2018) authored by Peter Sanders 0001. Peter Sanders: Parallel Algorithms Reconsidered (Invited Talk). (2015) authored by Peter Sanders 0001. Tobias Maier et al.: Locality Aware DAG-Scheduling for LU-Decomposition. (2015) authored by Peter Sanders 0001. Peter Sanders et al.: Real-time integrated prefetching and caching. (2013) authored by Peter Sanders 0001. Md. Maksudul Alam et al.: Novel Parallel Algorithms for Fast Multi-GPU-Based Generation of Massive Scale-Free Networks. (2019) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Parallel Graph Partitioning for Complex Networks. (2017) authored by Peter Sanders 0001. René Beier et al.: Energy-Efficient Paths in Radio Networks. (2011) authored by Peter Sanders 0001. Peter Sanders: Algorithms for Memory Hierarchies (Column: Algorithmics). (2004) authored by Peter Sanders 0001. Peter Sanders et al.: Online Scheduling with Bounded Migration. (2009) authored by Peter Sanders 0001. Jonathan Dimond and Peter Sanders: Faster Exact Search Using Document Clustering. (2015) authored by Peter Sanders 0001. Daniel Karch et al.: Improved Fast Similarity Search in Dictionaries. (2010) authored by Peter Sanders 0001. Frederik Transier and Peter Sanders: Out of the Box Phrase Indexing. (2008) authored by Peter Sanders 0001. Ümit V. Çatalyürek et al.: More Recent Advances in (Hyper)Graph Partitioning. (2023) authored by Peter Sanders 0001. Peter Sanders et al.: Efficient Parallel Random Sampling - Vectorized, Cache-Efficient, and Online. (2018) authored by Peter Sanders 0001. Gerth Stølting Brodal et al.: Towards optimal range medians. (2011) authored by Peter Sanders 0001. Seth Pettie and Peter Sanders: A simpler linear time 2/3-epsilon approximation for maximum weight matching. (2004) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Scalable generation of scale-free graphs. (2016) authored by Peter Sanders 0001. Juha Kärkkäinen et al.: Linear work suffix array construction. (2006) authored by Peter Sanders 0001. Peter Sanders: Randomized Receiver Initiated Load-balancing Algorithms for Tree-shaped Computations. (2002) authored by Peter Sanders 0001. Ralf H. Reussner et al.: SKaMPI: a comprehensive benchmark for public benchmarking of MPI. (2002) authored by Peter Sanders 0001. Gonzalo Navarro et al.: Stronger Quickheaps. (2011) authored by Peter Sanders 0001. Sidharth Jaggi et al.: Polynomial time algorithms for multicast network code construction. (2005) authored by Peter Sanders 0001. Peter Sanders: Engineering Parallel Algorithms: The multicore transformation (Ubiquity symposium). (2014) authored by Peter Sanders 0001. Michael Axtmann et al.: Lightweight MPI Communicators with Applications to Perfectly Balanced Schizophrenic Quicksort. (2017) authored by Peter Sanders 0001. Timo Bingmann et al.: A Bulk-Parallel Priority Queue in External Memory with STXXL. (2015) authored by Peter Sanders 0001. Daniel Funke et al.: Load-Balancing for Parallel Delaunay Triangulations. (2019) authored by Peter Sanders 0001. Robert Geisberger et al.: Fast Detour Computation for Ride Sharing (2009) authored by Peter Sanders 0001. Nitin Ahuja et al.: Incorporating Road Networks into Territory Design. (2015) authored by Peter Sanders 0001. Kurt Mehlhorn et al.: Engineering DFS-Based Graph Algorithms. (2017) authored by Peter Sanders 0001. Jakob Dahlum et al.: Accelerating Local Search for the Maximum Independent Set Problem. (2016) authored by Peter Sanders 0001. Peter Sanders: Connecting MapReduce Computations to Realistic Machine Models. (2020) authored by Peter Sanders 0001. Johannes Stegmaier et al.: Generating Semi-Synthetic Validation Benchmarks for Embryomics. (2016) authored by Peter Sanders 0001. Vitaly Osipov and Peter Sanders: n-Level Graph Partitioning (2010) authored by Peter Sanders 0001. Ümit V. Çatalyürek et al.: More Recent Advances in (Hyper)Graph Partitioning. (2022) authored by Peter Sanders 0001. Marcel Birn et al.: Efficient Parallel and External Matching (2013) authored by Peter Sanders 0001. Gernot Veit Batz et al.: Compressed Transmission of Route Descriptions (2010) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Linear Work Generation of R-MAT Graphs. (2019) authored by Peter Sanders 0001. Stephan Erb et al.: Multi-Objective Shortest Paths. (2022) authored by Peter Sanders 0001. Manuel Penschuck et al.: Recent Advances in Scalable Network Generation1. (2022) authored by Peter Sanders 0001. Kurt Mehlhorn and Peter Sanders: Algorithms and Data Structures: The Basic Toolbox. (2008) authored by Peter Sanders 0001. Peter Sanders and Johannes Singler: Shortest Paths. (2011) authored by Peter Sanders 0001. Martin Dietzfelbinger et al.: Algorithmen und Datenstrukturen - die Grundwerkzeuge. (2014) authored by Peter Sanders 0001. Michael Axtmann et al.: In-Place Parallel Super Scalar Samplesort (IPSSSSo). (2017) authored by Peter Sanders 0001. Daniel Funke et al.: A Sweep-Plane Algorithm for Calculating the Isolation of Mountains. (2023) authored by Peter Sanders 0001. Stefan Funke et al.: Approximating Energy Efficient Paths in Wireless Multi-hop Networks. (2003) authored by Peter Sanders 0001. Demian Hespe et al.: Pareto Sums of Pareto Sets. (2023) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Parallel Weighted Random Sampling. (2019) authored by Peter Sanders 0001. Kanela Kaligosi and Peter Sanders: How Branch Mispredictions Affect Quicksort. (2006) authored by Peter Sanders 0001. Tobias Maier and Peter Sanders: Dynamic Space Efficient Hashing. (2017) authored by Peter Sanders 0001. Ulrich Meyer and Peter Sanders: Delta-Stepping: A Parallel Single Source Shortest Path Algorithm. (1998) authored by Peter Sanders 0001. Vitaly Osipov and Peter Sanders: n-Level Graph Partitioning. (2010) authored by Peter Sanders 0001. Peter Sanders and Roberto Solis-Oba: How Helpers Hasten h-Relations. (2000) authored by Peter Sanders 0001. Peter Sanders and Sebastian Winkel: Super Scalar Sample Sort. (2004) authored by Peter Sanders 0001. Marvin Williams et al.: Engineering MultiQueues: Fast Relaxed Concurrent Priority Queues. (2021) authored by Peter Sanders 0001. Peter Sanders: A detailed analysis of random polling dynamic load balancing. (1994) authored by Peter Sanders 0001. Ulrich Meyer et al.: Algorithms for Memory Hierarchies, Advanced Lectures [Dagstuhl Research Seminar, March 10-14, 2002] (2003) edited by Peter Sanders 0001. Lubos Brim et al.: Graph Search Engineering, 29.11. - 04.12.2009 (2009) edited by Peter Sanders 0001. Giuseppe F. Italiano et al.: Algorithm Engineering, 27.06. - 02.07.2010 (2010) edited by Peter Sanders 0001. Giuseppe F. Italiano et al.: 10261 Executive Summary - Algorithm Engineering. (2010) authored by Peter Sanders 0001. Catherine C. McGeoch et al.: Using Finite Experiments to Study Asymptotic Performance. (2000) authored by Peter Sanders 0001. Peter Sanders: Presenting Data from Experiments in Algorithmics. (2000) authored by Peter Sanders 0001. Peter Sanders: Memory Hierarchies - Models and Lower Bounds. (2002) authored by Peter Sanders 0001. Peter Sanders et al.: Online Scheduling with Bounded Migration. (2005) authored by Peter Sanders 0001. Jan Wassenberg et al.: Vectorized and performance-portable quicksort. (2022) authored by Peter Sanders 0001. Ulrich Meyer and Peter Sanders: [Delta]-stepping: a parallelizable shortest path algorithm. (2003) authored by Peter Sanders 0001. Peter Sanders and Roberto Solis-Oba: How Helpers Hasten h-Relations. (2001) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Parallel Weighted Random Sampling. (2022) authored by Peter Sanders 0001. Peter Sanders and Jop F. Sibeyn: A bandwidth latency tradeoff for broadcast and reduction. (2003) authored by Peter Sanders 0001. Peter Sanders: Asynchronous Scheduling of Redundant Disk Arrays. (2003) authored by Peter Sanders 0001. Panayiotis Alefragis et al.: Parallel Integer Optimization for Crew Scheduling. (2000) authored by Peter Sanders 0001. Rolf Niedermeier et al.: Towards optimal locality in mesh-indexings. (2002) authored by Peter Sanders 0001. Lukas Hübner et al.: ReStore: In-Memory REplicated STORagE for Rapid Recovery in Fault-Tolerant Algorithms. (2022) authored by Peter Sanders 0001. David A. Bader et al.: Algorithm Engineering for Parallel Computation. (2000) authored by Peter Sanders 0001. Lubos Brim et al.: 09491 Abstracts Collection - Graph Search Engineering. (2009) authored by Peter Sanders 0001. Giuseppe F. Italiano et al.: 10261 Abstracts Collection - Algorithm Engineering. (2010) authored by Peter Sanders 0001. Tobias Maier et al.: Concurrent hash tables: fast and general?(!). (2016) authored by Peter Sanders 0001. Felix Putze et al.: MCSTL: the multi-core standard template library. (2007) authored by Peter Sanders 0001. Timo Bingmann et al.: Communication-Efficient String Sorting. (2020) authored by Peter Sanders 0001. Patrick Flick et al.: Malleable Sorting. (2013) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Communication Efficient Algorithms for Top-k Selection Problems. (2016) authored by Peter Sanders 0001. Nikolaj Leischner et al.: GPU sample sort. (2010) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Parallel Graph Partitioning for Complex Networks. (2015) authored by Peter Sanders 0001. Peter Sanders: Algorithm engineering for scalable parallel external sorting. (2010) authored by Peter Sanders 0001. Peter Sanders and Lawrence Mandow: Parallel Label-Setting Multi-objective Shortest Path Search. (2013) authored by Peter Sanders 0001. Peter Sanders and Matthias Schimek: Engineering Massively Parallel MST Algorithms. (2023) authored by Peter Sanders 0001. Peter Sanders and Tim Niklas Uhl: Engineering a Distributed-Memory Triangle Counting Algorithm. (2023) authored by Peter Sanders 0001. Martin Held et al.: Editorial. (2023) authored by Peter Sanders 0001. Peter Sanders et al.: Foreword. (2006) authored by Peter Sanders 0001. Yaroslav Akhremtsev et al.: High-Quality Shared-Memory Graph Partitioning. (2020) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering Parallel String Sorting. (2017) authored by Peter Sanders 0001. Tobias Maier et al.: Dynamic Space Efficient Hashing. (2019) authored by Peter Sanders 0001. Kurt Mehlhorn and Peter Sanders: Scanning Multiple Sequences Via Cache Memory. (2003) authored by Peter Sanders 0001. Peter Sanders et al.: Fast Concurrent Access to Parallel Disks. (2003) authored by Peter Sanders 0001. Robert Geisberger et al.: Exact Routing in Large Road Networks Using Contraction Hierarchies. (2012) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Scalable High-Quality Hypergraph Partitioning. (2024) authored by Peter Sanders 0001. Peter Sanders and David Steurer: An asymptotic approximation scheme for multigraph edge coloring. (2008) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Think Locally, Act Globally: Perfectly Balanced Graph Partitioning (2012) authored by Peter Sanders 0001. Johannes Fischer et al.: Engineering a Distributed Full-Text Index. (2016) authored by Peter Sanders 0001. Peter Sanders and Matthias Schimek: Engineering Massively Parallel MST Algorithms. (2023) authored by Peter Sanders 0001. Hannah Bast et al.: Route Planning in Transportation Networks. (2015) authored by Peter Sanders 0001. Tobias Maier et al.: Concurrent Hash Tables: Fast and General?(!). (2016) authored by Peter Sanders 0001. Florian Kurpicz et al.: PaCHash: Packed and Compressed Hash Tables. (2022) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Scalable Generation of Scale-free Graphs. (2016) authored by Peter Sanders 0001. Peter Sanders and Daniel Seemaier: Distributed Deep Multilevel Graph Partitioning. (2023) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider et al.: Communication Efficient Algorithms for Top-k Selection Problems. (2015) authored by Peter Sanders 0001. Sebastian Schlag et al.: High-Quality Hypergraph Partitioning. (2021) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Parallel Graph Partitioning for Complex Networks. (2014) authored by Peter Sanders 0001. Bernhard Beckert et al.: Proving Equivalence Between Imperative and MapReduce Implementations Using Program Transformations. (2018) authored by Peter Sanders 0001. Yaroslav Akhremtsev and Peter Sanders: Fast Parallel Operations on Search Trees. (2015) authored by Peter Sanders 0001. Michael Axtmann et al.: Practical Massively Parallel Sorting - Basic Algorithmic Ideas. (2014) authored by Peter Sanders 0001. Dimitris Fotakis et al.: Space Efficient Hash Tables with Worst Case Constant Access Time. (2003) authored by Peter Sanders 0001. Manuel Holtgrewe et al.: Engineering a scalable high quality graph partitioner. (2010) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Communication Efficient Checking of Big Data Operations. (2018) authored by Peter Sanders 0001. David A. Hutchinson et al.: Duality Between Prefetching and Queued Writing with Parallel Disks. (2005) authored by Peter Sanders 0001. Sebastian Lamm et al.: Finding near-optimal independent sets at scale. (2017) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Partitioning (hierarchically clustered) complex networks via size-constrained graph clustering. (2016) authored by Peter Sanders 0001. Sebastian Schlag et al.: k-way Hypergraph Partitioning via n-Level Recursive Bisection. (2015) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: Weighted Random Sampling on GPUs. (2021) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: Sliding Block Hashing (Slick) - Basic Algorithmic Ideas. (2023) authored by Peter Sanders 0001. Beat Gfeller and Peter Sanders: Towards Optimal Range Medians (2009) authored by Peter Sanders 0001. Manuel Holtgrewe et al.: Engineering a Scalable High Quality Graph Partitioner (2009) authored by Peter Sanders 0001. Peter Sanders et al.: Efficient Random Sampling - Parallel, Vectorized, Cache-Efficient, and Online. (2016) authored by Peter Sanders 0001. Henning Meyerhenke et al.: Partitioning Complex Networks via Size-constrained Clustering. (2014) authored by Peter Sanders 0001. Jonathan Dees et al.: Defining and Computing Alternative Routes in Road Networks (2010) authored by Peter Sanders 0001. Tomás Balyo et al.: HordeSat: A Massively Parallel Portfolio SAT Solver. (2015) authored by Peter Sanders 0001. Aydin Buluç et al.: Recent Advances in Graph Partitioning. (2013) authored by Peter Sanders 0001. Tobias Maier et al.: Concurrent Expandable AMQs on the Basis of Quotient Filters. (2019) authored by Peter Sanders 0001. Dimitris Fotakis et al.: Space Efficient Hash Tables with Worst Case Constant Access Time. (2005) authored by Peter Sanders 0001. Leonor Frias et al.: Single-Pass List Partitioning. (2008) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering faster sorters for small sets of items. (2021) authored by Peter Sanders 0001. Roman Dementiev et al.: STXXL: standard template library for XXL data sets. (2008) authored by Peter Sanders 0001. Andreas Beckmann et al.: Energy-efficient sorting using solid state disks. (2011) authored by Peter Sanders 0001. Peter Sanders: Algorithm Engineering. (2010) authored by Peter Sanders 0001. Peter Sanders: Algorithmenbibliotheken. (2013) authored by Peter Sanders 0001. Peter Sanders and Dorothea Wagner: Algorithm Engineering. (2013) authored by Peter Sanders 0001. Peter Sanders and Dorothea Wagner: Algorithm Engineering. (2013) authored by Peter Sanders 0001. Michael Axtmann et al.: Engineering In-place (Shared-memory) Sorting Algorithms. (2022) authored by Peter Sanders 0001. Friedhelm Meyer auf der Heide et al.: Introduction to the Special Issue on SPAA 2014. (2016) authored by Peter Sanders 0001. Tobias Maier et al.: Concurrent Hash Tables: Fast and General(?)! (2019) authored by Peter Sanders 0001. Peter Sanders et al.: Work-Efficient Matrix Inversion in Polylogarithmic Time. (2015) authored by Peter Sanders 0001. Daniel Funke et al.: Communication-free massively distributed graph generation. (2019) authored by Peter Sanders 0001. Thomas Leibfried et al.: Operating Power Grids with Few Flow Control Buses. (2015) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Scalable High-Quality Hypergraph Partitioning. (2023) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Scalable Shared-Memory Hypergraph Partitioning. (2020) authored by Peter Sanders 0001. Daniel Funke et al.: Communication-free Massively Distributed Graph Generation. (2017) authored by Peter Sanders 0001. Hans-Peter Lehmann et al.: SicHash - Small Irregular Cuckoo Tables for Perfect Hashing. (2022) authored by Peter Sanders 0001. Timo Bingmann and Peter Sanders: Parallel String Sample Sort (2013) authored by Peter Sanders 0001. Demian Hespe et al.: Fast OLAP Query Execution in Main Memory on Large Data in a Cluster. (2017) authored by Peter Sanders 0001. Yaroslav Akhremtsev et al.: (Semi-)External Algorithms for Graph Partitioning and Clustering. (2014) authored by Peter Sanders 0001. Dominik Schreiber and Peter Sanders: Scalable SAT Solving in the Cloud. (2022) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: KaHIP v0.53 - Karlsruhe High Quality Partitioning - User Guide. (2013) authored by Peter Sanders 0001. Daniel Funke et al.: A Sweep-plane Algorithm for Calculating the Isolation of Mountains. (2023) authored by Peter Sanders 0001. Vitali Henne et al.: n-Level Hypergraph Partitioning. (2015) authored by Peter Sanders 0001. Lorenz Hübschle-Schneider and Peter Sanders: Communication Efficient Checking of Big Data Operations. (2017) authored by Peter Sanders 0001. Daniel Funke and Peter Sanders: Efficient Yao Graph Construction. (2023) authored by Peter Sanders 0001. Moritz Laupichler and Peter Sanders: Fast Many-to-Many Routing for Dynamic Taxi Sharing with Meeting Points. (2023) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Shared-Memory n-level Hypergraph Partitioning. (2021) authored by Peter Sanders 0001. Peter C. Dillinger et al.: Fast Succinct Retrieval and Approximate Membership using Ribbon. (2021) authored by Peter Sanders 0001. Moritz Laupichler and Peter Sanders: Fast Many-to-Many Routing for Ridesharing with Multiple Pickup and Dropoff Locations. (2023) authored by Peter Sanders 0001. Timo Bingmann et al.: Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++. (2016) authored by Peter Sanders 0001. Marvin Williams et al.: Engineering MultiQueues: Fast Relaxed Concurrent Priority Queues. (2021) authored by Peter Sanders 0001. Daniel Karch et al.: Improved Fast Similarity Search in Dictionaries (2010) authored by Peter Sanders 0001. Michael Axtmann et al.: Engineering In-place (Shared-memory) Sorting Algorithms. (2020) authored by Peter Sanders 0001. Jan Wassenberg and Peter Sanders: Faster Radix Sort via Virtual Memory and Write-Combining (2010) authored by Peter Sanders 0001. Christian Jung et al.: Efficient Error-Correcting Geocoding (2011) authored by Peter Sanders 0001. Florian Merz and Peter Sanders: PReaCH: A Fast Lightweight Reachability Index using Pruning and Contraction Hierarchies. (2014) authored by Peter Sanders 0001. Lars Gottesbüren et al.: Deep Multilevel Graph Partitioning. (2021) authored by Peter Sanders 0001. Peter Sanders and Christian Schulz: Advanced Multilevel Node Separator Algorithms. (2015) authored by Peter Sanders 0001. Hamza Rihani et al.: MultiQueues: Simpler, Faster, and Better Relaxed Concurrent Priority Queues. (2014) authored by Peter Sanders 0001. Michael Axtmann et al.: In-place Parallel Super Scalar Samplesort (IPSSSSo). (2017) authored by Peter Sanders 0001. Yaroslav Akhremtsev et al.: High-Quality Shared-Memory Graph Partitioning. (2017) authored by Peter Sanders 0001. Tobias Heuer et al.: Network Flow-Based Refinement for Multilevel Hypergraph Partitioning. (2018) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering Parallel String Sorting. (2014) authored by Peter Sanders 0001. Timo Bingmann et al.: Engineering Faster Sorters for Small Sets of Items. (2020) authored by Peter Sanders 0001. Timo Bingmann et al.: Communication-Efficient String Sorting. (2020) authored by Peter Sanders 0001. Demian Hespe et al.: ReStore: In-Memory REplicated STORagE for Rapid Recovery in Fault-Tolerant Algorithms. (2022) authored by Peter Sanders 0001. Mark Blacher et al.: Vectorized and performance-portable Quicksort. (2022) authored by Peter Sanders 0001. Peter Sanders and Tim Niklas Uhl: Engineering a Distributed-Memory Triangle Counting Algorithm. (2023) authored by Peter Sanders 0001. Peter Sanders et al.: Sequential and Parallel Algorithms and Data Structures - The Basic Toolbox (2019) authored by Peter Sanders 0001{'author_wikipedia_text': 'Peter Sanders (born 1967) is a German computer scientist who works as a professor of computer science at the Karlsruhe Institute of Technology. His research concerns the design, analysis, and implementation of algorithms and data structures, and he is particularly known for his research on suffix sorting finding shortest paths in road networks.\\\\nSanders earned his Ph.D. from Karlsruhe in 1996,\\\\nand worked for seven years at the Max Planck Institute for Informatics in Saarbrücken (completing his habilitation there in 2000) before returning to Karlsruhe as a professor in 2004.\\\\nSanders was one of the winners of the Gottfried Wilhelm Leibniz Prize in 2012.'}\",\n \"verbalizer_on_all_triples\": \"Peter Sanders has written paper amount in year 2012: 15.\\nPeter Sanders wrote paper amount in year 2013: 49.\\nPeter Sanders has written paper amount in year 2014: 57.\\nPeter Sanders wrote paper amount in year 2015: 76.\\nPeter Sanders has written paper amount in year 2016: 40.\\nPeter Sanders has written paper amount in year 2017: 42.\\nPeter Sanders has written paper amount in year 2018: 41.\\nPeter Sanders has written paper amount in year2019: 55.\\nPeter Sanders has written paper amount in year 2020: 29.\\nPeter Sanders wrote paper amount in year2021: 21.\\nPeter Sanders wrote paper amount in year2022: 21.\\nPeter Sanders wrote paper amount in year2023: 20.\\nPeter Sanders has a 2YrMeanCitedness of 0.51999998092651367188.\\nPeter Sanders 0001 is affiliated with Karlsruhe Institute of Technology, Department of Informatics and Max Planck Institute for Informatics.\\nPeter Sanders is also known as Peter W. Sanders, Peter William Sanders and P. W. Sanders.\\n\\\"Peter Sanders: Algorithm engineering for scalable parallel external sorting. (2010), Seth Pettie and Peter Sanders: A simpler linear time 2/3-epsilon approximation for maximum weight matching. (2004), Fabian Kulla and Peter Sanders: Scalable parallel suffix array construction. (2007), Torben Hagerup et al.: An Implementation of the Binary Blocking Flow Algorithm. (1998), Michael Axtmann and Peter Sanders: Robus\\nPeter Sanders cited ByCount 10988.\\nPeter Sanders 0001 won the Gottfried Wilhelm Leibniz Prize in 2012.\\n\\\"Guy E. Blelloch and Peter Sanders: 26th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA '14, Prague, Czech Republic - June 23 - 25, 2014 (2014), Johannes Fischer and Peter Sanders: Combinatorial Pattern Matching, 24th Annual Symposium, CPM 2013, Bad Herrenalb, Germany, June 17-19, 2013. Proceedings (2013), Giuseppe F. Italiano et al.: Algorithm Engineering, 27.06. - 02.\\nPeter Sanders has an h-index of 49.\\ni10Index is 181 by Peter Sanders.\\nPeter Sanders is the creator of Peter Sanders 0001 which is a fictional character. He is also the author of Peter Sanders.\\nPeter Sanders 0001 is a computer scientist, http://algo2.iti.uni-karlsruhe.de/sanders.php, http://www.wikidata.org/entity/Q2078004, https://scholar.google.com/citations?user=0xWltyAAAAAJ. https://mathgenealogy.org/id.php?id=185579, https://dl.acm.org/profile\\nPeter Sanders is a member of the Karlsruhe Institute of Technology.\\nPeter Sanders was modified on 2023-10-18.\\nPeter Sanders is also known as Peter Sanders.\\nPeter Sanders has the orcidId https://orcid.org/0000-0003-3330-9349.\\nPeter Sanders 0001 is affiliated with the Karlsruhe Institute of Technology, Department of Informatics.\\nPeter Sanders has 779 works count.{'author_wikipedia_text': 'Peter Sanders (born 1967) is a German computer scientist who works as a professor of computer science at the Karlsruhe Institute of Technology. His research concerns the design, analysis, and implementation of algorithms and data structures, and he is particularly known for his research on suffix sorting finding shortest paths in road networks.\\\\nSanders earned his Ph.D. from Karlsruhe in 1996,\\\\nand worked for seven years at the Max Planck Institute for Informatics in Saarbrücken (completing his habilitation there in 2000) before returning to Karlsruhe as a professor in 2004.\\\\nSanders was one of the winners of the Gottfried Wilhelm Leibniz Prize in 2012.'}\",\n \"verbalizer_plus_evidence_matching\": \"Peter Sanders: Random Permutations on Distributed, External and Hierarchical Memory. (1998), Fabian Kulla and Peter Sanders: Scalable parallel suffix array construction. (2007), Michael Axtmann et al.: Engineering In-place (Shared-memory) Sorting Algorithms. (2022), Andreas Beckmann et al.: Energy-efficient sorting using solid state disks. (2011), Roman Dementiev et al.: Engineering Parallel String His research concerns the design, analysis, and implementation of algorithms and data structures, and he is particularly known for his research on suffix sorting finding shortest paths in road networks. {'author_wikipedia_text': 'Peter Sanders (born 1967) is a German computer scientist who works as a professor of computer science at the Karlsruhe Institute of Technology\"\n}"}}},{"rowIdx":74,"cells":{"id":{"kind":"string","value":"450c0e76-b232-4d63-9c8d-8c91894fa372"},"triples_number":{"kind":"number","value":414,"string":"414"},"question":{"kind":"string","value":"How many articles are attributed to the institution of the author who published 'Better Software, Better Research'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"6.0882353782653808594\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Carole Goble\"\n },\n {\n \"object\": \"University of Manchester, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Carole A. 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(2010)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Khalid Belhajjame et al.: Detecting Duplicate Records in Scientific Workflow Results. (2012)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paolo Missier et al.: Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements. (2008)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paolo Missier et al.: Janus: From Workflows to Semantic Provenance and Linked Open Data. (2010)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rudolf Wittner et al.: ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data. (2021)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jun Zhao et al.: An Identity Crisis in the Life Sciences. (2006)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Les Carr et al.: Conceptual linking: ontology-based open hypermedia. (2001)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jun Zhao et al.: Semantically Linking and Browsing Provenance Logs for E-science. (2004)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yeliz Yesilada et al.: Screen Readers Cannot See: Ontology Based Semantic Annotation for Visually Impaired Web Travellers. (2004)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jun Zhao et al.: eScience. (2011)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Richard Cooper et al.: Conceptual Modelling for Database User Interfaces. (2000)\"\n },\n {\n \"object\": \"Carole A. 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(2001)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Y. A. Brenninkmeijer et al.: Scientific Lenses over Linked Data: An Approach to Support Task Specific Views of the Data. A Vision. (2012)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bin Cao et al.: Semantically Annotated Provenance in the Life Science Grid. (2009)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paolo Missier et al.: Functional Units: Abstractions for Web Service Annotations. (2010)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Patricia G. Baker et al.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. (1998)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Robert D. Stevens et al.: myGrid: personalised bioinformatics on the information grid. (2003)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Robert D. Stevens et al.: Exploring Williams-Beuren syndrome using myGrid. (2004)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tony Griffiths et al.: Task Modelling for Database Interface Development. (1999)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Simon Harper et al.: Sentinel: Universal Access to Ambient Devices. (2003)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"David Haw et al.: GUIDANCE: Making it Easy for the USer to be an Expert. (1994)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sean Bechhofer et al.: Guiding the User: An Ontology Driven Interface. (1999)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tony Griffiths et al.: Teallach: A Model-Based User Interface Development Environment for Object Databases. (1999)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernard Horan et al.: Supporting a humanly impossible task: The clinical human computer environment. (1990)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kyle Chard et al.: I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. (2016)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pinar Alper et al.: On assisting scientific data curation in collection-based dataflows using labels. (2013)\"\n },\n {\n \"object\": \"Carole A. 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(2022)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rafael Ferreira da Silva et al.: Workflows Community Summit 2022: A Roadmap Revolution. (2023)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rafael Ferreira da Silva et al.: Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. (2021)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Frank van Harmelen et al.: Theoretical And Technological Building Blocks For An Innovation Accelerator (2012)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Les Carr et al.: Ontologies and Hypertext. (2004)\"\n },\n {\n \"object\": \"Carole A. Goble\",\n \"predicate\": \"authored by\",\n \"subject\": \"Robert Stevens et al.: Ontologies in Bioinformatics. 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Jiménez et al.: Four simple recommendations to encourage best practices in research software. (2017) authored by Carole A. Goble. Carole A. Goble et al.: Research Object Community Update. (2018) authored by Carole A. Goble. Stephen Crouch et al.: The Software Sustainability Institute: Changing Research Software Attitudes and Practices. (2013) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Towards FAIR principles for research software. (2020) authored by Carole A. Goble. Daniel S. Katz et al.: A Fresh Look at FAIR for Research Software. (2021) authored by Carole A. Goble. David De Roure and Carole A. Goble: Software Design for Empowering Scientists. (2009) authored by Carole A. Goble. Carole A. Goble: Results May Vary: Reproducibility, Open Science and All That Jazz. (2013) authored by Carole A. Goble. Stefan Decker et al.: A new journal for a new era of the World Wide Web. (2003) authored by Carole A. Goble. Carole Goble scopus http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS. Carole A. Goble link https://www.scopus.com/authid/detail.uri?authorId=7004072716. Shoaib Sufi et al.: Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop. (2014) authored by Carole A. Goble. Matthew Gamble and Carole A. Goble: Quality, trust, and utility of scientific data on the web: towards a joint model. (2011) authored by Carole A. Goble. David Haw et al.: GUIDANCE: Making it Easy for the USer to be an Expert. (1994) authored by Carole A. Goble. Carole A. Goble link https://scholar.google.com/citations?user=2G4kqPYAAAAJ. Khalid Belhajjame et al.: Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. (2012) authored by Carole A. Goble. Carole A. Goble: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Carole A. Goble: Multimedia Information Systems: the confluence of technologies and disciplines. (1994) authored by Carole A. Goble. Robert Mark Greenwood et al.: Position Paper: Are Bioinformaticians doing e-Business? (2002) authored by Carole A. Goble. Carole A. Goble et al.: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Carole A. Goble et al.: Knowledge Integration. (2004) authored by Carole A. Goble. Jun Zhao et al.: A Checklist-Based Approach for Quality Assessment of Scientific Information. (2013) authored by Carole A. Goble. David De Roure et al.: myExperiment: Defining the Social Virtual Research Environment. (2008) authored by Carole A. Goble. Carole A. Goble: The return of the prodigal web: 1. (2007) authored by Carole A. Goble. Les Carr et al.: Ontologies and Hypertext. (2004) authored by Carole A. Goble. S. Kay et al.: What Should We Mean by 'An Electronic Medical Record'? (1991) authored by Carole A. Goble. Paolo Missier et al.: Taverna, Reloaded. (2010) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: provenance, authoring and versioning. (2013) authored by Carole A. Goble. Natasha F. Noy and Carole A. Goble: Are We Cobblers without Shoes?: Making Computer Science Data FAIR. (2023) authored by Carole A. Goble. Robert Stevens et al.: Using provenance to manage knowledge of In Silico experiments. (2007) authored by Carole A. Goble. Khalid Belhajjame et al.: The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web. (2014) authored by Carole A. Goble. Luc Moreau et al.: Special Issue: The First Provenance Challenge. (2008) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: A Killer App for AI? (2002) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: an evolution for a revolution. (2003) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: Provenance, Authoring and Versioning (2013) authored by Carole A. Goble. Sean Bechhofer et al.: Why Linked Data is Not Enough for Scientists. (2010) authored by Carole A. Goble. Carole A. Goble: Using the Semantic Web for e-Science: Inspiration, Incubation, Irritation. (2005) authored by Carole A. Goble. Simon Harper et al.: Editorial. (2006) authored by Carole A. Goble. Carole A. Goble: Putting Semantics into e-Science and Grids. (2005) authored by Carole A. Goble. Simon Harper et al.: Towel: Experiences of Augmenting the Web with Journey Knowledge. (2003) authored by Carole A. Goble. David De Roure and Carole A. Goble: Re-Evaluating The Grid: The Social Life of Programs. (2007) authored by Carole A. Goble\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna. {'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982\",\n \"plain\": \"Carole Goble is Author. Carole Goble modified 2023-10-18. Carole Goble citedByCount 24721. Carole Goble written paper amount in year2012: 22. Carole Goble written paper amount in year2012: 22. Carole Goble written paper amount in year2013: 25. Carole Goble written paper amount in year2013: 25. Carole Goble written paper amount in year2014: 28. Carole Goble written paper amount in year2014: 28. 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Carole Goble member of University of Manchester. Carole Goble h-index 66. Carole Goble 2YrMeanCitedness 6.0882353782653808594. Carole Goble alternativeName C. A. Goble. Carole Goble alternativeName C. Goble. Carole Goble alternativeName Carol Goble. Carole Goble alternativeName Carole A. Goble. Carole Goble alternativeName Carole Anne Goble. Carole Goble alternativeName Carole Goble. Carole Goble alternativeName Goble. Carole Goble alternativeName Goble Carole. Carole Goble i10Index 227. Carole Goble orcidId https://orcid.org/0000-0003-1219-2137. Carole Goble scopus http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS. Carole A. Goble is Creator. Carole A. Goble is Person. Carole A. Goble link http://www.wikidata.org/entity/Q11604. Carole A. Goble affiliation University of Manchester, UK. Carole A. Goble link http://www.cs.man.ac.uk/~carole/. Carole A. Goble primary affiliation University of Manchester, UK. Carole A. Goble link http://www.cs.man.ac.uk/~carole/. Carole A. Goble link https://zbmath.org/authors/?q=ai:goble.carole. Carole A. Goble link https://twitter.com/caroleannegoble. Carole A. Goble link https://dl.acm.org/profile/81332500838. Carole A. Goble link https://www.scopus.com/authid/detail.uri?authorId=7004072716. Carole A. Goble link https://scholar.google.com/citations?user=2G4kqPYAAAAJ. Carole A. Goble link https://en.wikipedia.org/wiki/Carole_Goble. Carole A. Goble et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2016) authored by Carole A. Goble. Simon Harper et al.: proXimity: Ad-Hoc Networks for Enhanced Mobility. (2004) authored by Carole A. Goble. Antoon Goderis et al.: Composing Different Models of Computation in Kepler and Ptolemy II. (2007) authored by Carole A. Goble. Jun Zhao et al.: A Checklist-Based Approach for Quality Assessment of Scientific Information. (2013) authored by Carole A. Goble. Jun Zhao et al.: RO-Manager: A Tool for Creating and Manipulating Research Objects to Support Reproducibility and Reuse in Sciences. (2012) authored by Carole A. Goble. Liming Chen et al.: Towards a Knowledge-Based Approach to Semantic Service Composition. (2003) authored by Carole A. Goble. Carole A. Goble: Using the Semantic Web for e-Science: Inspiration, Incubation, Irritation. (2005) authored by Carole A. Goble. Carole A. Goble: Results May Vary: Reproducibility, Open Science and All That Jazz. (2013) authored by Carole A. Goble. Carole A. Goble et al.: Conceptual Open Hypermedia = The Semantic Web? (2001) authored by Carole A. Goble. Carole A. Goble et al.: Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery. (2013) authored by Carole A. Goble. Carole A. Goble et al.: Help me describe my data: A demonstration of the Open PHACTS VoID Editor. (2014) authored by Carole A. Goble. Alasdair J. G. Gray et al.: Bioschemas: From Potato Salad to Protein Annotation. (2017) authored by Carole A. Goble. Phillip W. Lord et al.: Applying Semantic Web Services to Bioinformatics: Experiences Gained, Lessons Learnt. (2004) authored by Carole A. Goble. Katherine Wolstencroft et al.: Semantic Data and Models Sharing in Systems Biology: The Just Enough Results Model and the SEEK Platform. (2013) authored by Carole A. Goble. Jun Zhao et al.: Using Semantic Web Technologies for Representing E-science Provenance. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: OilEd: A Reason-able Ontology Editor for the Semantic Web. (2001) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Classification Based Navigation and Retrieval. (1999) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Towards Annotation Using DAML+OIL. (2001) authored by Carole A. Goble. Carole A. Goble et al.: ODESGS framework, knowledge-based markup for semantic grid services. (2005) authored by Carole A. Goble. Kristian Garza et al.: Framing the community data system interface. (2015) authored by Carole A. Goble. Kevin L. Garwood et al.: Pedro Ontology Services: A Framework for Rapid Ontology Markup. (2005) authored by Carole A. Goble. Phillip W. Lord et al.: Feta: A Light-Weight Architecture for User Oriented Semantic Service Discovery. (2005) authored by Carole A. Goble. Simon J. Cox et al.: Grid Services in Action: Grid Enabled Optimisation and Design Search. (2002) authored by Carole A. Goble. Pinar Alper et al.: LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance. (2014) authored by Carole A. Goble. Ilkay Altintas et al.: Understanding Collaborative Studies through Interoperable Workflow Provenance. (2010) authored by Carole A. Goble. Khalid Belhajjame et al.: Detecting Duplicate Records in Scientific Workflow Results. (2012) authored by Carole A. Goble. Paolo Missier et al.: Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements. (2008) authored by Carole A. Goble. Paolo Missier et al.: Janus: From Workflows to Semantic Provenance and Linked Open Data. (2010) authored by Carole A. Goble. Rudolf Wittner et al.: ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data. (2021) authored by Carole A. Goble. Jun Zhao et al.: An Identity Crisis in the Life Sciences. (2006) authored by Carole A. Goble. Les Carr et al.: Proceedings of the 15th international conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, May 23-26, 2006 (2006) edited by Carole A. Goble. Les Carr et al.: Conceptual linking: ontology-based open hypermedia. (2001) authored by Carole A. Goble. Mokrane Bouzeghoub et al.: Semantics for Grid Databases, First International IFIP Conference on Semantics of a Networked World: ICSNW 2004, Paris, France, June 17-19, 2004. Revised Selected Papers (2004) edited by Carole A. Goble. Jun Zhao et al.: Semantically Linking and Browsing Provenance Logs for E-science. (2004) authored by Carole A. Goble. Yeliz Yesilada et al.: Screen Readers Cannot See: Ontology Based Semantic Annotation for Visually Impaired Web Travellers. (2004) authored by Carole A. Goble. Jun Zhao et al.: eScience. (2011) authored by Carole A. Goble. Richard Cooper et al.: Conceptual Modelling for Database User Interfaces. (2000) authored by Carole A. Goble. Tony Griffiths et al.: Exploiting Model-based Techniques for User Interfaces to Databases. (1998) authored by Carole A. Goble. Norman Murray et al.: Kaleidoscape: A 3D Environment for Querying ODMG Compliant Databases. (1998) authored by Carole A. Goble. Gary Ng et al.: Visualizing Complex Schemas in Description Logic Using Movable Lens Filters. (1998) authored by Carole A. Goble. S. Kay et al.: What Should We Mean by 'An Electronic Medical Record'? (1991) authored by Carole A. Goble. Yeliz Yesilada et al.: Rendering tables in audio: the interaction of structure and reading styles. (2004) authored by Carole A. Goble. Simon Harper et al.: Towel: Real World Mobility on the Web. (1999) authored by Carole A. Goble. Tony Griffiths et al.: An Open-Model-Based Interface Development System: The Teallach Approach. (1998) authored by Carole A. Goble. J. C. Bullock and Carole A. Goble: TourisT: The Application of a Description Logic Based Semantic Hypermedia System for Tourism. (1998) authored by Carole A. Goble. Sean Bechhofer et al.: Supporting Public Browsing of an Art Gallery Collections Database. (2000) authored by Carole A. Goble. Carole A. Goble et al.: A Medical Terminology Server. (1994) authored by Carole A. Goble. Fouzia Moussouni et al.: Database Challenges for Genome Information in the Post Sequencing Phase. (1999) authored by Carole A. Goble. John Brooke et al.: Semantic Matching of Grid Resource Descriptions. (2004) authored by Carole A. Goble. Robert Stevens et al.: Building a Reason-able Bioinformatics Ontology Using OIL. (2001) authored by Carole A. Goble. Carole A. Goble: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Carole A. Goble et al.: Accelerating Scientists' Knowledge Turns. (2011) authored by Carole A. Goble. Ning Zhang et al.: Towards an Authentication Middleware to Support Ubiquitous Web Access. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: The Semantics of Semantic Annotation. (2002) authored by Carole A. Goble. Carole A. Goble: The Grid Needs You! Enlist Now. (2003) authored by Carole A. Goble. Feng Tao et al.: Semantic Web Based Content Enrichment and Knowledge Reuse in E-science. (2004) authored by Carole A. Goble. Pinar Alper et al.: Automatic Versus Manual Provenance Abstractions: Mind the Gap. (2016) authored by Carole A. Goble. Matthew Gamble and Carole A. Goble: Influence Factor: Extending the PROV Model With a Quantitative Measure of Influence. (2014) authored by Carole A. Goble. Liming Chen et al.: Engineering Knowledge for Engineering Grid Applications. (2002) authored by Carole A. Goble. Robert Mark Greenwood et al.: Position Paper: Are Bioinformaticians doing e-Business? (2002) authored by Carole A. Goble. Carole A. Goble and John A. Keane: Advances in Databases, 13th British National Conference on Databases, BNCOD 13, Manchester, United Kingdom, July 12-14, 1995, Proceedings (1995) edited by Carole A. Goble. Carole A. Goble and Andrzej J. Glowinski: Semantic Constraints in a Medical Information System. (1993) authored by Carole A. Goble. David Haw et al.: The Pragmatics of Naive Database Enquiry. (1995) authored by Carole A. Goble. Paul Groth et al.: Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigations and Experiments (LISC2013) In conjunction with the 12th International Semantic Web Conference 2013 (ISWC 2013), Sydney, Australia, October 21, 2013. (2014) edited by Carole A. Goble. Peter Mika et al.: The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I (2014) edited by Carole A. Goble. Peter Mika et al.: The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part II (2014) edited by Carole A. Goble. Sean Bechhofer et al.: DAML+OIL is not Enough. (2001) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Scientific Lenses over Linked Data: An Approach to Support Task Specific Views of the Data. A Vision. (2012) authored by Carole A. Goble. Bin Cao et al.: Semantically Annotated Provenance in the Life Science Grid. (2009) authored by Carole A. Goble. Paolo Missier et al.: Functional Units: Abstractions for Web Service Annotations. (2010) authored by Carole A. Goble. Patricia G. Baker et al.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. (1998) authored by Carole A. Goble. Robert D. Stevens et al.: myGrid: personalised bioinformatics on the information grid. (2003) authored by Carole A. Goble. Robert D. Stevens et al.: Exploring Williams-Beuren syndrome using myGrid. (2004) authored by Carole A. Goble. Tony Griffiths et al.: Task Modelling for Database Interface Development. (1999) authored by Carole A. Goble. Simon Harper et al.: Sentinel: Universal Access to Ambient Devices. (2003) authored by Carole A. Goble. David Haw et al.: GUIDANCE: Making it Easy for the USer to be an Expert. (1994) authored by Carole A. Goble. Sean Bechhofer et al.: Guiding the User: An Ontology Driven Interface. (1999) authored by Carole A. Goble. Tony Griffiths et al.: Teallach: A Model-Based User Interface Development Environment for Object Databases. (1999) authored by Carole A. Goble. Bernard Horan et al.: Supporting a humanly impossible task: The clinical human computer environment. (1990) authored by Carole A. Goble. Kyle Chard et al.: I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. (2016) authored by Carole A. Goble. Pinar Alper et al.: On assisting scientific data curation in collection-based dataflows using labels. (2013) authored by Carole A. Goble. Ian Horrocks et al.: A Description Logic Based Schema for the Classification of Medical Data. (1996) authored by Carole A. Goble. Martin Peim et al.: Querying Objects with Description Logics. (2002) authored by Carole A. Goble. Carole A. Goble: The swings and roundabouts of a decade of fun and games with Research Objects. (2020) authored by Carole A. Goble. David De Roure et al.: Towards the Preservation of Scientific Workflows. (2011) authored by Carole A. Goble. Ketan Maheshwari et al.: Medical image processing workflow support on the EGEE grid with taverna. (2009) authored by Carole A. Goble. Katy Wolstencroft et al.: RightField: Scientific Knowledge Acquisition by Stealth through Ontology-Enabled Spreadsheets. (2012) authored by Carole A. Goble. Pinar Alper et al.: Small Is Beautiful: Summarizing Scientific Workflows Using Semantic Annotations. (2013) authored by Carole A. Goble. Carole A. Goble et al.: ODEGSG Framework, Knowledge-Based Annotation and Design of Grid Services. (2005) authored by Carole A. Goble. Colin R. Batchelor et al.: Scientific Lenses to Support Multiple Views over Linked Chemistry Data. (2014) authored by Carole A. Goble. Khalid Belhajjame et al.: Automatic Annotation of Web Services Based on Workflow Definitions. (2006) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Including Co-referent URIs in a SPARQL Query. (2013) authored by Carole A. Goble. Antoon Goderis et al.: Seven Bottlenecks to Workflow Reuse and Repurposing. (2005) authored by Carole A. Goble. Katy Wolstencroft et al.: Rightfield: Embedding Ontology Term Selection into Spreadsheets for the Annotation of Biological Data. (2010) authored by Carole A. Goble. Matthew Gamble and Carole A. Goble: Quality, trust, and utility of scientific data on the web: towards a joint model. (2011) authored by Carole A. Goble. Shoaib Sufi et al.: Software in reproducible research: advice and best practice collected from experiences at the collaborations workshop. (2014) authored by Carole A. Goble. Carole A. Goble et al.: 2012 IEEE 19th International Conference on Web Services, Honolulu, HI, USA, June 24-29, 2012 (2012) edited by Carole A. Goble. Antoon Goderis et al.: Workflow discovery: the problem, a case study from e-Science and a graph-based solution. (2006) authored by Carole A. Goble. Wei Tan et al.: Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach. (2009) authored by Carole A. Goble. Giuseppe Pirrò et al.: Combining DHTs and SONs for Semantic-Based Service Discovery. (2009) authored by Carole A. Goble. Ning Zhang et al.: Plugging a Scalable Authentication Framework into Shibboleth. (2005) authored by Carole A. Goble. Steve Pettifer et al.: myGrid and UTOPIA: An Integrated Approach to Enacting and Visualising in Silico Experiments in the Life Sciences. (2007) authored by Carole A. Goble. Carole A. Goble et al.: A Descriptive Semantic Formalism for Medicine. (1993) authored by Carole A. Goble. Simon Harper et al.: Traversing the Web: Mobility Heuristics for Visually Impaired Surfers. (2003) authored by Carole A. Goble. York Sure-Vetter and Carole A. Goble: 1st Conference on Research Data Infrastructure - Connecting Communities, CoRDI 2023, Karlsruhe, Germany, September 12-14, 2023 (2023) edited by Carole A. Goble. Nazeefa Fatima et al.: RDMkit: The Research Data Management Toolkit for Life Sciences. (2023) authored by Carole A. Goble. Carole A. Goble et al.: The EOSC-Life Workflow Collaboratory for the Life Sciences. (2023) authored by Carole A. Goble. David De Roure and Carole A. Goble: Supporting e-Science Using Semantic Web Technologies - The Semantic Grid. (2010) authored by Carole A. Goble. Carole A. Goble et al.: Working Notes of the 2001 International Description Logics Workshop (DL-2001), Stanford, CA, USA, August 1-3, 2001 (2001) edited by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Using a DL to Drive Query Interfaces. (1997) authored by Carole A. Goble. Sean Bechhofer et al.: OilEd: a Reason-able Ontology Editor for the Semantic Web. (2001) authored by Carole A. Goble. Carole A. Goble: What have the Romans (and Germans) ever done for us? or There are real applications for Description Logics some of which even take advantage of their reasoning services. (2000) authored by Carole A. Goble. Antoon Goderis et al.: Applying Description Logics for Workflow Reuse and Repurposing. (2005) authored by Carole A. Goble. Gary Ng et al.: Inspecting Concepts Graphically with Zoomable Lenses. (1997) authored by Carole A. Goble. Martin Peim et al.: Querying Objects with Description Logics. (2002) authored by Carole A. Goble. Mike Cornell et al.: GIMS - A Data Warehouse for Storage and Analysis of Genome Sequence and Functional Data. (2001) authored by Carole A. Goble. Phillip W. Lord et al.: PRECIS: An Automated Pipeline for Producing Concise Reports About Proteins. (2001) authored by Carole A. Goble. Óscar Corcho et al.: Grid metadata management: Requirements and architecture. (2007) authored by Carole A. Goble. Carole A. Goble and David De Roure: Grid 3.0: Services, semantics and society. (2007) authored by Carole A. Goble. Wei Xing et al.: An ActOn-based semantic information service for EGEE. (2007) authored by Carole A. Goble. Alasdair J. G. Gray et al.: The Pharmacology Workspace: A Platform for Drug Discovery. (2012) authored by Carole A. Goble. Olga Krebs et al.: FAIRDOM approach for semantic interoperability of systems biology data and models. (2015) authored by Carole A. Goble. Martin Peim et al.: Query Processing with Description Logic Ontologies over Object-Wrapped Databases. (2002) authored by Carole A. Goble. Phillip W. Lord et al.: Semantic Similarity Measures as Tools for Exploring the Gene Ontology. (2003) authored by Carole A. Goble. Chris Wroe et al.: A Methodology to Migrate the Gene Ontology to a Description Logic Environment Using DAML+OIL. (2003) authored by Carole A. Goble. Sarah Cohen Boulakia et al.: Distilling structure in Taverna scientific workflows: a refactoring approach. (2014) authored by Carole A. Goble. David De Roure et al.: Towards open science: the myExperiment approach. (2010) authored by Carole A. Goble. Yogesh Simmhan et al.: Cloud computing for data-driven science and engineering. (2016) authored by Carole A. Goble. Katherine Wolstencroft et al.: Stealthy annotation of experimental biology by spreadsheets. (2013) authored by Carole A. Goble. Norman Murray et al.: A Framework for Describing Visual Interfaces to Databases. (1998) authored by Carole A. Goble. Norman Murray et al.: Kaleidoquery-A Flow-based Visual Language and its Evaluation. (2000) authored by Carole A. Goble. Robert Stevens et al.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. (2000) authored by Carole A. Goble. Niall Beard et al.: TeSS: a platform for discovering life-science training opportunities. (2020) authored by Carole A. Goble. Tim Clark et al.: Micropublications: a Semantic Model for Claims, Evidence, Arguments and Annotations in Biomedical Communications (2013) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: Provenance, Authoring and Versioning (2013) authored by Carole A. Goble. Eoghan Ó Carragáin et al.: RO-Crate, a lightweight approach to Research Object data packaging. (2019) authored by Carole A. Goble. Carole A. Goble et al.: Research Object Community Update. (2018) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Capturing interoperable reproducible workflows with Common Workflow Language. (2018) authored by Carole A. Goble. Simon Harper et al.: Middleware to expand context and preview in hypertext. (2004) authored by Carole A. Goble. Sean Bechhofer et al.: Knowledge-Driven Hyperlinks: Linking in the Wild. (2006) authored by Carole A. Goble. Óscar Corcho et al.: Metadata Management in S-OGSA. (2007) authored by Carole A. Goble. Konstantinos Karasavvas et al.: Opening new gateways to workflows for life scientists. (2012) authored by Carole A. Goble. Joel H. Saltz et al.: A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. (2008) authored by Carole A. Goble. Ning Zhang et al.: A Linkable Identity Privacy Algorithm for HealthGrid. (2005) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: A Killer App for AI? (2002) authored by Carole A. Goble. Anna M. Manning et al.: Clustering Techniques in Biological Sequence Analysis. (1997) authored by Carole A. Goble. J. C. Bullock and Carole A. Goble: TourisT - Conceptual Hypermedia Tourist Information. (1997) authored by Carole A. Goble. Carole A. Goble: The return of the prodigal web: 1. (2007) authored by Carole A. Goble. Carole A. Goble et al.: The travails of visually impaired web travellers. (2000) authored by Carole A. Goble. Simon Harper et al.: Prototype mobility tools for visually impaired surfers. (2001) authored by Carole A. Goble. Simon Harper et al.: How much is too much in a hypertext link?: investigating context and preview - a formative evaluation. (2004) authored by Carole A. Goble. Christian Y. A. Brenninkmeijer et al.: Computing Identity Co-Reference Across Drug Discovery Datasets. (2013) authored by Carole A. Goble. Ian Dunlop et al.: OpenPHACTS Explorer 2: Bringing the Web to the Semantic Web. (2013) authored by Carole A. Goble. Kristina M. Hettne et al.: Best Practices for Workflow Design: How to Prevent Workflow Decay. (2012) authored by Carole A. Goble. Fuqi Xu et al.: Features of a FAIR Vocabulary. (2022) authored by Carole A. Goble. Carole A. Goble et al.: e-Science and the Semantic Web: A Symbiotic Relationship. (2006) authored by Carole A. Goble. Carole Anne Goble and David Charles De Roure: myExperiment: social networking for workflow-using e-scientists. (2007) authored by Carole A. Goble. Simon Harper et al.: Towel: Experiences of Augmenting the Web with Journey Knowledge. (2003) authored by Carole A. Goble. Ling Liu et al.: Querying the past, present and future: where we are and where we will be. (2005) authored by Carole A. Goble. Peter Plessers et al.: Accessibility: a Web engineering approach. (2005) authored by Carole A. Goble. Yeliz Yesilada et al.: DANTE: annotation and transformation of web pages for visually impaired users. (2004) authored by Carole A. Goble. Yeliz Yesilada et al.: A foundation for tool based mobility support for visually impaired web users. (2003) authored by Carole A. Goble. Jun Zhao et al.: Semantic web applications to e-science in silico experiments. (2004) authored by Carole A. Goble. David De Roure et al.: Scientific Social Objects: The Social Objects and Multidimensional Network of the myExperiment Website. (2011) authored by Carole A. Goble. Sonja Holl et al.: On specifying and sharing scientific workflow optimization results using research objects. (2013) authored by Carole A. Goble. Khalid Belhajjame et al.: Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse. (2012) authored by Carole A. Goble. Ioannis Kotsiopoulos et al.: Architectural Patterns for the Semantic Grid. (2005) authored by Carole A. Goble. David De Roure and Carole A. Goble: Re-Evaluating The Grid: The Social Life of Programs. (2007) authored by Carole A. Goble. Wei Xing et al.: Information Quality Evaluation for Grid Information Services. (2007) authored by Carole A. Goble. Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, New York, NY, USA, 17-22 May 2004 (2004) edited by Carole A. Goble. Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, Chiba, Japan, May 10-14, 2005 (2005) edited by Carole A. Goble. Simon Harper et al.: Proceedings of the 2006 International Cross-Disciplinary Workshop on Web Accessibility (W4A 2006): Building the mobile web: rediscovering accessibility? Edinburgh, UK, May 22, 2006 (2006) edited by Carole A. Goble. Norman Murray et al.: Kaleidoquery: a visual query language for object databases. (1998) authored by Carole A. Goble. Aleksandra Nenadic et al.: Certified E-Mail Delivery with DSA Receipts. (2005) authored by Carole A. Goble. Carole A. Goble et al.: e-Science and the Semantic Web: A Symbiotic Relationship. (2006) authored by Carole A. Goble. Khalid Belhajjame et al.: Metadata Management in the Taverna Workflow System. (2008) authored by Carole A. Goble. Luc Moreau et al.: On the Use of Agents in BioInformatics Grid. (2003) authored by Carole A. Goble. Giuseppe Pirrò et al.: ERGOT: A Semantic-Based System for Service Discovery in Distributed Infrastructures. (2010) authored by Carole A. Goble. Thomas M. Oinn et al.: Delivering web service coordination capability to users. (2004) authored by Carole A. Goble. Marta Sabou et al.: Learning domain ontologies for Web service descriptions: an experiment in bioinformatics. (2005) authored by Carole A. Goble. Olga Krebs et al.: FAIRDOM approach for semantic interoperability of systems biology data and models. (2016) authored by Carole A. Goble. Alice Allen et al.: Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). (2017) authored by Carole A. Goble. Andrew Gibson et al.: The data playground: An intuitive workflow specification environment. (2009) authored by Carole A. Goble. Wei Xing et al.: An ActOn-based semantic information service for Grids. (2010) authored by Carole A. Goble. Chris Wroe et al.: A Suite of Daml+Oil Ontologies to Describe Bioinformatics Web Services and Data. (2003) authored by Carole A. Goble. Simon Harper et al.: Web Mobility Guidelines for Visually Impaired Surfers. (2001) authored by Carole A. Goble. Paolo Ciccarese et al.: PAV ontology: provenance, authoring and versioning. (2013) authored by Carole A. Goble. Tim Clark et al.: Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications. (2014) authored by Carole A. Goble. Kristina M. Hettne et al.: Structuring research methods and data with the research object model: genomics workflows as a case study. (2014) authored by Carole A. Goble. Fuqi Xu et al.: Features of a FAIR vocabulary. (2023) authored by Carole A. Goble. Yeliz Yesilada et al.: Evaluating DANTE: Semantic transcoding for visually disabled users. (2007) authored by Carole A. Goble. Thomas M. Oinn et al.: Taverna: lessons in creating a workflow environment for the life sciences. (2006) authored by Carole A. Goble. Judy Qiu et al.: Emerging Computational Methods for the Life Sciences Workshop 2012. (2014) authored by Carole A. Goble. Wei Tan et al.: A comparison of using Taverna and BPEL in building scientific workflows: the case of caGrid. (2010) authored by Carole A. Goble. Ning Zhang et al.: Achieving fine-grained access control in virtual organizations. (2007) authored by Carole A. Goble. Robert Stevens et al.: A classification of tasks in bioinformatics. (2001) authored by Carole A. Goble. Carole A. Goble: Image Database Prototypes. (1997) authored by Carole A. Goble. Sean Bechhofer et al.: Why Linked Data is Not Enough for Scientists. (2010) authored by Carole A. Goble. Khalid Belhajjame et al.: Fostering Scientific Workflow Preservation through Discovery of Substitute Services. (2011) authored by Carole A. Goble. Matthew Gamble et al.: MIM: A Minimum Information Model vocabulary and framework for Scientific Linked Data. (2012) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2012) authored by Carole A. Goble. Andrew Gibson et al.: The Data Playground: An Intuitive Workflow Specification Environment. (2007) authored by Carole A. Goble. Carole A. Goble: Putting Semantics into e-Science and Grids. (2005) authored by Carole A. Goble. Aleksandra Nenadic et al.: FAME: Adding Multi-Level Authentication to Shibboleth. (2006) authored by Carole A. Goble. David De Roure et al.: The Evolution of myExperiment. (2010) authored by Carole A. Goble. David De Roure et al.: myExperiment: Defining the Social Virtual Research Environment. (2008) authored by Carole A. Goble. David De Roure et al.: Designing the myExperiment Virtual Research Environment for the Social Sharing of Workflows. (2007) authored by Carole A. Goble. Daniele Turi et al.: Taverna Workflows: Syntax and Semantics. (2007) authored by Carole A. Goble. Katy Wolstencroft et al.: Panoply of Utilities in Taverna. (2005) authored by Carole A. Goble. Katherine Wolstencroft et al.: RightField: Semantic enrichment of Systems Biology data using spreadsheets. (2012) authored by Carole A. Goble. Jun Zhao et al.: Why workflows break - Understanding and combating decay in Taverna workflows. (2012) authored by Carole A. Goble. Pascale Gaudet et al.: Towards BioDBcore: a community-defined information specification for biological databases. (2011) authored by Carole A. Goble. Katherine Wolstencroft et al.: The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud. (2013) authored by Carole A. Goble. Katherine Wolstencroft et al.: FAIRDOMHub: a repository and collaboration environment for sharing systems biology research. (2017) authored by Carole A. Goble. Jiten Bhagat et al.: BioCatalogue: a universal catalogue of web services for the life sciences. (2010) authored by Carole A. Goble. Duncan Hull et al.: Taverna: a tool for building and running workflows of services. (2006) authored by Carole A. Goble. Khalid Belhajjame et al.: Automatic annotation of Web services based on workflow definitions. (2008) authored by Carole A. Goble. Paul Brack et al.: Ten simple rules for making a software tool workflow-ready. (2022) authored by Carole A. Goble. Carole A. Goble and Robert Stevens: State of the nation in data integration for bioinformatics. (2008) authored by Carole A. Goble. Simon Harper et al.: Middleware to expand context and preview in hypertext. (2004) authored by Carole A. Goble. Simon Harper et al.: \\\"Engineering accessible design\\\": W4A - international crossdisciplinary workshop on web accessibility 2005 workshop report. (2005) authored by Carole A. Goble. Simon Harper et al.: Building the mobile web: rediscovering accessibility?: W4A - International Cross-Disciplinary Workshop on Web Accessibility workshop report - 2006. (2006) authored by Carole A. Goble. Yeliz Yesilada et al.: Rendering tables in audio: the interaction of structure and reading styles. (2004) authored by Carole A. Goble. Katy Wolstencroft et al.: The myGrid ontology: bioinformatics service discovery. (2007) authored by Carole A. Goble. Robert Stevens et al.: Complex Query Formulation Over Diverse Information Sources in TAMBIS. (2003) authored by Carole A. Goble. Carole A. Goble et al.: Knowledge Integration. (2004) authored by Carole A. Goble. Carole A. Goble et al.: Enhancing Services and Applications with Knowledge and Semantics. (2004) authored by Carole A. Goble. Bertram Ludäscher et al.: Scientific Process Automation and Workflow Management. (2009) authored by Carole A. Goble. Liming Chen et al.: Empowering Resource Providers to Build the Semantic Grid. (2004) authored by Carole A. Goble. Aleksandra Nenadic et al.: DSA-Based Verifiable and Recoverable Encryption of Signatures and Its Application in Certified E-Goods Delivery. (2005) authored by Carole A. Goble. Carole A. Goble and David De Roure: The Semantic Grid: Myth Busting and Bridge Building. (2004) authored by Carole A. Goble. Alan L. Rector et al.: Shedding Light on Patients' Problems: Integrating Knowledge Based Systems into Medical Practice. (1990) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Victor Chang et al.: Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19. (2021) authored by Carole A. Goble. Pinar Alper et al.: Understanding Semantic Aware Grid Middleware for e-Science. (2008) authored by Carole A. Goble. Katherine Wolstencroft et al.: SEEK: a systems biology data and model management platform. (2015) authored by Carole A. Goble. Liming Chen et al.: Semantics-Assisted Problem Solving on the Semantic Grid. (2005) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Towards FAIR principles for research software. (2020) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Packaging research artefacts with RO-Crate. (2022) authored by Carole A. Goble. Michael Bada et al.: A short study on the success of the Gene Ontology. (2004) authored by Carole A. Goble. Khalid Belhajjame et al.: Using a suite of ontologies for preserving workflow-centric research objects. (2015) authored by Carole A. Goble. Óscar Corcho et al.: An overview of S-OGSA: A Reference Semantic Grid Architecture. (2006) authored by Carole A. Goble. Stefan Decker et al.: A new journal for a new era of the World Wide Web. (2003) authored by Carole A. Goble. Paul Groth et al.: API-centric Linked Data integration: The Open PHACTS Discovery Platform case study. (2014) authored by Carole A. Goble. Marta Sabou et al.: Learning domain ontologies for semantic Web service descriptions. (2005) authored by Carole A. Goble. Stephen Crouch et al.: The Software Sustainability Institute: Changing Research Software Attitudes and Practices. (2013) authored by Carole A. Goble. Peter Li et al.: Systematic integration of experimental data and models in systems biology. (2010) authored by Carole A. Goble. Jacek Sroka et al.: A formal semantics for the Taverna 2 workflow model. (2010) authored by Carole A. Goble. Mikel Egaña Aranguren et al.: In situ migration of handcrafted ontologies to reason-able forms. (2008) authored by Carole A. Goble. Sean Bechhofer and Carole A. Goble: Thesaurus construction through knowledge representation. (2001) authored by Carole A. Goble. Daniel S. Katz et al.: A Fresh Look at FAIR for Research Software. (2021) authored by Carole A. Goble. Kristina M. Hettne et al.: Structuring research methods and data with the Research Object model: genomics workflows as a case study. (2013) authored by Carole A. Goble. Yo Yehudi et al.: Sustainability indicators in an open online community. (2023) authored by Carole A. Goble. Carole A. Goble and David De Roure: The impact of workflow tools on data-centric research. (2009) authored by Carole A. Goble. Carole A. Goble and Caroline Moss: Grassroot Groups - Experiences in Horticultural Cultivation. (1990) authored by Carole A. Goble. Stephane Wilson et al.: Experiences of One Day Workshops for Schoolgirls. (1990) authored by Carole A. Goble. Wei Tan et al.: ServiceMap: Providing Map and GPS Assistance to Service Composition in Bioinformatics. (2011) authored by Carole A. Goble. Jinhui Yao et al.: ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted Services. (2012) authored by Carole A. Goble. Carole A. Goble et al.: Describing and Classifying Multimedia Using the Description Logic GRAIL. (1996) authored by Carole A. Goble. Carole A. Goble et al.: Semantic Grid: The Convergence of Technologies, 3.-8. July 2005 (2005) edited by Carole A. Goble. Carole A. Goble: Towards a Semantic Grid Architecture. (2005) authored by Carole A. Goble. York Sure et al.: 05271 - Report on the Dagstuhl Seminar on Semantic Grid - Convergence of Technologies. (2005) authored by Carole A. Goble. York Sure et al.: 05271 Abstracts Collection - Semantic Grid: The Convergence of Technologies. (2005) authored by Carole A. Goble. Pinar Alper et al.: Enhancing and abstracting scientific workflow provenance for data publishing. (2013) authored by Carole A. Goble. Carole A. Goble and Peter Crowther: Schemas for Telling Stories in Medical Records. (1994) authored by Carole A. Goble. Carole A. Goble et al.: The Manchester Multimedia Information System. (1992) authored by Carole A. Goble. Pinar Alper et al.: Static analysis of Taverna workflows to predict provenance patterns. (2017) authored by Carole A. Goble. Sean Bechhofer et al.: Why linked data is not enough for scientists. (2013) authored by Carole A. Goble. David De Roure et al.: The design and realisation of the myExperiment Virtual Research Environment for social sharing of workflows. (2009) authored by Carole A. Goble. Liming Chen et al.: A Semantic Web-Based Approach to Knowledge Management for Grid Applications. (2007) authored by Carole A. Goble. Omar Boucelma et al.: Report on the EDBT'02 Panel on Scientific Data Integration. (2002) authored by Carole A. Goble. Carole A. Goble and Brian J. Read: Report on the 18th British National Conference on Databases (BNCOD). (2002) authored by Carole A. Goble. Carole A. Goble and David De Roure: The Grid: An Application of the Semantic Web. (2002) authored by Carole A. Goble. Bertram Ludäscher and Carole A. Goble: Guest editors' introduction to the special section on scientific workflows. (2005) authored by Carole A. Goble. Liming Chen et al.: Managing Semantic Metadata for Web/Grid Services. (2006) authored by Carole A. Goble. Antoon Goderis et al.: Workflow Discovery: Requirements from E-Science and a Graph-Based Solution. (2008) authored by Carole A. Goble. David De Roure and Carole A. Goble: Software Design for Empowering Scientists. (2009) authored by Carole A. Goble. Wei Tan et al.: caGrid Workflow Toolkit: A Taverna based workflow tool for cancer Grid. (2010) authored by Carole A. Goble. Rafael C. Jiménez et al.: Four simple recommendations to encourage best practices in research software. (2017) authored by Carole A. Goble. Anna-Lena Lamprecht et al.: Perspectives on automated composition of workflows in the life sciences. (2021) authored by Carole A. Goble. Aleksandra Pawlik et al.: Developing a strategy for computational lab skills training through Software and Data Carpentry: Experiences from the ELIXIR Pilot action. (2017) authored by Carole A. Goble. Hugh F. Williamson et al.: Data management challenges for artificial intelligence in plant and agricultural research. (2021) authored by Carole A. Goble. Simon Harper et al.: Editorial. (2006) authored by Carole A. Goble. Simon Harper et al.: Building the Mobile Web: rediscovering accessibility? (2007) authored by Carole A. Goble. Norman W. Paton and Carole A. Goble: Information Management for Genome Level Bioinformatics. (2001) authored by Carole A. Goble. Carole A. Goble: The Semantic Web: an evolution for a revolution. (2003) authored by Carole A. Goble. Simon Harper et al.: Augmenting the mobility of profoundly blind Web travellers. (2005) authored by Carole A. Goble. Michael R. Crusoe et al.: Methods included. (2022) authored by Carole A. Goble. Jinhui Yao et al.: ReputationNet: Reputation-Based Service Recommendation for e-Science. (2015) authored by Carole A. Goble. Pinar Alper et al.: LabelFlow Framework for Annotating Workflow Provenance. (2018) authored by Carole A. Goble. Steffen Möller et al.: Community-driven computational biology with Debian Linux. (2010) authored by Carole A. Goble. Antoon Goderis et al.: Benchmarking workflow discovery: a case study from bioinformatics. (2009) authored by Carole A. Goble. Luc Moreau et al.: Special Issue: The First Provenance Challenge. (2008) authored by Carole A. Goble. Chris Wroe et al.: Recycling workflows and services through discovery and reuse. (2007) authored by Carole A. Goble. Jun Zhao et al.: Mining Taverna's semantic web of provenance. (2008) authored by Carole A. Goble. Robert Stevens et al.: OILing the way to machine understandable bioinformatics resources. (2002) authored by Carole A. Goble. Robert Stevens et al.: Building a bioinformatics ontology using OIL. (2002) authored by Carole A. Goble. Patricia G. Baker et al.: An ontology for bioinformatics applications. (1999) authored by Carole A. Goble. Manuel Bernal Llinares et al.: Identifiers.org: Compact Identifier services in the cloud. (2021) authored by Carole A. Goble. Katy Wolstencroft et al.: RightField: embedding ontology annotation in spreadsheets. (2011) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Evaluating FAIR Digital Object and Linked Data as distributed object systems. (2023) authored by Carole A. Goble. Yo Yehudi et al.: COVID-19: An exploration of consecutive systemic barriers to pathogen-related data sharing during a pandemic. (2022) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit: Bringing the Scientific Workflows Community Together. (2021) authored by Carole A. Goble. Jiuqiang Chen et al.: DistillFlow: removing redundancy in scientific workflows. (2014) authored by Carole A. Goble. Paolo Missier et al.: Taverna, Reloaded. (2010) authored by Carole A. Goble. Norman W. Paton et al.: Query Processing in the TAMBIS Bioinformatics Source Integration System. (1999) authored by Carole A. Goble. Martin Peim et al.: Query Processing with Description Logic Ontologies Over Object-Wrapped Databases. (2002) authored by Carole A. Goble. Robert Stevens et al.: TAMBIS Online: A Bioinformatics Source Integration Tool. (1999) authored by Carole A. Goble. Carlos N. Cumberbatch et al.: Bringing a business rule perspective to resource discovery. (2002) authored by Carole A. Goble. Carole A. Goble et al.: Data curation + process curation=data integration + science. (2008) authored by Carole A. Goble. Robert Stevens et al.: Ontology-based Knowledge Representation for Bioinformatics. (2000) authored by Carole A. Goble. Robert Stevens et al.: Using provenance to manage knowledge of In Silico experiments. (2007) authored by Carole A. Goble. Daniel Garijo et al.: Common motifs in scientific workflows: An empirical analysis. (2014) authored by Carole A. Goble. Antoon Goderis et al.: Heterogeneous composition of models of computation. (2009) authored by Carole A. Goble. Paolo Missier and Carole A. Goble: Workflows to open provenance graphs, round-trip. (2011) authored by Carole A. Goble. Romain David et al.: Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness. (2023) authored by Carole A. Goble. Alasdair J. G. Gray et al.: Applying linked data approaches to pharmacology: Architectural decisions and implementation. (2014) authored by Carole A. Goble. Simon Harper et al.: proXimity: Walking the Link. (2004) authored by Carole A. Goble. Natasha F. Noy and Carole A. Goble: Are We Cobblers without Shoes?: Making Computer Science Data FAIR. (2023) authored by Carole A. Goble. Carole A. Goble et al.: Transparent access to multiple bioinformatics information sources. (2001) authored by Carole A. Goble. Carole A. Goble et al.: myExperiment: a repository and social network for the sharing of bioinformatics workflows. (2010) authored by Carole A. Goble. Carole A. Goble: Better Software, Better Research. (2014) authored by Carole A. Goble. Paolo Missier et al.: Requirements and Services for Metadata Management. (2007) authored by Carole A. Goble. Naveen Ashish et al.: Introduction. (2005) authored by Carole A. Goble. Ebtisam Alharbi et al.: Exploring the Current Practices, Costs and Benefits of FAIR Implementation in Pharmaceutical Research and Development: A Qualitative Interview Study. (2021) authored by Carole A. Goble. Carole A. Goble et al.: FAIR Computational Workflows. (2020) authored by Carole A. Goble. Paul Groth et al.: FAIR Data Reuse - the Path through Data Citation. (2020) authored by Carole A. Goble. Alex R. Hardisty et al.: The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections. (2022) authored by Carole A. Goble. Annika Jacobsen et al.: FAIR Principles: Interpretations and Implementation Considerations. (2020) authored by Carole A. Goble. Nick S. Juty et al.: Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR. (2020) authored by Carole A. Goble. Phillip W. Lord et al.: Investigating Semantic Similarity Measures Across the Gene Ontology: The Relationship Between Sequence and Annotation. (2003) authored by Carole A. Goble. Norman W. Paton et al.: Conceptual modelling of genomic information. (2000) authored by Carole A. Goble. Jacqueline Renée Reich et al.: Toward More Intelligent Annotation Tools: A Prototype. (2001) authored by Carole A. Goble. Chris Wroe et al.: Automating Experiments Using Semantic Data on a Bioinformatics Grid. (2004) authored by Carole A. Goble. Yolanda Gil et al.: Examining the Challenges of Scientific Workflows. (2007) authored by Carole A. Goble. Khalid Belhajjame et al.: The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web. (2014) authored by Carole A. Goble. Hyde Zhang et al.: Taverna Mobile: Taverna workflows on Android. (2013) authored by Carole A. Goble. Tony Griffiths et al.: Teallach: a model-based user interface development environment for object databases. (2001) authored by Carole A. Goble. Aleksandra Nenadic et al.: RSA-based Certified Delivery of E-Goods Using Verifiable and Recoverable Signature Encryption. (2005) authored by Carole A. Goble. Carole A. Goble: Multimedia Information Systems: the confluence of technologies and disciplines. (1994) authored by Carole A. Goble. Norman W. Paton et al.: Knowledge based information integration systems. (2000) authored by Carole A. Goble. Jay (Subbarao) Kola et al.: Towards an ontology for psychosis. (2010) authored by Carole A. Goble. Pascale Gaudet et al.: Towards BioDBcore: a community-defined information specification for biological databases. (2011) authored by Carole A. Goble. Peter Li et al.: Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data. (2008) authored by Carole A. Goble. Jennifer A. Siepen et al.: ISPIDER Central: an integrated database web-server for proteomics. (2008) authored by Carole A. Goble. Jun Zhao et al.: Extending Semantic Provenance into the Web of Data. (2011) authored by Carole A. Goble. Pinar Alper et al.: Automatic vs Manual Provenance Abstractions: Mind the Gap. (2016) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: A Community Roadmap for Scientific Workflows Research and Development. (2021) authored by Carole A. Goble. Alan L. Rector et al.: The GRAIL concept modelling language for medical terminology. (1997) authored by Carole A. Goble. Stian Soiland-Reyes et al.: Packaging research artefacts with RO-Crate. (2021) authored by Carole A. Goble. Michael R. Crusoe et al.: Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. (2021) authored by Carole A. Goble. Yo Yehudi et al.: Subjective data models in bioinformatics: Do wet-lab and computational biologists comprehend data differently? (2022) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit 2022: A Roadmap Revolution. (2023) authored by Carole A. Goble. Rafael Ferreira da Silva et al.: Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. (2021) authored by Carole A. Goble. Frank van Harmelen et al.: Theoretical And Technological Building Blocks For An Innovation Accelerator (2012) authored by Carole A. Goble. Les Carr et al.: Ontologies and Hypertext. (2004) authored by Carole A. Goble. Robert Stevens et al.: Ontologies in Bioinformatics. (2004) authored by Carole A. Goble. Tom Oinn et al.: Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community. (2007) authored by Carole A. Goble{'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. She is principal investigator (PI) of the myGrid, BioCatalogue and myExperiment projects and co-leads the Information Management Group (IMG) with Norman Paton.\\\\nGoble was educated at Maidstone School for Girls. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982.\\\\nHer current research interests include grid computing, the semantic grid, the Semantic Web, ontologies, e-Science, medical informatics, bioinformatics, and Research Objects. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has successfully secured funding from the European Union, the Defense Advanced Research Projects Agency (DARPA) in the United States and UK funding agencies including the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), Economic and Social Research Council (ESRC), Medical Research Council (United Kingdom) (MRC), the Department of Health, the Open Middleware Infrastructure Institute and the Department of Trade and Industry.\\\\nHer work has been published in leading peer reviewed scientific journals including Nucleic Acids Research, Bioinformatics, IEEE Computer, the Journal of Biomedical Semantics, Briefings in Bioinformatics, Artificial Intelligence in Medicine, the Pacific Symposium on Biocomputing conference, the International Journal of Cooperative Information Systems, the Journal of Biomedical Informatics, Nature Genetics and Drug Discovery Today.\\\\nGoble joined the University of Manchester in 1985, and was appointed to a chair in 2000. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008.\\\\nGoble serves on several committees, including the advisory committees of the Science and Technology Facilities Council Physical and Life Sciences advisory committee, the Netherlands Bioinformatics Centre and the European Grid Infrastructure committee.\\\\nShe was appointed to the Biotechnology and Biological Sciences Research Council on 13 June 2013.\\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. She co-founded Cerebra, an early spin-off company to exploit Semantic Web technologies, which has been sold.\\\\nGoble was recipient of the first Jim Gray e-Science Award in December 2008. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. In 2002 she was honoured by Sun Microsystems for her significant achievements in advancing life science computing. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics.\\\\nGoble was appointed Commander of the Order of the British Empire (CBE) in the 2014 New Year Honours for services to science.\\\\nShe was elected a Fellow of the Royal Academy of Engineering (FREng) in 2010. In January 2018 Goble was awarded the degree of Doctorem (honoris causa) by Maastricht University.\\\"}\",\n \"verbalizer_on_all_triples\": \"Carole Goble's written paper amount in year 2012 is 22.\\nCarole Goble's written paper amount in year 2013 is 25.\\nCarole Goble's written paper amount in year 2014 is 28.\\nCarole Goble's written paper amount in year 2015 is 20.\\nCarole Goble's written paper amount in year 2016 is 20.\\nCarole Goble wrote 17 papers in 2017.\\nCarole Goble has a written paper amount of 9 in year 2018.\\nCarole Goble's written paper amount in year 2019 is 11 pages.\\nCarole Goble's written paper amount in year 2020 is 16.\\nCarole Goble's written paper amount in year 2021 is 18.\\nCarole Goble's written paper amount in year 2022 is 14.\\nCarole Goble has written paper amount in year2023: 20.\\nCarole Goble has a 2YrMeanCitedness of 6.0882353782653808594.\\nCarole A. Goble is affiliated with the University of Manchester, UK.\\nCarole Goble's alternative name is \\\"Carole Goble, Goble Carole, C. Goble, Carole, C. A. Goble, Carole Anne Goble, Carole A. Goble\\\".\\n\\\"Robert D. Stevens et al.: Exploring Williams-Beuren syndrome using myGrid. (2004), Giuseppe Pirr<unk> et al.: Combining DHTs and SONs for Semantic-Based Service Discovery. (2009), Carole A. Goble: Towards a Semantic Grid Architecture. (2005), Niall Beard et al.: TeSS: a platform for discovering life-science training opportunities. (2004), Kevin L. Gar\\nCarole Goble cited by count is 24721.\\n\\\"Carole A. Goble et al.: 2012 IEEE 19th International Conference on Web Services, Honolulu, HI, USA, June 24-29, 2012 (2012), Simon Harper et al.: Proceedings of the International Cross-Disciplinary Workshop on Web Accessibility, Chiba, Japan, May 10-14, 2005 (2005), Paul Groth et al.: Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigation\\nCarole Goble has an h-index of 66.\\nCarole Goble has an i10Index of 227.\\nCarole A. Goble is the creator of Carole A. Goble. She is the author of Carole A. Goble.\\nCarole A. Goble's link is \\\"https://en.wikipedia.org/wiki/Carole_Goble, http://www.wikidata.org/entity/Q11604, https://twitter.com/caroleannegoble, https://www.scopus.com/authid/detail.uri?authorId=7004072716, https://zbmath.org/authors/?q=ai:goble.carole, https\\nCarole Goble is a member of the University of Manchester.\\nCarole Goble was modified on 2023-10-18.\\nCarole Goble's name is Carole Goble.\\nCarole Goble has orcidId https://orcid.org/0000-0003-1219-2137.\\nCarole A. Goble's primary affiliation is the University of Manchester, UK.\\nCarole Goble is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS.\\nCarole Goble has 626 works.{'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. She is principal investigator (PI) of the myGrid, BioCatalogue and myExperiment projects and co-leads the Information Management Group (IMG) with Norman Paton.\\\\nGoble was educated at Maidstone School for Girls. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982.\\\\nHer current research interests include grid computing, the semantic grid, the Semantic Web, ontologies, e-Science, medical informatics, bioinformatics, and Research Objects. She applies advances in knowledge technologies and workflow systems to solve information management problems for life scientists and other scientific disciplines. She has successfully secured funding from the European Union, the Defense Advanced Research Projects Agency (DARPA) in the United States and UK funding agencies including the Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC), Economic and Social Research Council (ESRC), Medical Research Council (United Kingdom) (MRC), the Department of Health, the Open Middleware Infrastructure Institute and the Department of Trade and Industry.\\\\nHer work has been published in leading peer reviewed scientific journals including Nucleic Acids Research, Bioinformatics, IEEE Computer, the Journal of Biomedical Semantics, Briefings in Bioinformatics, Artificial Intelligence in Medicine, the Pacific Symposium on Biocomputing conference, the International Journal of Cooperative Information Systems, the Journal of Biomedical Informatics, Nature Genetics and Drug Discovery Today.\\\\nGoble joined the University of Manchester in 1985, and was appointed to a chair in 2000. She is an editorial board member of IEEE Internet Computing, GigaScience, and the International Journal of Web Services Research, and served as the editor-in-chief of Elsevier's Journal of Web Semantics from 2003 to 2008.\\\\nGoble serves on several committees, including the advisory committees of the Science and Technology Facilities Council Physical and Life Sciences advisory committee, the Netherlands Bioinformatics Centre and the European Grid Infrastructure committee.\\\\nShe was appointed to the Biotechnology and Biological Sciences Research Council on 13 June 2013.\\\\nShe has served on the Engineering and Physical Sciences Research Council Technical Opportunities Panel, the Semantic Web Science Association, the British Library's Content Strategy Advisory Board and the Research Councils UK e-Science Steering Committee. She co-founded Cerebra, an early spin-off company to exploit Semantic Web technologies, which has been sold.\\\\nGoble was recipient of the first Jim Gray e-Science Award in December 2008. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. In 2002 she was honoured by Sun Microsystems for her significant achievements in advancing life science computing. She has given keynotes in many forums, including international conferences on digital curation, e-social science, grid computing, Intelligent Systems for Molecular Biology, Pacific Symposium on Biocomputing, hypertext and hypermedia, Bioinformatics Open Source Conference (BOSC), artificial intelligence, systems biology, discovery science, the Semantic Web, International World Wide Web Conference and medical informatics.\\\\nGoble was appointed Commander of the Order of the British Empire (CBE) in the 2014 New Year Honours for services to science.\\\\nShe was elected a Fellow of the Royal Academy of Engineering (FREng) in 2010. In January 2018 Goble was awarded the degree of Doctorem (honoris causa) by Maastricht University.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Paolo Ciccarese et al.: PAV ontology: provenance, authoring and versioning. (2013), Jun Zhao et al.: A Checklist-Based Approach for Quality Assessment of Scientific Information. (2013), Robert Stevens et al.: Using provenance to manage knowledge of In Silico experiments. (2007), S. Kay et al.: What Should We Mean by 'An Electronic Medical Record'? (1991), Carole A. Go\\nCarole A. Goble's link is https://www.scopus.com/authid/detail.uri?authorId=7004072716 and also https://scholar.google.com/citations?user=2G4kqPYAAAAJ.\\nCarole Goble is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7004072716&partnerID=MN8TOARS.\\\\nHer work has won best paper awards at the 3rd IEEE International Conference on e-Science and Grid Computing (2007) and the 11th ACM International Conference on Hypertext. Tony Hey, corporate vice-president of Microsoft External Research, who sponsored the award, said Goble was chosen for the award because of her work to help scientists do data-intensive science through the Apache Taverna. {'author_wikipedia_text': \\\"Carole Anne Goble, CBE FREng FBCS (born 10 April 1961) is a British academic who is Professor of Computer Science at the University of Manchester. Her academic career has been spent at the Department of Computer Science, where she gained her Bachelor of Science degree in computing and information systems from 1979 to 1982\"\n}"}}},{"rowIdx":75,"cells":{"id":{"kind":"string","value":"92faf06a-f760-4624-8fe7-ca527b57c183"},"triples_number":{"kind":"number","value":229,"string":"229"},"question":{"kind":"string","value":"How many articles are attributed to the affiliation in which the creator of 'Measures of Anonymity' is working?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"2.8666665554046630859\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"University of Utah, School of Computing, Salt Lake City, UT, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"Brown University, Providence, RI, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"S. Venkatasubramanian\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"Sivasankari Venkatasubramanian\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"Suresh Venkatasubramanian\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Suresh Venkatasubramanian\"\n },\n {\n \"object\": \"Suresh Venkatasubramanian\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suresh Venkatasubramanian: Clustering on Streams. (2009)\"\n },\n {\n \"object\": \"Suresh Venkatasubramanian\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suresh Venkatasubramanian: Clustering on Streams. (2018)\"\n },\n {\n \"object\": \"Suresh Venkatasubramanian\",\n \"predicate\": \"authored by\",\n \"subject\": \"P. Thomas Fletcher et al.: Horoball Hulls and Extents in Positive Definite Space. 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(2008) authored by Suresh Venkatasubramanian. Ninghui Li et al.: t-Closeness: Privacy Beyond k-Anonymity and l-Diversity. (2007) authored by Suresh Venkatasubramanian. Ninghui Li et al.: Closeness: A New Privacy Measure for Data Publishing. (2010) authored by Suresh Venkatasubramanian. Benjamin Fish et al.: Gaps in Information Access in Social Networks? (2019) authored by Suresh Venkatasubramanian. Benjamin Fish et al.: Gaps in Information Access in Social Networks. (2019) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: On the (im)possibility of fairness. (2016) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: Certifying and removing disparate impact. (2014) authored by Suresh Venkatasubramanian. Balachander Krishnamurthy et al.: On stationarity in Internet measurements through an information-theoretic lens. (2005) authored by Suresh Venkatasubramanian. Dave Clarke et al.: Questions answered. in theory.: http://cstheory.stackexchange.com/. (2010) authored by Suresh Venkatasubramanian. Michael Feldman et al.: Certifying and Removing Disparate Impact. (2015) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian et al.: Fairness in Networks: Social Capital, Information Access, and Interventions. (2021) authored by Suresh Venkatasubramanian. Philip Adler et al.: Auditing Black-Box Models for Indirect Influence. (2016) authored by Suresh Venkatasubramanian. Bing Tian Dai et al.: Rapid Identification of Column Heterogeneity. (2006) authored by Suresh Venkatasubramanian. Philip Adler et al.: Auditing black-box models for indirect influence. (2018) authored by Suresh Venkatasubramanian. Noelle Brown et al.: Designing Ethically-Integrated Assignments: It's Harder Than it Looks. (2023) authored by Suresh Venkatasubramanian. Krishna Bharat et al.: The Connectivity Server: Fast Access to Linkage Information on the Web. (1998) authored by Suresh Venkatasubramanian. Vivek Gupta et al.: Equalizing Recourse across Groups. (2019) authored by Suresh Venkatasubramanian. Hannah C. Beilinson et al.: Clustering via Information Access in a Network. (2020) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: The many stages of writing a paper, and how to close the deal. (2013) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: A theory repository on the Web: a proposal. (1999) authored by Suresh Venkatasubramanian. Roy Goldman et al.: Proximity Search in Databases. (1998) authored by Suresh Venkatasubramanian. Rui-Jie Yew et al.: You Still See Me: How Data Protection Supports the Architecture of ML Surveillance. (2024) authored by Suresh Venkatasubramanian He is known for his contributions in computational geometry and differential privacy, and his work has been covered by news outlets such as Science Friday, NBC News, and Gizmodo. He also runs the Geomblog, which has received coverage from the New York Times, Hacker News, KDnuggets and other media outlets. {'author_wikipedia_text': 'Suresh Venkatasubramanian is an Indian computer scientist and professor at Brown University\",\n \"plain\": \"Suresh Venkatasubramanian is Author. Suresh Venkatasubramanian modified 2023-10-18. Suresh Venkatasubramanian citedByCount 8021. Suresh Venkatasubramanian written paper amount in year2012: 18. Suresh Venkatasubramanian written paper amount in year2012: 18. Suresh Venkatasubramanian written paper amount in year2013: 14. Suresh Venkatasubramanian written paper amount in year2013: 14. Suresh Venkatasubramanian written paper amount in year2014: 10. Suresh Venkatasubramanian written paper amount in year2014: 10. Suresh Venkatasubramanian written paper amount in year2015: 14. Suresh Venkatasubramanian written paper amount in year2015: 14. Suresh Venkatasubramanian written paper amount in year2016: 16. 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Suresh Venkatasubramanian name Suresh Venkatasubramanian. Suresh Venkatasubramanian member of John Brown University. Suresh Venkatasubramanian h-index 36. Suresh Venkatasubramanian 2YrMeanCitedness 2.8666665554046630859. Suresh Venkatasubramanian alternativeName S. Venkatasubramanian. Suresh Venkatasubramanian alternativeName Sivasankari Venkatasubramanian. Suresh Venkatasubramanian alternativeName Suresh Venkatasubramanian. Suresh Venkatasubramanian i10Index 83. Suresh Venkatasubramanian orcidId https://orcid.org/0000-0001-7679-7130. Suresh Venkatasubramanian is Creator. Suresh Venkatasubramanian is Person. Suresh Venkatasubramanian link http://www.wikidata.org/entity/Q29383797. Suresh Venkatasubramanian affiliation University of Utah, School of Computing, Salt Lake City, UT, USA. Suresh Venkatasubramanian affiliation Brown University, Providence, RI, USA. Suresh Venkatasubramanian link https://www.cs.utah.edu/~suresh/. Suresh Venkatasubramanian link https://vivo.brown.edu/display/suresh. Suresh Venkatasubramanian primary affiliation Brown University, Providence, RI, USA. Suresh Venkatasubramanian link https://vivo.brown.edu/display/suresh. Suresh Venkatasubramanian link https://mathgenealogy.org/id.php?id=49331. Suresh Venkatasubramanian link https://twitter.com/geomblog. Suresh Venkatasubramanian link https://ieeexplore.ieee.org/author/37275761900. Suresh Venkatasubramanian link https://mathscinet.ams.org/mathscinet/MRAuthorID/659671. Suresh Venkatasubramanian link https://en.wikipedia.org/wiki/Suresh_Venkatasubramanian. Suresh Venkatasubramanian: Clustering on Streams. (2009) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Clustering on Streams. (2018) authored by Suresh Venkatasubramanian. P. Thomas Fletcher et al.: Horoball Hulls and Extents in Positive Definite Space. (2011) authored by Suresh Venkatasubramanian. I. Elizabeth Kumar et al.: Problems with Shapley-value-based explanations as feature importance measures. (2020) authored by Suresh Venkatasubramanian. Noelle Brown et al.: Designing Ethically-Integrated Assignments: It's Harder Than it Looks. (2023) authored by Suresh Venkatasubramanian. Shankar Krishnan and Suresh Venkatasubramanian: Approximate shape matching and symmetry detection for 3D shapes with guaranteed error bounds. (2009) authored by Suresh Venkatasubramanian. Divesh Srivastava and Suresh Venkatasubramanian: Information theory for data management. (2010) authored by Suresh Venkatasubramanian. Peter Hillyard et al.: Track estimation using link line crossing information in wireless networks. (2013) authored by Suresh Venkatasubramanian. Peter Hillyard et al.: You're crossing the line: Localizing border crossings using wireless RF links. (2015) authored by Suresh Venkatasubramanian. Sudipto Guha et al.: Application of the two-sided depth test to CSG rendering. (2003) authored by Suresh Venkatasubramanian. Rasmus Pagh and Suresh Venkatasubramanian: Proceedings of the Twentieth Workshop on Algorithm Engineering and Experiments, ALENEX 2018, New Orleans, LA, USA, January 7-8, 2018. (2018) edited by Suresh Venkatasubramanian. Quanfu Fan et al.: Hardware-Assisted Natural Neighbor Interpolation. (2005) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian and Qiushi Wang: The Johnson-Lindenstrauss Transform: An Empirical Study. (2011) authored by Suresh Venkatasubramanian. P. Thomas Fletcher et al.: Robust statistics on Riemannian manifolds via the geometric median. (2008) authored by Suresh Venkatasubramanian. Bing Tian Dai et al.: Validating Multi-column Schema Matchings by Type. (2008) authored by Suresh Venkatasubramanian. Balachander Krishnamurthy et al.: On stationarity in Internet measurements through an information-theoretic lens. (2005) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian and Jieping Ye: Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 (2015) edited by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Fairness in representation: quantifying stereotyping as a representational harm. (2019) authored by Suresh Venkatasubramanian. John Moeller et al.: A Unified View of Localized Kernel Learning. (2016) authored by Suresh Venkatasubramanian. Parasaran Raman et al.: Spatially-Aware Comparison and Consensus for Clusterings. (2011) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Approximate bregman near neighbors in sublinear time: beyond the triangle inequality. (2012) authored by Suresh Venkatasubramanian. Paul W. Finn et al.: RAPID: Randomized Pharmacophore Identification for Drug Design. (1997) authored by Suresh Venkatasubramanian. Martin Gavrilov et al.: Geometric Pattern Matching: A Performance Study. (1999) authored by Suresh Venkatasubramanian. Sarang C. Joshi et al.: Comparing distributions and shapes using the kernel distance. (2011) authored by Suresh Venkatasubramanian. Nabil H. Mustafa et al.: Hardware-assisted view-dependent map simplification. (2001) authored by Suresh Venkatasubramanian. John Moeller et al.: A Geometric Algorithm for Scalable Multiple Kernel Learning. (2014) authored by Suresh Venkatasubramanian. Shankar Krishnan et al.: Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. (2005) authored by Suresh Venkatasubramanian. Deepak Agarwal et al.: The hunting of the bump: on maximizing statistical discrepancy. (2006) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: Restricted strip covering and the sensor cover problem. (2007) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: On external memory graph traversal. (2000) authored by Suresh Venkatasubramanian. Alon Efrat et al.: Pattern matching for sets of segments. (2001) authored by Suresh Venkatasubramanian. Sudipto Guha et al.: Streaming and sublinear approximation of entropy and information distances. (2006) authored by Suresh Venkatasubramanian. Piotr Indyk and Suresh Venkatasubramanian: Approximate congruence in nearly linear time. (2000) authored by Suresh Venkatasubramanian. Shankar Krishnan et al.: Hardware-assisted computation of depth contours. (2002) authored by Suresh Venkatasubramanian. Bing Tian Dai et al.: Column Heterogeneity as a Measure of Data Quality. (2006) authored by Suresh Venkatasubramanian. Philip Adler et al.: Auditing Black-Box Models for Indirect Influence. (2016) authored by Suresh Venkatasubramanian. Arvind Agarwal et al.: Sensor Network Localization for Moving Sensors. (2012) authored by Suresh Venkatasubramanian. Bing Tian Dai et al.: Rapid Identification of Column Heterogeneity. (2006) authored by Suresh Venkatasubramanian. Parasaran Raman and Suresh Venkatasubramanian: Power to the Points: Validating Data Memberships in Clusterings. (2013) authored by Suresh Venkatasubramanian. Amit Goyal et al.: Sketching Techniques for Large Scale NLP. (2010) authored by Suresh Venkatasubramanian. Piyush Rai et al.: Streamed Learning: One-Pass SVMs. (2009) authored by Suresh Venkatasubramanian. Amirali Abdullah and Suresh Venkatasubramanian: A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds. (2015) authored by Suresh Venkatasubramanian. Rajeev Motwani et al.: On the decidability of accessibility problems (extended abstract). (2000) authored by Suresh Venkatasubramanian. Piotr Indyk et al.: Geometric Matching Under Noise: Combinatorial Bounds and Algorithms. (1999) authored by Suresh Venkatasubramanian. Tamraparni Dasu et al.: Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. (2009) authored by Suresh Venkatasubramanian. Paul W. Finn et al.: Geometric Manipulation of Flexible Ligands. (1996) authored by Suresh Venkatasubramanian. Suresh Krishnan et al.: Statistical data depth and the graphics hardware. (2003) authored by Suresh Venkatasubramanian. Emmanuel Müller et al.: 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012. (2012) edited by Suresh Venkatasubramanian. Jeff M. Phillips et al.: Generating a Diverse Set of High-Quality Clusterings. (2011) authored by Suresh Venkatasubramanian. Yang Zhao et al.: Radio tomographic imaging and tracking of stationary and moving people via kernel distance. (2013) authored by Suresh Venkatasubramanian. Amit Goyal et al.: Streaming for large scale NLP: Language Modeling. (2009) authored by Suresh Venkatasubramanian. Nick Koudas et al.: Metric Functional Dependencies. (2009) authored by Suresh Venkatasubramanian. Ninghui Li et al.: t-Closeness: Privacy Beyond k-Anonymity and l-Diversity. (2007) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: Directed graphs and rectangular layouts. (2007) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Measures of Anonymity. (2008) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces. (2016) authored by Suresh Venkatasubramanian. Pegah Nokhiz et al.: Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. (2021) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: The many stages of writing a paper, and how to close the deal. (2013) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian et al.: Algorithms for Weighted Graph Problems on The Modified Cellular Graph Automaton. (1989) authored by Suresh Venkatasubramanian. Arvind Agarwal et al.: A Unified Algorithmic Framework for Multi-Dimensional Scaling (2010) authored by Suresh Venkatasubramanian. Philip Adler et al.: Auditing Black-box Models by Obscuring Features. (2016) authored by Suresh Venkatasubramanian. Pegah Nokhiz et al.: Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. (2021) authored by Suresh Venkatasubramanian. Kathi Fisler et al.: Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. (2022) authored by Suresh Venkatasubramanian. John Moeller et al.: Continuous Kernel Learning. (2016) authored by Suresh Venkatasubramanian. Avishek Saha et al.: Active Supervised Domain Adaptation. (2011) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Streaming Verification of Graph Properties. (2016) authored by Suresh Venkatasubramanian. Samira Daruki et al.: Streaming Verification in Data Analysis. (2015) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Computational Philosophy: On Fairness in Automated Decision Making. (2017) authored by Suresh Venkatasubramanian. Hal Daumé III et al.: Efficient Protocols for Distributed Classification and Optimization. (2012) authored by Suresh Venkatasubramanian. Danielle Ensign et al.: The Complexity of Explaining Neural Networks Through (group) Invariants. (2017) authored by Suresh Venkatasubramanian. Danielle Ensign et al.: Decision making with limited feedback. (2018) authored by Suresh Venkatasubramanian. Deepak Agarwal et al.: Spatial scan statistics: approximations and performance study. (2006) authored by Suresh Venkatasubramanian. Arvind Agarwal et al.: Universal multi-dimensional scaling. (2010) authored by Suresh Venkatasubramanian. Michael Feldman et al.: Certifying and Removing Disparate Impact. (2015) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian et al.: Fairness in Networks: Social Capital, Information Access, and Interventions. (2021) authored by Suresh Venkatasubramanian. Charles T. Marx et al.: Disentangling Influence: Using disentangled representations to audit model predictions. (2019) authored by Suresh Venkatasubramanian. Michelle Bao et al.: It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. (2021) authored by Suresh Venkatasubramanian. Benjamin Fish et al.: Gaps in Information Access in Social Networks? (2019) authored by Suresh Venkatasubramanian. Roy Goldman et al.: Proximity Search in Databases. (1998) authored by Suresh Venkatasubramanian. Danielle Ensign et al.: Runaway Feedback Loops in Predictive Policing. (2018) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: A comparative study of fairness-enhancing interventions in machine learning. (2019) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian and Mark Alfano: The philosophical basis of algorithmic recourse. (2020) authored by Suresh Venkatasubramanian. Narayanan Shivakumar and Suresh Venkatasubramanian: Efficient Indexing for Broadcast Based Wireless Systems. (1996) authored by Suresh Venkatasubramanian. Krishna Bharat et al.: The Connectivity Server: Fast Access to Linkage Information on the Web. (1998) authored by Suresh Venkatasubramanian. Amit Chakrabarti et al.: On Interactivity in Arthur-Merlin Communication and Stream Computation. (2013) authored by Suresh Venkatasubramanian. Amit Chakrabarti et al.: Verifiable Stream Computation and Arthur-Merlin Communication. (2014) authored by Suresh Venkatasubramanian. Jatin Chhugani et al.: vLOD: High-Fidelity Walkthrough of Large Virtual Environments. (2005) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: Restricted Strip Covering and the Sensor Cover Problem (2006) authored by Suresh Venkatasubramanian. Sudipto Guha et al.: Streaming and Sublinear Approximation of Entropy and Information Distances (2005) authored by Suresh Venkatasubramanian. Parasaran Raman and Suresh Venkatasubramanian: Power to the Points: Validating Data Memberships in Clusterings (2013) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Approximate Bregman Near Neighbors in Sublinear Time: beyond the Triangle inequality. (2013) authored by Suresh Venkatasubramanian. Nabil H. Mustafa et al.: Dynamic simplification and visualization of large maps. (2006) authored by Suresh Venkatasubramanian. Rui-Jie Yew et al.: You Still See Me: How Data Protection Supports the Architecture of ML Surveillance. (2024) authored by Suresh Venkatasubramanian. Deepak Agarwal et al.: The Hunting of the Bump: On Maximizing Statistical Discrepancy (2005) authored by Suresh Venkatasubramanian. Ashkan Bashardoust et al.: Reducing Access Disparities in Networks using Edge Augmentation. (2022) authored by Suresh Venkatasubramanian. Jeff M. Phillips et al.: Generating a Diverse Set of High-Quality Clusterings (2011) authored by Suresh Venkatasubramanian. Cyrus Cousins et al.: To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. (2024) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Algorithmic Fairness: Measures, Methods and Representations. (2019) authored by Suresh Venkatasubramanian. Indra Kumar et al.: Shapley Residuals: Quantifying the limits of the Shapley value for explanations. (2021) authored by Suresh Venkatasubramanian. Amit Chakrabarti et al.: Verifiable Stream Computation and Arthur-Merlin Communication. (2015) authored by Suresh Venkatasubramanian. Dave Clarke et al.: Questions answered. in theory.: http://cstheory.stackexchange.com/. (2010) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Discrete mathematical problems with medical applications DIMACS volume 55. (2002) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Computational geometry column 55: new developments in nonnegative matrix factorization. (2013) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Moving heaven and earth: distances between distributions. (2013) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: A theory repository on the Web: a proposal. (1999) authored by Suresh Venkatasubramanian. Alon Efrat et al.: Pattern Matching for Sets of Segments. (2004) authored by Suresh Venkatasubramanian. Martin Gavrilov et al.: Combinatorial and Experimental Methods for Approximate Point Pattern Matching. (2004) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making. (2021) authored by Suresh Venkatasubramanian. Danielle Ensign et al.: The complexity of explaining neural networks through (group) invariants. (2020) authored by Suresh Venkatasubramanian. Ninghui Li et al.: Closeness: A New Privacy Measure for Data Publishing. (2010) authored by Suresh Venkatasubramanian. Hal Daumé III et al.: Protocols for Learning Classifiers on Distributed Data. (2012) authored by Suresh Venkatasubramanian. Avishek Saha et al.: Online Learning of Multiple Tasks and Their Relationships. (2011) authored by Suresh Venkatasubramanian. P. Thomas Fletcher et al.: The geometric median on Riemannian manifolds with application to robust atlas estimation. (2009) authored by Suresh Venkatasubramanian. Philip Adler et al.: Auditing black-box models for indirect influence. (2018) authored by Suresh Venkatasubramanian. Jeff M. Phillips and Suresh Venkatasubramanian: A Gentle Introduction to the Kernel Distance (2011) authored by Suresh Venkatasubramanian. Benjamin Fish et al.: Gaps in Information Access in Social Networks. (2019) authored by Suresh Venkatasubramanian. P. Thomas Fletcher et al.: Computing Hulls And Centerpoints In Positive Definite Space (2009) authored by Suresh Venkatasubramanian. Hannah C. Beilinson et al.: Clustering via Information Access in a Network. (2020) authored by Suresh Venkatasubramanian. I. Elizabeth Kumar et al.: Problems with Shapley-value-based explanations as feature importance measures. (2020) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: Geometric shape matching and drug design. (1999) authored by Suresh Venkatasubramanian. Pankaj K. Agarwal et al.: Streaming Geometric Optimization Using Graphics Hardware. (2003) authored by Suresh Venkatasubramanian. Babak Ahmadi et al.: Type-based categorization of relational attributes. (2009) authored by Suresh Venkatasubramanian. Shankar Krishnan et al.: Optimisation-on-a-manifold for global registration of multiple 3D point sets. (2007) authored by Suresh Venkatasubramanian. David S. Johnson et al.: Compressing Large Boolean Matrices using Reordering Techniques. (2004) authored by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. (2023) authored by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Fair Clustering via Equitable Group Representations. (2021) authored by Suresh Venkatasubramanian. Ashkan Bashardoust et al.: Reducing Access Disparities in Networks using Edge Augmentation✱. (2023) authored by Suresh Venkatasubramanian. Kweku Kwegyir-Aggrey et al.: The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. (2023) authored by Suresh Venkatasubramanian. Lydia Reader et al.: Models for understanding and quantifying feedback in societal systems. (2022) authored by Suresh Venkatasubramanian. Andrew D. Selbst et al.: Fairness and Abstraction in Sociotechnical Systems. (2019) authored by Suresh Venkatasubramanian. Jon M. Kleinberg et al.: Storage Management for Evolving Databases. (1997) authored by Suresh Venkatasubramanian. Andre Vincent Pascal Grosset et al.: Evaluating graph coloring on GPUs. (2011) authored by Suresh Venkatasubramanian. Maurizio Bocca et al.: Multiple Target Tracking with RF Sensor Networks. (2014) authored by Suresh Venkatasubramanian. Paul W. Finn et al.: RAPID: Randomized pharmacophore identification for drug design. (1998) authored by Suresh Venkatasubramanian. Piotr Indyk and Suresh Venkatasubramanian: Approximate congruence in nearly linear time. (2003) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: Rectangular layouts and contact graphs. (2008) authored by Suresh Venkatasubramanian. Sudipto Guha et al.: Sublinear estimation of entropy and information distances. (2009) authored by Suresh Venkatasubramanian. Aditya Bhaskara et al.: Sublinear Algorithms for MAXCUT and Correlation Clustering. (2018) authored by Suresh Venkatasubramanian. Charles T. Marx et al.: Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. (2019) authored by Suresh Venkatasubramanian. Nadya Bliss et al.: A Research Ecosystem for Secure Computing. (2021) authored by Suresh Venkatasubramanian. John Moeller et al.: A Unified View of Localized Kernel Learning. (2016) authored by Suresh Venkatasubramanian. Arnab Paul and Suresh Venkatasubramanian: A Group Theoretic Perspective on Unsupervised Deep Learning. (2015) authored by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Fairness in representation: quantifying stereotyping as a representational harm. (2019) authored by Suresh Venkatasubramanian. Maurizio Bocca et al.: Multiple Target Tracking with RF Sensor Networks (2013) authored by Suresh Venkatasubramanian. Benjamin Zorn et al.: Evolving Methods for Evaluating and Disseminating Computing Research. (2020) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: On the (im)possibility of fairness. (2016) authored by Suresh Venkatasubramanian. Parinya Chalermsook and Suresh Venkatasubramanian: Clustering With Center Constraints. (2013) authored by Suresh Venkatasubramanian. Aditya Bhaskara et al.: Sublinear Algorithms for MAXCUT and Correlation Clustering. (2018) authored by Suresh Venkatasubramanian. Amit Chakrabarti et al.: Verifiable Stream Computation and Arthur-Merlin Communication. (2019) authored by Suresh Venkatasubramanian. Divesh Srivastava and Suresh Venkatasubramanian: Information Theory For Data Management. (2009) authored by Suresh Venkatasubramanian. Amit Goyal et al.: On minimizing budget and time in influence propagation over social networks. (2013) authored by Suresh Venkatasubramanian. Alon Efrat et al.: Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves. (2007) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: Certifying and removing disparate impact. (2014) authored by Suresh Venkatasubramanian. Kweku Kwegyir-Aggrey et al.: The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. (2023) authored by Suresh Venkatasubramanian. Hal Daumé III et al.: Protocols for Learning Classifiers on Distributed Data (2012) authored by Suresh Venkatasubramanian. Michelle Bao et al.: It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. (2021) authored by Suresh Venkatasubramanian. Vivek Gupta et al.: Equalizing Recourse across Groups. (2019) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Sketching, Embedding, and Dimensionality Reduction for Information Spaces. (2015) authored by Suresh Venkatasubramanian. Hal Daumé III et al.: Efficient Protocols for Distributed Classification and Optimization (2012) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Approximate Bregman near neighbors in sublinear time: Beyond the triangle inequality (2011) authored by Suresh Venkatasubramanian. Danielle Ensign et al.: Runaway Feedback Loops in Predictive Policing. (2017) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian: The Graphics Card as a Streaming Computer (2003) authored by Suresh Venkatasubramanian. John Moeller et al.: Fast Multiple Kernel Learning With Multiplicative Weight Updates (2012) authored by Suresh Venkatasubramanian. Amanda Bower et al.: Fair Pipelines. (2017) authored by Suresh Venkatasubramanian. Mary W. Hall et al.: Rethinking Abstractions for Big Data: Why, Where, How, and What. (2013) authored by Suresh Venkatasubramanian. Suresh Venkatasubramanian et al.: Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society. (2020) authored by Suresh Venkatasubramanian. Piyush Rai et al.: Streamed Learning: One-Pass SVMs (2009) authored by Suresh Venkatasubramanian. Amirali Abdullah and Suresh Venkatasubramanian: A directed isoperimetric inequality with application to Bregman near neighbor lower bounds. (2014) authored by Suresh Venkatasubramanian. Samira Daruki et al.: Streaming Verification in Data Analysis. (2015) authored by Suresh Venkatasubramanian. Sorelle A. Friedler et al.: A comparative study of fairness-enhancing interventions in machine learning. (2018) authored by Suresh Venkatasubramanian. Adam L. Buchsbaum et al.: Rectangular Layouts and Contact Graphs (2006) authored by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. (2022) authored by Suresh Venkatasubramanian. Arnab Paul and Suresh Venkatasubramanian: Why does Deep Learning work? - A perspective from Group Theory. (2014) authored by Suresh Venkatasubramanian. Sarang C. Joshi et al.: Matching Shapes Using the Current Distance (2010) authored by Suresh Venkatasubramanian. Amirali Abdullah et al.: Streaming Verification of Graph Properties. (2016) authored by Suresh Venkatasubramanian. Parasaran Raman et al.: Spatially-Aware Comparison and Consensus for Clusterings (2011) authored by Suresh Venkatasubramanian. Alon Efrat et al.: Pattern Matching for sets of segments (2000) authored by Suresh Venkatasubramanian. Mohsen Abbasi et al.: Fair clustering via equitable group representations. (2020) authored by Suresh Venkatasubramanian{'author_wikipedia_text': 'Suresh Venkatasubramanian is an Indian computer scientist and professor at Brown University. In 2021, Prof. Venkatasubramanian was appointed to the White House Office of Science and Technology Policy, advising on matters relating to fairness and bias in tech systems. He was formerly a professor at the University of Utah. He is known for his contributions in computational geometry and differential privacy, and his work has been covered by news outlets such as Science Friday, NBC News, and Gizmodo. He also runs the Geomblog, which has received coverage from the New York Times, Hacker News, KDnuggets and other media outlets. He has served as associate editor of the International Journal of Computational Geometry and Applications and as the academic editor of PeerJ Computer Science, and on program committees for the IEEE International Conference on Data Mining, the SIAM Conference on Data Mining, NIPS, SIGKDD, SODA, and STACS.\\\\nSuresh Venkatasubramanian attended the Indian Institute of Technology Kanpur for his BTech and received his PhD from Stanford University in 1999 under the joint supervision of Rajeev Motwani and Jean-Claude Latombe. Following his PhD he joined AT&T Labs and served as an adjunct professor at the University of Pennsylvania where he taught courses on computational geometry and streaming algorithms for GPGPUs. In 2007 he joined the University of Utah School of Computing as the John E. and Marva M. Warnock Presidential Endowed Chair for Faculty Innovation in Computer Science. He received a National Science Foundation CAREER Award in 2010, and in 2013-2014 he was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley and at Google. In 2021, Prof. Venkatasubramanian was appointed to the White House Office of Science and Technology Policy, advising on matters relating to fairness and bias in tech systems, in addition, he moved to Brown University to join the Computer Science department and their Data Science Initiative. At Brown, Prof. Venkatasubramanian will be starting a new center on Computing for the People, to help think through what it means to do computer science that truly responds to the needs of people, instead of hiding behind a neutrality that merely gives more power to those already in power.'}\",\n \"verbalizer_on_all_triples\": \"Suresh Venkatasubramanian wrote 18 papers in 2012.\\nSuresh Venkatasubramanian wrote 14 papers in 2013.\\nSuresh Venkatasubramanian wrote 10 papers in 2014.\\nSuresh Venkatasubramanian wrote 14 papers in 2015.\\nSuresh Venkatasubramanian wrote 16 papers in 2016.\\nSuresh Venkatasubramanian wrote 8 papers in 2017.\\nSuresh Venkatasubramanian wrote 12 papers in 2018.\\nSuresh Venkatasubramanian's written paper amount in year 2019 is 12.\\nSuresh Venkatasubramanian has a written paper amount of 13 in year 2020.\\nSuresh Venkatasubramanian has a written paper amount of 17 in year 2021.\\nSuresh Venkatasubramanian has a written paper amount of 16 in year 2022.\\nSuresh Venkatasubramanian's written paper amount in year2023 is 12.\\nSuresh Venkatasubramanian's 2YrMeanCitedness is 2.8666665554046630859.\\nSuresh Venkatasubramanian is affiliated with the University of Utah, School of Computing, Salt Lake City, UT, USA and Brown University, Providence, RI, USA.\\nSivasankari Venkatasubramanian and S. Venkatasubramanian are alternative names for Suresh Venkatasubramanian.\\n\\\"Philip Adler et al.: Auditing Black-Box Models for Indirect Influence. (2016), Paul W. Finn et al.: RAPID: Randomized Pharmacophore Identification for Drug Design. (1997), Vivek Gupta et al.: Equalizing Recourse across Groups. (2019), Alon Efrat et al.: Pattern matching for sets of segments. (2001), Suresh Venkatasubramanian et al\\nSuresh Venkatasubramanian is cited by count 8021.\\nRasmus Pagh and Suresh Venkatasubramanian: Proceedings of the Twentieth Workshop on Algorithm Engineering and Experiments, ALENEX 2018, New Orleans, LA, USA, January 7-8, 2018. (2018) were edited by Emmanuel Müller et al.: 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012.\\nSuresh Venkatasubramanian has an h-index of 36.\\nSuresh Venkatasubramanian has an i10Index of 83.\\nSuresh Venkatasubramanian is the creator and the author.\\nSuresh Venkatasubramanian is linked to \\\"http://www.wikidata.org/entity/Q29383797, https://twitter.com/geomblog, https://en.wikipedia.org/wiki/Suresh_Venkatasubramanian, https://ieeexplore.ieee.org/author/37275761900, https://mathscinet.ams.org/mathscinet/MRAuthorID/65\\nSuresh Venkatasubramanian is a member of John Brown University.\\nSuresh Venkatasubramanian was modified on 2023-10-18.\\nSuresh Venkatasubramanian is also known as Suresh Venkatasubramanian.\\nSuresh Venkatasubramanian has orcidId at https://orcid.org/0000-0001-7679-7130.\\nSuresh Venkatasubramanian's primary affiliation is Brown University, Providence, RI, USA.\\nSuresh Venkatasubramanian has 278 works.{'author_wikipedia_text': 'Suresh Venkatasubramanian is an Indian computer scientist and professor at Brown University. In 2021, Prof. Venkatasubramanian was appointed to the White House Office of Science and Technology Policy, advising on matters relating to fairness and bias in tech systems. He was formerly a professor at the University of Utah. He is known for his contributions in computational geometry and differential privacy, and his work has been covered by news outlets such as Science Friday, NBC News, and Gizmodo. He also runs the Geomblog, which has received coverage from the New York Times, Hacker News, KDnuggets and other media outlets. He has served as associate editor of the International Journal of Computational Geometry and Applications and as the academic editor of PeerJ Computer Science, and on program committees for the IEEE International Conference on Data Mining, the SIAM Conference on Data Mining, NIPS, SIGKDD, SODA, and STACS.\\\\nSuresh Venkatasubramanian attended the Indian Institute of Technology Kanpur for his BTech and received his PhD from Stanford University in 1999 under the joint supervision of Rajeev Motwani and Jean-Claude Latombe. Following his PhD he joined AT&T Labs and served as an adjunct professor at the University of Pennsylvania where he taught courses on computational geometry and streaming algorithms for GPGPUs. In 2007 he joined the University of Utah School of Computing as the John E. and Marva M. Warnock Presidential Endowed Chair for Faculty Innovation in Computer Science. He received a National Science Foundation CAREER Award in 2010, and in 2013-2014 he was a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley and at Google. In 2021, Prof. Venkatasubramanian was appointed to the White House Office of Science and Technology Policy, advising on matters relating to fairness and bias in tech systems, in addition, he moved to Brown University to join the Computer Science department and their Data Science Initiative. At Brown, Prof. Venkatasubramanian will be starting a new center on Computing for the People, to help think through what it means to do computer science that truly responds to the needs of people, instead of hiding behind a neutrality that merely gives more power to those already in power.'}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Philip Adler et al.: Auditing Black-Box Models for Indirect Influence. (2016), Vivek Gupta et al.: Equalizing Recourse across Groups. (2019), Balachander Krishnamurthy et al.: On stationarity in Internet measurements through an information-theoretic lens. (2005), Hannah C. Beilinson et al.: Clustering via Information Access in a Network. (2020), Suresh Ven He is known for his contributions in computational geometry and differential privacy, and his work has been covered by news outlets such as Science Friday, NBC News, and Gizmodo. He also runs the Geomblog, which has received coverage from the New York Times, Hacker News, KDnuggets and other media outlets. {'author_wikipedia_text': 'Suresh Venkatasubramanian is an Indian computer scientist and professor at Brown University\"\n}"}}},{"rowIdx":76,"cells":{"id":{"kind":"string","value":"7b5c8b01-d092-4b82-8b39-5decc5b33ff8"},"triples_number":{"kind":"number","value":201,"string":"201"},"question":{"kind":"string","value":"What is the hIndex of the author of the paper 'A new multicarrier transceiver based on the discrete cosine transform' published in WCNC 2005?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"0.60000002384185791016\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"University of Texas at Dallas, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"H. Minn\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"Hliang Minn\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Hlaing Minn\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yinghui Li et al.: Frequency Offset Estimation for MB-OFDM-Based UWB Systems in Time-Variant Channels. (2007)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenxun Qiu et al.: Enhanced Frequency Diversity Exploitation in Carrier Aggregation for LTE-Advanced Systems. (2011)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"P. Chaturanga Weeraddana et al.: Probability of Error Analysis of 4-QAM OFDM Systems with Random Residual Frequency Offset. (2008)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dandan Wang et al.: An Opportunistic STBC-OFDM Scheme with Reduced PAR in the Presence of Frequency Offset. (2007)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yinghui Li and Hlaing Minn: Consistent Pilot Designs for Frequency Offset Estimation in Mimo OFDM Systems. (2007)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amin Khansefid and Hlaing Minn: Asymptotically optimal power allocation for massive MIMO uplink. (2014)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amin Khansefid and Hlaing Minn: Performance bounds for massive MIMO uplink. (2014)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Cristina Comaniciu et al.: A Game Theoretic Solution for Exploiting Multiuser Diversity in Cooperative Slotted Aloha. (2007)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2004)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn et al.: Pilot Designs for Consistent Frequency Offset Estimation in OFDM Systems. (2006)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn et al.: A New Paradigm for Non-Geostationary Satellite Communications and Radio Astronomy System. (2018)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Poramate Tarasak et al.: Multistage receiver for differential space-time block codes. (2003)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dandan Wang et al.: Opportunistic Cooperative ARQ Transmission Scheme in Cellular Networks. (2008)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn and Poramate Tarasak: Improved maximum likelihood frequency estimation based on likelihood metric design. (2005)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Xiaoyu Fu et al.: Two Novel Iterative Joint Frequency-Offset and Channel Estimation Methods for OFDMA Uplink. (2006)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Balkan Kecicioglu et al.: Spatial, spectral and temporal adaptation for fast fading MIMO-OFDMA systems. (2011)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Poramate Tarasak et al.: Differential modulation for two-user cooperative diversity systems. (2004)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn and Naofal Al-Dhahir: Training signal design for MIMO OFDM channel estimation in the presence of frequency offsets. (2005)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pochun Yen et al.: PAPR reduction for bandwidth-aggregated OFDM and SC-FDMA systems. (2011)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"V. K. Varma Gottumukkala et al.: Reduced-Complexity Polynomial Expansion Approximation to MMSE-DFE. (2009)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Munoz and Hlaing Minn: Pilot Designs with Guard Bands for Channel Estimation of MIMOOFDM Systems with Frequency-Dependent I/Q Imbalances. (2009)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yinghui Li et al.: Frequency Offset Estimation for MB-OFDM-based UWB Systems. (2006)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn et al.: Channel estimation assisted improved timing offset estimation. (2004)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn et al.: Optimal periodic training signal for frequency offset estimation in frequency selective fading channels. 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Chaturanga Weeraddana et al.: Probability of error analysis of BPSK OFDM systems with random residual frequency offset. (2009)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hao Xie and Hlaing Minn: Analysis of RFI From MEO Inter-Satellite Links to LEO Passive Sensors. (2024)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dong Han and Hlaing Minn: Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes. (2019)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chia-Chin Chong et al.: On the performance comparison of VSF-OFCDMA and OFDMA. (2008)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hlaing Minn and Vijay K. Bhargava: An investigation into time-domain approach for OFDM channel estimation. 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Ramadan et al.: Comments and Corrections to \\\"A New Paradigm for Spectrum Sharing Between Cellular Wireless Communications and Radio Astronomy Systems\\\". (2018)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Majdi Bsoul et al.: Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG. (2011)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Baile Xie and Hlaing Minn: Real-Time Sleep Apnea Detection by Classifier Combination. (2012)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Baile Xie et al.: Adaptive Interference Alignment with CSI Uncertainty (2012)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Qi Zhan and Hlaing Minn: New Integer Normalized Carrier Frequency Offset Estimators. 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Ramadan and Hlaing Minn: Artificial Noise Aided Hybrid Precoding Design for Secure mmWave MISO Systems With Partial Channel Knowledge. (2017)\"\n },\n {\n \"object\": \"Hlaing Minn\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mahmoud E. Abdelgelil and Hlaing Minn: Impact of Nonlinear RFI and Countermeasure for Radio Astronomy Receivers. 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(2005) authored by Hlaing Minn. Naofal Al-Dhahir et al.: Optimum DCT-based multicarrier transceivers for frequency-selective channels. (2006) authored by Hlaing Minn. Naofal Al-Dhahir et al.: Optimum DCT-Based Multicarrier Transceivers for Frequency-Selective Channels. (2006) authored by Hlaing Minn. Wenxun Qiu et al.: Orthogonal Multicarrier Division Multiple Access for Multipoint-to-Multipoint Networks. (2013) authored by Hlaing Minn. Poramate Tarasak and Hlaing Minn: Resource allocation for multipoint-to-multipoint orthogonal multicarrier division duplexing. (2012) authored by Hlaing Minn. Baile Xie et al.: Exact Signal Model and New Carrier Frequency Offset Compensation Scheme for OFDM. (2012) authored by Hlaing Minn. Wenxun Qiu and Hlaing Minn: Orthogonal multicarrier division duplexing for point-to-point communications. (2012) authored by Hlaing Minn. Dandan Wang et al.: A robust asynchronous multiuser STBC-OFDM transmission scheme for frequency-selective channels. (2008) authored by Hlaing Minn. Dandan Wang et al.: An Opportunistic STBC-OFDM Scheme with Reduced PAR in the Presence of Frequency Offset. (2007) authored by Hlaing Minn. Xiaoyu Fu and Hlaing Minn: Modified data-pilot-multiplexed schemes for OFDM systems. (2007) authored by Hlaing Minn. Hlaing Minn et al.: A reduced complexity channel estimation for OFDM systems with transmit diversity in mobile wireless channels. (2002) authored by Hlaing Minn. Poramate Tarasak et al.: Multistage receiver for differential space-time block codes. (2003) authored by Hlaing Minn. Qi Zhan and Hlaing Minn: New Integer Normalized Carrier Frequency Offset Estimators. (2015) authored by Hlaing Minn. Yahia R. Ramadan et al.: Hybrid Analog-Digital Precoding Design for Secrecy mmWave MISO-OFDM Systems. (2017) authored by Hlaing Minn. Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2004) authored by Hlaing Minn. Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2006) authored by Hlaing Minn. K. D. Prathapasinghe Dharmawansa et al.: An exact error probability analysis of OFDM systems with frequency offset. (2009) authored by Hlaing Minn. Hlaing Minn and Xiaoyu Fu: A new ranging method for OFDMA systems. (2005) authored by Hlaing Minn. Hlaing Minn and Vijay K. Bhargava: An investigation into time-domain approach for OFDM channel estimation. (2000) authored by Hlaing Minn. Xiaoyu Fu and Hlaing Minn: Initial uplink synchronization and power control (ranging process) for OFDMA systems. (2004) authored by Hlaing Minn He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for his contributions to synchronization and channel estimation in communication systems. \\\\n\\\\nThis article about an American electrical engineer is a stub\",\n \"plain\": \"Hlaing Minn is Author. Hlaing Minn modified 2023-10-18. Hlaing Minn citedByCount 4599. Hlaing Minn written paper amount in year2012: 10. Hlaing Minn written paper amount in year2012: 10. Hlaing Minn written paper amount in year2013: 4. Hlaing Minn written paper amount in year2013: 4. Hlaing Minn written paper amount in year2014: 3. Hlaing Minn written paper amount in year2014: 3. Hlaing Minn written paper amount in year2015: 6. Hlaing Minn written paper amount in year2015: 6. Hlaing Minn written paper amount in year2016: 6. Hlaing Minn written paper amount in year2016: 6. Hlaing Minn written paper amount in year2017: 14. Hlaing Minn written paper amount in year2017: 14. Hlaing Minn written paper amount in year2018: 8. Hlaing Minn written paper amount in year2018: 8. Hlaing Minn written paper amount in year2019: 8. Hlaing Minn written paper amount in year2019: 8. Hlaing Minn written paper amount in year2020: 2. Hlaing Minn written paper amount in year2020: 2. Hlaing Minn written paper amount in year2021: 3. Hlaing Minn written paper amount in year2021: 3. Hlaing Minn written paper amount in year2022: 0. Hlaing Minn written paper amount in year2022: 0. Hlaing Minn written paper amount in year2023: 3. Hlaing Minn written paper amount in year2023: 3. Hlaing Minn worksCount 182. Hlaing Minn name Hlaing Minn. Hlaing Minn member of The University of Texas at Dallas. Hlaing Minn h-index 32. Hlaing Minn 2YrMeanCitedness 0.60000002384185791016. Hlaing Minn alternativeName H. Minn. Hlaing Minn alternativeName Hlaing Minn. Hlaing Minn alternativeName Hliang Minn. Hlaing Minn i10Index 73. Hlaing Minn orcidId https://orcid.org/0000-0003-0774-569X. Hlaing Minn is Creator. Hlaing Minn is Person. Hlaing Minn link http://www.wikidata.org/entity/Q29341606. Hlaing Minn affiliation University of Texas at Dallas, USA. Hlaing Minn link http://www.utdallas.edu/~Hlaing.Minn/. Hlaing Minn primary affiliation University of Texas at Dallas, USA. Hlaing Minn link http://www.utdallas.edu/~Hlaing.Minn/. Hlaing Minn link https://en.wikipedia.org/wiki/Hlaing_Minn. Yinghui Li et al.: Frequency Offset Estimation for MB-OFDM-Based UWB Systems in Time-Variant Channels. (2007) authored by Hlaing Minn. Wenxun Qiu et al.: Enhanced Frequency Diversity Exploitation in Carrier Aggregation for LTE-Advanced Systems. (2011) authored by Hlaing Minn. P. Chaturanga Weeraddana et al.: Probability of Error Analysis of 4-QAM OFDM Systems with Random Residual Frequency Offset. (2008) authored by Hlaing Minn. Dandan Wang et al.: An Opportunistic STBC-OFDM Scheme with Reduced PAR in the Presence of Frequency Offset. (2007) authored by Hlaing Minn. Yinghui Li and Hlaing Minn: Consistent Pilot Designs for Frequency Offset Estimation in Mimo OFDM Systems. (2007) authored by Hlaing Minn. Amin Khansefid and Hlaing Minn: Asymptotically optimal power allocation for massive MIMO uplink. (2014) authored by Hlaing Minn. Amin Khansefid and Hlaing Minn: Performance bounds for massive MIMO uplink. (2014) authored by Hlaing Minn. Cristina Comaniciu et al.: A Game Theoretic Solution for Exploiting Multiuser Diversity in Cooperative Slotted Aloha. (2007) authored by Hlaing Minn. Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2004) authored by Hlaing Minn. Hlaing Minn et al.: Pilot Designs for Consistent Frequency Offset Estimation in OFDM Systems. (2006) authored by Hlaing Minn. Hlaing Minn et al.: A New Paradigm for Non-Geostationary Satellite Communications and Radio Astronomy System. (2018) authored by Hlaing Minn. Poramate Tarasak et al.: Multistage receiver for differential space-time block codes. (2003) authored by Hlaing Minn. Dandan Wang et al.: Opportunistic Cooperative ARQ Transmission Scheme in Cellular Networks. (2008) authored by Hlaing Minn. Hlaing Minn and Poramate Tarasak: Improved maximum likelihood frequency estimation based on likelihood metric design. (2005) authored by Hlaing Minn. Xiaoyu Fu et al.: Two Novel Iterative Joint Frequency-Offset and Channel Estimation Methods for OFDMA Uplink. (2006) authored by Hlaing Minn. Balkan Kecicioglu et al.: Spatial, spectral and temporal adaptation for fast fading MIMO-OFDMA systems. (2011) authored by Hlaing Minn. Poramate Tarasak et al.: Differential modulation for two-user cooperative diversity systems. (2004) authored by Hlaing Minn. Hlaing Minn and Naofal Al-Dhahir: Training signal design for MIMO OFDM channel estimation in the presence of frequency offsets. (2005) authored by Hlaing Minn. Pochun Yen et al.: PAPR reduction for bandwidth-aggregated OFDM and SC-FDMA systems. (2011) authored by Hlaing Minn. V. K. Varma Gottumukkala et al.: Reduced-Complexity Polynomial Expansion Approximation to MMSE-DFE. (2009) authored by Hlaing Minn. Daniel Munoz and Hlaing Minn: Pilot Designs with Guard Bands for Channel Estimation of MIMOOFDM Systems with Frequency-Dependent I/Q Imbalances. (2009) authored by Hlaing Minn. Yinghui Li et al.: Frequency Offset Estimation for MB-OFDM-based UWB Systems. (2006) authored by Hlaing Minn. Hlaing Minn et al.: Channel estimation assisted improved timing offset estimation. (2004) authored by Hlaing Minn. Hlaing Minn et al.: Optimal periodic training signal for frequency offset estimation in frequency selective fading channels. (2004) authored by Hlaing Minn. Ayon Quayum et al.: Non-Orthogonal Pilot Designs with Collision Detection Capability for Grant-Free Access. (2018) authored by Hlaing Minn. Xiaoyu Fu and Hlaing Minn: Initial uplink synchronization and power control (ranging process) for OFDMA systems. (2004) authored by Hlaing Minn. V. K. Varma Gottumukkala and Hlaing Minn: Optimal Pilot Power Allocation for OFDM Systems with Transmitter and Receiver IQ Imbalances. (2009) authored by Hlaing Minn. Hlaing Minn and Naofal Al-Dhahir: Optimal training signals for MIMO OFDM channel estimation. (2004) authored by Hlaing Minn. Yahia R. Ramadan et al.: Novel Pre-Compensation Schemes for Low-Cost Nonlinear Tera-Hertz Transmitters. (2018) authored by Hlaing Minn. Dong Han and Hlaing Minn: Performance Analysis of Distributed Radio Telescopes under Shared Spectrum Access Paradigm. (2017) authored by Hlaing Minn. Amin Khansefid et al.: Waveform Parameter Design and Comparisons for Millimeter-Wave Massive MIMO Systems with RF Distortions. (2016) authored by Hlaing Minn. Hlaing Minn and Daniel Munoz: Effect of I/Q Imbalance on Pilot Design for MIMO OFDM Channel Estimation. (2009) authored by Hlaing Minn. Yahia R. Ramadan and Hlaing Minn: Novel Hybrid Precoding Designs for mmWave Multiuser Systems with Partial Channel Knowledge. (2017) authored by Hlaing Minn. Qi Zhan et al.: A V2V communication system with enhanced multiplicity gain. (2013) authored by Hlaing Minn. Qi Zhan et al.: A Solution to Timing Mismatches between the In-Phase and Quadrature Branches of Millimeter-Wave Transmitter and Receiver. (2016) authored by Hlaing Minn. Yanxiang Jiang et al.: Training Aided Frequency Offset Estimation for MIMO OFDM Systems via Polynomial Rooting. (2008) authored by Hlaing Minn. Jianqiang Zeng et al.: Ranging Signal Designs for MIMO-OFDMA Systems. (2008) authored by Hlaing Minn. V. K. Varma Gottumukkala and Hlaing Minn: Pilot-data power allocation for OFDM systems with amplify and forward relays. (2014) authored by Hlaing Minn. Jiu Xiong et al.: An open-loop 28GHz 16-phase clock generator in 28nm CMOS. (2017) authored by Hlaing Minn. Naofal Al-Dhahir and Hlaing Minn: A new multicarrier transceiver based on the discrete cosine transform. (2005) authored by Hlaing Minn. Hlaing Minn and Daniel Munoz: Pilot designs for channel estimation of OFDM systems with frequency-dependent I/Q imbalances. (2009) authored by Hlaing Minn. Mahmoud E. Abdelgelil and Hlaing Minn: Non-Linear Interference Cancellation for Radio Astronomy Receivers with Strong RFI. (2017) authored by Hlaing Minn. Hlaing Minn et al.: A New Shared Spectrum Access Paradigm between Cellular Wireless Communications and Radio Astronomy. (2016) authored by Hlaing Minn. Jianqiang Zeng and Hlaing Minn: A Novel OFDMA Ranging Method Exploiting Multiuser Diversity. (2007) authored by Hlaing Minn. Yinghui Li and Hlaing Minn: Channel Estimation and Equalization in the Presence of Timing Offset in MB-OFDM Systems. (2007) authored by Hlaing Minn. Yanxin Na and Hlaing Minn: Line Search Based Iterative Joint Estimation of Channels and Frequency Offsets for Uplink OFDMA Systems. (2006) authored by Hlaing Minn. Baile Xie et al.: Interference Alignment under Training and Feedback Constraints. (2011) authored by Hlaing Minn. Zhixuan Fan et al.: Performance Analysis of Large-Scale NGSO Satellite-Based Radio Astronomy Systems. (2021) authored by Hlaing Minn. Dong Han and Hlaing Minn: Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes. (2019) authored by Hlaing Minn. Hlaing Minn and Chia-Chin Chong: User resource structure design with enhanced diversity for OFDMA in time-varying channels. (2009) authored by Hlaing Minn. Balachander Narasimhan et al.: Digital Baseband Compensation of I/Q Imbalance in Mobile OFDM. (2008) authored by Hlaing Minn. Di Wu et al.: Fast Complex Valued Matrix Inversion for Multi-User STBC-MIMO Decoding. (2007) authored by Hlaing Minn. Dandan Wang et al.: On modeling utility for cooperative slotted Aloha games. (2008) authored by Hlaing Minn. Balachander Narasimhan et al.: SFBC design tradeoffs for mobile SC-FDMA with application to LTE-advanced. (2010) authored by Hlaing Minn. Yanxiang Jiang et al.: MIMO OFDM Frequency Offset Estimator with Low Computational Complexity. (2007) authored by Hlaing Minn. Wenxun Qiu and Hlaing Minn: Orthogonal multicarrier division duplexing for point-to-point communications. (2012) authored by Hlaing Minn. Trent Jacobs et al.: Synchronization in MB-OFDM-based UWB Systems. (2007) authored by Hlaing Minn. Yucheng Dai et al.: A New Receiver Architecture for MIMO Beam-Forming Applications. (2017) authored by Hlaing Minn. Dong Han et al.: Network Dimensioning and Radio Resource Management for Multi-Tier Machine-Type Communications. (2017) authored by Hlaing Minn. Amin Khansefid et al.: Pilot Designs and Compensation Scheme for Severe RF Distortions in Millimeter-Wave Massive MIMO Systems. (2016) authored by Hlaing Minn. Hlaing Minn and Xiaoyu Fu: A new ranging method for OFDMA systems. (2005) authored by Hlaing Minn. Balachander Narasimhan et al.: Digital Baseband Compensation for Mobile SFBC-OFDM Systems with Receiver I/Q Imbalance. (2008) authored by Hlaing Minn. Poramate Tarasak and Hlaing Minn: Resource allocation for multipoint-to-multipoint orthogonal multicarrier division duplexing. (2012) authored by Hlaing Minn. Dandan Wang et al.: A Distributed Opportunistic Access Scheme for OFDMA Systems. (2006) authored by Hlaing Minn. Naofal Al-Dhahir et al.: Optimum DCT-Based Multicarrier Transceivers for Frequency-Selective Channels. (2006) authored by Hlaing Minn. Hlaing Minn and Daniel Munoz: Pilot Designs for Channel Estimation of MIMO OFDM Systems with Frequency-Dependent I/Q Imbalances. (2010) authored by Hlaing Minn. Wenxun Qiu et al.: An Efficient Diversity Exploitation in Multiuser Time-Varying Frequency-Selective Fading Channels. (2011) authored by Hlaing Minn. Wenxun Qiu et al.: Orthogonal Multicarrier Division Multiple Access for Multipoint-to-Multipoint Networks. (2013) authored by Hlaing Minn. Yahia R. Ramadan et al.: A New Paradigm for Spectrum Sharing Between Cellular Wireless Communications and Radio Astronomy Systems. (2017) authored by Hlaing Minn. Weile Zhang et al.: Scattered Pilots-Based Frequency Synchronization for Multiuser OFDM Systems With Large Number of Receive Antennas. (2017) authored by Hlaing Minn. Balachander Narasimhan et al.: Digital baseband compensation of joint TX/RX frequency-dependent I/Q imbalance in mobile MIMO-OFDM transceivers. (2009) authored by Hlaing Minn. Poramate Tarasak et al.: Improved approximate maximum-likelihood receiver for differential space-time block codes over Rayleigh-fading channels. (2004) authored by Hlaing Minn. Hlaing Minn et al.: On ARQ scheme with adaptive error control. (2001) authored by Hlaing Minn. Amin Khansefid and Hlaing Minn: On Channel Estimation for Massive MIMO With Pilot Contamination. (2015) authored by Hlaing Minn. Hlaing Minn et al.: On timing offset estimation for OFDM systems. (2000) authored by Hlaing Minn. Baile Xie et al.: A Reduced Overhead OFDM Relay System with Clusterwise TMRC Beamforming. (2012) authored by Hlaing Minn. Mohammed Belal Uddin and Hlaing Minn: Constellations of MEO Satellites and Their Observability as Telescopes. (2023) authored by Hlaing Minn. Yinghao Ge et al.: Angle-Domain Approach for Parameter Estimation in High-Mobility OFDM With Fully/Partly Calibrated Massive ULA. (2019) authored by Hlaing Minn. Yanxiang Jiang et al.: Frequency Offset Estimation and Training Sequence Design for MIMO OFDM. (2008) authored by Hlaing Minn. Yinghui Li et al.: An average Cramer-Rao bound for frequency offset estimation in frequency-selective fading channels. (2010) authored by Hlaing Minn. Dandan Wang et al.: A robust asynchronous multiuser STBC-OFDM transmission scheme for frequency-selective channels. (2008) authored by Hlaing Minn. Yahia R. Ramadan et al.: Precompensation and System Parameters Estimation for Low-Cost Nonlinear Tera-Hertz Transmitters in the Presence of I/Q Imbalance. (2018) authored by Hlaing Minn. Weile Zhang et al.: Algorithm and Performance Analysis for Frame Detection Based on Matched Filtering. (2020) authored by Hlaing Minn. Miad Faezipour et al.: A patient-adaptive profiling scheme for ECG beat classification. (2010) authored by Hlaing Minn. Ahmed M. Mohamed and Hlaing Minn: System Dynamics and Tradeoffs in Radio Astronomical Data Transport of an Integrated Satellite Communication and Radio Astronomy System. (2023) authored by Hlaing Minn. Yanxiang Jiang et al.: Simplified Frequency Offset Estimation for MIMO OFDM Systems. (2017) authored by Hlaing Minn. Baile Xie et al.: An Improved Approach for Real-time Detection of Sleep Apnea. (2011) authored by Hlaing Minn. Poramate Tarasak et al.: Linear prediction receiver for differential space-time block codes with spatial correlation. (2003) authored by Hlaing Minn. Shu Feng et al.: PIC-based iterative SDR detector for OFDM systems in doubly-selective fading channels. (2010) authored by Hlaing Minn. Yinghui Li et al.: Synchronization, Channel Estimation, and Equalization in MB-OFDM Systems. (2008) authored by Hlaing Minn. Hlaing Minn and Naofal Al-Dhahir: Optimal training signals for MIMO OFDM channel estimation. (2006) authored by Hlaing Minn. Hlaing Minn et al.: PAR-Constrained Training Signal Designs for MIMO OFDM Channel Estimation in the Presence of Frequency Offsets. (2008) authored by Hlaing Minn. Hlaing Minn et al.: In-Phase and Quadrature Timing Mismatch Estimation and Compensation in Millimeter-Wave Communication Systems. (2017) authored by Hlaing Minn. Yanxin Na and Hlaing Minn: Line search based iterative joint estimation of channels and frequency offsets for uplink OFDM systems. (2007) authored by Hlaing Minn. Wenxun Qiu et al.: Interference-Controlled Transmission Schemes for Cognitive Radio in Frequency-Selective Time-Varying Fading Channels. (2012) authored by Hlaing Minn. Pochun Yen et al.: Collaborative Multisystem Channelization. (2015) authored by Hlaing Minn. V. K. Varma Gottumukkala and Hlaing Minn: Capacity Analysis and Pilot-Data Power Allocation for MIMO-OFDM With Transmitter and Receiver IQ Imbalances and Residual Carrier Frequency Offset. (2012) authored by Hlaing Minn. Hlaing Minn and Daniel Munoz: Channel Knowledge Acquisition in Relay and Multipoint-to-Multipoint Transmission Systems. (2015) authored by Hlaing Minn. Yucheng Dai et al.: Impacts of Large-Scale NGSO Satellites: RFI and A New Paradigm for Satellite Communications and Radio Astronomy Systems. (2019) authored by Hlaing Minn. Xiaoyu Fu et al.: Two novel iterative joint frequency-offset and channel estimation methods for OFDMA uplink. (2008) authored by Hlaing Minn. Yinghui Li and Hlaing Minn: Robust and consistent pilot designs for frequency offset estimation in MIMO OFDM systems. (2008) authored by Hlaing Minn. Hlaing Minn et al.: Optimal Training Signals for MIMO OFDM Channel Estimation in the Presence of Frequency Offset and Phase Noise. (2006) authored by Hlaing Minn. Dandan Wang et al.: A distributed opportunistic access scheme and its application to OFDMA systems. (2009) authored by Hlaing Minn. Dong Han et al.: Network Dimensioning, QoE Maximization, and Power Control for Multi-Tier Machine-Type Communications. (2019) authored by Hlaing Minn. Balkan Kecicioglu et al.: Intra-Frame Transmission Adaptation for Fast Fading MIMO-OFDMA Systems. (2011) authored by Hlaing Minn. Yinghui Li et al.: Frequency offset estimation for MB-OFDM-based UWB systems. (2008) authored by Hlaing Minn. Hlaing Minn and Shaohui Xing: An optimal training signal structure for frequency-offset estimation. (2005) authored by Hlaing Minn. P. Chaturanga Weeraddana et al.: Probability of error analysis of BPSK OFDM systems with random residual frequency offset. (2009) authored by Hlaing Minn. Hao Xie and Hlaing Minn: Analysis of RFI From MEO Inter-Satellite Links to LEO Passive Sensors. (2024) authored by Hlaing Minn. Dong Han and Hlaing Minn: Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes. (2019) authored by Hlaing Minn. Chia-Chin Chong et al.: On the performance comparison of VSF-OFCDMA and OFDMA. (2008) authored by Hlaing Minn. Hlaing Minn and Vijay K. Bhargava: An investigation into time-domain approach for OFDM channel estimation. (2000) authored by Hlaing Minn. Hlaing Minn and Poramate Tarasak: Improved maximum likelihood frequency offset estimation based on likelihood metric design. (2006) authored by Hlaing Minn. V. K. Varma Gottumukkala and Hlaing Minn: Ergodic Capacity Analysis of MISO/SIMO-OFDM With Arbitrary Antenna and Channel Tap Correlation. (2013) authored by Hlaing Minn. Hlaing Minn et al.: An Efficient ARQ Protocol for Adaptive Error Control over Time-Varying Channels. (2001) authored by Hlaing Minn. Naofal Al-Dhahir et al.: Optimum DCT-based multicarrier transceivers for frequency-selective channels. (2006) authored by Hlaing Minn. Yahia R. Ramadan et al.: Hybrid Analog-Digital Precoding Design for Secrecy mmWave MISO-OFDM Systems. (2017) authored by Hlaing Minn. Baile Xie et al.: Adaptive Interference Alignment with CSI Uncertainty. (2013) authored by Hlaing Minn. Jianqiang Zeng and Hlaing Minn: A novel OFDMA ranging method exploiting multiuser diversity. (2010) authored by Hlaing Minn. Poramate Tarasak et al.: Differential modulation for two-user cooperative diversity systems. (2005) authored by Hlaing Minn. Ahmed M. Mohamed and Hlaing Minn: Low-Complexity Algorithm for Radio Astronomy Observation Data Transport in an Integrated NGSO Satellite Communication and Radio Astronomy System. (2021) authored by Hlaing Minn. Ayon Quayum and Hlaing Minn: Compressed Sensing Based Non-Orthogonal Pilot Designs for Multi-Antenna Grant-Free Access Systems. (2020) authored by Hlaing Minn. Xiaoyu Fu et al.: A new ranging method for OFDMA systems. (2007) authored by Hlaing Minn. Dong Han et al.: Modeling Ground-Air Wireless Connectivity: Continuous Connection Probability Analysis. (2021) authored by Hlaing Minn. Hlaing Minn and Amin Khansefid: Massive MIMO Systems in Noncontiguous Bands With Asymmetric Traffics. (2016) authored by Hlaing Minn. Dandan Wang et al.: A Game-Theoretic Approach for Exploiting Multiuser Diversity in Cooperative Slotted Aloha. (2008) authored by Hlaing Minn. Baile Xie et al.: Exact Signal Model and New Carrier Frequency Offset Compensation Scheme for OFDM. (2012) authored by Hlaing Minn. K. D. Prathapasinghe Dharmawansa et al.: An exact error probability analysis of OFDM systems with frequency offset. (2009) authored by Hlaing Minn. Amin Khansefid and Hlaing Minn: Achievable Downlink Rates of MRC and ZF Precoders in Massive MIMO With Uplink and Downlink Pilot Contamination. (2015) authored by Hlaing Minn. Yinghui Li et al.: Pilot Designs for Consistent Frequency-Offset Estimation in OFDM Systems. (2007) authored by Hlaing Minn. Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2006) authored by Hlaing Minn. Hlaing Minn et al.: Optimal periodic training signal for frequency offset estimation in frequency-selective fading channels. (2006) authored by Hlaing Minn. Hlaing Minn et al.: A reduced complexity channel estimation for OFDM systems with transmit diversity in mobile wireless channels. (2002) authored by Hlaing Minn. Yahia R. Ramadan et al.: Comments and Corrections to \\\"A New Paradigm for Spectrum Sharing Between Cellular Wireless Communications and Radio Astronomy Systems\\\". (2018) authored by Hlaing Minn. Majdi Bsoul et al.: Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG. (2011) authored by Hlaing Minn. Baile Xie and Hlaing Minn: Real-Time Sleep Apnea Detection by Classifier Combination. (2012) authored by Hlaing Minn. Baile Xie et al.: Adaptive Interference Alignment with CSI Uncertainty (2012) authored by Hlaing Minn. Qi Zhan and Hlaing Minn: New Integer Normalized Carrier Frequency Offset Estimators. (2015) authored by Hlaing Minn. Yanxiang Jiang et al.: Simplified Frequency Offset Estimation for MIMO OFDM Systems. (2008) authored by Hlaing Minn. Balachander Narasimhan et al.: Digital Compensation of Frequency-Dependent Joint Tx/Rx I/Q Imbalance in OFDM Systems Under High Mobility. (2009) authored by Hlaing Minn. Hlaing Minn et al.: A robust timing and frequency synchronization for OFDM systems. (2003) authored by Hlaing Minn. Xiaoyu Fu and Hlaing Minn: Modified data-pilot-multiplexed schemes for OFDM systems. (2007) authored by Hlaing Minn. Balachander Narasimhan et al.: Reduced-complexity baseband compensation of joint Tx/Rx I/Q imbalance in mobile MIMO-OFDM. (2010) authored by Hlaing Minn. Dandan Wang et al.: A Reduced-PAR Opportunistic STBC Scheme for Frequency-Selective Channels in the Presence of Frequency Offset. (2008) authored by Hlaing Minn. Yucheng Dai and Hlaing Minn: A Spectrum Sharing Paradigm for GSO Satellite System and Radio Astronomy System. (2019) authored by Hlaing Minn. Ayon Quayum et al.: Non-Orthogonal Pilot Designs for Joint Channel Estimation and Collision Detection in Grant-Free Access Systems. (2018) authored by Hlaing Minn. Mahmoud E. Abdelgelil and Hlaing Minn: RFI Cancellation for an Array Radio Astronomy System With Receiver Nonlinearity. (2019) authored by Hlaing Minn. Dong Han and Hlaing Minn: Performance Analysis of Distributed Auxiliary Radio Telescopes Under Shared Spectrum Access Paradigm and Cooling Power Constraint. (2017) authored by Hlaing Minn. Hlaing Minn and Zhixuan Fan: Sky Radio Quiet Zones for Mitigating RFI From Large-Scale NGSO Satellites to Ground Radio Astronomy System. (2023) authored by Hlaing Minn. Daniel Munoz et al.: An Adaptive MIMO-OFDMA Relay System. (2012) authored by Hlaing Minn. Pochun Yen et al.: New Fractional Frequency Reuse Patterns for Multi-Cell Systems in Time-Varying Channels. (2015) authored by Hlaing Minn. Yanxiang Jiang et al.: Frequency Offset Estimation and Training Sequence Design for MIMO OFDM. (2017) authored by Hlaing Minn. Hlaing Minn et al.: On the peak factors of sampled and continuous signals. (2001) authored by Hlaing Minn. Pochun Yen and Hlaing Minn: Low complexity PAPR reduction methods for carrier-aggregated MIMO OFDMA and SCFDMA systems. (2012) authored by Hlaing Minn. Yahia R. Ramadan and Hlaing Minn: Artificial Noise Aided Hybrid Precoding Design for Secure mmWave MISO Systems With Partial Channel Knowledge. (2017) authored by Hlaing Minn. Mahmoud E. Abdelgelil and Hlaing Minn: Impact of Nonlinear RFI and Countermeasure for Radio Astronomy Receivers. (2018) authored by Hlaing Minn{'author_wikipedia_text': 'Hlaing Minn is an electrical engineer at the University of Texas at Dallas in Richardson, Texas. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for his contributions to synchronization and channel estimation in communication systems.\\\\n\\\\nThis article about an American electrical engineer is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_on_all_triples\": \"Hlaing Minn has a written paper amount of 10 in year 2012.\\nHlaing Minn has a written paper amount of 4 in 2013.\\nHlaing Minn has a written paper amount of 3 in 2014.\\nHlaing Minn has a written paper amount of 6 in 2015.\\nHlaing Minn has a written paper amount of 6 in year 2016.\\nHlaing Minn has a written paper amount of 14 in year 2017.\\nHlaing Minn has a written paper amount of 8 in year 2018.\\nHlaing Minn has a written paper amount of 8 in year 2019.\\nHlaing Minn has a written paper amount of 2 in year2020.\\nHlaing Minn has a written paper amount of 3 in year2021.\\nHlaing Minn has a written paper amount of 0 in year2022.\\nHlaing Minn has a written paper amount of 3 in year2023.\\nHlaing Minn has a 2YrMeanCitedness of 0.60000002384185791016.\\nHlaing Minn is affiliated with the University of Texas at Dallas, USA.\\nHlaing Minn is the alternative name for Hlaing Minn and Hliang Minn.\\n\\\"Naofal Al-Dhahir and Hlaing Minn: A new multicarrier transceiver based on the discrete cosine transform. (2005), Dandan Wang et al.: Opportunistic Cooperative ARQ Transmission Scheme in Cellular Networks. (2008), Poramate Tarasak et al.: Differential modulation for two-user cooperative diversity systems. (2004), Balachander Narasimhan et al.: Reduced-complex\\nHlaing Minn has a ByCount of 4599.\\nHlaing Minn has a h-index of 32.\\nHlaing Minn has an i10Index of 73.\\nHlaing Minn is the creator and the author of Hlaing Minn.\\nHlaing Minn is located at http://www.utdallas.edu/<unk>Hlaing.Minn and is linked to https://en.wikipedia.org/wiki/Hlaing_Minn and http://www.wikidata.org/entity/Q29341606.\\nHlaing Minn is a member of The University of Texas at Dallas.\\nHlaing Minn was modified on 2023-10-18.\\nThe name of Hlaing Minn is Hlaing Minn.\\nHlaing Minn has orcidId https://orcid.org/0000-0003-0774-569X.\\nHlaing Minn's primary affiliation is the University of Texas at Dallas, USA.\\nHlaing Minn has 182 works count.{'author_wikipedia_text': 'Hlaing Minn is an electrical engineer at the University of Texas at Dallas in Richardson, Texas. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for his contributions to synchronization and channel estimation in communication systems.\\\\n\\\\nThis article about an American electrical engineer is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Naofal Al-Dhahir and Hlaing Minn: A new multicarrier transceiver based on the discrete cosine transform. (2005), Naofal Al-Dhahir et al.: Optimum DCT-based multicarrier transceivers for frequency-selective channels. (2006), Hlaing Minn et al.: A combined timing and frequency synchronization and channel estimation for OFDM. (2004), Dandan Wang e He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for his contributions to synchronization and channel estimation in communication systems. \\\\n\\\\nThis article about an American electrical engineer is a stub\"\n}"}}},{"rowIdx":77,"cells":{"id":{"kind":"string","value":"4f8e3f65-ceb9-42cf-80a8-de6429faf9d0"},"triples_number":{"kind":"number","value":177,"string":"177"},"question":{"kind":"string","value":"The author who collaborated with Marc Levoy on Zippered polygon meshes from range images, what is their hIndex?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"1.9166666269302368164\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"Georgia Institute of Technology, Atlanta, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"G Türk\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Greg Turk\"\n },\n {\n \"object\": \"G. 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(2004)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Joanne Taery Kim et al.: Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paula Sweeney et al.: Modelling physical objects for simulation. (1991)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher Wojtan et al.: Animating Corrosion and Erosion. (2007)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Joanne Taery Kim et al.: How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zackory Erickson et al.: What does the person feel? Learning to infer applied forces during robot-assisted dressing. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Lindstrom and Greg Turk: Fast and memory efficient polygonal simplification. (1998)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fakir S. Nooruddin and Greg Turk: Interior/exterior classification of polygonal models. (2000)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eugene Zhang and Greg Turk: Visibility-Guided Simplification. (2002)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jonathan D. Cohen et al.: Simplification Envelopes. (1996)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk: Texture synthesis on surfaces. (2001)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk and James F. O'Brien: Modelling with implicit surfaces that interpolate. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zackory Erickson et al.: Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing. (2019)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yanzhe Zhang et al.: Auditing Gender Presentation Differences in Text-to-Image Models. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zackory Erickson et al.: Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. (2021)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenhao Yu et al.: Preparing for the Unknown: Learning a Universal Policy with Online System Identification. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Li-Yi Wei et al.: State of the Art in Example-based Texture Synthesis. (2009)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher F. Codella et al.: Interactive simulation in a multi-person virtual world. (1992)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenhao Yu et al.: Haptic simulation for robot-assisted dressing. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Delphine Nain et al.: Vessel Segmentation Using a Shape Driven Flow. (2004)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"David J. Stahl Jr. et al.: Bag-of-Particles as a Deformable Model. (2002)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Henry Fuchs et al.: Pixel-planes 5: a heterogeneous multiprocessor graphics system using processor-enhanced memories. (1989)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk: Generating textures on arbitrary surfaces using reaction-diffusion. (1991)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk and David Banks: Image-Guided Streamline Placement. (1996)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk and Marc Levoy: Zippered polygon meshes from range images. (1994)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk and James F. O'Brien: Shape transformation using variational implicit functions. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaeil Choi et al.: Element-Free Elastic Models for Volume Fitting and Capture. (2006)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenhao Yu et al.: Sim-to-Real Transfer for Biped Locomotion. (2019)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mingxuan Sun et al.: Color matching and illumination estimation for urban scenes. (2009)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenhao Yu et al.: Preparing for the Unknown: Learning a Universal Policy with Online System Identification. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Huong Quynh Dinh et al.: Reconstructing Surfaces Using Anisotropic Basis Functions. (2001)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Huong Quynh Dinh et al.: Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions. (2002)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"R. Brooks Van Horn III and Greg Turk: Antialiasing Procedural Shaders with Reduction Maps. (2008)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nipun Kwatra et al.: Fluid Simulation with Articulated Bodies. (2010)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Lindstrom and Greg Turk: Evaluation of Memoryless Simplification. (1999)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fakir S. Nooruddin and Greg Turk: Simplification and Repair of Polygonal Models Using Volumetric Techniques. (2003)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gary D. Yngve and Greg Turk: Robust Creation of Implicit Surfaces from Polygonal Meshes. (2002)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Howard Zhou et al.: Terrain Synthesis from Digital Elevation Models. (2007)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jiajian Chen et al.: Painterly rendering with coherence for augmented reality. (2010)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jiajian Chen et al.: A non-photorealistic rendering framework with temporal coherence for augmented reality. (2012)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jack Goldfeather et al.: Near real-time CSG rendering using tree normalization and geometric pruning. 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(2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shiqiu Liu et al.: Computer Simulations Imply Forelimb-Dominated Underwater Flight in Plesiosaurs. (2015)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Clegg et al.: Learning to Collaborate From Simulation for Robot-Assisted Dressing. (2020)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Adam W. Bargteil et al.: A finite element method for animating large viscoplastic flow. (2007)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mark Carlson et al.: Rigid fluid: animating the interplay between rigid bodies and fluid. (2004)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Clegg et al.: Animating human dressing. 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(2014)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk and James F. O'Brien: Modelling with implicit surfaces that interpolate. (2002)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Huamin Wang et al.: Water drops on surfaces. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher Wojtan and Greg Turk: Fast viscoelastic behavior with thin features. (2008)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wenhao Yu et al.: Learning symmetric and low-energy locomotion. (2018)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eugene Zhang et al.: Feature-based surface parameterization and texture mapping. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yunbo Zhang et al.: Learning to manipulate amorphous materials. (2020)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nicolas Ray et al.: Material Space Texturing. (2009)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Greg Turk: Computer Graphics Education. (1984)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yunbo Zhang et al.: Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Clegg et al.: Modeling Collaboration for Robot-assisted Dressing Tasks. (2019)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Clegg et al.: Learning to Navigate Cloth using Haptics. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Henry M. Clever et al.: Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data. (2020)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yunbo Zhang et al.: Simulation and Retargeting of Complex Multi-Character Interactions. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Henry M. Clever et al.: BodyPressure - Inferring Body Pose and Contact Pressure From a Depth Image. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"V. Alan Norton et al.: Animation of fracture by physical modeling. (1991)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Holly E. Rushmeier et al.: Guest Editors' Introduction: Special Section on IEEE Visualization. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zackory Erickson et al.: Deep Haptic Model Predictive Control for Robot-Assisted Dressing. (2017)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fabio Muratore et al.: Robot Learning from Randomized Simulations: A Review. (2021)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yunbo Zhang et al.: Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Bucksch et al.: The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion (2013)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zackory Erickson et al.: Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. (2023)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ariel Kapusta et al.: Personalized collaborative plans for robot-assisted dressing via optimization and simulation. (2019)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Byungmoon Kim et al.: A Shadow-Volume Algorithm for Opaque and Transparent Nonmanifold Casters. (2008)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Huong Quynh Dinh et al.: Texture transfer during shape transformation. (2005)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jie Tan et al.: Articulated swimming creatures. (2011)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jie Tan et al.: Soft body locomotion. (2012)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nils Thürey et al.: A multiscale approach to mesh-based surface tension flows. (2010)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Huamin Wang et al.: Physically guided liquid surface modeling from videos. (2009)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher Wojtan et al.: Deforming meshes that split and merge. (2009)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher Wojtan et al.: Physics-inspired topology changes for thin fluid features. (2010)\"\n },\n {\n \"object\": \"Greg Turk\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jihun Yu and Greg Turk: Reconstructing surfaces of particle-based fluids using anisotropic kernels. 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(1994) authored by Greg Turk. Greg Turk: Re-tiling polygonal surfaces. (1992) authored by Greg Turk. Nicolas Ray et al.: Material Space Texturing. (2009) authored by Greg Turk. Greg Turk: Part II: texturing surfaces and geometry creation. (2007) authored by Greg Turk. Howard Zhou et al.: Terrain Synthesis from Digital Elevation Models. (2007) authored by Greg Turk. Fakir S. Nooruddin and Greg Turk: Interior/exterior classification of polygonal models. (2000) authored by Greg Turk. Pravin Bhat et al.: Geometric Texture Synthesis by Example. (2004) authored by Greg Turk. Greg Turk: Texture synthesis on surfaces. (2001) authored by Greg Turk. Gary D. Yngve and Greg Turk: Robust Creation of Implicit Surfaces from Polygonal Meshes. (2002) authored by Greg Turk. Christopher Wojtan et al.: Deforming meshes that split and merge. (2009) authored by Greg Turk. Alexander Clegg et al.: Animating human dressing. (2015) authored by Greg Turk. John Rhoades et al.: Real-Time Procedural Textures. (1992) authored by Greg Turk. Jie Tan et al.: Articulated swimming creatures. (2011) authored by Greg Turk. Greg Turk et al.: Implicit Surfaces that Interpolate. (2001) authored by Greg Turk. Fakir S. Nooruddin and Greg Turk: Simplification and Repair of Polygonal Models Using Volumetric Techniques. (2003) authored by Greg Turk. Florian Hecht et al.: Virtual Rheoscopic Fluids. (2010) authored by Greg Turk. Huong Quynh Dinh et al.: Reconstructing Surfaces Using Anisotropic Basis Functions. (2001) authored by Greg Turk His paper \\\"Zippered polygon meshes from range images\\\", concerning the reconstruction of surfaces from point data, brought the \\\"Stanford bunny\\\", a frequently used example object in computer graphics research, into the CGI lexicon. Using the methods that Marc and I [had] developed, I aligned a collection of ten such range scans to one another and merged them into a single polygonal mesh. He is also known for his work on simplification of surfaces, and on reaction–diffusion-based texture synthesis. {'author_wikipedia_text': 'Greg Turk is an American-born researcher in the field of computer graphics and a professor[ambiguous] at the School of Interactive Computing in the College of Computing at the Georgia Institute of Technology (Georgia Tech). \\\\nCitations taken from his Google Scholar Profile (May 2014). In 2008, Turk was the technical papers chair of SIGGRAPH 2008. Had I known how popular the digital model would become, I would have bought many! I brought this clay bunny back to the Stanford Graphics Lab and scanned it from several directions. \\\\nIt was while at Stanford that he first brought the \\\"Stanford bunny\\\" back to the lab for scanning, which he recounts in a \\\"had I but known\\\" fashion:\\\\n\\\"One day, close to \",\n \"plain\": \"Greg Turk is Author. Greg Turk modified 2023-10-18. Greg Turk citedByCount 11434. Greg Turk written paper amount in year2012: 5. Greg Turk written paper amount in year2012: 5. Greg Turk written paper amount in year2013: 3. Greg Turk written paper amount in year2013: 3. Greg Turk written paper amount in year2014: 4. Greg Turk written paper amount in year2014: 4. Greg Turk written paper amount in year2015: 3. Greg Turk written paper amount in year2015: 3. Greg Turk written paper amount in year2016: 1. Greg Turk written paper amount in year2016: 1. Greg Turk written paper amount in year2017: 10. Greg Turk written paper amount in year2017: 10. Greg Turk written paper amount in year2018: 5. Greg Turk written paper amount in year2018: 5. Greg Turk written paper amount in year2019: 12. Greg Turk written paper amount in year2019: 12. Greg Turk written paper amount in year2020: 6. Greg Turk written paper amount in year2020: 6. Greg Turk written paper amount in year2021: 6. Greg Turk written paper amount in year2021: 6. Greg Turk written paper amount in year2022: 1. Greg Turk written paper amount in year2022: 1. Greg Turk written paper amount in year2023: 11. Greg Turk written paper amount in year2023: 11. Greg Turk worksCount 197. Greg Turk name Greg Turk. Greg Turk member of University of North Carolina at Chapel Hill. Greg Turk h-index 51. Greg Turk 2YrMeanCitedness 1.9166666269302368164. Greg Turk alternativeName G Türk. Greg Turk alternativeName G. Turk. Greg Turk alternativeName G.W. Turk. Greg Turk alternativeName Greg Turk. Greg Turk alternativeName Turk Greg. Greg Turk i10Index 97. Greg Turk orcidId https://orcid.org/0000-0002-3419-6369. Greg Turk is Creator. Greg Turk is Person. Greg Turk link http://www.wikidata.org/entity/Q5606369. Greg Turk affiliation Georgia Institute of Technology, Atlanta, USA. Greg Turk link http://www-static.cc.gatech.edu/~turk/. Greg Turk primary affiliation Georgia Institute of Technology, Atlanta, USA. Greg Turk link http://www-static.cc.gatech.edu/~turk/. Greg Turk link https://mathgenealogy.org/id.php?id=78253. Greg Turk link https://scholar.google.com/citations?user=Q_4d9N0AAAAJ. Greg Turk link https://en.wikipedia.org/wiki/Greg_Turk. Greg Turk: Sticky Feet - Evolution in a Multi-Creature Physical Simulation. (2010) authored by Greg Turk. Yunbo Zhang et al.: Learning Novel Policies For Tasks. (2019) authored by Greg Turk. Wenhao Yu et al.: Protective Policy Transfer. (2021) authored by Greg Turk. Greg Turk et al.: Implicit Surfaces that Interpolate. (2001) authored by Greg Turk. Jiajian Chen et al.: Watercolor inspired non-photorealistic rendering for augmented reality. (2008) authored by Greg Turk. Yutaka Ohtake et al.: Multi-level partition of unity implicits. (2005) authored by Greg Turk. Jack Tumblin and Greg Turk: LCIS: A Boundary Hierarchy for Detail-Preserving Contrast Reduction. (1999) authored by Greg Turk. Greg Turk: Part II: texturing surfaces and geometry creation. (2007) authored by Greg Turk. Yunbo Zhang et al.: Simulation and Retargeting of Complex Multi-Character Interactions. (2023) authored by Greg Turk. John Rhoades et al.: Real-Time Procedural Textures. (1992) authored by Greg Turk. Ariel Kapusta et al.: Data-driven haptic perception for robot-assisted dressing. (2016) authored by Greg Turk. Henry M. Clever et al.: Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data. (2020) authored by Greg Turk. Mark Carlson et al.: Melting and flowing. (2002) authored by Greg Turk. Karthik Raveendran et al.: Controlling Liquids Using Meshes. (2012) authored by Greg Turk. Karthik Raveendran et al.: Hybrid Smoothed Particle Hydrodynamics. (2011) authored by Greg Turk. Huamin Wang et al.: Solving general shallow wave equations on surfaces. (2007) authored by Greg Turk. Christopher Wojtan et al.: Keyframe control of complex particle systems using the adjoint method. (2006) authored by Greg Turk. Jihun Yu and Greg Turk: Reconstructing Surfaces of Particle-Based Fluids Using Anisotropic Kernels. (2010) authored by Greg Turk. Zackory Erickson et al.: Deep Haptic Model Predictive Control for Robot-Assisted Dressing. (2018) authored by Greg Turk. Greg Turk: Re-tiling polygonal surfaces. (1992) authored by Greg Turk. Greg Turk and James F. O'Brien: Shape Transformation Using Variational Implicit Functions. (1999) authored by Greg Turk. Eugene Zhang et al.: Interactive design and visualization of tensor fields on surfaces. (2005) authored by Greg Turk. Pravin Bhat et al.: Geometric Texture Synthesis by Example. (2004) authored by Greg Turk. Joanne Taery Kim et al.: Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. (2023) authored by Greg Turk. Paula Sweeney et al.: Modelling physical objects for simulation. (1991) authored by Greg Turk. Christopher Wojtan et al.: Animating Corrosion and Erosion. (2007) authored by Greg Turk. Joanne Taery Kim et al.: How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. (2023) authored by Greg Turk. Zackory Erickson et al.: What does the person feel? Learning to infer applied forces during robot-assisted dressing. (2017) authored by Greg Turk. Greg Turk et al.: 14th IEEE Visualization Conference, IEEE Vis 2003, Seattle, WA, USA, October 19-24, 2003, Proceedings (2003) edited by Greg Turk. Peter Lindstrom and Greg Turk: Fast and memory efficient polygonal simplification. (1998) authored by Greg Turk. Fakir S. Nooruddin and Greg Turk: Interior/exterior classification of polygonal models. (2000) authored by Greg Turk. Eugene Zhang and Greg Turk: Visibility-Guided Simplification. (2002) authored by Greg Turk. Jonathan D. Cohen et al.: Simplification Envelopes. (1996) authored by Greg Turk. Greg Turk: Texture synthesis on surfaces. (2001) authored by Greg Turk. Greg Turk and James F. O'Brien: Modelling with implicit surfaces that interpolate. (2005) authored by Greg Turk. Zackory Erickson et al.: Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing. (2019) authored by Greg Turk. Yanzhe Zhang et al.: Auditing Gender Presentation Differences in Text-to-Image Models. (2023) authored by Greg Turk. Zackory Erickson et al.: Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. (2021) authored by Greg Turk. Wenhao Yu et al.: Preparing for the Unknown: Learning a Universal Policy with Online System Identification. (2017) authored by Greg Turk. Li-Yi Wei et al.: State of the Art in Example-based Texture Synthesis. (2009) authored by Greg Turk. Christopher F. Codella et al.: Interactive simulation in a multi-person virtual world. (1992) authored by Greg Turk. Wenhao Yu et al.: Haptic simulation for robot-assisted dressing. (2017) authored by Greg Turk. Delphine Nain et al.: Vessel Segmentation Using a Shape Driven Flow. (2004) authored by Greg Turk. David J. Stahl Jr. et al.: Bag-of-Particles as a Deformable Model. (2002) authored by Greg Turk. Henry Fuchs et al.: Pixel-planes 5: a heterogeneous multiprocessor graphics system using processor-enhanced memories. (1989) authored by Greg Turk. Greg Turk: Generating textures on arbitrary surfaces using reaction-diffusion. (1991) authored by Greg Turk. Greg Turk and David Banks: Image-Guided Streamline Placement. (1996) authored by Greg Turk. Greg Turk and Marc Levoy: Zippered polygon meshes from range images. (1994) authored by Greg Turk. Greg Turk and James F. O'Brien: Shape transformation using variational implicit functions. (2005) authored by Greg Turk. Jaeil Choi et al.: Element-Free Elastic Models for Volume Fitting and Capture. (2006) authored by Greg Turk. Wenhao Yu et al.: Sim-to-Real Transfer for Biped Locomotion. (2019) authored by Greg Turk. Mingxuan Sun et al.: Color matching and illumination estimation for urban scenes. (2009) authored by Greg Turk. Wenhao Yu et al.: Preparing for the Unknown: Learning a Universal Policy with Online System Identification. (2017) authored by Greg Turk. Huong Quynh Dinh et al.: Reconstructing Surfaces Using Anisotropic Basis Functions. (2001) authored by Greg Turk. Huong Quynh Dinh et al.: Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions. (2002) authored by Greg Turk. R. Brooks Van Horn III and Greg Turk: Antialiasing Procedural Shaders with Reduction Maps. (2008) authored by Greg Turk. Nipun Kwatra et al.: Fluid Simulation with Articulated Bodies. (2010) authored by Greg Turk. Peter Lindstrom and Greg Turk: Evaluation of Memoryless Simplification. (1999) authored by Greg Turk. Fakir S. Nooruddin and Greg Turk: Simplification and Repair of Polygonal Models Using Volumetric Techniques. (2003) authored by Greg Turk. Gary D. Yngve and Greg Turk: Robust Creation of Implicit Surfaces from Polygonal Meshes. (2002) authored by Greg Turk. Howard Zhou et al.: Terrain Synthesis from Digital Elevation Models. (2007) authored by Greg Turk. Jiajian Chen et al.: Painterly rendering with coherence for augmented reality. (2010) authored by Greg Turk. Jiajian Chen et al.: A non-photorealistic rendering framework with temporal coherence for augmented reality. (2012) authored by Greg Turk. Jack Goldfeather et al.: Near real-time CSG rendering using tree normalization and geometric pruning. (1989) authored by Greg Turk. Jie Tan et al.: Stable Proportional-Derivative Controllers. (2011) authored by Greg Turk. Fabio Muratore et al.: Robot Learning From Randomized Simulations: A Review. (2022) authored by Greg Turk. Florian Hecht et al.: Virtual Rheoscopic Fluids. (2010) authored by Greg Turk. Jarke J. van Wijk et al.: Guest Editor's Introduction: Special Section on IEEE Visualization. (2004) authored by Greg Turk. Eugene Zhang et al.: Interactive Tensor Field Design and Visualization on Surfaces. (2007) authored by Greg Turk. Jihun Yu et al.: Explicit Mesh Surfaces for Particle Based Fluids. (2012) authored by Greg Turk. Yue Yang et al.: Annotated Hands for Generative Models. (2024) authored by Greg Turk. Zackory Erickson et al.: Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing. (2019) authored by Greg Turk. Wenhao Yu et al.: Protective Policy Transfer. (2020) authored by Greg Turk. Wenhao Yu et al.: Policy Transfer with Strategy Optimization. (2019) authored by Greg Turk. Alexander Clegg et al.: Learning to navigate cloth using haptics. (2017) authored by Greg Turk. Shiqiu Liu et al.: Computer Simulations Imply Forelimb-Dominated Underwater Flight in Plesiosaurs. (2015) authored by Greg Turk. Alexander Clegg et al.: Learning to Collaborate From Simulation for Robot-Assisted Dressing. (2020) authored by Greg Turk. Adam W. Bargteil et al.: A finite element method for animating large viscoplastic flow. (2007) authored by Greg Turk. Mark Carlson et al.: Rigid fluid: animating the interplay between rigid bodies and fluid. (2004) authored by Greg Turk. Alexander Clegg et al.: Animating human dressing. (2015) authored by Greg Turk. Alexander Clegg et al.: Learning to dress: synthesizing human dressing motion via deep reinforcement learning. (2018) authored by Greg Turk. Vivek Kwatra et al.: Graphcut textures: image and video synthesis using graph cuts. (2003) authored by Greg Turk. Peter Lindstrom and Greg Turk: Image-driven simplification. (2000) authored by Greg Turk. Yutaka Ohtake et al.: Multi-level partition of unity implicits. (2003) authored by Greg Turk. Karthik Raveendran et al.: Blending liquids. (2014) authored by Greg Turk. Jie Tan et al.: Learning bicycle stunts. (2014) authored by Greg Turk. Greg Turk and James F. O'Brien: Modelling with implicit surfaces that interpolate. (2002) authored by Greg Turk. Huamin Wang et al.: Water drops on surfaces. (2005) authored by Greg Turk. Christopher Wojtan and Greg Turk: Fast viscoelastic behavior with thin features. (2008) authored by Greg Turk. Wenhao Yu et al.: Learning symmetric and low-energy locomotion. (2018) authored by Greg Turk. Eugene Zhang et al.: Feature-based surface parameterization and texture mapping. (2005) authored by Greg Turk. Yunbo Zhang et al.: Learning to manipulate amorphous materials. (2020) authored by Greg Turk. Nicolas Ray et al.: Material Space Texturing. (2009) authored by Greg Turk. Greg Turk: Computer Graphics Education. (1984) authored by Greg Turk. Yunbo Zhang et al.: Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. (2023) authored by Greg Turk. Alexander Clegg et al.: Modeling Collaboration for Robot-assisted Dressing Tasks. (2019) authored by Greg Turk. Alexander Clegg et al.: Learning to Navigate Cloth using Haptics. (2017) authored by Greg Turk. Henry M. Clever et al.: Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data. (2020) authored by Greg Turk. Yunbo Zhang et al.: Simulation and Retargeting of Complex Multi-Character Interactions. (2023) authored by Greg Turk. Henry M. Clever et al.: BodyPressure - Inferring Body Pose and Contact Pressure From a Depth Image. (2023) authored by Greg Turk. V. Alan Norton et al.: Animation of fracture by physical modeling. (1991) authored by Greg Turk. Holly E. Rushmeier et al.: Guest Editors' Introduction: Special Section on IEEE Visualization. (2005) authored by Greg Turk. Zackory Erickson et al.: Deep Haptic Model Predictive Control for Robot-Assisted Dressing. (2017) authored by Greg Turk. Fabio Muratore et al.: Robot Learning from Randomized Simulations: A Review. (2021) authored by Greg Turk. Yunbo Zhang et al.: Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. (2023) authored by Greg Turk. Alexander Bucksch et al.: The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion (2013) authored by Greg Turk. Zackory Erickson et al.: Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. (2023) authored by Greg Turk. Ariel Kapusta et al.: Personalized collaborative plans for robot-assisted dressing via optimization and simulation. (2019) authored by Greg Turk. Byungmoon Kim et al.: A Shadow-Volume Algorithm for Opaque and Transparent Nonmanifold Casters. (2008) authored by Greg Turk. Huong Quynh Dinh et al.: Texture transfer during shape transformation. (2005) authored by Greg Turk. Jie Tan et al.: Articulated swimming creatures. (2011) authored by Greg Turk. Jie Tan et al.: Soft body locomotion. (2012) authored by Greg Turk. Nils Thürey et al.: A multiscale approach to mesh-based surface tension flows. (2010) authored by Greg Turk. Huamin Wang et al.: Physically guided liquid surface modeling from videos. (2009) authored by Greg Turk. Christopher Wojtan et al.: Deforming meshes that split and merge. (2009) authored by Greg Turk. Christopher Wojtan et al.: Physics-inspired topology changes for thin fluid features. (2010) authored by Greg Turk. Jihun Yu and Greg Turk: Reconstructing surfaces of particle-based fluids using anisotropic kernels. (2013) authored by Greg Turk. Eugene Zhang et al.: Vector field design on surfaces. (2006) authored by Greg Turk. Yunbo Zhang et al.: Learning to Manipulate Amorphous Materials. (2021) authored by Greg Turk. Wenhao Yu et al.: Sim-to-Real Transfer for Biped Locomotion. (2019) authored by Greg Turk. Wenhao Yu et al.: Multi-task Learning with Gradient Guided Policy Specialization. (2017) authored by Greg Turk. Wenhao Yu et al.: Learning Symmetry and Low-energy Locomotion. (2018) authored by Greg Turk. Henry M. Clever et al.: BodyPressure - Inferring Body Pose and Contact Pressure from a Depth Image. (2021) authored by Greg Turk. Alexander Clegg et al.: Learning Human Behaviors for Robot-Assisted Dressing. (2017) authored by Greg Turk. Joanne Taery Kim et al.: Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. (2023) authored by Greg Turk. Wenhao Yu et al.: Policy Transfer with Strategy Optimization. (2018) authored by Greg Turk. Greg Turk and James F. O'Brien: Shape Transformation Using Variational Implicit Functions. (2023) authored by Greg Turk. Yunbo Zhang et al.: Learning Novel Policies For Tasks. (2019) authored by Greg Turk{'author_wikipedia_text': 'Greg Turk is an American-born researcher in the field of computer graphics and a professor[ambiguous] at the School of Interactive Computing in the College of Computing at the Georgia Institute of Technology (Georgia Tech). His paper \\\"Zippered polygon meshes from range images\\\", concerning the reconstruction of surfaces from point data, brought the \\\"Stanford bunny\\\", a frequently used example object in computer graphics research, into the CGI lexicon. Turk actually purchased the original Stanford Bunny and performed the initial scans on it. He is also known for his work on simplification of surfaces, and on reaction–diffusion-based texture synthesis. In 2008, Turk was the technical papers chair of SIGGRAPH 2008. In 2012, Greg Turk was awarded the ACM Computer Graphics Achievement Award 2012.\\\\nAfter receiving his Ph.D. from the University of North Carolina at Chapel Hill under the supervision of Henry Fuchs in 1992, Turk was a postdoctoral researcher at Stanford University from 1992 to 1994 with Marc Levoy before he returned to UNC-Chapel Hill as a research professor from 1994 to 1996. He joined the Georgia Tech faculty in 1996. The following year, Turk was awarded an NSF CAREER Award, one of the most prestigious awards granted by the NSF to new faculty.\\\\nIt was while at Stanford that he first brought the \\\"Stanford bunny\\\" back to the lab for scanning, which he recounts in a \\\"had I but known\\\" fashion:\\\\n\\\"One day, close to . . . Easter . . . I was out shopping on University Avenue near the Stanford campus. . . . . On one of the shelves of [a] store was a large collection of clay bunny rabbits, all identical. I had range scanning on my mind, and these bunnies looked to be about the right shape and size for our . . . project. Even better, these bunnies were made of terra cotta (red clay), so they were red and diffuse. I bought one of these bunnies. Had I known how popular the digital model would become, I would have bought many! I brought this clay bunny back to the Stanford Graphics Lab and scanned it from several directions. Using the methods that Marc and I [had] developed, I aligned a collection of ten such range scans to one another and merged them into a single polygonal mesh. The resulting model has come to be known as the Stanford Bunny. The original bunny still lives at Stanford.\\\"Turk was born in 1961, and grew up in Southern California. He attended Santa Monica High School in the 1970s, where he was a member of the nonmusical group \\\"The Olive Starlight Orchestra\\\", along with David Linden, Keith Goldfarb, David Coons, Susan P. Crawford, Eric Enderton and Jan Steckel. He did his undergraduate work at UCLA.\\\\nA guitarist in a short-lived band while he attended UCLA, Turk performed with the group as \\\"Industrial Waist\\\", which also had Jack Watt (on drums; formerly Jackie Watt before he transitioned), the mathematician and teacher Paul Lockhart (lead vocals, guitar; Lockhart later became known for writing the internet sensation, and later book, A Mathematician\\\\'s Lament), the Rhythm and Hues Studios co-founder Keith Goldfarb (bass guitar player), and Alex Melnick (the band\\\\'s original drummer). Turk and Lockhart were roommates in Santa Monica for a couple of years while they attended UCLA.\\\\nTurk lives in Atlanta.\\\\nCitations taken from his Google Scholar Profile (May 2014).'}\",\n \"verbalizer_on_all_triples\": \"Greg Turk wrote 5 papers in 2012.\\nGreg Turk wrote 3 papers in 2013.\\nGreg Turk wrote 4 papers in 2014.\\nGreg Turk wrote 3 papers in 2015.\\nGreg Turk's written paper amount in year 2016 is 1.00.\\nGreg Turk wrote 10 papers in 2017.\\nGreg Turk's written paper amount in year 2018 is 5 pages.\\nGreg Turk's written paper amount in year 2019 is 12 pages.\\nGreg Turk's written paper amount in year 2020 is 6.\\nGreg Turk's written paper amount in year2021 is 6.\\nGreg Turk's written paper amount in year2022 is 1.00.\\nGreg Turk's written paper amount in year2023 is 11.\\nGreg Turk's 2YrMeanCitedness is 1.9166666269302368164.\\nGreg Turk is affiliated with the Georgia Institute of Technology, Atlanta, USA.\\nThe alternative names for Greg Turk are G.W. Turk and G.Turk.\\n\\\"Huamin Wang et al.: Solving general shallow wave equations on surfaces. (2007), Christopher Wojtan et al.: Animating Corrosion and Erosion. (2007), Zackory Erickson et al.: Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. (2021), Peter Lindstrom and Greg Turk: Evaluation of Memoryless Simplification. (1999), Henry M. Clever et al\\nGreg Turk has cited ByCount of 11434.\\nGreg Turk et al.: 14th IEEE Visualization Conference, IEEE Vis 2003, Seattle, WA, USA, October 19-24, 2003, Proceedings (2003) was edited by Greg Turk.\\nGreg Turk has a h-index of 51.\\nGreg Turk's i10Index is 97.\\nGreg Turk is the creator and the author of the book.\\nGreg Turk's link is http://www.wikidata.org/entity/Q5606369. He also has links to https://www-static.cc.gatech.edu/<unk>turk/ and https://scholar.google.com/citations?user=Q_4d9N0AAAAJ. He also has links to https://mathgenealogy.org/id.php?id=78253 and https://en.wikipedia.org/wiki\\nGreg Turk is a member of the University of North Carolina at Chapel Hill.\\nGreg Turk was modified on 2023-10-18.\\nGreg Turk's name is Greg Turk.\\nGreg Turk's orcidId is https://orcid.org/0000-0002-3419-6369.\\nGreg Turk is affiliated with the Georgia Institute of Technology, Atlanta, USA.\\nGreg Turk has 197 works count.{'author_wikipedia_text': 'Greg Turk is an American-born researcher in the field of computer graphics and a professor[ambiguous] at the School of Interactive Computing in the College of Computing at the Georgia Institute of Technology (Georgia Tech). His paper \\\"Zippered polygon meshes from range images\\\", concerning the reconstruction of surfaces from point data, brought the \\\"Stanford bunny\\\", a frequently used example object in computer graphics research, into the CGI lexicon. Turk actually purchased the original Stanford Bunny and performed the initial scans on it. He is also known for his work on simplification of surfaces, and on reaction–diffusion-based texture synthesis. In 2008, Turk was the technical papers chair of SIGGRAPH 2008. In 2012, Greg Turk was awarded the ACM Computer Graphics Achievement Award 2012.\\\\nAfter receiving his Ph.D. from the University of North Carolina at Chapel Hill under the supervision of Henry Fuchs in 1992, Turk was a postdoctoral researcher at Stanford University from 1992 to 1994 with Marc Levoy before he returned to UNC-Chapel Hill as a research professor from 1994 to 1996. He joined the Georgia Tech faculty in 1996. The following year, Turk was awarded an NSF CAREER Award, one of the most prestigious awards granted by the NSF to new faculty.\\\\nIt was while at Stanford that he first brought the \\\"Stanford bunny\\\" back to the lab for scanning, which he recounts in a \\\"had I but known\\\" fashion:\\\\n\\\"One day, close to . . . Easter . . . I was out shopping on University Avenue near the Stanford campus. . . . . On one of the shelves of [a] store was a large collection of clay bunny rabbits, all identical. I had range scanning on my mind, and these bunnies looked to be about the right shape and size for our . . . project. Even better, these bunnies were made of terra cotta (red clay), so they were red and diffuse. I bought one of these bunnies. Had I known how popular the digital model would become, I would have bought many! I brought this clay bunny back to the Stanford Graphics Lab and scanned it from several directions. Using the methods that Marc and I [had] developed, I aligned a collection of ten such range scans to one another and merged them into a single polygonal mesh. The resulting model has come to be known as the Stanford Bunny. The original bunny still lives at Stanford.\\\"Turk was born in 1961, and grew up in Southern California. He attended Santa Monica High School in the 1970s, where he was a member of the nonmusical group \\\"The Olive Starlight Orchestra\\\", along with David Linden, Keith Goldfarb, David Coons, Susan P. Crawford, Eric Enderton and Jan Steckel. He did his undergraduate work at UCLA.\\\\nA guitarist in a short-lived band while he attended UCLA, Turk performed with the group as \\\"Industrial Waist\\\", which also had Jack Watt (on drums; formerly Jackie Watt before he transitioned), the mathematician and teacher Paul Lockhart (lead vocals, guitar; Lockhart later became known for writing the internet sensation, and later book, A Mathematician\\\\'s Lament), the Rhythm and Hues Studios co-founder Keith Goldfarb (bass guitar player), and Alex Melnick (the band\\\\'s original drummer). Turk and Lockhart were roommates in Santa Monica for a couple of years while they attended UCLA.\\\\nTurk lives in Atlanta.\\\\nCitations taken from his Google Scholar Profile (May 2014).'}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Howard Zhou et al.: Terrain Synthesis from Digital Elevation Models. (2007), Greg Turk: Re-tiling polygonal surfaces. (1992), Nicolas Ray et al.: Material Space Texturing. (2009), Greg Turk et al.: Implicit Surfaces that Interpolate. (2001), Huong Quynh Dinh et al.: Reconstructing Surfaces Using Anisotropic Basis Functions. (2001), Pravin Bhat His paper \\\"Zippered polygon meshes from range images\\\", concerning the reconstruction of surfaces from point data, brought the \\\"Stanford bunny\\\", a frequently used example object in computer graphics research, into the CGI lexicon. Using the methods that Marc and I [had] developed, I aligned a collection of ten such range scans to one another and merged them into a single polygonal mesh. He is also known for his work on simplification of surfaces, and on reaction–diffusion-based texture synthesis. {'author_wikipedia_text': 'Greg Turk is an American-born researcher in the field of computer graphics and a professor[ambiguous] at the School of Interactive Computing in the College of Computing at the Georgia Institute of Technology (Georgia Tech). \\\\nCitations taken from his Google Scholar Profile (May 2014). In 2008, Turk was the technical papers chair of SIGGRAPH 2008. Had I known how popular the digital model would become, I would have bought many! I brought this clay bunny back to the Stanford Graphics Lab and scanned it from several directions. \\\\nIt was while at Stanford that he first brought the \\\"Stanford bunny\\\" back to the lab for scanning, which he recounts in a \\\"had I but known\\\" fashion:\\\\n\\\"One day, close to \"\n}"}}},{"rowIdx":78,"cells":{"id":{"kind":"string","value":"823b06ff-e0ef-4f68-9a02-555d273f066a"},"triples_number":{"kind":"number","value":263,"string":"263"},"question":{"kind":"string","value":"What is the i10Index of the co-author from the University of Oxford and author of Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"1.6666666269302368164\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Stephen Muggleton\"\n },\n {\n \"object\": \"University of York, Department of Computer Science, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Stephen H. 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Muggleton: Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? (2019) authored by Stephen H. Muggleton. Stephen H. Muggleton and Céline Hocquette: Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning. (2019) authored by Stephen H. Muggleton. Stephen H. Muggleton and Changze Xu: Can ILP Learn Complete and Correct Game Strategies? (2011) authored by Stephen H. Muggleton. Céline Hocquette and Stephen H. Muggleton: How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (2018) authored by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 13, Machine Intelligence and Inductive Learning, Loch Lomond, UK, 1992 (1994) edited by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995] (1999) edited by Stephen H. Muggleton. Stephen H. Muggleton et al.: MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. (2013) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Top program construction and reduction for polynomial time Meta-Interpretive learning. (2021) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning. (2021) authored by Stephen H. Muggleton. Michael Bain and Stephen H. Muggleton: Learning optimal chess strategies. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton: Meta-Interpretive Learning: Achievements and Challenges (Invited Paper). (2017) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning. (2014) authored by Stephen H. Muggleton. Lun Ai et al.: Beneficial and Harmful Explanatory Machine Learning. (2020) authored by Stephen H. Muggleton. Lun Ai et al.: Beneficial and harmful explanatory machine learning. (2021) authored by Stephen H. Muggleton. Colin Farquhar et al.: Typed meta-interpretive learning for proof strategies. (2015) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Meta-Interpretive Learning as Metarule Specialisation. (2021) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Meta-interpretive learning as metarule specialisation. (2022) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. (2018) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Correction to: Meta-interpretive learning as metarule specialisation. (2022) authored by Stephen H. Muggleton. Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2023) authored by Stephen H. Muggleton. Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2022) authored by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993 (1995) edited by Stephen H. Muggleton. Andrew Cropper et al.: Meta-Interpretive Learning of Data Transformation Programs. (2015) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. (2009) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Meta-interpretive learning: application to grammatical inference. (2014) authored by Stephen H. Muggleton. Wang-Zhou Dai et al.: Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. (2017) authored by Stephen H. Muggleton His present work concentrates on the development of Meta-Interpretive Learning, a new form of Inductive Logic Programming which supports predicate invention and learning of recursive programs. \\\\nMuggleton's research interests are primarily in Artificial intelligence. \\\\nMuggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh\",\n \"plain\": \"Stephen Muggleton is Author. Stephen Muggleton modified 2023-10-18. Stephen Muggleton citedByCount 9113. Stephen Muggleton written paper amount in year2012: 11. Stephen Muggleton written paper amount in year2012: 11. Stephen Muggleton written paper amount in year2013: 5. Stephen Muggleton written paper amount in year2013: 5. Stephen Muggleton written paper amount in year2014: 13. Stephen Muggleton written paper amount in year2014: 13. Stephen Muggleton written paper amount in year2015: 11. Stephen Muggleton written paper amount in year2015: 11. Stephen Muggleton written paper amount in year2016: 4. Stephen Muggleton written paper amount in year2016: 4. Stephen Muggleton written paper amount in year2017: 3. Stephen Muggleton written paper amount in year2017: 3. Stephen Muggleton written paper amount in year2018: 6. Stephen Muggleton written paper amount in year2018: 6. Stephen Muggleton written paper amount in year2019: 9. Stephen Muggleton written paper amount in year2019: 9. Stephen Muggleton written paper amount in year2020: 7. Stephen Muggleton written paper amount in year2020: 7. Stephen Muggleton written paper amount in year2021: 11. Stephen Muggleton written paper amount in year2021: 11. Stephen Muggleton written paper amount in year2022: 5. Stephen Muggleton written paper amount in year2022: 5. Stephen Muggleton written paper amount in year2023: 3. Stephen Muggleton written paper amount in year2023: 3. Stephen Muggleton worksCount 284. Stephen Muggleton name Stephen Muggleton. Stephen Muggleton member of Imperial College London. Stephen Muggleton h-index 39. Stephen Muggleton 2YrMeanCitedness 1.6666666269302368164. Stephen Muggleton alternativeName S. H. Muggleton. Stephen Muggleton alternativeName S. Muggleton. Stephen Muggleton alternativeName Stephen H. Muggleton. Stephen Muggleton alternativeName Stephen H. Muggleton.. Stephen Muggleton alternativeName Stephen Muggleton. Stephen Muggleton i10Index 101. Stephen Muggleton orcidId https://orcid.org/0000-0001-6061-6104. Stephen H. Muggleton is Creator. Stephen H. Muggleton is Person. Stephen H. Muggleton link http://www.wikidata.org/entity/Q7610052. Stephen H. Muggleton affiliation University of York, Department of Computer Science, UK. Stephen H. Muggleton affiliation Imperial College London, Department of Computing, UK. Stephen H. Muggleton link https://wp.doc.ic.ac.uk/shm/. Stephen H. Muggleton primary affiliation Imperial College London, Department of Computing, UK. Stephen H. Muggleton link https://wp.doc.ic.ac.uk/shm/. Stephen H. Muggleton link https://www.scopus.com/authid/detail.uri?authorId=7003491952. Stephen H. Muggleton link https://mathscinet.ams.org/mathscinet/MRAuthorID/340660. Stephen H. Muggleton link https://dl.acm.org/profile/81100286173. Stephen H. Muggleton link https://mathgenealogy.org/id.php?id=166206. Stephen H. Muggleton link https://zbmath.org/authors/?q=ai:muggleton.stephen-h. Stephen H. Muggleton link https://scholar.google.com/citations?user=WxJXT2MAAAAJ. Stephen H. Muggleton link https://en.wikipedia.org/wiki/Stephen_Muggleton. José Hernández-Orallo et al.: Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442). (2015) authored by Stephen H. Muggleton. Luc De Raedt et al.: Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202). (2019) authored by Stephen H. Muggleton. Ute Schmid et al.: Approaches and Applications of Inductive Programming (Dagstuhl Seminar 17382). (2017) authored by Stephen H. Muggleton. Cao Feng et al.: Statlog Project. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Learning Chomsky-like Grammars for Biological Sequence Families. (2000) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Compression, Significance, and Accuracy. (1992) authored by Stephen H. Muggleton. Ghazal Afroozi Milani et al.: Machine Learning and Text Mining of Trophic Links. (2012) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Abduction and induction for learning models of inhibition in metabolic networks. (2005) authored by Stephen H. Muggleton. Cao Feng and Stephen H. Muggleton: Towards Inductive Generalization in Higher Order Logic. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton: Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist. (2008) authored by Stephen H. Muggleton. Stephen H. Muggleton: From ILP to PILP. (2008) authored by Stephen H. Muggleton. Wang-Zhou Dai and Stephen H. Muggleton: Abductive Knowledge Induction from Raw Data. (2021) authored by Stephen H. Muggleton. Stephen H. Muggleton and Dianhuan Lin: Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention revisited. (2013) authored by Stephen H. Muggleton. Pavel Brazdil and Stephen H. Muggleton: Learning to Relate Terms in a Multiple Agent Environment. (1991) authored by Stephen H. Muggleton. Saso Dzeroski et al.: Learnability of Constrained Logic Programs. (1993) authored by Stephen H. Muggleton. Stephen H. Muggleton: Structuring Knowledge by Asking Questions. (1987) authored by Stephen H. Muggleton. Stephen H. Muggleton: A Strategy for Constructing New Predicates in First-Order Logic. (1988) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming: Derivations, Successes and Shortcomings. (1993) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. (2000) authored by Stephen H. Muggleton. Stephen H. Muggleton: Towards Chemical Universal Turing Machines. (2006) authored by Stephen H. Muggleton. Ivan Bratko et al.: Learning Qualitative Models of Dynamic Systems. (1991) authored by Stephen H. Muggleton. Stephen H. Muggleton: Bayesian Inductive Logic Programming. (1994) authored by Stephen H. Muggleton. Stephen H. Muggleton and Wray L. Buntine: Machine Invention of First Order Predicates by Inverting Resolution. (1988) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: An Experimental Comparison of Human and Machine Learning Formalisms. (1989) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: TopLog: ILP Using a Logic Program Declarative Bias. (2008) authored by Stephen H. Muggleton. Jose Santos and Stephen H. Muggleton: Subsumer: A Prolog theta-subsumption engine. (2010) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Learning Efficient Logical Robot Strategies Involving Composable Objects. (2015) authored by Stephen H. Muggleton. Huma Lodhi and Stephen H. Muggleton: Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods. (2004) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Can predicate invention compensate for incomplete background knowledge? (2015) authored by Stephen H. Muggleton. Huma Lodhi and Stephen H. Muggleton: Computing Confidence Measures in Stochastic Logic Programs. (2005) authored by Stephen H. Muggleton. Stephen H. Muggleton: Learning the Time Complexity of Logic Programs. (2005) authored by Stephen H. Muggleton. Jung-Wook Bang et al.: Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology. (2003) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming, 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers (1997) edited by Stephen H. Muggleton. Stephen H. Muggleton et al.: Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007) edited by Stephen H. Muggleton. Luc De Raedt et al.: Probabilistic Inductive Logic Programming - Theory and Applications (2008) edited by Stephen H. Muggleton. Stephen H. Muggleton et al.: Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers (2012) edited by Stephen H. Muggleton. Stephen H. Muggleton and Hiroaki Watanabe: Latest Advances in Inductive Logic Programming, ILP 2011, Late Breaking Papers, Windsor Great Park, UK, July 31 - August 3, 2011. (2014) edited by Stephen H. Muggleton. Stephen H. Muggleton and Alireza Tamaddoni-Nezhad: Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings (2024) edited by Stephen H. Muggleton. Didac Barroso-Bergada et al.: Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. (2021) authored by Stephen H. Muggleton. Jianzhong Chen et al.: Multi-class Prediction Using Stochastic Logic Programs. (2006) authored by Stephen H. Muggleton. Jianzhong Chen et al.: Protein Fold Discovery Using Stochastic Logic Programs. (2008) authored by Stephen H. Muggleton. Jianzhong Chen et al.: Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract). (2007) authored by Stephen H. Muggleton. Simon Colton and Stephen H. Muggleton: ILP for Mathematical Discovery. (2003) authored by Stephen H. Muggleton. Hank Conn and Stephen H. Muggleton: The Effect of Predicate Order on Curriculum Learning in ILP. (2017) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning. (2014) authored by Stephen H. Muggleton. Andrew Cropper et al.: Meta-Interpretive Learning of Data Transformation Programs. (2015) authored by Stephen H. Muggleton. Wang-Zhou Dai et al.: Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. (2017) authored by Stephen H. Muggleton. Wang-Zhou Dai et al.: Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts. (2015) authored by Stephen H. Muggleton. Saso Dzeroski et al.: Detecting Traffic Problems with ILP. (1998) authored by Stephen H. Muggleton. Colin Farquhar et al.: Typed meta-interpretive learning for proof strategies. (2015) authored by Stephen H. Muggleton. Andreas Kirkeby Fidjeland et al.: Customisable Multi-Processor Acceleration of Inductive Logic Programming. (2011) authored by Stephen H. Muggleton. Robert J. Henderson and Stephen H. Muggleton: Automatic Invention of Functional Abstractions. (2011) authored by Stephen H. Muggleton. Céline Hocquette and Stephen H. Muggleton: How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (2018) authored by Stephen H. Muggleton. Khalid Khan et al.: Repeat Learning Using Predicate Invention. (1998) authored by Stephen H. Muggleton. Dianhuan Lin et al.: Does Multi-Clause Learning Help in Real-World Applications? (2011) authored by Stephen H. Muggleton. Stephen Moyle and Stephen H. Muggleton: Learning Programs in the Event Calculus. (1997) authored by Stephen H. Muggleton. Stephen H. Muggleton: Learning Structure and Parameters of Stochastic Logic Programs. (2002) authored by Stephen H. Muggleton. Stephen H. Muggleton: Machine Learning for Systems Biology. (2005) authored by Stephen H. Muggleton. Stephen H. Muggleton: Learning from Positive Data. (1996) authored by Stephen H. Muggleton. Stephen H. Muggleton: Advances in ILP Theory and Implementations (Abstract). (1998) authored by Stephen H. Muggleton. Stephen H. Muggleton: Completing Inverse Entailment. (1998) authored by Stephen H. Muggleton. Stephen H. Muggleton and Christopher H. Bryant: Theory Completion Using Inverse Entailment. (2000) authored by Stephen H. Muggleton. Stephen H. Muggleton and Michael Bain: Analogical Prediction. (1999) authored by Stephen H. Muggleton. Stephen H. Muggleton and Jianzhong Chen: A Behavioral Comparison of Some Probabilistic Logic Models. (2008) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Variation of Background Knowledge in an Industrial Application of ILP. (2010) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. (2013) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory. (2011) authored by Stephen H. Muggleton. Stephen H. Muggleton and Niels Pahlavi: The Complexity of Translating BLPs to RMMs. (2006) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. (2009) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. (1996) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: ProGolem: A System Based on Relative Minimal Generalisation. (2009) authored by Stephen H. Muggleton. Stephen H. Muggleton and Alireza Tamaddoni-Nezhad: QG/GA: A Stochastic Search for Progol. (2006) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Induction of Enzyme Classes from Biological Databases. (2003) authored by Stephen H. Muggleton. Stephen H. Muggleton and Changze Xu: Can ILP Learn Complete and Correct Game Strategies? (2011) authored by Stephen H. Muggleton. Niels Pahlavi and Stephen H. Muggleton: Can HOLL Outperform FOLL? (2010) authored by Stephen H. Muggleton. Niels Pahlavi and Stephen H. Muggleton: Towards Efficient Higher-Order Logic Learning in a First-Order Datalog Framework. (2011) authored by Stephen H. Muggleton. Rupert Parson et al.: Theory Recovery. (1999) authored by Stephen H. Muggleton. Sam Roberts et al.: A Comparison of ILP and Propositional Systems on Propositional Traffic Data. (1998) authored by Stephen H. Muggleton. Jose Santos and Stephen H. Muggleton: When Does It Pay Off to Use Sophisticated Entailment Engines in ILP? (2010) authored by Stephen H. Muggleton. Ute Schmid et al.: How Does Predicate Invention Affect Human Comprehensibility? (2016) authored by Stephen H. Muggleton. Ashwin Srinivasan et al.: Carcinogenesis Predictions Using ILP. (1997) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Towards Machine Learning of Predictive Models from Ecological Data. (2014) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Machine Learning a Probabilistic Network of Ecological Interactions. (2011) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. (2004) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad and Stephen H. Muggleton: Searching the Subsumption Lattice by a Genetic Algorithm. (2000) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad and Stephen H. Muggleton: A Genetic Algorithms Approach to ILP. (2002) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad and Stephen H. Muggleton: A Note on Refinement Operators for IE-Based ILP Systems. (2008) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad and Stephen H. Muggleton: Stochastic Refinement. (2010) authored by Stephen H. Muggleton. Marcel Turcotte et al.: Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. (1998) authored by Stephen H. Muggleton. Dany Varghese et al.: Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. (2021) authored by Stephen H. Muggleton. Hiroaki Watanabe and Stephen H. Muggleton: Can ILP Be Applied to Large Datasets? (2009) authored by Stephen H. Muggleton. Hiroaki Watanabe and Stephen H. Muggleton: Projection-Based PILP: Computational Learning Theory with Empirical Results. (2011) authored by Stephen H. Muggleton. Andrew Cropper et al.: Learning Higher-Order Programs through Predicate Invention. (2020) authored by Stephen H. Muggleton. Steve Barker et al.: The Scientific Contribution of Marek Sergot. (2012) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming: Inverse Resolution and Beyond. (1995) authored by Stephen H. Muggleton. Victor Lesk et al.: WIBL: Workbench for Integrative Biological Learning. (2011) authored by Stephen H. Muggleton. Stephen H. Muggleton: Developments in Inductive Logic Programming, Panel Position Paper. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming. (1990) authored by Stephen H. Muggleton. Stephen H. Muggleton: Optimal Layered Learning: A PAC Approach to Incremental Sampling. (1993) authored by Stephen H. Muggleton. Stephen H. Muggleton and Cao Feng: Efficient Induction of Logic Programs. (1990) authored by Stephen H. Muggleton. Huma Lodhi et al.: Multi-class protein fold recognition using large margin logic based divide and conquer learning. (2009) authored by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 13, Machine Intelligence and Inductive Learning, Loch Lomond, UK, 1992 (1994) edited by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993 (1995) edited by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995] (1999) edited by Stephen H. Muggleton. Michael Bain and Stephen H. Muggleton: Learning optimal chess strategies. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inverting Entailment and Progol. (1993) authored by Stephen H. Muggleton. Stephen H. Muggleton: Logic and Learning: Turing's legacy. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton and David Page: A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees. (1995) authored by Stephen H. Muggleton. Rupert Parson and Stephen H. Muggleton: An Experiment with Browsers that Learn. (1995) authored by Stephen H. Muggleton. Ashwin Srinivasan et al.: The Justification of Logical Theories based on Data Compression. (1992) authored by Stephen H. Muggleton. Michael J. E. Sternberg et al.: Drug Design by Machine Learning. (1995) authored by Stephen H. Muggleton. Michael J. E. Sternberg et al.: Machine Learning and biomolecular modelling. (1992) authored by Stephen H. Muggleton. Andrew Cropper et al.: Turning 30: New Ideas in Inductive Logic Programming. (2020) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Learning Higher-Order Logic Programs through Abstraction and Invention. (2016) authored by Stephen H. Muggleton. Céline Hocquette and Stephen H. Muggleton: Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. (2020) authored by Stephen H. Muggleton. Stephen H. Muggleton: Duce, An Oracle-based Approach to Constructive Induction. (1987) authored by Stephen H. Muggleton. Ashwin Srinivasan et al.: The Predictive Toxicology Evaluation Challenge. (1997) authored by Stephen H. Muggleton. Le-Wen Cai et al.: Abductive Learning with Ground Knowledge Base. (2021) authored by Stephen H. Muggleton. Stephen H. Muggleton: Knowledge Mining Biological Network Models. (2010) authored by Stephen H. Muggleton. Stephen H. Muggleton and Donald Michie: Machine Intelligibility and the Duality Principle. (1997) authored by Stephen H. Muggleton. Huma Lodhi et al.: Learning Large Margin First Order Decision Lists for Multi-Class Classification. (2009) authored by Stephen H. Muggleton. Stephen H. Muggleton: Knowledge Discovery in Biological and Chemical Domains. (1998) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Support Vector Inductive Logic Programming. (2005) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Biochemical Knowledge Discovery Using Inductive Logic Programming. (1998) authored by Stephen H. Muggleton. Andreas Fidjeland et al.: A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming. (2008) authored by Stephen H. Muggleton. Dunja Mladenic et al.: Editors's Introduction to the Special Issue on \\\"100 Years of Alan Turing and 20 Years of SLAIS\\\". (2013) authored by Stephen H. Muggleton. Stephen H. Muggleton: Scientific Knowledge Discovery Using Inductive Logic Programming. (1999) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning. (2021) authored by Stephen H. Muggleton. Andrew Cropper et al.: Learning higher-order logic programs. (2019) authored by Stephen H. Muggleton. Jianzhong Chen et al.: Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning. (2007) authored by Stephen H. Muggleton. Dianhuan Lin et al.: Bias reformulation for one-shot function induction. (2014) authored by Stephen H. Muggleton. Yu-Xuan Huang et al.: Fast Abductive Learning by Similarity-based Consistency Optimization. (2021) authored by Stephen H. Muggleton. Saso Dzeroski et al.: PAC-Learnability of Determinate Logic Programs. (1992) authored by Stephen H. Muggleton. Stephen H. Muggleton: Bayesian Inductive Logic Programming. (1994) authored by Stephen H. Muggleton. Ata Amini et al.: A Novel Logic-Based Approach for Quantitative Toxicology Prediction. (2007) authored by Stephen H. Muggleton. Ivan Bratko and Stephen H. Muggleton: Applications of Inductive Logic Programming. (1995) authored by Stephen H. Muggleton. Edward O. Cannon et al.: Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. (2007) authored by Stephen H. Muggleton. Lun Ai et al.: Human Comprehensible Active Learning of Genome-Scale Metabolic Networks. (2023) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive acquisition of expert knowledge. (1990) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive acquisition of expert knowledge. (1986) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract). (1998) authored by Stephen H. Muggleton. Stephen H. Muggleton: Meta-Interpretive Learning: Achievements and Challenges (Invited Paper). (2017) authored by Stephen H. Muggleton. Andreas Fidjeland et al.: Scalable acceleration of inductive logic programs. (2002) authored by Stephen H. Muggleton. José Carlos Almeida Santos et al.: An ILP System for Learning Head Output Connected Predicates. (2009) authored by Stephen H. Muggleton. Luc De Raedt et al.: Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 (2006) edited by Stephen H. Muggleton. Luc De Raedt et al.: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008) edited by Stephen H. Muggleton. Ryutaro Ichise et al.: Semantic Technology - 8th Joint International Conference, JIST 2018, Awaji, Japan, November 26-28, 2018, Proceedings (2018) edited by Stephen H. Muggleton. Hiroaki Watanabe and Stephen H. Muggleton: Learning Stochastic Logical Automaton. (2005) authored by Stephen H. Muggleton. Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2023) authored by Stephen H. Muggleton. Simon Colton and Stephen H. Muggleton: Mathematical applications of inductive logic programming. (2006) authored by Stephen H. Muggleton. Andrew Cropper et al.: Learning higher-order logic programs. (2020) authored by Stephen H. Muggleton. Thomas G. Dietterich et al.: Structured machine learning: the next ten years. (2008) authored by Stephen H. Muggleton. Stephen H. Muggleton and Jianzhong Chen: Guest editorial: special issue on Inductive Logic Programming (ILP 2011). (2012) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Meta-interpretive learning: application to grammatical inference. (2014) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP. (2018) authored by Stephen H. Muggleton. Stephen H. Muggleton and Alireza Tamaddoni-Nezhad: QG/GA: a stochastic search for Progol. (2008) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Meta-interpretive learning as metarule specialisation. (2022) authored by Stephen H. Muggleton. Huma Lodhi et al.: Multi-Class protein fold recognition using large margin logic based divide and conquer learning. (2009) authored by Stephen H. Muggleton. Stephen H. Muggleton and David Page: Guest Editors' Introduction: Inductive Logic Programming. (1999) authored by Stephen H. Muggleton. Stephen H. Muggleton and Luc De Raedt: Inductive Logic Programming: Theory and Methods. (1994) authored by Stephen H. Muggleton. Luc De Raedt et al.: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. (2007) authored by Stephen H. Muggleton. Luc De Raedt et al.: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. (2005) authored by Stephen H. Muggleton. Luc De Raedt et al.: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. (2005) authored by Stephen H. Muggleton. Kazuhisa Tsunoyama et al.: Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. (2008) authored by Stephen H. Muggleton. Stephen H. Muggleton: Predicate invention and utilization. (1994) authored by Stephen H. Muggleton. Sumit Gulwani et al.: Inductive programming meets the real world. (2015) authored by Stephen H. Muggleton. José Carlos Almeida Santos et al.: Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. (2012) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic. (1999) authored by Stephen H. Muggleton. Ashwin Srinivasan et al.: Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. (1996) authored by Stephen H. Muggleton. Wang-Zhou Dai and Stephen H. Muggleton: Abductive Knowledge Induction From Raw Data. (2020) authored by Stephen H. Muggleton. Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2022) authored by Stephen H. Muggleton. Ryutaro Ichise et al.: Special Issue on Semantic Technology. (2019) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inverse Entailment and Progol. (1995) authored by Stephen H. Muggleton. Stephen H. Muggleton and Céline Hocquette: Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning. (2019) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming: Derivations, Successes and Shortcomings. (1994) authored by Stephen H. Muggleton. Stephen H. Muggleton: Alan Turing and the development of Artificial Intelligence. (2014) authored by Stephen H. Muggleton. Lun Ai et al.: Beneficial and Harmful Explanatory Machine Learning. (2020) authored by Stephen H. Muggleton. Lun Ai et al.: Beneficial and harmful explanatory machine learning. (2021) authored by Stephen H. Muggleton. Jianzhong Chen et al.: Learning probabilistic logic models from probabilistic examples. (2008) authored by Stephen H. Muggleton. Andrew Cropper et al.: Inductive logic programming at 30. (2022) authored by Stephen H. Muggleton. Andrew Cropper and Stephen H. Muggleton: Learning efficient logic programs. (2019) authored by Stephen H. Muggleton. Paul W. Finn et al.: Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. (1998) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Meta-Interpretive Learning from noisy images. (2018) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited. (2015) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Guest editorial: special issue on Inductive Logic Programming. (2008) authored by Stephen H. Muggleton. Stephen H. Muggleton and David Page: Guest Editors' Introduction. (1997) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: ILP turns 20 - Biography and future challenges. (2012) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Top program construction and reduction for polynomial time Meta-Interpretive learning. (2021) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Correction to: Meta-interpretive learning as metarule specialisation. (2022) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Application of abductive ILP to learning metabolic network inhibition from temporal data. (2006) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad and Stephen H. Muggleton: The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. (2009) authored by Stephen H. Muggleton. Marcel Turcotte et al.: The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. (2001) authored by Stephen H. Muggleton. Christopher H. Bryant et al.: Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. (2001) authored by Stephen H. Muggleton. A. P. Cootes et al.: Automatic determination of protein fold signatures from structural superpositions. (2001) authored by Stephen H. Muggleton. Stephen H. Muggleton: Learning Stochastic Logic Programs. (2000) authored by Stephen H. Muggleton. Philip G. K. Reiser et al.: Developing a Logical Model of Yeast Metabolism. (2001) authored by Stephen H. Muggleton. Marcel Turcotte et al.: Use of Inductive Logic Programming to Learn Principles of Protein Structure. (2000) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study. (2001) authored by Stephen H. Muggleton. Marcel Turcotte et al.: Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. (2002) authored by Stephen H. Muggleton. Céline Hocquette and Stephen H. Muggleton: Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? (2019) authored by Stephen H. Muggleton. Andrew Cropper et al.: Inductive logic programming at 30. (2021) authored by Stephen H. Muggleton. Stephen H. Muggleton: Inductive Logic Programming. (1991) authored by Stephen H. Muggleton. Stephen H. Muggleton et al.: Special Issue on Inductive Logic Programming. (1995) authored by Stephen H. Muggleton. Andrew Cropper et al.: Turning 30: New Ideas in Inductive Logic Programming. (2020) authored by Stephen H. Muggleton. Wang-Zhou Dai et al.: Automated Biodesign Engineering by Abductive Meta-Interpretive Learning. (2021) authored by Stephen H. Muggleton. Stassa Patsantzis and Stephen H. Muggleton: Meta-Interpretive Learning as Metarule Specialisation. (2021) authored by Stephen H. Muggleton. Stephen H. Muggleton and Nicholas Chater: Human-Like Machine Intelligence. (2022) edited by Stephen H. Muggleton. Stephen H. Muggleton and Wang-Zhou Dai: Human-like Computer Vision. (2022) authored by Stephen H. Muggleton. Alireza Tamaddoni-Nezhad et al.: Human-Machine Scientific Discovery. (2022) authored by Stephen H. Muggleton{'author_wikipedia_text': \\\"Stephen H. Muggleton FBCS, FIET, FAAAI, FECCAI, FSB, FREng (born 6 December 1959, son of Louis Muggleton) is Professor of Machine Learning and Head of the Computational Bioinformatics Laboratory at Imperial College London.\\\\nMuggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh.\\\\nFollowing his PhD, Muggleton went on to work as a postdoctoral research associate at the Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (OUCL) (1992–1997) where he founded the Machine Learning Group. In 1997 he moved to the University of York and in 2001 to Imperial College London.\\\\nMuggleton's research interests are primarily in Artificial intelligence. From 1997 to 2001 he held the Chair of Machine Learning at the University of York and from 2001 to 2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London. Since 2013 he holds the Syngenta/Royal Academy of Engineering Research Chair as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology. He is known for founding the field of Inductive logic programming. In this field he has made contributions to theory introducing predicate invention, inverse entailment and stochastic logic programs. He has also played a role in systems development where he was instrumental in the systems Duce, Cigol, Golem, Progol and Metagol and applications – especially biological prediction tasks.\\\\nHe worked on a Robot Scientist together with Ross D. King that is capable of combining Inductive Logic Programming with active learning. His present work concentrates on the development of Meta-Interpretive Learning, a new form of Inductive Logic Programming which supports predicate invention and learning of recursive programs.\\\"}\",\n \"verbalizer_on_all_triples\": \"Stephen Muggleton wrote 11 papers in 2012.\\nStephen Muggleton wrote 5 papers in 2013.\\nStephen Muggleton wrote 13 papers in 2014.\\nStephen Muggleton wrote 11 papers in 2015.\\nStephen Muggleton wrote 4 papers in 2016.\\nStephen Muggleton wrote 3 papers in 2017.\\nStephen Muggleton wrote 6 papers in 2018.\\nStephen Muggleton wrote 9 papers in 2019.\\nStephen Muggleton wrote 7 papers in 2020.\\nStephen Muggleton wrote 11 papers in year 2021.\\nStephen Muggleton wrote 5 papers in 2022.\\nStephen Muggleton wrote 3 papers in 2023.\\nStephen Muggleton has a 2YrMeanCitedness of 1.6666666269302368164.\\nStephen H Muggleton is affiliated with the University of York, Department of Computer Science, UK and Imperial College London, Department of Computing, UK.\\nStephen Muggleton is also known as S. H. Muggleton. He is also known as Stephen H. Muggleton.\\n\\\"Andrew Cropper and Stephen H. Muggleton: Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning. (2014), Ute Schmid et al.: How Does Predicate Invention Affect Human Comprehensibility. (2000), Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2023), Lun Ai et al.: Beneficial and harmful explanatory machine learning. (2021), Ashwin Sri\\nStephen Muggleton cited ByCount 9113.\\n\\\"Koichi Furukawa et al.: Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995] (1999), Luc De Raedt et al.: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008), Stephen H. Muggleton and Nicholas Chater: Human-Like Machine Intelligence. (2022), Stephen H. Muggleton: Inductive \\nStephen Muggleton has an h-index of 39.\\nStephen Muggleton's i10Index is 101.\\nStephen H. Muggleton is the creator of Stephen H. Muggleton. He is the author of Stephen H. Muggleton.\\nhttps://scholar.google.com/citations?user=WxJXT2MAAAAJ, https://en.wikipedia.org/wiki/Stephen_Muggleton, https://mathscinet.ams.org/mathscinet/MRAuthorID/340660, https://mathgenealogy.org/id.php?id=166206, https://dl.acm.org/profile/81100286173, https://w\\nStephen Muggleton is a member of the Imperial College London.\\nStephen Muggleton was modified on 2023-10-18.\\nStephen Muggleton's name is Stephen Muggleton.\\nStephen Muggleton has orcidId https://orcid.org/0000-0001-6061-6104.\\nStephen H Muggleton's primary affiliation is Imperial College London, Department of Computing, UK.\\nStephen Muggleton has 284 works.{'author_wikipedia_text': \\\"Stephen H. Muggleton FBCS, FIET, FAAAI, FECCAI, FSB, FREng (born 6 December 1959, son of Louis Muggleton) is Professor of Machine Learning and Head of the Computational Bioinformatics Laboratory at Imperial College London.\\\\nMuggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh.\\\\nFollowing his PhD, Muggleton went on to work as a postdoctoral research associate at the Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (OUCL) (1992–1997) where he founded the Machine Learning Group. In 1997 he moved to the University of York and in 2001 to Imperial College London.\\\\nMuggleton's research interests are primarily in Artificial intelligence. From 1997 to 2001 he held the Chair of Machine Learning at the University of York and from 2001 to 2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London. Since 2013 he holds the Syngenta/Royal Academy of Engineering Research Chair as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology. He is known for founding the field of Inductive logic programming. In this field he has made contributions to theory introducing predicate invention, inverse entailment and stochastic logic programs. He has also played a role in systems development where he was instrumental in the systems Duce, Cigol, Golem, Progol and Metagol and applications – especially biological prediction tasks.\\\\nHe worked on a Robot Scientist together with Ross D. King that is capable of combining Inductive Logic Programming with active learning. His present work concentrates on the development of Meta-Interpretive Learning, a new form of Inductive Logic Programming which supports predicate invention and learning of recursive programs.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"Stephen H. Muggleton and Changze Xu: Can ILP Learn Complete and Correct Game Strategies? (2011), Lun Ai et al.: Explanatory machine learning for sequential human teaching. (2023), Lun Ai et al.: Beneficial and harmful explanatory machine learning. (2021), Michael Bain and Stephen H. Muggleton: Learning optimal chess strategies. (1992), Colin Farquhar et al.: Typed meta-interpretive learning for proof strategies\\nKoichi Furukawa et al.: Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993 (1995) was edited by Stephen H. Muggleton. Koichi Furukawa et al.: Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995] (1999) was edited by Stephen H. Muggleton. His present work concentrates on the development of Meta-Interpretive Learning, a new form of Inductive Logic Programming which supports predicate invention and learning of recursive programs. \\\\nMuggleton's research interests are primarily in Artificial intelligence. \\\\nMuggleton received his Bachelor of Science degree in computer science (1982) and Doctor of Philosophy in artificial intelligence (1986) supervised by Donald Michie at the University of Edinburgh\"\n}"}}},{"rowIdx":79,"cells":{"id":{"kind":"string","value":"af0a9a9b-cd3d-4d9c-b1f5-6f3a98e6dc7c"},"triples_number":{"kind":"number","value":263,"string":"263"},"question":{"kind":"string","value":"What is the hIndex of the author of Information theory and coding problems in genetics?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"1.375\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Bane Vasić\"\n },\n {\n \"object\": \"University of Niš, Serbia\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Bane Vasic\"\n },\n {\n \"object\": \"University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Bane Vasic\"\n },\n {\n \"object\": \"B. 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(2004) authored by Bane Vasic. Bane Vasic et al.: An Information Theoretic Approach to Constructing Robust Boolean Gene Regulatory Networks. (2012) authored by Bane Vasic. Olgica Milenkovic et al.: On DNA Computers Controlling Gene Expression Levels. (2005) authored by Bane Vasic. Nithin Raveendran et al.: Soft Syndrome Decoding of Quantum LDPC Codes for Joint Correction of Data and Syndrome Errors. (2022) authored by Bane Vasic. Nithin Raveendran et al.: Soft Syndrome Decoding of Quantum LDPC Codes for Joint Correction of Data and Syndrome Errors. (2022) authored by Bane Vasic. Bane Vasic link https://ece.engineering.arizona.edu/faculty-staff/faculty/bane-vasic. Olgica Milenkovic and Bane Vasic: Asymptotic analysis of A* maximum-likelihood decoding with reliability reordering. (2003) authored by Bane Vasic. Elsa Dupraz et al.: Asymptotic Error Probability of the Gallager B Decoder Under Timing Errors. (2017) authored by Bane Vasic. Bane Vasic et al.: Learning to Decode LDPC Codes with Finite-Alphabet Message Passing. (2018) authored by Bane Vasic. Xin Xiao et al.: Serial concatenation of reed muller and LDPC codes with low error floor. (2017) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Sets of Quantum LDPC Codes. (2020) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Sets of Quantum LDPC Codes. (2021) authored by Bane Vasic. Dung Viet Nguyen et al.: LDPC Codes from Latin Squares Free of Small Trapping Sets (2010) authored by Bane Vasic. Bane V. Vasic: Spectral Analysis of Maximum Entropy Multitrack Modulation Codes. (1998) authored by Bane Vasic. Nithin Raveendran et al.: Syndrome-Generalized Belief Propagation Decoding for Quantum Memories. (2019) authored by Bane Vasic. Ivan B. Djordjevic et al.: Coding for Optical Channels. (2010) authored by Bane Vasic. Paul H. Siegel et al.: Advances in Information Recording, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, March 22-24, 2004 (2008) edited by Bane Vasic. Mikhail G. Stepanov et al.: Diagnosis of weaknesses in modern error correction codes: a physics approach (2005) authored by Bane Vasic. Bane Vasic link http://www.wikidata.org/entity/Q29478862. Bane Vasic and Karunakar Pedagani: A runlength limited low-density parity-check coding scheme. (2003) authored by Bane Vasic. Shiva Kumar Planjery et al.: Finite Alphabet Iterative Decoders, Part I: Decoding Beyond Belief Propagation on BSC (2012) authored by Bane Vasic. Bane Vasic affiliation University of Niš, Serbia. Shashi Kiran Chilappagari et al.: Analysis of error floors of LDPC codes under LP decoding over the BSC. (2009) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Error Floors of LDPC Codes on the Binary Symmetric Channel. (2006) authored by Bane Vasic. Mohsen Bahrami and Bane Vasic: Generalized Belief Propagation Based Deliberate Bit Flipping Modulation Coding. (2016) authored by Bane Vasic. Ludovic Danjean et al.: On the selection of finite alphabet iterative decoders for LDPC codes on the BSC. (2011) authored by Bane Vasic He was named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to coding theory and its applications in data storage systems and optical communications. {'author_wikipedia_text': 'Bane Vasic is an engineer at the University of Arizona, Tucson\",\n \"plain\": \"Bane Vasić is Author. Bane Vasić modified 2023-10-18. Bane Vasić citedByCount 6184. Bane Vasić written paper amount in year2012: 22. Bane Vasić written paper amount in year2012: 22. Bane Vasić written paper amount in year2013: 17. Bane Vasić written paper amount in year2013: 17. Bane Vasić written paper amount in year2014: 20. Bane Vasić written paper amount in year2014: 20. Bane Vasić written paper amount in year2015: 17. Bane Vasić written paper amount in year2015: 17. Bane Vasić written paper amount in year2016: 16. Bane Vasić written paper amount in year2016: 16. Bane Vasić written paper amount in year2017: 17. Bane Vasić written paper amount in year2017: 17. Bane Vasić written paper amount in year2018: 9. Bane Vasić written paper amount in year2018: 9. Bane Vasić written paper amount in year2019: 9. Bane Vasić written paper amount in year2019: 9. Bane Vasić written paper amount in year2020: 4. Bane Vasić written paper amount in year2020: 4. Bane Vasić written paper amount in year2021: 12. Bane Vasić written paper amount in year2021: 12. Bane Vasić written paper amount in year2022: 7. Bane Vasić written paper amount in year2022: 7. Bane Vasić written paper amount in year2023: 11. Bane Vasić written paper amount in year2023: 11. Bane Vasić worksCount 425. Bane Vasić name Bane Vasić. Bane Vasić member of University of Arizona. Bane Vasić h-index 41. Bane Vasić 2YrMeanCitedness 1.375. Bane Vasić alternativeName B. V. Vasic. Bane Vasić alternativeName B. Vasic. Bane Vasić alternativeName B. Vasić. Bane Vasić alternativeName Bane V. Vasic. Bane Vasić alternativeName Bane Vasic. Bane Vasić alternativeName Bane Vasić. Bane Vasić i10Index 123. Bane Vasić orcidId https://orcid.org/0000-0003-2365-4106. Bane Vasic is Creator. Bane Vasic is Person. Bane Vasic link http://www.wikidata.org/entity/Q29478862. Bane Vasic affiliation University of Niš, Serbia. Bane Vasic affiliation University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA. Bane Vasic link https://ecl.silicon-studio.com/. Bane Vasic link https://ece.engineering.arizona.edu/faculty-staff/faculty/bane-vasic. Bane Vasic primary affiliation University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA. Bane Vasic link https://ecl.silicon-studio.com/. Bane Vasic link https://ieeexplore.ieee.org/author/37274466600. Bane Vasic link https://en.wikipedia.org/wiki/Bane_Vasic. Lingling Pu et al.: Joint source-channel rate allocation in parallel channels. (2007) authored by Bane Vasic. Sudarshan Adiga et al.: Generalization Bounds for Neural Belief Propagation Decoders. (2023) authored by Bane Vasic. Srdan Brkic et al.: Analysis of one-step majority logic decoding under correlated data-dependent gate failures. (2014) authored by Bane Vasic. Predrag Ivanis et al.: Performance evaluation of faulty iterative decoders using absorbing Markov chains. (2016) authored by Bane Vasic. Vidya Kumar et al.: Structured LDPC codes over GF(22) and companion matrix based decoding. (2004) authored by Bane Vasic. Bane Vasic et al.: Decoder diversity architectures for finite alphabet iterative decoders. (2014) authored by Bane Vasic. Ivan B. Djordjevic and Bane Vasic: Multilevel Coding for Spectrally Efficient Noncoherent Optical Transmission. (2006) authored by Bane Vasic. Predrag Ivanis et al.: MUDRI: A fault-tolerant decoding algorithm. (2015) authored by Bane Vasic. Bane Vasic and Karunakar Pedagani: A runlength limited low-density parity-check coding scheme. (2003) authored by Bane Vasic. Bata Vasic and Bane Vasic: Blind QIM-LDPC watermarking of 3D-meshes. (2013) authored by Bane Vasic. Rathnakumar Radhakrishnan and Bane Vasic: Joint Message-Passing Symbol-Decoding of LDPC Coded Signals over Partial-Response Channels. (2009) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Set Analysis of Horizontal Layered Decoder. (2018) authored by Bane Vasic. Bane Vasic: High-rate low-density parity check codes based on anti-Pasch affine geometries. (2002) authored by Bane Vasic. Mohsen Bahrami et al.: Towards the exact rate-memory trade-off for uncoded caching with secure delivery. (2017) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Girth of the Tanner graph and error correction capability of LDPC codes. (2008) authored by Bane Vasic. Velimir Ilic et al.: Uniformly reweighted APP decoder for memory efficient decoding of LDPC Codes. (2014) authored by Bane Vasic. Mohammed Alfowzan et al.: Joint detection of multiple orbital angular momentum optical modes. (2013) authored by Bane Vasic. Mohsen Bahrami and Bane Vasic: Constraint Satisfaction Through GBP-Guided Deliberate Bit Flipping. (2019) authored by Bane Vasic. Seyed Mehrdad Khatami and Bane Vasic: Detection for two-dimensional magnetic recording systems. (2013) authored by Bane Vasic. Olgica Milenkovic et al.: On DNA Computers Controlling Gene Expression Levels. (2005) authored by Bane Vasic. Fakhreddine Ghaffari et al.: Multi-Mode Low-Latency Software-Defined Error Correction for Data Centers. (2017) authored by Bane Vasic. Mehrdad Khatami and Bane Vasic: Constrained coding and detection for TDMR using generalized belief propagation. (2014) authored by Bane Vasic. Srinivasan Ramasubramanian et al.: Finite Shift-Invariant Optical Orthogonal Codes for Quasi-Synchronous Communication Systems. (2006) authored by Bane Vasic. Elsa Dupraz et al.: Performance of taylor-kuznetsov memories under timing errors. (2017) authored by Bane Vasic. Milos Ivkovic et al.: A Soft Decision Decoding Scheme for Long-Haul Optical Transmission Systems Based on the Instanton Approach. (2006) authored by Bane Vasic. Goran T. Djordjevic et al.: Performance Analysis of LDPC-Coded PSK Signal Transmission over Non-Linear Satellite Channel in the Presence of Multiple Interferences. (2006) authored by Bane Vasic. Vida Ravanmehr et al.: On iterative compressed sensing reconstruction of sparse non-negative vectors. (2011) authored by Bane Vasic. Nithin Raveendran et al.: Soft Syndrome Decoding of Quantum LDPC Codes for Joint Correction of Data and Syndrome Errors. (2022) authored by Bane Vasic. Srdan Brkic et al.: Guaranteed error correction of faulty bit-flipping decoders under data-dependent gate failures. (2016) authored by Bane Vasic. Milos Ivkovic et al.: Designing LDPC Codes without small trapping sets by using Tanner Graph Covers. (2007) authored by Bane Vasic. Milos Ivkovic et al.: Calculation of Achievable Information Rates of Long-Haul Optical Transmission Systems using Instanton Approach. (2006) authored by Bane Vasic. Mehrdad Khatami et al.: Symmetric information rate estimation and bit aspect ratio optimization for TDMR using Generalized Belief Propagation. (2015) authored by Bane Vasic. Dung Viet Nguyen et al.: Selecting two-bit bit flipping algorithms for collective error correction. (2012) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Set Analysis of Finite-Length Quantum LDPC Codes. (2021) authored by Bane Vasic. Xin Xiao et al.: Quasi-Cyclic LDPC Codes for Correcting Multiple Phased Bursts of Erasures. (2019) authored by Bane Vasic. Lingling Pu et al.: Unequal error protection and progressive decoding for JPEG2000. (2005) authored by Bane Vasic. Bane Vasic et al.: Spectrum shaping constrained codes for recording. (2005) authored by Bane Vasic. Nithin Raveendran et al.: Stochastic resonance decoding for quantum LDPC codes. (2017) authored by Bane Vasic. Ivan B. Djordjevic et al.: Energy-Efficient Free-Space Optical Communication by Coded OAM Modulation. (2011) authored by Bane Vasic. Vladimir Y. Chernyak et al.: Instanton method of post-error-correction analytical evaluation. (2004) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: LDPC codes which can correct three errors under iterative decoding. (2008) authored by Bane Vasic. Ludovic Danjean et al.: On the selection of finite alphabet iterative decoders for LDPC codes on the BSC. (2011) authored by Bane Vasic. David Declercq et al.: Approaching maximum likelihood decoding of finite length LDPC codes via FAID diversity. (2012) authored by Bane Vasic. Olgica Milenkovic and Bane Vasic: Asymptotic analysis of A* maximum-likelihood decoding with reliability reordering. (2003) authored by Bane Vasic. Olgica Milenkovic and Bane Vasic: Information theory and coding problems in genetics. (2004) authored by Bane Vasic. Dung Viet Nguyen et al.: Structured LDPC codes from permutation matrices free of small trapping sets. (2010) authored by Bane Vasic. Rathnakumar Radhakrishnan et al.: Characterization of Heat-Assisted Magnetic Recording Channels. (2004) authored by Bane Vasic. Paul H. Siegel et al.: Advances in Information Recording, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, March 22-24, 2004 (2008) edited by Bane Vasic. Shashi Kiran Chilappagari et al.: Worst configurations (instantons) for Compressed Sensing over reals: A channel coding approach. (2010) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Analysis of One Step Majority Logic Decoders Constructed From Faulty Gates. (2006) authored by Bane Vasic. Madiagne Diouf et al.: A PEG-like LDPC code design avoiding short trapping sets. (2015) authored by Bane Vasic. Chaitanya Kumar Matcha et al.: Generalized belief propagation based TDMR detector and decoder. (2016) authored by Bane Vasic. Dung Viet Nguyen et al.: Two-bit bit flipping decoding of LDPC codes. (2011) authored by Bane Vasic. Shiva Kumar Planjery et al.: Decimation-enhanced finite alphabet iterative decoders for LDPC codes on the BSC. (2011) authored by Bane Vasic. Shiva Kumar Planjery et al.: Enhancing the error correction of finite alphabet iterative decoders via adaptive decimation. (2012) authored by Bane Vasic. Rathnakumar Radhakrishnan et al.: Analytical Performance of One-Step Majority Logic Decoding of Regular LDPC Codes. (2007) authored by Bane Vasic. Milos Ivkovic et al.: Construction of Memory Circuits Using Unreliable Components Based on Low-Density Parity-Check Codes. (2006) authored by Bane Vasic. Anantha Raman Krishnan and Bane Vasic: Coding for Correcting Insertions and Deletions in Bit-Patterned Media Recording. (2011) authored by Bane Vasic. Lu Pan et al.: Serial Turbo Coding Performance for Rectangular-Grain TDMR Models. (2010) authored by Bane Vasic. Xin Xiao et al.: Finite Alphabet Iterative Decoding of LDPC Codes with Coarsely Quantized Neural Networks. (2019) authored by Bane Vasic. Bane Vasic: Structured iteratively decodable codes based on Steiner systems and their application in magnetic recording. (2001) authored by Bane Vasic. Burak Unal et al.: Analysis and implementation of resource efficient probabilistic Gallager B LDPC decoder. (2017) authored by Bane Vasic. Fakhreddine Ghaffari and Bane Vasic: Probabilistic Gradient Descent Bit-Flipping Decoders for Flash Memory Channels. (2018) authored by Bane Vasic. Bane Vasic et al.: An Information Theoretic Approach to Constructing Robust Boolean Gene Regulatory Networks. (2012) authored by Bane Vasic. Shayan Srinivasa Garani et al.: Signal Processing and Coding Techniques for 2-D Magnetic Recording: An Overview. (2018) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: An Efficient Instanton Search Algorithm for LP Decoding of LDPC Codes Over the BSC. (2011) authored by Bane Vasic. Sundararajan Sankaranarayanan and Bane Vasic: Iterative Decoding of Linear Block Codes: A Parity-Check Orthogonalization Approach. (2005) authored by Bane Vasic. Bane V. Vasic: Capacity of channels with redundant multitrack (d, k) constraints: the k<d case. (1996) authored by Bane Vasic. Dung Viet Nguyen et al.: Structured LDPC Codes from Permutation Matrices Free of Small Trapping Sets (2010) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Error Correction Capability of Column-Weight-Three LDPC Codes: Part II (2008) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Two-bit message passing decoders for LDPC codes over the binary symmetric channel. (2009) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: On the guaranteed error correction capability of LDPC codes. (2008) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Analysis of error floors of LDPC codes under LP decoding over the BSC. (2009) authored by Bane Vasic. Mehrdad Khatami et al.: GBP-based detection and symmetric information rate for rectangular-grain TDMR model. (2014) authored by Bane Vasic. Shiva Kumar Planjery et al.: Multilevel decoders surpassing belief propagation on the binary symmetric channel. (2010) authored by Bane Vasic. Vida Ravanmehr et al.: Check-hybrid GLDPC codes: Systematic elimination of trapping sets by super checks. (2014) authored by Bane Vasic. Nithin Raveendran et al.: Syndrome-Generalized Belief Propagation Decoding for Quantum Memories. (2019) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Error Floors of LDPC Codes on the Binary Symmetric Channel. (2006) authored by Bane Vasic. Milos Ivkovic et al.: Modeling Errors in Long-Haul Optical Fiber Transmission Systems by Using Instantons and Edgeworth Expansion. (2007) authored by Bane Vasic. Bane Vasic: A graph based construction of high-rate soft decodable codes for partial response channels. (2001) authored by Bane Vasic. Bane Vasic and Ivan B. Djordjevic: A forward error correction scheme for ultra long haul optical transmission systems based on low-density parity-check codes. (2003) authored by Bane Vasic. Dung Viet Nguyen et al.: Short column-weight-three LDPC codes without small trapping sets. (2010) authored by Bane Vasic. Bane Vasic et al.: Trapping set ontology. (2009) authored by Bane Vasic. Xin Xiao et al.: Serial concatenation of reed muller and LDPC codes with low error floor. (2017) authored by Bane Vasic. Mohsen Bahrami and Bane Vasic: Generalized Belief Propagation Based Deliberate Bit Flipping Modulation Coding. (2016) authored by Bane Vasic. Mehrdad Khatami et al.: Information Rates of Constrained TDMR Channels Using Generalized Belief Propagation. (2015) authored by Bane Vasic. Anantha Raman Krishnan et al.: LDPC Decoding Strategies for Two-Dimensional Magnetic Recording. (2009) authored by Bane Vasic. Vida Ravanmehr and Bane Vasic: Quasi-cyclic codes exhibiting the gene regulatory network of the cell cycle. (2012) authored by Bane Vasic. Khoa Le et al.: Efficient realization of probabilistic gradient descent bit flipping decoders. (2015) authored by Bane Vasic. Fang Cai et al.: Low-complexity finite alphabet iterative decoders for LDPC codes. (2013) authored by Bane Vasic. Khoa Le et al.: Hardware optimization of the perturbation for probabilistic gradient descent bit flipping decoders. (2017) authored by Bane Vasic. Dimitris Chytas et al.: Quaternary-Binary Message-Passing Decoder for Quantum LDPC Codes. (2023) authored by Bane Vasic. Ivan B. Djordjevic et al.: LDPC-Coded MIMO Optical Communication Over the Atmospheric Turbulence Channel. (2007) authored by Bane Vasic. Chaitanya Kumar Matcha et al.: Two-dimensional noise-predictive maximum likelihood method for magnetic recording channels. (2014) authored by Bane Vasic. Fakhreddine Ghaffari et al.: Efficient FPGA implementation of probabilistic gallager B LDPC decoder. (2017) authored by Bane Vasic. Nithin Raveendran et al.: A Sub-Graph Expansion-Contraction Method for Error Floor Computation. (2020) authored by Bane Vasic. Lingling Pu et al.: Unequal error protection and progressive decoding for JPEG2000. (2007) authored by Bane Vasic. Srdan Brkic et al.: Reliability of Memories Built From Unreliable Components Under Data-Dependent Gate Failures. (2015) authored by Bane Vasic. Srdan Brkic et al.: Adaptive Gradient Descent Bit-Flipping Diversity Decoding. (2022) authored by Bane Vasic. Ivan B. Djordjevic and Bane Vasic: MacNeish-Mann theorem based iteratively decodable codes for optical communication systems. (2004) authored by Bane Vasic. Elsa Dupraz et al.: Asymptotic Error Probability of the Gallager B Decoder Under Timing Errors. (2017) authored by Bane Vasic. Nithin Raveendran et al.: Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound. (2022) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Sets of Quantum LDPC Codes. (2021) authored by Bane Vasic. Narayanan Rengaswamy et al.: Entanglement Purification with Quantum LDPC Codes and Iterative Decoding. (2024) authored by Bane Vasic. Predrag Ivanis et al.: Suspicion Distillation Gradient Descent Bit-Flipping Algorithm. (2022) authored by Bane Vasic. Bata Vasic and Bane Vasic: Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes. (2013) authored by Bane Vasic. Shiva Kumar Planjery et al.: Enhancing the Error Correction of Finite Alphabet Iterative Decoders via Adaptive Decimation (2012) authored by Bane Vasic. Ivan B. Djordjevic et al.: Coding for Optical Channels. (2010) authored by Bane Vasic. Khoa Le et al.: A Probabilistic Parallel Bit-Flipping Decoder for Low-Density Parity-Check Codes. (2019) authored by Bane Vasic. Bane Vasic and Shashi Kiran Chilappagari: An Information Theoretical Framework for Analysis and Design of Nanoscale Fault-Tolerant Memories Based on Low-Density Parity-Check Codes. (2007) authored by Bane Vasic. Elsa Dupraz et al.: Analysis and Design of Finite Alphabet Iterative Decoders Robust to Faulty Hardware. (2014) authored by Bane Vasic. Shashi Kiran Chilappagari and Bane Vasic: Reliable Memories Built from Unreliable Components Based on Expander Graphs (2007) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: On the guaranteed error correction capability of LDPC codes (2008) authored by Bane Vasic. Narayanan Rengaswamy et al.: Entanglement Purification with Quantum LDPC Codes and Iterative Decoding. (2022) authored by Bane Vasic. Sana Javed et al.: Low-Complexity Linear Programming Based Decoding of Quantum LDPC codes. (2023) authored by Bane Vasic. Sudarshan Adiga et al.: Generalization Bounds for Neural Belief Propagation Decoders. (2023) authored by Bane Vasic. Shashi Kiran Chilappagari and Bane Vasic: Error Correction Capability of Column-Weight-Three LDPC Codes (2007) authored by Bane Vasic. Nithin Raveendran and Bane Vasic: Trapping Sets of Quantum LDPC Codes. (2020) authored by Bane Vasic. Srdan Brkic et al.: Message-aggregation enhanced iterative hard-decision decoders. (2016) authored by Bane Vasic. David Declercq et al.: Finite alphabet iterative decoders approaching maximum likelihood performance on the Binary Symmetric Channel. (2012) authored by Bane Vasic. Elsa Dupraz et al.: Analysis of Taylor-Kuznetsov memory using one-step majority logic decoder. (2015) authored by Bane Vasic. Seyed Mehrdad Khatami et al.: An efficient exhaustive low-weight codeword search for structured LDPC codes. (2013) authored by Bane Vasic. Shiva Kumar Planjery et al.: Iterative decoding beyond belief propagation. (2010) authored by Bane Vasic. Vida Ravanmehr et al.: Check-hybrid GLDPC codes without small trapping sets. (2014) authored by Bane Vasic. Bane Vasic et al.: Multi-bit flipping algorithms with probabilistic gradient descent. (2017) authored by Bane Vasic. Bane Vasic et al.: Fault-resilient decoders and memories made of unreliable components. (2015) authored by Bane Vasic. Bane Vasic et al.: Approaching maximum likelihood performance of LDPC codes by stochastic resonance in noisy iterative decoders. (2016) authored by Bane Vasic. Bane Vasic et al.: Learning to Decode LDPC Codes with Finite-Alphabet Message Passing. (2018) authored by Bane Vasic. Xin Xiao et al.: Reed-Solomon-Based Quasi-Cyclic LDPC Codes: Designs, Cycle Structure and Erasure Correction. (2018) authored by Bane Vasic. Srdan Brkic et al.: On Fault Tolerance of the Gallager B Decoder Under Data-Dependent Gate Failures. (2015) authored by Bane Vasic. Dimitris Chytas et al.: Enhanced Message-Passing Decoding of Degenerate Quantum Codes Utilizing Trapping Set Dynamics. (2024) authored by Bane Vasic. Lingling Pu et al.: LDPC-Based Iterative Joint Source-Channel Decoding for JPEG2000. (2007) authored by Bane Vasic. Elsa Dupraz et al.: Analysis and Design of Finite Alphabet Iterative Decoders Robust to Faulty Hardware. (2015) authored by Bane Vasic. Shiva Kumar Planjery et al.: Finite Alphabet Iterative Decoders - Part I: Decoding Beyond Belief Propagation on the Binary Symmetric Channel. (2013) authored by Bane Vasic. Xin Xiao et al.: Reed-Solomon Based Quasi-Cyclic LDPC Codes: Designs, Girth, Cycle Structure, and Reduction of Short Cycles. (2019) authored by Bane Vasic. Mohsen Bahrami and Bane Vasic: A Deliberate Bit Flipping Coding Scheme for Data-Dependent Two-Dimensional Channels. (2020) authored by Bane Vasic. Dung Viet Nguyen and Bane Vasic: Two-Bit Bit Flipping Algorithms for LDPC Codes and Collective Error Correction. (2014) authored by Bane Vasic. Stojan Z. Denic et al.: Information Theoretic Modeling and Analysis for Global Interconnects With Process Variations. (2011) authored by Bane Vasic. Milos Ivkovic et al.: Eliminating Trapping Sets in Low-Density Parity-Check Codes by Using Tanner Graph Covers. (2008) authored by Bane Vasic. Olgica Milenkovic and Bane Vasic: Permutation (d, k) codes: Efficient enumerative coding and phrase length distribution shaping. (2000) authored by Bane Vasic. Bane V. Vasic et al.: Shannon Capacity of M-ary Redundant Multitrack Runlength Limited Codes. (1998) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: On trapping sets and guaranteed error correction capability of LDPC codes and GLDPC codes. (2010) authored by Bane Vasic. Shashi Kiran Chilappagari and Bane Vasic: Error-correction capability of column-weight-three LDPC codes. (2009) authored by Bane Vasic. Bane V. Vasic: Spectral Analysis of Maximum Entropy Multitrack Modulation Codes. (1998) authored by Bane Vasic. Bane Vasic and Olgica Milenkovic: Combinatorial Constructions of Low-Density Parity-Check Codes for Iterative Decoding. (2004) authored by Bane Vasic. Xin Xiao et al.: FAID Diversity via Neural Networks. (2021) authored by Bane Vasic. Lingling Pu et al.: Joint Source-Channel Rate Allocation in Parallel Channels. (2007) authored by Bane Vasic. Mona Nasseri et al.: Globally Coupled Finite Geometry and Finite Field LDPC Coding Schemes. (2021) authored by Bane Vasic. David Declercq et al.: Finite Alphabet Iterative Decoders - Part II: Towards Guaranteed Error Correction of LDPC Codes via Iterative Decoder Diversity. (2013) authored by Bane Vasic. Xin Xiao et al.: Quasi-Cyclic LDPC Codes With Parity-Check Matrices of Column Weight Two or More for Correcting Phased Bursts of Erasures. (2021) authored by Bane Vasic. Xin Xiao et al.: Designing Finite Alphabet Iterative Decoders of LDPC Codes Via Recurrent Quantized Neural Networks. (2020) authored by Bane Vasic. Ivan B. Djordjevic and Bane Vasic: Performance of affine geometry low-density parity-check codes in long-haul optical communications. (2004) authored by Bane Vasic. Vida Ravanmehr et al.: Check-hybrid GLDPC codes: Systematic elimination of trapping sets and guaranteed error correction capability. (2016) authored by Bane Vasic. Lara Dolecek et al.: Guest Editorial Communication Methodologies for the Next-Generation Storage Systems. (2014) authored by Bane Vasic. Sedat Ölçer et al.: Guest Editorial Data Communication Techniques for Storage Channels and Networks. (2010) authored by Bane Vasic. Shayan Garani Srinivasa et al.: Guest Editorial Channel Modeling, Coding and Signal Processing for Novel Physical Memory Devices and Systems. (2016) authored by Bane Vasic. Vida Ravanmehr et al.: Interval-Passing Algorithm for Non-Negative Measurement Matrices: Performance and Reconstruction Analysis. (2012) authored by Bane Vasic. Predrag Ivanis and Bane Vasic: Error Errore Eicitur: A Stochastic Resonance Paradigm for Reliable Storage of Information on Unreliable Media. (2016) authored by Bane Vasic. Bane Vasic et al.: High-rate girth-eight low-density parity-check codes on rectangular integer lattices. (2004) authored by Bane Vasic. Srdan Brkic et al.: Majority Logic Decoding Under Data-Dependent Logic Gate Failures. (2017) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Error correction capability of column-weight-three LDPC codes under the Gallager A algorithm-Part II. (2010) authored by Bane Vasic. Dung Viet Nguyen et al.: On the Construction of Structured LDPC Codes Free of Small Trapping Sets. (2012) authored by Bane Vasic. Lucile Sassatelli et al.: Two-Bit Message Passing Decoders for LDPC Codes Over the Binary Symmetric Channel (2009) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Instanton-based Techniques for Analysis and Reduction of Error Floors of LDPC Codes (2009) authored by Bane Vasic. Mikhail G. Stepanov et al.: Diagnosis of weaknesses in modern error correction codes: a physics approach (2005) authored by Bane Vasic. Alexandru Amaricai et al.: A Log-Likelihood Ratio based Generalized Belief Propagation. (2019) authored by Bane Vasic. David Declercq et al.: Noise-aided gradient descent bit-flipping decoders approaching maximum likelihood decoding. (2016) authored by Bane Vasic. Madiagne Diouf et al.: Improved PEG construction of large girth QC-LDPC codes. (2016) authored by Bane Vasic. Elsa Dupraz et al.: Finite alphabet iterative decoders robust to faulty hardware: Analysis and selection. (2014) authored by Bane Vasic. Jovan Milojkovic et al.: Learning to Decode Linear Block Codes using Adaptive Gradient-Descent Bit-Flipping. (2023) authored by Bane Vasic. Shiva Kumar Planjery et al.: On the guaranteed error-correction of decimation-enhanced iterative decoders. (2014) authored by Bane Vasic. Asit Kumar Pradhan et al.: Learning to Decode Trapping Sets in QLDPC Codes. (2023) authored by Bane Vasic. Vida Ravanmehr et al.: Signal recovery performance of the interval-passing algorithm. (2012) authored by Bane Vasic. Nithin Raveendran et al.: Turbo-XZ Algorithm: Low-Latency Decoders for Quantum LDPC Codes. (2023) authored by Bane Vasic. Narayanan Rengaswamy et al.: GHZ Distillation using Quantum LDPC Codes. (2023) authored by Bane Vasic. Xin Xiao et al.: FAID Diversity via Neural Networks. (2021) authored by Bane Vasic. Xin Xiao et al.: Girth-Eight Reed-Solomon Based QC-LDPC Codes. (2018) authored by Bane Vasic. Lu Pan et al.: Viterbi Detection for Compressively Sampled FHSS-GFSK Signals. (2015) authored by Bane Vasic. Ivan B. Djordjevic and Bane Vasic: Combinatorial constructions of optical orthogonal codes for OCDMA systems. (2004) authored by Bane Vasic. Javier Valls et al.: Syndrome-Based Min-Sum vs OSD-0 Decoders: FPGA Implementation and Analysis for Quantum LDPC Codes. (2021) authored by Bane Vasic. Mehrdad Khatami and Bane Vasic: Detection for Two-Dimensional Magnetic Recording Systems. (2013) authored by Bane Vasic. Dung Viet Nguyen et al.: Two-Bit Bit Flipping Decoding of LDPC Codes (2011) authored by Bane Vasic. Narayanan Rengaswamy et al.: Distilling GHZ States using Stabilizer Codes. (2021) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: On Trapping Sets and Guaranteed Error Correction Capability of LDPC Codes and GLDPC Codes (2008) authored by Bane Vasic. Ivan B. Djordjevic and Bane Vasic: Iteratively decodable codes from orthogonal arrays for optical communication systems. (2005) authored by Bane Vasic. Ivan B. Djordjevic et al.: Multi-weight unipolar codes for multimedia spectral-amplitude-coding optical CDMA systems. (2004) authored by Bane Vasic. Omran Al Rasheed et al.: Fault-Tolerant Probabilistic Gradient-Descent Bit Flipping Decoder. (2014) authored by Bane Vasic. Goran T. Djordjevic et al.: On the Effect of Imperfect Reference Signal Phase Recovery on Performance of PSK System Influenced by TWDP Fading. (2023) authored by Bane Vasic. Ludovic Danjean et al.: Interval-Passing Algorithm for Chemical Mixture Estimation. (2013) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Instanton-based techniques for analysis and reduction of error floors of LDPC codes. (2009) authored by Bane Vasic. Bane Vasic et al.: Loose composite constraint codes and their application in DVD. (2001) authored by Bane Vasic. Fang Cai et al.: Finite Alphabet Iterative Decoders for LDPC Codes: Optimization, Architecture and Analysis. (2014) authored by Bane Vasic. Khoa Le et al.: Efficient Hardware Implementation of Probabilistic Gradient Descent Bit-Flipping. (2017) authored by Bane Vasic. Burak Unal et al.: Hardware Implementation and Performance Analysis of Resource Efficient Probabilistic Hard Decision LDPC Decoders. (2018) authored by Bane Vasic. Shiva Kumar Planjery et al.: Multilevel Decoders Surpassing Belief Propagation on the Binary Symmetric Channel (2010) authored by Bane Vasic. Michele Pacenti et al.: Progressive-Proximity Bit-Flipping for Decoding Surface Codes. (2024) authored by Bane Vasic. Nithin Raveendran et al.: Soft Syndrome Decoding of Quantum LDPC Codes for Joint Correction of Data and Syndrome Errors. (2022) authored by Bane Vasic. Shiva Kumar Planjery et al.: Finite Alphabet Iterative Decoders, Part I: Decoding Beyond Belief Propagation on BSC (2012) authored by Bane Vasic. Dung Viet Nguyen et al.: Selecting Two-Bit Bit Flipping Algorithms for Collective Error Correction (2012) authored by Bane Vasic. Milos Ivkovic et al.: Eliminating Trapping Sets in Low-Density Parity Check Codes by using Tanner Graph Covers (2008) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: LDPC Codes Which Can Correct Three Errors Under Iterative Decoding (2008) authored by Bane Vasic. Dung Viet Nguyen et al.: LDPC Codes from Latin Squares Free of Small Trapping Sets (2010) authored by Bane Vasic. Nithin Raveendran et al.: Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound. (2021) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Worst Configurations (Instantons) for Compressed Sensing over Reals: a Channel Coding Approach (2010) authored by Bane Vasic. Shashi Kiran Chilappagari et al.: Low-Density Parity-Check Codes Which Can Correct Three Errors Under Iterative Decoding (2008) authored by Bane Vasic. Vida Ravanmehr et al.: Check-hybrid GLDPC Codes: Systematic Elimination of Trapping Sets and Guaranteed Error Correction Capability. (2016) authored by Bane Vasic. Jaime Anguita et al.: Bethe Free Energy Approach to LDPC Decoding on Memory Channels (2009) authored by Bane Vasic. Srdan Brkic et al.: Majority Logic Decoding under Data-Dependent Logic Gate Failures. (2015) authored by Bane Vasic. Shiva Kumar Planjery et al.: Decimation-Enhanced Finite Alphabet Iterative Decoders for LDPC codes on the BSC (2011) authored by Bane Vasic. David Declercq et al.: Finite Alphabet Iterative Decoders, Part II: Improved Guaranteed Error Correction of LDPC Codes via Iterative Decoder Diversity. (2012) authored by Bane Vasic. Bata Vasic et al.: Neuro-OSVETA: A Robust Watermarking of 3D Meshes. (2023) authored by Bane Vasic. Bata Vasic and Bane Vasic: Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes (2012) authored by Bane Vasic{'author_wikipedia_text': 'Bane Vasic is an engineer at the University of Arizona, Tucson. He was named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to coding theory and its applications in data storage systems and optical communications.\\\\n\\\\nThis article about an American electrical engineer is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_on_all_triples\": \"Bane Vasi<unk> has a written paper amount of 22 in 2012.\\nBane Vasi<unk> has a written paper amount of 17 in 2013.\\nBane Vasi<unk> has written paper amount in year 2014: 20.\\nBane Vasi<unk> has a written paper amount of 17 in 2015.\\nBane Vasi<unk> has a written paper amount of 16 in 2016.\\nBane Vasi<unk> has a written paper amount of 17 in 2017.\\nBane Vasi<unk> has a written paper amount of 9 in year 2018.\\nBane Vasi<unk> has a written paper amount of 9 in year 2019.\\nBane Vasi<unk> has a written paper amount of 4 in 2020.\\nBane Vasi<unk> has a written paper amount of 12 in year 2021.\\nBane Vasi<unk> has a written paper amount of 7 in year 2022.\\nBane Vasi<unk> has a written paper amount of 11 in year 2023.\\nBane Vasi<unk> has a 2YrMeanCitedness of 1.375.\\nBane Vasic is affiliated with the University of Ni<unk>, Serbia and the University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA.\\nBane Vasi<unk> is also known as \\\"Bane V. Vasic, Bane Vasi<unk>, B. Vasi<unk>, B. Vasic, B. V. Vasic\\\".\\n\\\"Shashi Kiran Chilappagari et al.: On the guaranteed error correction capability of LDPC codes. (2008), Shiva Kumar Planjery et al.: Finite Alphabet Iterative Decoders - Part I: Decoding Beyond Belief Propagation on the Binary Symmetric Channel. (2013), Javier Valls et al.: Syndrome-Based Min-Sum vs OSD-0 Decoders: FPGA Implementation and Analysis for Quantum \\nBane Vasi<unk> has a ByCount of 6184.\\nPaul H. Siegel et al.: Advances in Information Recording, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, March 22-24, 2004 (2008) was edited by Bane Vasic.\\nBane Vasi<unk> has a h-index of 41.\\nBane Vasi<unk> has an i10Index of 123.\\nBane Vasi<unk> is the creator of Bane Vasic who is the author of Bane Vasi<unk>.\\nBane Vasic's link is https://ece.engineering.arizona.edu/faculty-staff/faculty/bane-vasic. It is also linked to https://ecl.silicon-studio.com/ and https://en.wikipedia.org/wiki/Bane_Vasic.\\nBane Vasi<unk> is a member of the University of Arizona.\\nBane Vasi<unk> was modified on 2023-10-18.\\nBane Vasi<unk> is the name given to Bane Vasi<unk>.\\nBane Vasi<unk> can be found at https://orcid.org/0000-0003-2365-4106.\\nBane Vasic's primary affiliation is the University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA.\\nBane Vasi<unk> has 425 works.{'author_wikipedia_text': 'Bane Vasic is an engineer at the University of Arizona, Tucson. He was named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to coding theory and its applications in data storage systems and optical communications.\\\\n\\\\nThis article about an American electrical engineer is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_plus_evidence_matching\": \"Bane Vasic is affiliated with the University of Ni<unk>, Serbia.\\n\\\"Dung Viet Nguyen et al.: LDPC Codes from Latin Squares Free of Small Trapping Sets (2010), Olgica Milenkovic and Bane Vasic: Information theory and coding problems in genetics. (2004), Nithin Raveendran et al.: Syndrome-Generalized Belief Propagation Decoding for Quantum Memories. (2019), Bane Vasic et al.: An Information Theoretic Approach to Constructing Rob\\nPaul H. Siegel et al.: Advances in Information Recording, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, March 22-24, 2004 (2008) was edited by Bane Vasic.\\nThe link to Bane Vasic is https://ece.engineering.arizona.edu/faculty-staff/faculty/bane-vasic and also http://www.wikidata.org/entity/Q29478862. He was named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to coding theory and its applications in data storage systems and optical communications. {'author_wikipedia_text': 'Bane Vasic is an engineer at the University of Arizona, Tucson\"\n}"}}},{"rowIdx":80,"cells":{"id":{"kind":"string","value":"14816a7d-0993-4255-8482-256fc02f9d63"},"triples_number":{"kind":"number","value":181,"string":"181"},"question":{"kind":"string","value":"What is the number of publication citations for the affiliation of the author of 'Prolog, Refinements and RLGG's'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"0.20000000298023223877\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"University of New South Wales, Sydney, Australia\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"C A Sammut\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Claude Sammut\"\n },\n {\n \"object\": \"C. 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(2010) authored by Claude Sammut. Claude Sammut: Genetic and Evolutionary Algorithms. (2010) authored by Claude Sammut. Claude Sammut: Greedy Search. (2010) authored by Claude Sammut. Claude Sammut: Learning as Search. (2010) authored by Claude Sammut. Claude Sammut: Markov Chain Monte Carlo. (2010) authored by Claude Sammut. Claude Sammut: Behavioral Cloning. (2017) authored by Claude Sammut. Claude Sammut: Concept Learning. (2017) authored by Claude Sammut. Claude Sammut: Credit Assignment. (2017) authored by Claude Sammut. Claude Sammut: Density Estimation. (2017) authored by Claude Sammut. Claude Sammut: Generalization. (2017) authored by Claude Sammut. Claude Sammut: Genetic and Evolutionary Algorithms. (2017) authored by Claude Sammut. Claude Sammut: Subsumption. (2017) authored by Claude Sammut. Claude Sammut and Michael Bonnell Harries: Concept Drift. (2017) authored by Claude Sammut. Timothy Wiley et al.: Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. (2014) authored by Claude Sammut. Andrew Isaac and Claude Sammut: Goal-directed Learning to Fly. (2003) authored by Claude Sammut. Claude Sammut: Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. (1988) authored by Claude Sammut. Ben Rudzyn et al.: Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. (2007) authored by Claude Sammut. Claude Sammut: Beam Search. (2010) authored by Claude Sammut. Claude Sammut: Density Estimation. (2010) authored by Claude Sammut. Claude Sammut: Subsumption. (2010) authored by Claude Sammut. Claude Sammut: Version Space. (2010) authored by Claude Sammut. Claude Sammut: Beam Search. (2017) authored by Claude Sammut. Claude Sammut: Greedy Search. (2017) authored by Claude Sammut. Claude Sammut: Learning as Search. (2017) authored by Claude Sammut. Claude Sammut: Markov Chain Monte Carlo. (2017) authored by Claude Sammut. Claude Sammut: Version Space. (2017) authored by Claude Sammut. Claude Sammut and Michael Bonnell Harries: Concept Drift. (2010) authored by Claude Sammut. Claude Sammut and Brian Cohen: A Language for Describing Concepts as Programs. (1979) authored by Claude Sammut. Claude Sammut et al.: Learning to Fly. (1992) authored by Claude Sammut. Brett Squires and Claude Sammut: Automatic Speaker Recognition: An Application of Machine Learning. (1995) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Material classification by tactile sensing using surface textures. (2010) authored by Claude Sammut. Adam Milstein et al.: Occupancy voxel metric based iterative closest point for position tracking in 3D environments. (2011) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Slip prediction using Hidden Markov models: Multidimensional sensor data to symbolic temporal pattern learning. (2012) authored by Claude Sammut. Mohammed Waleed Kadous et al.: Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. (2006) authored by Claude Sammut. Adnan Amin et al.: Hand Printed Chinese Character Recognition via Machine Learning. (1997) authored by Claude Sammut. Domenic Ziino et al.: Recognition of hand printed Latin characters using machine learning. (1995) authored by Claude Sammut. Bernhard Hengst et al.: Perceptual Context in Cognitive Hierarchies. (2019) authored by Claude Sammut. David Rajaratnam et al.: Composability in Cognitive Hierarchies. (2016) authored by Claude Sammut. Claude Sammut: Robot Soccer: Science or Just Fun and Games? (2003) authored by Claude Sammut. Wentao Lu and Claude Sammut: D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. (2022) authored by Claude Sammut. Keith Clark et al.: A Framework for Integrating Symbolic and Sub-Symbolic Representations. (2016) authored by Claude Sammut. G. M. Shiraz and Claude Sammut: Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems. (1997) authored by Claude Sammut. Peter Clark et al.: Panel: Applications of Machine Learning: Notes from the Panel Members. (1991) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: Constructive Induction for Classifying Time Series. (2004) authored by Claude Sammut. Claude Sammut and Tatjana Zrimec: Learning to Classify X-Ray Images Using Relational Learning. (1998) authored by Claude Sammut. Dorian Suc et al.: Learning to Fly Simple and Robust. (2004) authored by Claude Sammut. Ornnalin Phaijit et al.: A Taxonomy of Functional Augmented Reality for Human-Robot Interaction. (2022) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: MICA: Pervasive Middleware for Learning, Sharing and Talking. (2004) authored by Claude Sammut. Reza Farid and Claude Sammut: Region-Based Object Categorisation Using Relational Learning. (2014) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: InCA: A Mobile Conversational Agent. (2004) authored by Claude Sammut. Mojtaba Maghrebi et al.: Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method. (2013) authored by Claude Sammut. Adrian Ratter et al.: GPU accelerated graph SLAM and occupancy voxel based ICP for encoder-free mobile robots. (2013) authored by Claude Sammut. Claude Sammut and Tak Fai Yik: Multistrategy Learning for Robot Behaviours. (2010) authored by Claude Sammut. Mohammed Waleed Kadous et al.: Effective user interface design for rescue robotics. (2006) authored by Claude Sammut. Ornnalin Phaijit et al.: A Demonstration of the Taxonomy of Functional Augmented Reality for Human-Robot Interaction. (2022) authored by Claude Sammut. Claude Sammut and Achim G. Hoffmann: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 (2002) edited by Claude Sammut. David Humme and Claude Sammut: Using Inverse Resolution to Learn Relations from Experiments. (1991) authored by Claude Sammut. Eduardo F. Morales and Claude Sammut: Learning to fly by combining reinforcement learning with behavioural cloning. (2004) authored by Claude Sammut. Claude Sammut and James Cribb: Is Learning Rate a Good Performance Criterion for Learning? (1990) authored by Claude Sammut. Oleg O. Sushkov and Claude Sammut: Local image feature matching for object recognition. (2010) authored by Claude Sammut. Claude Sammut and Bernhard Hengst: The Evolution of a Robot Soccer Team. (2001) authored by Claude Sammut. Anurag Kumar Gupta et al.: MMIF: A Modular Architecture for Multimodal Integration. (2003) authored by Claude Sammut. Stan Matwin and Claude Sammut: Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers (2003) edited by Claude Sammut. Solly Brown and Claude Sammut: A Relational Approach to Tool-Use Learning in Robots. (2012) authored by Claude Sammut. Claude Sammut: Prolog, Refinements and RLGG's. (1998) authored by Claude Sammut. Claude Sammut et al.: The Robot Engineer. (2015) authored by Claude Sammut. Yao Liu et al.: Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. (2023) authored by Claude Sammut. Solly Brown and Claude Sammut: Tool Use Learning in Robots. (2011) authored by Claude Sammut. Matthew McGill et al.: Virtual reconstruction using an autonomous robot. (2012) authored by Claude Sammut. Oleg O. Sushkov and Claude Sammut: Active robot learning of object properties. (2012) authored by Claude Sammut. Jingcheng Li et al.: Multi-agent Transformer Networks for Multimodal Human Activity Recognition. (2022) authored by Claude Sammut. Yao Liu et al.: Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. (2022) authored by Claude Sammut. Chao Sun et al.: Variance-wise Segmentation for a Temporal-Adaptive SAX. (2012) authored by Claude Sammut. Ashesh Mahidadia et al.: Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming. (1994) authored by Claude Sammut. Michael Bain and Claude Sammut: A Framework for Behavioural Cloning. (1995) authored by Claude Sammut. Michael McGarity et al.: Controlling a steel mill with BOXES. (1993) authored by Claude Sammut. Donald Michie and Claude Sammut: Behavioural clones and cognitive skill models. (1993) authored by Claude Sammut. Claude Sammut: Recent progress with BOXES. (1992) authored by Claude Sammut. Hans-Dieter Burkhard et al.: RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. (2003) authored by Claude Sammut. Brad Hall et al.: RoboCup SPL 2015 Champion Team Paper. (2015) authored by Claude Sammut. Son Bao Pham et al.: Stochastic Gradient Descent Localisation in Quadruped Robots. (2001) authored by Claude Sammut. Timothy Wiley et al.: Spatial Correlation of Multi-sensor Features for Autonomous Victim Identification. (2011) authored by Claude Sammut. Tatjana Zrimec and Claude Sammut: Knowledge Representation for Model-Based Image Processing in Medicine. (1995) authored by Claude Sammut. Claude Sammut: Concept Learning by Experiment. (1981) authored by Claude Sammut. Claude Sammut: The Child Machine vs the World Brain. (2013) authored by Claude Sammut. B. L. Cohen and Claude Sammut: CONFUCIUS: A Structural Concept Learning System. (1979) authored by Claude Sammut. Claude Sammut: Concept development for Expert System Knowledge Bases. (1985) authored by Claude Sammut. R. A. Sammut and Claude Sammut: PROLOG: A Tutorial Introduction. (1983) authored by Claude Sammut. Claude Sammut and R. A. Sammut: The Implementation of UNSW-PROLOG. (1983) authored by Claude Sammut. Brian Cohen and Claude Sammut: Object recognition and concept learning with CONFUCIUS. (1982) authored by Claude Sammut. Wentao Lu and Claude Sammut: D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation. (2021) authored by Claude Sammut. Daniele Nardi et al.: RoboCup 2004: Robot Soccer World Cup VIII (2005) edited by Claude Sammut. Hidehisa Akiyama et al.: RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]. (2018) edited by Claude Sammut. Jayen Ashar et al.: RoboCup SPL 2014 Champion Team Paper. (2014) authored by Claude Sammut. Spencer Chen et al.: The UNSW RoboCup 2001 Sony Legged Robot League Team. (2001) authored by Claude Sammut. Bernhard Hengst et al.: The UNSW RoboCup 2000 Sony Legged League Team. (2000) authored by Claude Sammut. Bernhard Hengst et al.: Omnidirectional Locomotion for Quadruped Robots. (2001) authored by Claude Sammut. Wentao Lu et al.: Object Recognition with Class Conditional Gaussian Mixture Model - A Statistical Learning Approach. (2022) authored by Claude Sammut. Timothy Wiley et al.: A Machine Learning System for Controlling a Rescue Robot. (2017) authored by Claude Sammut. Timothy Wiley et al.: Qualitative Simulation with Answer Set Programming. (2014) authored by Claude Sammut. Claude Sammut and Donald Michie: Controlling a Black-Box Simulation of a Spacecraft. (1991) authored by Claude Sammut. Kenji Brameld et al.: Human-Centric Goal Reasoning with Ripple-Down Rules. (2024) authored by Claude Sammut. Raymond Ka-Man Sheh et al.: Behavioural cloning for driving robots over rough terrain. (2011) authored by Claude Sammut. Germán Castro and Claude Sammut: Learning footstep planning on irregular surfaces with partial placements. (2019) authored by Claude Sammut. Adrian Ratter and Claude Sammut: Fused 2D/3D position tracking for robust SLAM on mobile robots. (2015) authored by Claude Sammut. Adnan Amin et al.: Learning to Recognize Hand-Printed Chinese Charaters Using Inductive Logic Programming. (1996) authored by Claude Sammut. Yi-Ling Hwong et al.: What makes you tick? The psychology of social media engagement in space science communication. (2017) authored by Claude Sammut. Claude Sammut et al.: Robot Learning Constrained by Planning and Reasoning. (2010) authored by Claude Sammut. Ornnalin Phaijit et al.: Let's Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception. (2022) authored by Claude Sammut. Ornnalin Phaijit et al.: User Interface Interventions for Improving Robot Learning from Demonstration. (2023) authored by Claude Sammut. Yao Liu et al.: Interpolation graph convolutional network for 3D point cloud analysis. (2022) authored by Claude Sammut. Claire D'Este and Claude Sammut: Learning and generalising semantic knowledge from object scenes. (2008) authored by Claude Sammut. Bernhard Hengst et al.: Online Learning and Planning in Cognitive Hierarchies. (2023) authored by Claude Sammut. Claude Sammut: Automatic construction of reactive control systems using symbolic machine learning. (1996) authored by Claude Sammut. Mojtaba Maghrebi et al.: Column Generation-Based Approach for Solving Large-Scale Ready Mixed Concrete Delivery Dispatching Problems. (2016) authored by Claude Sammut. Mojtaba Maghrebi et al.: Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete-Dispatching Problems. (2016) authored by Claude Sammut. Daniel Aaron Moses et al.: Peripheral bronchial identification on chest CT using unsupervised machine learning. (2018) authored by Claude Sammut. Daniel Aaron Moses et al.: Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. (2016) authored by Claude Sammut. Reza Farid and Claude Sammut: Plane-based object categorisation using relational learning. (2014) authored by Claude Sammut. Michael Bonnell Harries et al.: Extracting Hidden Context. (1998) authored by Claude Sammut. Mohammed Waleed Kadous and Claude Sammut: Classification of Multivariate Time Series and Structured Data Using Constructive Induction. (2005) authored by Claude Sammut. Stephen H. Muggleton et al.: Meta-Interpretive Learning from noisy images. (2018) authored by Claude Sammut. Duncan Potts and Claude Sammut: Incremental Learning of Linear Model Trees. (2005) authored by Claude Sammut. Claude Sammut: Using Background Knowledge to Build Multistrategy Learners. (1997) authored by Claude Sammut. Nawid Jamali and Claude Sammut: Majority Voting: Material Classification by Tactile Sensing Using Surface Texture. (2011) authored by Claude Sammut. Adam Milstein et al.: A method for fast encoder-free mapping in unstructured environments. (2011) authored by Claude Sammut. Claude Sammut: Managing Context in a Conversational Agent. (2001) authored by Claude Sammut. Bernhard Hengst et al.: Perceptual Context in Cognitive Hierarchies. (2018) authored by Claude Sammut. Jingcheng Li et al.: Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. (2023) authored by Claude Sammut. Yao Liu et al.: Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. (2023) authored by Claude Sammut. Claude Sammut et al.: Logic-based Robotics. (2022) authored by Claude Sammut{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012.'}\",\n \"verbalizer_on_all_triples\": \"Claude Sammut wrote 10 papers in 2012.\\nClaude Sammut wrote 9 papers in 2013.\\nClaude Sammut wrote 9 papers in 2014.\\nClaude Sammut wrote 9 papers in 2015.\\nClaude Sammut wrote 5 papers in 2016.\\nClaude Sammut wrote 16 papers in 2017.\\nClaude Sammut's written paper amount in year 2018 is 9 pages.\\nClaude Sammut's written paper amount in year 2019 is 3,.\\nClaude Sammut's written paper amount in year 2020 is 1.00.\\nClaude Sammut's written paper amount in year2021 is 4.\\nClaude Sammut's written paper amount in year 2022 is 8.\\nClaude Sammut's written paper amount in year2023 is 3.\\nClaude Sammut has a 2YrMeanCitedness of 0.20000000298023223877.\\nClaude Sammut is affiliated with the University of New South Wales, Sydney, Australia.\\nClaude Sammut's alternative names are C. Sammut and C. A. Sammut.\\nClaude Sammut: Markov Chain Monte Carlo. (2017), Brett Squires and Claude Sammut: Automatic Speaker Recognition: An Application of Machine Learning. (1995), Chao Sun et al.: Variance-wise Segmentation for a Temporal-Adaptive SAX. (2012), Yi-Ling Hwong et al.: What makes you tick? The psychology of social media engagement in space science communication. (2017), Donald Michie and Claude Sammut: Behaviour\\nClaude Sammut is cited by ByCount 2929.\\nClaude Sammut and Geoffrey I. Webb: Encyclopedia of Machine Learning and Data Mining (2017), Stan Matwin and Achim G. Hoffmann: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 (2002), Daniele Nardi et al.: RoboCup 2004: Robot Soccer World Cup VIII (2005), Hidehisa Akiyama et al.: RoboCup 2017: Robot\\nClaude Sammut has an h-index of 24.\\nClaude Sammut has 53 i10Index.\\nClaude Sammut is the creator and the author of Claude Sammut.\\nClaude Sammut's link is http://www.wikidata.org/entity/Q5129016. He also has links to http://www.cse.unsw.edu.au/<unk>claude/ and https://en.wikipedia.org/wiki/Claude_Sammut.\\nClaude Sammut is a member of UNSW Sydney.\\nClaude Sammut was modified on 2023-10-18.\\nClaude Sammut's name is Claude Sammut.\\nClaude Sammut's orcidId is https://orcid.org/0000-0001-8873-5228.\\nClaude Sammut's primary affiliation is the University of New South Wales, Sydney, Australia.\\nClaude Sammut has 606 works.{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012.'}\",\n \"verbalizer_plus_evidence_matching\": \"Claude Sammut wrote 10 papers in 2012.\\nClaude Sammut wrote 5 papers in 2016.\\nClaude Sammut's written paper amount in year 2019 is 3,.\\nClaude Sammut's written paper amount in year2021 is 4.\\nClaude Sammut's written paper amount in year 2022 is 8.\\nClaude Sammut's written paper amount in year2023 is 3.\\nClaude Sammut and R. A. Sammut: The Implementation of UNSW-PROLOG. (1983) were the authors of Claude Sammut: Prolog, Refinements and RLGG's.\\nClaude Sammut is cited by ByCount 2929.\\nClaude Sammut's link is http://www.wikidata.org/entity/Q5129016.\\nClaude Sammut's primary affiliation is the University of New South Wales, Sydney, Australia.{'author_wikipedia_text': 'Claude Sammut is a professor of computer science and engineering at the University of New South Wales and Head of the Artificial Intelligence Research Group. He was appointed as a Trustee of RoboCup in 2012\"\n}"}}},{"rowIdx":81,"cells":{"id":{"kind":"string","value":"cd82841e-4df0-467f-acd1-fa017cc7fe82"},"triples_number":{"kind":"number","value":185,"string":"185"},"question":{"kind":"string","value":"What is the citedByCount of the author who collaborated with Justin M. Bradley on the publication Multi-Disciplinary Cyber-Physical Optimization for Unmanned Aircraft Systems in Infotech@Aerospace in the year 2012?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Ella M. Atkins\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Ella M. Atkins\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Ella M. Atkins\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Ella M. 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Atkins: Geofence Definition and Deconfliction for UAS Traffic Management. (2021)\"\n },\n {\n \"object\": \"Ella M. Atkins\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nan Li et al.: Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections. (2019)\"\n },\n {\n \"object\": \"Ella M. Atkins\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jeremy D. Castagno and Ella M. Atkins: Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection. (2018)\"\n },\n {\n \"object\": \"Ella M. Atkins\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hossein Rastgoftar and Ella M. Atkins: Resilient Continuum Deformation Coordination. (2019)\"\n },\n {\n \"object\": \"Ella M. Atkins\",\n \"predicate\": \"authored by\",\n \"subject\": \"Cosme A. Ochoa and Ella M. Atkins: Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. (2021)\"\n },\n {\n \"object\": \"Ella M. 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(2014) authored by Ella M. Atkins. Brandon T. Coloe and Ella M. Atkins: Cyber-physical optimization of small unmanned aircraft systems with thermal consideration. (2016) authored by Ella M. Atkins. Andrew T. Klesh et al.: Cyber-Physical Challenges for Space Systems. (2012) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Optimization and Control of Cyber-Physical Vehicle Systems. (2015) authored by Ella M. Atkins. Kelly Cohen et al.: Introduction: Enhancing Intelligence in Aerospace Systems. (2009) authored by Ella M. Atkins. Ella M. Atkins: Journal of Aerospace Information Systems 2022 Year-End Review. (2023) authored by Ella M. Atkins. Justin R. Rufa and Ella M. Atkins: Unmanned Aircraft System Navigation in the Urban Environment: A Systems Analysis. (2016) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Toward Continuous State-Space Regulation of Coupled Cyber-Physical Systems. (2012) authored by Ella M. Atkins. Ella M. 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Atkins: Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. (2022) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments. (2018) authored by Ella M. Atkins\\\\nShe is the editor-in-chief of the Journal of Aerospace Information Systems, published by the American Institute of Aeronautics and Astronautics. Durham Chair in Engineering, and is the editor-in-chief of the Journal of Aerospace Information Systems. {'author_wikipedia_text': \\\"Ella Marie Atkins is an American aerospace engineer whose research involves flight planning and the coordination of multiple unmanned aerial vehicles. Her dissertation, Plan Generation and Hard Real-time Execution with Application to Safe, Autonomous Flight, was jointly supervised by Kang G\",\n \"plain\": \"Ella M. Atkins is Author. Ella M. Atkins modified 2023-10-18. Ella M. Atkins citedByCount 7609. Ella M. Atkins written paper amount in year2012: 17. Ella M. Atkins written paper amount in year2012: 17. Ella M. Atkins written paper amount in year2013: 16. Ella M. Atkins written paper amount in year2013: 16. Ella M. Atkins written paper amount in year2014: 25. Ella M. Atkins written paper amount in year2014: 25. Ella M. Atkins written paper amount in year2015: 15. Ella M. Atkins written paper amount in year2015: 15. Ella M. Atkins written paper amount in year2016: 19. Ella M. Atkins written paper amount in year2016: 19. Ella M. Atkins written paper amount in year2017: 23. Ella M. Atkins written paper amount in year2017: 23. Ella M. Atkins written paper amount in year2018: 32. Ella M. Atkins written paper amount in year2018: 32. Ella M. Atkins written paper amount in year2019: 29. Ella M. Atkins written paper amount in year2019: 29. Ella M. Atkins written paper amount in year2020: 13. Ella M. Atkins written paper amount in year2020: 13. Ella M. Atkins written paper amount in year2021: 28. Ella M. Atkins written paper amount in year2021: 28. Ella M. Atkins written paper amount in year2022: 11. Ella M. Atkins written paper amount in year2022: 11. Ella M. Atkins written paper amount in year2023: 15. Ella M. Atkins written paper amount in year2023: 15. Ella M. Atkins worksCount 379. Ella M. Atkins name Ella M. Atkins. Ella M. Atkins member of Virginia Tech. Ella M. Atkins h-index 26. Ella M. Atkins 2YrMeanCitedness 1.2682926654815673828. Ella M. Atkins alternativeName E. Atkins. Ella M. Atkins alternativeName E. M. Atkins. Ella M. Atkins alternativeName Ella Atkins. Ella M. Atkins alternativeName Ella M. Atkins. Ella M. Atkins alternativeName Ella M. Atkins Atkins. Ella M. Atkins alternativeName Ella Marie Atkins. Ella M. Atkins alternativeName Ella. M. Atkins. Ella M. Atkins i10Index 92. Ella M. Atkins orcidId https://orcid.org/0000-0003-2132-6256. Ella M. Atkins is Creator. Ella M. Atkins is Person. Ella M. Atkins link http://www.wikidata.org/entity/Q98783171. Ella M. Atkins affiliation University of Michigan, Ann Arbor, USA. Ella M. Atkins link https://a2sys.engin.umich.edu/people/679-2/. Ella M. Atkins primary affiliation University of Michigan, Ann Arbor, USA. Ella M. Atkins link https://a2sys.engin.umich.edu/people/679-2/. Ella M. Atkins link https://scholar.google.com/citations?user=Qb2zwXUAAAAJ. Ella M. Atkins link https://mathgenealogy.org/id.php?id=108701. Ella M. Atkins link https://mathscinet.ams.org/mathscinet/MRAuthorID/816574. Ella M. Atkins link https://en.wikipedia.org/wiki/Ella_Atkins. Charles B. McVey et al.: Development of Iterative Scheduler to Planner Feedback. (1997) authored by Ella M. Atkins. Ella M. Atkins et al.: Expecting the Unexpected: Detecting and Reacting to Unplanned-for World States. (1996) authored by Ella M. Atkins. Ella M. Atkins: Physically-proximal human-robot collaboration for air and space applications. (2007) authored by Ella M. Atkins. Zhaojian Li et al.: Robust H∞ control for a class of networked uncertain systems with multiple channels subject to Markovian switching. (2015) authored by Ella M. Atkins. Ella M. Atkins et al.: Avoiding Failure via Pre-Planned Responses and Time-Bounded Planning. (1997) authored by Ella M. Atkins. Maxime Ransan and Ella M. Atkins: A Collaborative Model for Astronaut-Rover Exploration Teams. (2006) authored by Ella M. Atkins. Yu Yao et al.: Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. (2019) authored by Ella M. Atkins. Zhaojian Li et al.: Cloud aided semi-active suspension control. (2014) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Formal Specification of Continuum Deformation Coordination. (2019) authored by Ella M. Atkins. Haksun Li et al.: Resource allocation for a limited real-time agent. (2003) authored by Ella M. Atkins. Charles B. McVey et al.: Development of Iterative Real-time Scheduler to Planner Feedback. (1997) authored by Ella M. Atkins. Mark Nail et al.: Simplifying Aerial Manipulation Using Intentional Collisions. (2023) authored by Ella M. Atkins. Ella M. Atkins et al.: Plan Development using Local Probabilistic Models. (1996) authored by Ella M. Atkins. Zhaojian Li et al.: Cloud aided safety-based route planning. (2014) authored by Ella M. Atkins. John A. Broderick et al.: Supervisory traction control for a slipping UGV. (2013) authored by Ella M. Atkins. Brandon T. Coloe and Ella M. Atkins: Cyber-physical optimization of small unmanned aircraft systems with thermal consideration. (2016) authored by Ella M. Atkins. Wei Ren et al.: A survey of consensus problems in multi-agent coordination. (2005) authored by Ella M. Atkins. Jamie A. Lennon and Ella M. Atkins: Making Decisions about Motion. (2004) authored by Ella M. Atkins. Honguk Woo et al.: Design and Development Methodology for Resilient Cyber-Physical Systems. (2008) authored by Ella M. Atkins. Sweewarman Balachandran and Ella M. Atkins: An Autonomous Override System to Prevent Airborne Loss of Control. (2016) authored by Ella M. Atkins. Tarek F. Abdelzaher et al.: QoS Negotiation in Real-Time Systems and Its Application to Automated Flight Control. (1997) authored by Ella M. Atkins. Jianliang Yi et al.: Incorporating Resource Safety Verification to Executable Model-based Development for Embedded Systems. (2008) authored by Ella M. Atkins. Hossein Rastgoftar et al.: A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios. (2018) authored by Ella M. Atkins. Matthew Romano et al.: Experimental Evaluation of Continuum Deformation with a Five Quadrotor Team. (2019) authored by Ella M. Atkins. Yu Yao et al.: Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. (2021) authored by Ella M. Atkins. Steven Hong and Ella M. Atkins: Moving Sensor Video Image Processing Enhanced with Elimination of Ego Motion by Global Registration and SIFT. (2008) authored by Ella M. Atkins. Zhaojian Li et al.: Road Disturbance Estimation and Cloud-Aided Comfort-Based Route Planning. (2017) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Continuum Deformation of a Multiple Quadcopter Payload Delivery Team without Inter-Agent Communication. (2017) authored by Ella M. Atkins. Matthew Romano et al.: Experimental Evaluation of Continuum Deformation with a Five Quadrotor Team. (2018) authored by Ella M. Atkins. Matthew Romano et al.: Quadrotor Formation Flying Resilient to Abrupt Vehicle Failures via a Fluid Flow Navigation Function. (2022) authored by Ella M. Atkins. Ella M. Atkins et al.: Detecting and Reacting to Unplanned-for World States. (1997) authored by Ella M. Atkins. Ella M. Atkins et al.: Planning and Resource Allocation for Hard Real-Time, Fault-Tolerant Plan Execution. (1999) authored by Ella M. Atkins. Zachary Renwick et al.: A Reinforcement Learning Based Adaptive Supervisor for Multiple Model Adaptive Estimation and Control. (2018) authored by Ella M. Atkins. Yu Yao and Ella M. Atkins: The Smart Black Box: A Value-Driven Automotive Event Data Recorder. (2018) authored by Ella M. Atkins. Zhaojian Li et al.: Road anomaly estimation: Model based pothole detection. (2015) authored by Ella M. Atkins. Zhaojian Li et al.: Simultaneous road profile estimation and anomaly detection with an input observer and a jump diffusion process estimator. (2016) authored by Ella M. Atkins. Zhaojian Li et al.: Nonlinear control of semi-active suspension systems: A Quasi-Linear Control approach. (2016) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Unmanned vehicle mission planning given limited sensory information. (2017) authored by Ella M. Atkins. Justin R. Rufa and Ella M. Atkins: Sensor fusion for unmanned aircraft system navigation in an urban environment. (2014) authored by Ella M. Atkins. Ali Nasir et al.: Robust Science-Optimal Spacecraft Control for Circular Orbit Missions. (2020) authored by Ella M. Atkins. Yu Yao et al.: Unsupervised Traffic Accident Detection in First-Person Videos. (2019) authored by Ella M. Atkins. Yu Yao et al.: DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos. (2023) authored by Ella M. Atkins. Alec J. Ten Harmsel et al.: Emergency Flight Planning for an Energy-Constrained Multicopter. (2017) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Optimization and Control of Cyber-Physical Vehicle Systems. (2015) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Scalable Vehicle Team Continuum Deformation Coordination With Eigen Decomposition. (2022) authored by Ella M. Atkins. Zhaojian Li et al.: Optimal State Estimation for Systems Driven by Jump-Diffusion Process With Application to Road Anomaly Detection. (2017) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Cooperative Aerial Payload Transport Guided by an In Situ Human Supervisor. (2019) authored by Ella M. Atkins. Zhaojian Li et al.: A New Clustering Algorithm for Processing GPS-Based Road Anomaly Reports With a Mahalanobis Distance. (2017) authored by Ella M. Atkins. Mia N. Stevens and Ella M. Atkins: Geofence Definition and Deconfliction for UAS Traffic Management. (2021) authored by Ella M. Atkins. Nan Li et al.: Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections. (2019) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection. (2018) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Resilient Continuum Deformation Coordination. (2019) authored by Ella M. Atkins. Cosme A. Ochoa and Ella M. Atkins: Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. (2021) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Scalable Vehicle Team Continuum Deformation Coordination with Eigen Decomposition. (2020) authored by Ella M. Atkins. Juan Augusto Paredes et al.: Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems. (2021) authored by Ella M. Atkins. Yu Yao et al.: Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. (2018) authored by Ella M. Atkins. Prashin Sharma et al.: Investigation of risk-aware MDP and POMDP contingency management autonomy for UAS. (2023) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments. (2018) authored by Ella M. Atkins. Prashin Sharma and Ella M. Atkins: Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System. (2021) authored by Ella M. Atkins. Zhaojian Li et al.: H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information. (2017) authored by Ella M. Atkins. D. Asadi and Ella M. Atkins: Multi-Objective Weight Optimization for Trajectory Planning of an Airplane with Structural Damage. (2018) authored by Ella M. Atkins. Mia N. Stevens et al.: Geofence Boundary Violation Detection in 3D Using Triangle Weight Characterization with Adjacency. (2019) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Asymptotic Tracking and Robustness of MAS Transitions Under a New Communication Topology. (2018) authored by Ella M. Atkins. Catharine L. R. McGhan and Ella M. Atkins: Human Productivity in a Workspace Shared with a Safe Robotic Manipulator. (2014) authored by Ella M. Atkins. Catharine L. R. McGhan et al.: Human Intent Prediction Using Markov Decision Processes. (2015) authored by Ella M. Atkins. Cosme A. Ochoa and Ella M. Atkins: Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. (2022) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Physics-Based Freely Scalable Continuum Deformation for UAS Traffic Coordination. (2020) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Safe Multiquadcopter System Continuum Deformation Over Moving Frames. (2019) authored by Ella M. Atkins. Juan Augusto Paredes et al.: Development, implementation, and experimental outdoor evaluation of quadcopter controllers for computationally limited embedded systems. (2021) authored by Ella M. Atkins. Lorraine M. Fesq et al.: AAAI 2001 Spring Symposium Series Reports. (2001) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Polygon Extraction from Triangular Meshes. (2020) authored by Ella M. Atkins. Yu Yao et al.: When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos. (2020) authored by Ella M. Atkins. Yu Yao et al.: BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation. (2020) authored by Ella M. Atkins. Prince E. Kuevor et al.: Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. (2023) authored by Ella M. Atkins. Aeris El Asslouj et al.: Can a Laplace PDE Define Air Corridors through Low-Altitude Airspace? (2023) authored by Ella M. Atkins. Akshay Mathur and Ella M. Atkins: Wind Tunnel Testing and Aerodynamic Characterization of a QuadPlane Uncrewed Aircraft System. (2023) authored by Ella M. Atkins. Ella M. Atkins: Aerospace Engineering Curricular Expansion in Information Systems. (2018) authored by Ella M. Atkins. Ella M. Atkins: Plan generation and hard real -time execution with application to safe, autonomous flight. (1999) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Computational-Physical State Co-regulation in Cyber-Physical Systems. (2011) authored by Ella M. Atkins. Andrew T. Klesh et al.: Cyber-Physical Challenges for Space Systems. (2012) authored by Ella M. Atkins. Prince E. Kuevor et al.: Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. (2023) authored by Ella M. Atkins. Prince Kuevor et al.: Improving Attitude Estimation Using Gaussian-Process-Regression-Based Magnetic Field Maps. (2021) authored by Ella M. Atkins. Ryan Feng et al.: Smart Black Box 2.0: Efficient High-Bandwidth Driving Data Collection Based on Video Anomalies. (2021) authored by Ella M. Atkins. Yu Yao et al.: BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. (2021) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Coupled Cyber-Physical System Modeling and Coregulation of a CubeSat. (2015) authored by Ella M. Atkins. Sivashankar Sivakanthan et al.: Automated Curb Recognition and Negotiation for Robotic Wheelchairs. (2021) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Polylidar3D-Fast Polygon Extraction from 3D Data. (2020) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Toward Continuous State-Space Regulation of Coupled Cyber-Physical Systems. (2012) authored by Ella M. Atkins. Yan Wan et al.: Guest Editorial Introduction to the Special Issue on Unmanned Aircraft System Traffic Management. (2021) authored by Ella M. Atkins. Yu Yao and Ella M. Atkins: The Smart Black Box: A Value-Driven High-Bandwidth Automotive Event Data Recorder. (2021) authored by Ella M. Atkins. Ella M. Atkins et al.: Planning and Resource Allocation for Hard Real-time, Fault-Tolerant Plan Execution. (2001) authored by Ella M. Atkins. Matthew Romano et al.: Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter. (2019) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Multi-Disciplinary Cyber-Physical Optimization for Unmanned Aircraft Systems. (2012) authored by Ella M. Atkins. Catharine L. R. McGhan et al.: Human Intent Prediction Using Markov Decision Processes. (2012) authored by Ella M. Atkins. Ali Nasir et al.: A Mission Based Fault Reconfiguration Framework for Spacecraft Applications. (2012) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: A Mass-Conservation Model for Stability Analysis and Finite-Time Estimation of Spread of COVID-19. (2021) authored by Ella M. Atkins. Tarek F. Abdelzaher et al.: QoS Negotiation in Real-Time Systems and Its Application to Automated Flight Control. (2000) authored by Ella M. Atkins. Ella M. Atkins: Education in the Crosscutting Sciences of Aerospace and Computing. (2014) authored by Ella M. Atkins. Ella M. Atkins: Journal of Aerospace Information Systems 2022 Year-End Review. (2023) authored by Ella M. Atkins. Ella M. Atkins and Min Xue: Noise-Sensitive Final Approach Trajectory Optimization for Runway-Independent Aircraft. (2004) authored by Ella M. Atkins. Sweewarman Balachandran and Ella M. Atkins: Flight Safety Assessment and Management for Takeoff Using Deterministic Moore Machines. (2015) authored by Ella M. Atkins. Sweewarman Balachandran et al.: Verification Guided Refinement of Flight Safety Assessment and Management System for Takeoff. (2016) authored by Ella M. Atkins. Justin M. Bradley and Ella M. Atkins: Cyber-Physical Optimization for Unmanned Aircraft Systems. (2014) authored by Ella M. Atkins. Jeremy D. Castagno et al.: Multi-Unmanned-Aerial-Vehicle Wildfire Boundary Estimation Using a Semantic Segmentation Neural Network. (2021) authored by Ella M. Atkins. Kelly Cohen et al.: Introduction: Enhancing Intelligence in Aerospace Systems. (2009) authored by Ella M. Atkins. Pedro F. A. Di Donato and Ella M. Atkins: Evaluating Risk to People and Property for Aircraft Emergency Landing Planning. (2017) authored by Ella M. Atkins. Ryan D. Eubank et al.: Energy-Aware Multiflight Planning for an Unattended Seaplane: Flying Fish. (2017) authored by Ella M. Atkins. Jamie A. Lennon and Ella M. Atkins: Multi-Objective Spacecraft Trajectory Optimization with Synthetic Agent Oversight. (2005) authored by Ella M. Atkins. Jamie A. Lennon and Ella M. Atkins: Preference-Based Trajectory Generation. (2009) authored by Ella M. Atkins. Ali Nasir et al.: Mission-Based Fault Reconfiguration for Spacecraft Applications. (2013) authored by Ella M. Atkins. Stephen N. Roderick et al.: An Autonomous Software Safety System for a Dexterous Space Robot. (2004) authored by Ella M. Atkins. Justin R. Rufa and Ella M. Atkins: Unmanned Aircraft System Navigation in the Urban Environment: A Systems Analysis. (2016) authored by Ella M. Atkins. Prashin Sharma et al.: Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems. (2024) authored by Ella M. Atkins. Mia N. Stevens and Ella M. Atkins: Generating Airspace Geofence Boundary Layers in Wind. (2020) authored by Ella M. Atkins. Timothy Wasserman et al.: A Modal Operations Paradigm for Robust Vision-based Astronaut Following. (2006) authored by Ella M. Atkins. Stephen N. Roderick et al.: The Ranger Robotic Satellite Servicer and Its Autonomous Software-Based Safety System. (2004) authored by Ella M. Atkins. Nan Li et al.: Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections. (2022) authored by Ella M. Atkins. Mushuang Liu et al.: Statistical Properties and Airspace Capacity for Unmanned Aerial Vehicle Networks Subject to Sense-and-Avoid Safety Protocols. (2021) authored by Ella M. Atkins. Hamid Emadi et al.: A Finite-State Fixed-Corridor Model for UAS Traffic Management. (2022) authored by Ella M. Atkins. Yu Yao et al.: Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. (2021) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Polylidar - Polygons From Triangular Meshes. (2020) authored by Ella M. Atkins. John A. Broderick et al.: Characterizing Energy Usage of a Commercially Available Ground Robot: Method and Results. (2014) authored by Ella M. Atkins. John A. Broderick et al.: Optimal coverage trajectories for a UGV with tradeoffs for energy and time. (2014) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Roof Shape Classification from LiDAR and Satellite Image Data Fusion Using Supervised Learning. (2018) authored by Ella M. Atkins. Zhaojian Li et al.: Road Risk Modeling and Cloud-Aided Safety-Based Route Planning. (2016) authored by Ella M. Atkins. Jeremy D. Castagno et al.: Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation. (2019) authored by Ella M. Atkins. Ella M. Atkins et al.: Plan Development using Local Probabilistic Models (2013) authored by Ella M. Atkins. Jeremy D. Castagno and Ella M. Atkins: Polylidar3D - Fast Polygon Extraction from 3D Data. (2020) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: An Integrative Data-Driven Physics-Inspired Approach to Traffic Congestion Control. (2019) authored by Ella M. Atkins. Hossein Rastgoftar et al.: Formal Specification of Continuum Deformation Coordination. (2019) authored by Ella M. Atkins. Yu Yao et al.: Unsupervised Traffic Accident Detection in First-Person Videos. (2019) authored by Ella M. Atkins. Hossein Rastgoftar and Ella M. Atkins: Physics-Based Freely Scalable Continuum Deformation for UAS Traffic Coordination. (2019) authored by Ella M. Atkins. Hossein Rastgoftar et al.: A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios. (2018) authored by Ella M. Atkins{'author_wikipedia_text': \\\"Ella Marie Atkins is an American aerospace engineer whose research involves flight planning and the coordination of multiple unmanned aerial vehicles. She is a head of the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech, where she holds the Fred D. Durham Chair in Engineering, and is the editor-in-chief of the Journal of Aerospace Information Systems.\\\\nAtkins is originally from Summers County, West Virginia, where her father, Mason Atkins, worked as a farmer, farm equipment salesman, and local politician. She went to Hinton High School. As a young student she participated in the Study of Mathematically Precocious Youth, learning mathematics under the mentorship of a Johns Hopkins University graduate student. Later, as a high school senior, she was the winner of the 1984 West Virginia Junior Miss competition, and won the scholastic achievement category in the national competition.\\\\nShe became an undergraduate at the Massachusetts Institute of Technology, where she earned bachelor's and master's degrees in MIT's program in Aeronautics & Astronautics in 1988 and 1990, respectively. Continuing her graduate study in the program in Computer Science & Engineering at the University of Michigan, she earned a second master's degree in 1995, and completed her Ph.D. in 1999. Her dissertation, Plan Generation and Hard Real-time Execution with Application to Safe, Autonomous Flight, was jointly supervised by Kang G. Shin and Edmund H. Durfee.\\\\nShe became an assistant professor of aerospace engineering at the University of Maryland, College Park from 1999 to 2006, before returning to the University of Michigan as an associate professor in the Department of Aerospace Engineering in 2006. At Michigan, she became a professor, the director of the Autonomous Aerospace Systems Laboratory, and the associate director of the University of Michigan Robotics Institute. In 2022, she moved again, to Virginia Tech, as head of the Kevin T. Crofton Department of Aerospace and Ocean Engineering and Fred D. Durham Chair in Engineering.\\\\nShe is the editor-in-chief of the Journal of Aerospace Information Systems, published by the American Institute of Aeronautics and Astronautics.\\\\nAtkins was named a Fellow of the American Institute of Aeronautics and Astronautics in 2019. She was the 2022 recipient of the AIAA Intelligent Systems Award.\\\"}\",\n \"verbalizer_on_all_triples\": \"Ella M. Atkins wrote 17 papers in 2012.\\nElla M. Atkins wrote 16 papers in 2013.\\nElla M. Atkins wrote 25 papers in 2014.\\nElla M. Atkins wrote 15 papers in 2015.\\nElla M. Atkins wrote 19 papers in 2016.\\nElla M. Atkins wrote 23 papers in 2017.\\nElla M. Atkins has a written paper amount of 32.\\nElla M. Atkins has a written paper amount of 29 in year 2019.\\nElla M. Atkins wrote 13 papers in the year 2020.\\nElla M. Atkins wrote paper amount in year2021: 28.\\nElla M. Atkins wrote 11 papers in 2022.\\nElla M. Atkins wrote paper amount in year2023: 15.\\nElla M. Atkins has a 2YrMeanCitedness of 1.2682926654815673828.\\nElla M. Atkins is affiliated with University of Michigan, Ann Arbor, USA.\\nElla M. Atkins is also known as \\\"Ella M. Atkins, Ella Atkins, E. M. Atkins, Ella. M. Atkins, Ella Marie Atkins, Ella M. Atkins\\\".\\n\\\"Prashin Sharma and Ella M. Atkins: Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System. (2021), Jeremy D. Castagno and Ella M. Atkins: Polylidar3D-Fast Polygon Extraction from 3D Data. (2020), Maxime Ransan and Ella M. Atkins: A Collaborative Model for Astronaut-Rover Exploration Teams. (2006), Andrew T. Kles\\nElla M. Atkins cited ByCount 7609.\\nElla M. Atkins has an h-index of 26.\\nElla M. Atkins has a i10Index of 92.\\nElla M. Atkins is the creator and the author of Ella M. Atkins.\\nElla M. Atkins is linked to \\\"https://scholar.google.com/citations?user=Qb2zwXUAAAAJ, https://en.wikipedia.org/wiki/Ella_Atkins, https://mathscinet.ams.org/mathscinet/MRAuthorID/816574, https://a2sys.engin.umich.edu/people/679-2/, https://mathgenealogy\\nElla M. Atkins is a member of Virginia Tech.\\nElla M. Atkins was modified on 2023-10-18.\\nElla M. Atkins is the name of Ella M. Atkins.\\nElla M. Atkins has orcidId https://orcid.org/0000-0003-2132-6256.\\nElla M. Atkins is affiliated with the University of Michigan, Ann Arbor, USA.\\nElla M. Atkins has 379 works count.{'author_wikipedia_text': \\\"Ella Marie Atkins is an American aerospace engineer whose research involves flight planning and the coordination of multiple unmanned aerial vehicles. She is a head of the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech, where she holds the Fred D. Durham Chair in Engineering, and is the editor-in-chief of the Journal of Aerospace Information Systems.\\\\nAtkins is originally from Summers County, West Virginia, where her father, Mason Atkins, worked as a farmer, farm equipment salesman, and local politician. She went to Hinton High School. As a young student she participated in the Study of Mathematically Precocious Youth, learning mathematics under the mentorship of a Johns Hopkins University graduate student. Later, as a high school senior, she was the winner of the 1984 West Virginia Junior Miss competition, and won the scholastic achievement category in the national competition.\\\\nShe became an undergraduate at the Massachusetts Institute of Technology, where she earned bachelor's and master's degrees in MIT's program in Aeronautics & Astronautics in 1988 and 1990, respectively. Continuing her graduate study in the program in Computer Science & Engineering at the University of Michigan, she earned a second master's degree in 1995, and completed her Ph.D. in 1999. Her dissertation, Plan Generation and Hard Real-time Execution with Application to Safe, Autonomous Flight, was jointly supervised by Kang G. Shin and Edmund H. Durfee.\\\\nShe became an assistant professor of aerospace engineering at the University of Maryland, College Park from 1999 to 2006, before returning to the University of Michigan as an associate professor in the Department of Aerospace Engineering in 2006. At Michigan, she became a professor, the director of the Autonomous Aerospace Systems Laboratory, and the associate director of the University of Michigan Robotics Institute. In 2022, she moved again, to Virginia Tech, as head of the Kevin T. Crofton Department of Aerospace and Ocean Engineering and Fred D. Durham Chair in Engineering.\\\\nShe is the editor-in-chief of the Journal of Aerospace Information Systems, published by the American Institute of Aeronautics and Astronautics.\\\\nAtkins was named a Fellow of the American Institute of Aeronautics and Astronautics in 2019. She was the 2022 recipient of the AIAA Intelligent Systems Award.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"Ella M. Atkins: Education in the Crosscutting Sciences of Aerospace and Computing. (2014), Justin M. Bradley and Ella M. Atkins: Coupled Cyber-Physical System Modeling and Coregulation of a CubeSat. (2015), Cosme A. Ochoa and Ella M. Atkins: Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. (2022), Kelly Cohen et al.: Introduction: Enhancing Intelligence in Aerospace Systems. (2009)\\\\nShe is the editor-in-chief of the Journal of Aerospace Information Systems, published by the American Institute of Aeronautics and Astronautics. Durham Chair in Engineering, and is the editor-in-chief of the Journal of Aerospace Information Systems. {'author_wikipedia_text': \\\"Ella Marie Atkins is an American aerospace engineer whose research involves flight planning and the coordination of multiple unmanned aerial vehicles. Her dissertation, Plan Generation and Hard Real-time Execution with Application to Safe, Autonomous Flight, was jointly supervised by Kang G\"\n}"}}},{"rowIdx":82,"cells":{"id":{"kind":"string","value":"7e90c291-f73e-4c76-802f-a23fcab01a65"},"triples_number":{"kind":"number","value":336,"string":"336"},"question":{"kind":"string","value":"How many works has the author who collaborated with N. Sudha on a parallel skeletonization algorithm at HiPC in 1998 completed?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"2.5999999046325683594\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"Indian Institute of Technology Guwahati, India\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"Indian Institute of Technology Kharagpur, West Bengal, India\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"Nanyang Technological University, Singapore\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Sukumar Nandi\"\n },\n {\n \"object\": \"A. 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Sudha and Sukumar Nandi: A parallel skeletonization algorithm and its VLSI architecture. (1998) authored by Sukumar Nandi. Sukumar Nandi is Author. N. Sudha et al.: A Parallel Algorithm to Construct Voronoi Diagram and Its VLSI Architecture. (1999) authored by Sukumar Nandi. Sukumar Nandi orcidId https://orcid.org/0000-0002-5869-1057. Sukumar Nandi worksCount 346. Sukumar Nandi link http://www.wikidata.org/entity/Q7635913. Niteesh Kumar and Sukumar Nandi: DisTree: A scheme for DHT. (2013) authored by Sukumar Nandi. Sukumar Nandi is Creator. Sukumar Nandi link https://en.wikipedia.org/wiki/Sukumar_Nandi. Sukumar Nandi citedByCount 2538. Sukumar Nandi written paper amount in year2019: 31. Sukumar Nandi written paper amount in year2019: 31. Sukumar Nandi written paper amount in year2021: 4. Sukumar Nandi written paper amount in year2021: 4. Sukumar Nandi modified 2023-10-18. Sandip Chakraborty and Sukumar Nandi: Selective greedy routing: exploring the path diversity in backbone mesh networks. (2014) authored by Sukumar Nandi. Sukumar Nandi link https://ieeexplore.ieee.org/author/37279938500. Sukumar Nandi and Parimal Pal Chaudhuri: Reply to Comments on \\\"Theory and Application of Cellular Automata in Cryptography\\\". (1997) authored by Sukumar Nandi. Sukumar Nandi written paper amount in year2023: 13. Sukumar Nandi written paper amount in year2023: 13. Sukumar Nandi written paper amount in year2017: 13. Sukumar Nandi written paper amount in year2017: 13. Sukumar Nandi scopus http://www.scopus.com/inward/authorDetails.url?authorID=9738354800&partnerID=MN8TOARS. Sukumar Nandi written paper amount in year2020: 11. Sukumar Nandi written paper amount in year2020: 11. Sukumar Nandi written paper amount in year2022: 5. Sukumar Nandi written paper amount in year2022: 5. Sukumar Nandi written paper amount in year2013: 24. Sukumar Nandi written paper amount in year2013: 24. D. K. Bhattacharryya and Sukumar Nandi: An efficient class of SEC-DED-AUED codes. (1997) authored by Sukumar Nandi. Sukumar Nandi link https://www.iitg.ac.in/engfac/sukumar/public_html/. Sukumar Nandi link https://www.iitg.ac.in/engfac/sukumar/public_html/. Sukumar Nandi written paper amount in year2012: 31{'author_wikipedia_text': 'Professor Sukumar Nandi is senior member of IEEE and is in Department of Computer Science and Engineering at the Indian Institute of Technology Guwahati. \\\\nHe was appointed the \\\"Dean of Academic Affairs\\\" in IIT Guwahati in 2008, and held the post until 2012\",\n \"plain\": \"Sukumar Nandi is Author. Sukumar Nandi modified 2023-10-18. Sukumar Nandi citedByCount 2538. Sukumar Nandi written paper amount in year2012: 31. Sukumar Nandi written paper amount in year2012: 31. Sukumar Nandi written paper amount in year2013: 24. Sukumar Nandi written paper amount in year2013: 24. 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Sukumar Nandi written paper amount in year2023: 13. Sukumar Nandi worksCount 346. Sukumar Nandi name Sukumar Nandi. Sukumar Nandi member of Indian Institute of Technology Guwahati. Sukumar Nandi h-index 23. Sukumar Nandi 2YrMeanCitedness 2.5999999046325683594. Sukumar Nandi alternativeName A. Nandi. Sukumar Nandi alternativeName Arun Kumar Nandi. Sukumar Nandi alternativeName Nandi. Sukumar Nandi alternativeName S. Nandi. Sukumar Nandi alternativeName Sukumar Nandi. Sukumar Nandi alternativeName Sunit Kumar Nandi. Sukumar Nandi i10Index 81. Sukumar Nandi orcidId https://orcid.org/0000-0002-5869-1057. Sukumar Nandi scopus http://www.scopus.com/inward/authorDetails.url?authorID=9738354800&partnerID=MN8TOARS. Sukumar Nandi is Creator. Sukumar Nandi is Person. Sukumar Nandi link https://www.iitg.ac.in/engfac/sukumar/public_html/. Sukumar Nandi affiliation Indian Institute of Technology Guwahati, India. Sukumar Nandi link https://www.iitg.ac.in/engfac/sukumar/public_html/. Sukumar Nandi primary affiliation Indian Institute of Technology Guwahati, India. Sukumar Nandi link https://en.wikipedia.org/wiki/Sukumar_Nandi. Sukumar Nandi affiliation Indian Institute of Technology Kharagpur, West Bengal, India. Sukumar Nandi link http://www.wikidata.org/entity/Q7635913. Sukumar Nandi link https://ieeexplore.ieee.org/author/37279938500. Sukumar Nandi affiliation Nanyang Technological University, Singapore. Sukanta Dey et al.: PGRDP: Reliability, Delay, and Power-Aware Area Minimization of Large-Scale VLSI Power Grid Network Using Cooperative Coevolution. (2020) authored by Sukumar Nandi. Jiawei Xie et al.: Improving the reliability of IEEE 802.11 broadcast scheme for multicasting in mobile ad hoc networks. (2005) authored by Sukumar Nandi. Bhriguraj Borah et al.: Survey of Textbased Chatbot in Perspective of Recent Technologies. (2018) authored by Sukumar Nandi. Amrita Bose Paul et al.: E-AODV for Wireless Mesh Networks and Its Performance Evaluation. (2011) authored by Sukumar Nandi. Debanjan Roy Chowdhury et al.: Cost-effective Distributed Edge vehicle selection for Multi-tier Video streaming over Vehicular network. (2022) authored by Sukumar Nandi. Santosh Kumar et al.: Peer-to-Peer Network Classification Using nu-Maximal Margin Spherical Structured Multiclass Support Vector Machine. (2010) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Primary Path Effect in Multi-Path TCP: How Serious Is It for Deployment Consideration? (2017) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: FLIPPER: Fault-tolerant distributed network management and control. (2017) authored by Sukumar Nandi. Abhishek Anand et al.: QDMAC: An Energy Efficient Low Latency MAC Protocol for Query Based Wireless Sensor Networks. (2009) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Controlling Unfairness due to Physical Layer Capture and Channel Bonding in 802.11n+s Wireless Mesh Networks. (2015) authored by Sukumar Nandi. Biswanath Dey and Sukumar Nandi: Distributed Location and Lifetime Biased Clustering for Large Scale Wireless Sensor Network. (2006) authored by Sukumar Nandi. Ravi Tandon et al.: POSTER: Distributed Lagrangean Clustering Protocol. (2013) authored by Sukumar Nandi. Bikramjit Choudhury et al.: DTLS based secure group communication scheme for Internet of Things. (2020) authored by Sukumar Nandi. Prithu Banerjee et al.: An Efficient Decentralized Rekeying Scheme to Secure Hierarchical Geographic Multicast Routing in Wireless Sensor Networks. (2011) authored by Sukumar Nandi. Vivek Ramachandran and Sukumar Nandi: Detecting ARP Spoofing: An Active Technique. (2005) authored by Sukumar Nandi. Bidyut Kr. Patra et al.: Distance Based Fast Hierarchical Clustering Method for Large Datasets. (2010) authored by Sukumar Nandi. Syam Sankar et al.: Exploring Trustable Paths in Network-on-Chip for Low-Slack Packets. (2023) authored by Sukumar Nandi. Bidyut Kr. Patra and Sukumar Nandi: Fast Single-Link Clustering Method Based on Tolerance Rough Set Model. (2009) authored by Sukumar Nandi. Suchetana Chakraborty et al.: RelBAS: Reliable data gathering from border area sensors. (2013) authored by Sukumar Nandi. Ruchika Gupta et al.: Securing On-chip Interconnect against Delay Trojan using Dynamic Adaptive Caging. (2022) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Exploring gradient in sensor deployment pattern for data gathering with sleep based energy saving. (2013) authored by Sukumar Nandi. Mohammad Humam Khan et al.: Dead flit attack on NoC by hardware trojan and its impact analysis. (2021) authored by Sukumar Nandi. Dhruwajita Devi and Sukumar Nandi: Detection of packed malware. (2012) authored by Sukumar Nandi. Chinmaya Kumar Patanaik et al.: Obfuscated malware detection using API call dependency. (2012) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: MAC layer fairness in IEEE 802.11 DCF based Wireless Mesh Networks. (2012) authored by Sukumar Nandi. Sunil Dutt et al.: Variability-aware parametric yield enhancement via post-silicon tuning of hybrid redundant MAC units. (2015) authored by Sukumar Nandi. Sukanta Dey et al.: Machine Learning for VLSI CAD: A Case Study in On-Chip Power Grid Design. (2021) authored by Sukumar Nandi. Maushumi Barooah et al.: TCP performance for WLAN-GPRS handover in an Intermediate Switching Network based framework. (2011) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: LORD: LOw Rate DDoS Attack Detection and Mitigation Using Lightweight Distributed Packet Inspection Agent in IoT Ecosystem. (2019) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: QoS associated path selection in wireless mesh networks. (2014) authored by Sukumar Nandi. Sandip Chakraborty et al.: Surpassing flow fairness in a mesh network: How to ensure equity among end users? (2013) authored by Sukumar Nandi. Suddhasil De et al.: Supporting Tuple Space based Mobile Middleware over unreliable mobile infrastructures: Design and formal specifications. (2012) authored by Sukumar Nandi. Nidhi Gupta et al.: LandLedger: Blockchain-powered Land Property Administration System. (2019) authored by Sukumar Nandi. Deepak Mangal et al.: Link prediction on evolving social network using spectral analysis. (2013) authored by Sukumar Nandi. Jinita Patel et al.: On the Security of Remote Key Less Entry for Vehicles. (2018) authored by Sukumar Nandi. Amrita Bose Paul et al.: Adaptive path selection for high throughput Heterogeneous Wireless Mesh Networks. (2015) authored by Sukumar Nandi. Srikanta Pradhan et al.: Blockchain based Security Framework for P2P Filesharing system. (2018) authored by Sukumar Nandi. Ritesh Ratti et al.: Online Network Attack Detection using Statistical Features. (2021) authored by Sukumar Nandi. Dipojjwal Ray et al.: ArsPAN: Attacker Revelation Scheme using Discrete Event System in 6LoWPAN based Buffer Reservation Attack. (2020) authored by Sukumar Nandi. Tejmani Sinam et al.: Early detection of VoIP network flows based on sub-flow statistical characteristics of flows using machine learning techniques. (2014) authored by Sukumar Nandi. Suraj Jaiswal et al.: Quality of Service Model and Signaling for Cellular IP Access Network. (2004) authored by Sukumar Nandi. Bidyut Kr. Patra and Sukumar Nandi: Neighborhood Based Clustering Method for Arbitrary Shaped Clusters. (2011) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: An active DES based IDS for ARP spoofing. (2011) authored by Sukumar Nandi. Roshan Singh et al.: ATOM : A Decentralized Task Offloading Framework for Mobile Edge Computing through Blockchain and Smart Contracts. (2023) authored by Sukumar Nandi. Roshan Singh et al.: An Implementation and Analysis of Zero Knowledge Based E-Voting Solution With Proof of Vote on Public Ethereum Blockchain. (2023) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Aloe: An Elastic Auto-Scaled and Self-stabilized Orchestration Framework for IoT Applications. (2019) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach. (2022) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Amalgam: Distributed Network Control With Scalable Service Chaining. (2020) authored by Sukumar Nandi. Zhifei Li et al.: Improving MAC Performance in Wireless Ad Hoc Networks Using Enhanced Carrier Sensing (ECS). (2004) authored by Sukumar Nandi. Zhifei Li et al.: Modeling the Short-Term Unfairness of IEEE 802.11 in Presence of Hidden Terminals. (2004) authored by Sukumar Nandi. Mamata Samal et al.: Scalability of Correlation Clustering Through Constraint Reduction. (2014) authored by Sukumar Nandi. Neminath Hubballi et al.: An Active Intrusion Detection System for LAN Specific Attacks. (2010) authored by Sukumar Nandi. Sunil Dutt et al.: A High-Performance Energy-Efficient Hybrid Redundant MAC for Error-Resilient Applications. (2015) authored by Sukumar Nandi. Sunil Dutt et al.: Exploring Approximate Computing for Yield Improvement via Re-design of Adders for Error-Resilient Applications. (2016) authored by Sukumar Nandi. S. Mitra et al.: Architecture of a VLSI Chip for Modeling Amino Acid Sequence in Proteins. (1996) authored by Sukumar Nandi. Sukumar Nandi et al.: A CAD Tool for Design of On-Chip Store & Generate Scheme. (1994) authored by Sukumar Nandi. Sukumar Nandi et al.: Programmable cellular automata based testbed for fault diagnosis in VLSI circuits. (1996) authored by Sukumar Nandi. Bhabesh Mali et al.: Alternate Crop Prediction using Artificial Intelligence: A Case Study in Assam. (2021) authored by Sukumar Nandi. Shilpa Budhkar et al.: Security in Mobile agent systems with Locator mechanism. (2012) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: Detection and Mitigation of Induced Low Rate TCP-Targeted Denial of Service Attack. (2012) authored by Sukumar Nandi. Sumeet N. Parmar et al.: LLM: Low Latency MAC Protocol for Wireless Sensor Networks. (2006) authored by Sukumar Nandi. Sumeet N. Parmar et al.: Power Efficient and Low Latency MAC for Wireless Sensor Networks. (2006) authored by Sukumar Nandi. Jiawei Xie et al.: An improvement to the reliability of IEEE 802.11 broadcast scheme for multicasting in mobile ad networks. (2004) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: An Active Detection Mechanism for Detecting ICMP Based Attacks. (2012) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: A HiperLAN/2 Based MAC Protocol for Efficient Vehicle-to-Infrastructure Communication Using Directional Wireless Mesh Backbone. (2012) authored by Sukumar Nandi. Suddhasil De et al.: Modeling an Enhanced Tuple Space Based Mobile Middleware in UNITY. (2012) authored by Sukumar Nandi. Pankaj Choudhury et al.: Relevance of Language-Specific Training on Image Caption Synthesis for Low Resource Assamese Language. (2023) authored by Sukumar Nandi. N. Sudha et al.: A Parallel Algorithm to Construct Voronoi Diagram and Its VLSI Architecture. (1999) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: An Anomaly Based Approach for HID Attack Detection Using Keystroke Dynamics. (2012) authored by Sukumar Nandi. Neminath Hubballi et al.: Layered Higher Order N-grams for Hardening Payload Based Anomaly Intrusion Detection. (2010) authored by Sukumar Nandi. Ritesh Ratti et al.: Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique. (2020) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Improving MPTCP Performance by Enabling Sub-Flow Selection over a SDN Supported Network. (2018) authored by Sukumar Nandi. Sukumar Nandi and Parimal Pal Chaudhuri: Theory and applications of cellular automata for synthesis of easily testable combinational logic. (1995) authored by Sukumar Nandi. Abhijit Sarma and Sukumar Nandi: Zone Based Seamless Vertical Handoff Technique between WiFi and WiMax. (2011) authored by Sukumar Nandi. N. Sudha and Sukumar Nandi: A parallel skeletonization algorithm and its VLSI architecture. (1998) authored by Sukumar Nandi. Giriraj Chauhan and Sukumar Nandi: QoS Aware Stable path Routing (QASR) Protocol for MANETs. (2008) authored by Sukumar Nandi. Nityananda Sarma and Sukumar Nandi: A Route Stability Based Multipath QoS Routing (SMQR) in MANETs. (2008) authored by Sukumar Nandi. Dipojjwal Ray et al.: DAISS: Design of an Attacker Identification Scheme in CoAP Request/Response Spoofing. (2021) authored by Sukumar Nandi. Pranav Kumar Singh et al.: ML-Based Approach to Detect DDoS Attack in V2I Communication Under SDN Architecture. (2018) authored by Sukumar Nandi. Pranav Kumar Singh et al.: A Blockchain-Based Approach for Usage Based Insurance and Incentive in ITS. (2019) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Impact of Security Attacks on Cooperative Driving Use Case: CACC Platooning. (2018) authored by Sukumar Nandi. Zhuowei Li et al.: Utilizing Statistical Characteristics of N-grams for Intrusion Detection. (2003) authored by Sukumar Nandi. Ronald Ashley Dkhar et al.: Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters. (2016) authored by Sukumar Nandi. Gunjan Bansal et al.: Detection of NDP based attacks using MLD. (2012) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: Detection of neighbor solicitation and advertisement spoofing in IPv6 neighbor discovery protocol. (2011) authored by Sukumar Nandi. Sunil Dutt et al.: Approxhash: delay, power and area optimized approximate hash functions for cryptography applications. (2017) authored by Sukumar Nandi. Sukanta Dey et al.: PowerPlanningDL: Reliability-Aware Framework for On-Chip Power Grid Design using Deep Learning. (2020) authored by Sukumar Nandi. Madhurima Buragohain et al.: SCAN: Smart Collaborative Attack in Named Data Networking. (2020) authored by Sukumar Nandi. Mayank Agarwal et al.: Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach. (2015) authored by Sukumar Nandi. Pranav Kumar Singh et al.: CCAPS: Cooperative Context Aware Privacy Scheme for VANETs. (2019) authored by Sukumar Nandi. Atanu Roy Chowdhury et al.: Securing Wireless Sensor Networks Against Spurious Injections. (2007) authored by Sukumar Nandi. Mantha Venkata Sreedhara Deekshitulu et al.: Improving MAC Layer Fairness in Multi-Hop 802.11 Networks. (2007) authored by Sukumar Nandi. Suresh Reddy and Sukumar Nandi: Modular approach for anomaly based NIDS. (2006) authored by Sukumar Nandi. Somanath Tripathy et al.: CARA: Cellular automata based remote-user authentication scheme. (2006) authored by Sukumar Nandi. Roshan Singh et al.: A Blockchain-based Approach for Optimal Energy Dispatch and Fault Reporting in P2P Microgrid. (2021) authored by Sukumar Nandi. Suchetana Chakraborty et al.: A Tree-Based Local Repairing Approach for Increasing Lifetime of Query Driven WSN. (2011) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Misbehavior Detection in C-ITS Using Deep Learning Approach. (2018) authored by Sukumar Nandi. Suchetana Chakraborty et al.: A novel crash-tolerant data gathering in wireless sensor networks. (2012) authored by Sukumar Nandi. Sumit Kumar et al.: Distributed smart camera network and mobile devices. (2011) authored by Sukumar Nandi. Suddhasil De et al.: Consistent Coordination Decoupling in Tuple Space Based Mobile Middleware: Design and Formal Specifications. (2013) authored by Sukumar Nandi. Dhananjay Kotwal et al.: Seamless Handoff between IEEE 802.11 and GPRS Networks. (2010) authored by Sukumar Nandi. Suresh Reddy and Sukumar Nandi: Enhanced Network Traffic Anomaly Detector. (2005) authored by Sukumar Nandi. Nityananda Sarma et al.: A Strict Priority Based QoS-Aware MAC Protocol for Mobile Ad Hoc Networks. (2008) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Fast and Secure Handoffs for V2I Communication in Smart City Wi-Fi Deployment. (2018) authored by Sukumar Nandi. Pranav Kumar Singh et al.: JSpongeGen: A Pseudo Random Generator for Low Resource Devices. (2019) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Elliptic Curve Cryptography Based Mechanism for Secure Wi-Fi Connectivity. (2019) authored by Sukumar Nandi. Somanath Tripathy and Sukumar Nandi: Efficient Remote User Authentication and Key Establishment for Multi-server Environment. (2006) authored by Sukumar Nandi. Saurabh et al.: Is QUIC Quicker Than TCP? - A Performance Evaluation. (2019) authored by Sukumar Nandi. Pinaki Sarkar et al.: CRT-KPS: A Key Predistribution Schemes Using CRT. (2018) authored by Sukumar Nandi. Paromita Choudhury et al.: Analysis of VBR coded VoIP for traffic classification. (2013) authored by Sukumar Nandi. Niteesh Kumar and Sukumar Nandi: DisTree: A scheme for DHT. (2013) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Leader Election in Cooperative Adaptive Cruise Control Based Platooning. (2018) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Smart Contract Based Decentralized Parking Management in ITS. (2019) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Managing Smart Home Appliances with Proof of Authority and Blockchain. (2019) authored by Sukumar Nandi. Puneet Bakshi and Sukumar Nandi: Privacy Enhanced DigiLocker using Ciphertext-Policy Attribute-Based Encryption. (2020) authored by Sukumar Nandi. Mohammad Humam Khan et al.: Hardware Trojan Mitigation for Securing On-chip Networks from Dead Flit Attacks. (2022) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Energy-Efficient Data Gathering for Road-Side Sensor Networks Ensuring Reliability and Fault-Tolerance. (2013) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Machine Learning Based Approach to Detect Wormhole Attack in VANETs. (2019) authored by Sukumar Nandi. Sunil Dutt et al.: Analysis and Design of Adders for Approximate Computing. (2018) authored by Sukumar Nandi. Dipojjwal Ray et al.: A Novel Energy-Efficient Scheme for RPL Attacker Identification in IoT Networks Using Discrete Event Modeling. (2023) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Blockchain Meets AI for Resilient and Intelligent Internet of Vehicles. (2021) authored by Sukumar Nandi. Sukanta Dey et al.: PGIREM: Reliability-Constrained IR Drop Minimization and Electromigration Assessment of VLSI Power Grid Networks Using Cooperative Coevolution. (2018) authored by Sukumar Nandi. Pravati Swain et al.: Performance analysis of IEEE 802.11 IBSS power save mode using a discrete-time markov model. (2012) authored by Sukumar Nandi. Sukumar Nandi et al.: Security and Privacy - Second ISEA International Conference, ISEA-ISAP 2018, Jaipur, India, January, 9-11, 2019, Revised Selected Papers (2019) edited by Sukumar Nandi. Sukanta Dey et al.: EvadePDF: Towards Evading Machine Learning Based PDF Malware Classifiers. (2018) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Machine Learning Based Approach to Detect Position Falsification Attack in VANETs. (2018) authored by Sukumar Nandi. Mayank Agarwal et al.: I2-diagnosability framework for detection of Advanced Stealth Man in the Middle attack in Wi-Fi networks. (2015) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: A host based DES approach for detecting ARP spoofing. (2011) authored by Sukumar Nandi. Madhurima Buragohain et al.: EQPR: Enhancing QoS in Named Data Networking using Priority and RTT Driven PIT Replacement Policy. (2019) authored by Sukumar Nandi. Sandip Chakraborty et al.: Performance optimization in single channel directional multi-interface IEEE 802.11s EDCA using beam prioritization. (2012) authored by Sukumar Nandi. Sukanta Dey et al.: Markov Chain Model Using Lévy Flight for VLSI Power Grid Analysis. (2017) authored by Sukumar Nandi. Sukumar Nandi et al.: Delay Fault Test Generation with Cellular Automata. (1993) authored by Sukumar Nandi. Suddhasil De et al.: Formal Modeling of Mobile Middleware for Tuple Space Coordination over Multiple Heterogeneous Networks. (2013) authored by Sukumar Nandi. Sanjib Narzary et al.: Generating Monolingual Dataset for Low Resource Language Bodo from old books using Google Keep. (2022) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition. (2022) authored by Sukumar Nandi. Neminath Hubballi et al.: NDoT: Nearest Neighbor Distance Based Outlier Detection Technique. (2011) authored by Sukumar Nandi. Bidyut Kr. Patra et al.: Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes. (2013) authored by Sukumar Nandi. Zhifei Li et al.: Achieving MAC fairness in wireless ad-hoc networks using adaptive transmission control. (2004) authored by Sukumar Nandi. Syam Sankar et al.: Enhancing Anonymity in NoC Communication to Counter Traffic Profiling by Hardware Trojans. (2023) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: ML for IEEE 802.15. 4e/TSCH: Energy Efficient Approach to Detect DDoS Attack Using Machine Learning. (2021) authored by Sukumar Nandi. Madhurima Buragohain and Sukumar Nandi: LPECN: Leveraging PIT placement and explicit marking for congestion control in NDN. (2021) authored by Sukumar Nandi. Sunit Kumar Nandi et al.: Evaluating DASH QoE with MPTCP Under Different MPTCP Buffer Sizes and Path Latencies. (2021) authored by Sukumar Nandi. Sandip Chakraborty et al.: Defending concealedness in IEEE 802.11n. (2014) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Evaluating the effect of path diversity over QoS and QoE in a high speed indoor mesh backbone. (2014) authored by Sukumar Nandi. Neminath Hubballi et al.: Sequencegram: n-gram modeling of system calls for program based anomaly detection. (2011) authored by Sukumar Nandi. Santosh Kumar et al.: Research and application of One-class small hypersphere support vector machine for network anomaly detection. (2011) authored by Sukumar Nandi. Ravi Tandon and Sukumar Nandi: CRP: Cluster head Re-election Protocol for heterogeneous wireless sensor networks. (2013) authored by Sukumar Nandi. Vedika J. Kulkarni et al.: Packet header attack by hardware trojan in NoC based TCMP and its impact analysis. (2021) authored by Sukumar Nandi. V. Chennakesavulu et al.: OSASMAC: Opportunistic Secure Adaptive Sensor MAC Protocol. (2007) authored by Sukumar Nandi. Vinod Kone and Sukumar Nandi: QoS Constrained Adaptive Routing Protocol For Mobile Adhoc Networks. (2006) authored by Sukumar Nandi. Amrita Bose Paul and Sukumar Nandi: Modified Optimized Link State Routing (M-OLSR) for Wireless Mesh Networks. (2008) authored by Sukumar Nandi. Somanath Tripathy et al.: CARMA: Cellular Automata Based Remote Mutual Authentication Scheme. (2006) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: LIENE: Lifetime Enhancement for 6LoWPAN Network Using Clustering Approach Use Case: Smart Agriculture. (2021) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: Energy Efficient Approach to Detect Sinkhole Attack Using Roving IDS in 6LoWPAN Network. (2020) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: BRAIN: Buffer Reservation Attack PreventIoN Using Legitimacy Score in 6LoWPAN Network. (2020) authored by Sukumar Nandi. Sukanta Dey et al.: ReFIT: Reliability Challenges and Failure Rate Mitigation Techniques for IoT Systems. (2020) authored by Sukumar Nandi. Amrita Bose Paul et al.: SAS: Seasonality Aware Social-Based Forwarder Selection in Delay Tolerant Networks. (2020) authored by Sukumar Nandi. Amrita Bose Paul et al.: TA-ACS: A Trust Aware Adaptive Carrier Selection Scheme for Reliable Routing in Delay Tolerant Networks. (2020) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Designing a Blockchain Based Framework for IoT Data Trade. (2020) authored by Sukumar Nandi. Sukumar Nandi and Parimal Pal Chaudhuri: Analysis of Periodic and Intermediate Boundary 90/150 Cellular Automata. (1996) authored by Sukumar Nandi. Bidyut Kr. Patra et al.: Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data. (2014) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Leveraging the trade-off between spatial reuse and channel contention in wireless mesh networks. (2016) authored by Sukumar Nandi. Amrita Bose Paul et al.: M-HRP for Wireless Mesh Networks and its performance evaluation. (2014) authored by Sukumar Nandi. Roshan Singh and Sukumar Nandi: An Improved PBFT-Based Consensus Protocol for Industrial IoT. (2023) authored by Sukumar Nandi. Pankaj Choudhury et al.: Image Caption Synthesis for Low Resource Assamese Language using Bi-LSTM with Bilinear Attention. (2023) authored by Sukumar Nandi. Keshab Nath et al.: Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures. (2016) authored by Sukumar Nandi. Mamata Samal et al.: Scalability of correlation clustering. (2018) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Evaluating transport protocol performance over a wireless mesh backbone. (2014) authored by Sukumar Nandi. Zhifei Li et al.: Modeling the short-term unfairness of IEEE 802.11 in presence of hidden terminals. (2006) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Preventing COVID-19 Spread Using Information and Communication Technology. (2021) authored by Sukumar Nandi. Pranav Kumar Singh et al.: CPESP: Cooperative Pseudonym Exchange and Scheme Permutation to preserve location privacy in VANETs. (2019) authored by Sukumar Nandi. Sukanta Dey et al.: Machine Learning Approach for Fast Electromigration Aware Aging Prediction in Incremental Design of Large Scale On-chip Power Grid Network. (2020) authored by Sukumar Nandi. Syam Sankar et al.: TROP: TRust-aware OPportunistic Routing in NoC with Hardware Trojans. (2024) authored by Sukumar Nandi. Bidyut Kr. Patra et al.: A distance based clustering method for arbitrary shaped clusters in large datasets. (2011) authored by Sukumar Nandi. Neminath Hubballi et al.: Network specific false alarm reduction in intrusion detection system. (2011) authored by Sukumar Nandi. Neminath Hubballi et al.: Towards reducing false alarms in network intrusion detection systems with data summarization technique. (2013) authored by Sukumar Nandi. Satyajit Mondal et al.: Energy efficient secure communication architecture for wireless sensor network. (2016) authored by Sukumar Nandi. Debashis Naskar et al.: Emotion Dynamics of Public Opinions on Twitter. (2020) authored by Sukumar Nandi. Suchetana Chakraborty et al.: ADCROSS: Adaptive Data Collection from Road Surveilling Sensors. (2014) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Blockchain-Based Adaptive Trust Management in Internet of Vehicles Using Smart Contract. (2021) authored by Sukumar Nandi. Pranav Kumar Singh et al.: V-CARE: A Blockchain Based Framework for Secure Vehicle Health Record System. (2020) authored by Sukumar Nandi. Sukanta Dey et al.: PowerPlanningDL: Reliability-Aware Framework for On-Chip Power Grid Design using Deep Learning. (2020) authored by Sukumar Nandi. Sunit Kumar Nandi et al.: Evaluating DASH Player QoE with MPTCP in Presence of Packet Loss. (2019) authored by Sukumar Nandi. Debdatta Kandar et al.: A study on the channel bonding in IoT networks: Requirements, applications, and challenges. (2023) authored by Sukumar Nandi. Debdatta Kandar et al.: Smart inter-operable vehicular communication using hybrid IEEE 802.11p, IEEE 802.16d/e technology. (2021) authored by Sukumar Nandi. Sanchita Saha et al.: Secret Image Sharing Schemes: A Comprehensive Survey. (2023) authored by Sukumar Nandi. Sanchita Saha et al.: NTRU and Secret Sharing Based Secure Group Communication for IoT Applications. (2023) authored by Sukumar Nandi. Zhifei Li et al.: ECS: An enhanced carrier sensing mechanism for wireless ad hoc networks. (2005) authored by Sukumar Nandi. Somanath Tripathy and Sukumar Nandi: Defense against outside attacks in wireless sensor networks. (2008) authored by Sukumar Nandi. Mayank Agarwal et al.: Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization. (2016) authored by Sukumar Nandi. Niladri Sett et al.: Temporal link prediction in multi-relational network. (2018) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach. (2022) authored by Sukumar Nandi. Santosh Kumar et al.: Multi-density Clustering Algorithm for Anomaly Detection Using KDD'99 Dataset. (2011) authored by Sukumar Nandi. Niladri Sett et al.: A Time Aware Method for Predicting Dull Nodes and Links in Evolving Networks for Data Cleaning. (2016) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Data rate, path length and network contention trade-off in IEEE 802.11s mesh networks: A dynamic data rate selection approach. (2015) authored by Sukumar Nandi. Sandip Chakraborty et al.: MAC Layer Channel Access and Forwarding in a Directional Multi-Interface Mesh Network. (2015) authored by Sukumar Nandi. Abhijit Sarma et al.: Context Aware Inter-BSS Handoff in IEEE 802.11 Networks: Efficient Resource Utilization and Performance Improvement. (2014) authored by Sukumar Nandi. Sandip Chakraborty et al.: Alleviating Hidden and Exposed Nodes in High-Throughput Wireless Mesh Networks. (2016) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: IEEE 802.11s Mesh Backbone for Vehicular Communication: Fairness and Throughput. (2013) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Dynamic Tree Switching for Distributed Message-Passing Applications. (2015) authored by Sukumar Nandi. Arijit Sur et al.: Steganalysis of Network Packet Length Based Data Hiding. (2013) authored by Sukumar Nandi. Debanjan Roy Chowdhury et al.: Distributed Gateway Selection for Video Streaming in VANET Using IP Multicast. (2022) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Convergecast tree management from arbitrary node failure in sensor network. (2013) authored by Sukumar Nandi. Sandip Chakraborty et al.: Proportional fairness in MAC layer channel access of IEEE 802.11s EDCA based wireless mesh networks. (2013) authored by Sukumar Nandi. Debanjan Roy Chowdhury et al.: Cost-effective live video streaming for internet of connected vehicles using heterogeneous networks. (2024) authored by Sukumar Nandi. Nabajyoti Mazumdar et al.: HDDS: Hierarchical Data Dissemination Strategy for energy optimization in dynamic wireless sensor network under harsh environments. (2021) authored by Sukumar Nandi. Pravati Swain et al.: Performance modeling and evaluation of IEEE 802.11 IBSS power save mode. (2014) authored by Sukumar Nandi. Debdatta Kandar et al.: Performance analysis of lattice reduction-assisted precoder for multi-user millimeter wave MIMO system. (2021) authored by Sukumar Nandi. Niladri Sett et al.: Influence of edge weight on node proximity based link prediction methods: An empirical analysis. (2016) authored by Sukumar Nandi. Bidyut Kr. Patra and Sukumar Nandi: Effective data summarization for hierarchical clustering in large datasets. (2015) authored by Sukumar Nandi. Zhifei Li et al.: Study of IEEE 802.11 Fairness and its Interaction with Routing Mechanism. (2003) authored by Sukumar Nandi. Jiawei Xie et al.: Gateway-based Multicast Protocol for Mobile Ad Hoc Networks. (2003) authored by Sukumar Nandi. Zhi Zhou et al.: A Secure Location Service in Mobile Ad Hoc Networks. (2003) authored by Sukumar Nandi. D. K. Bhattacharryya and Sukumar Nandi: An efficient class of SEC-DED-AUED codes. (1997) authored by Sukumar Nandi. Sukumar Nandi et al.: A VLSI Architecture for Cellular Automata Based Reed-Solomon Decoder. (1999) authored by Sukumar Nandi. Abhijit Sarma et al.: A Zone Based Interleaved Scanning Technique for Fast Handoff in IEEE 802.11 Wireless Networks. (2009) authored by Sukumar Nandi. Nityananda Sarma et al.: Enhancing Route Recovery for QAODV Routing in Mobile Ad Hoc Networks. (2008) authored by Sukumar Nandi. Sunit Kumar Nandi et al.: Evaluating DASH Player QoE with MPTCP in Presence of a Shared Bottleneck Link. (2019) authored by Sukumar Nandi. Soumyadeep G. Dastidar et al.: Detecting Metamorphic Virus Using Hidden Markov Model and Genetic Algorithm. (2011) authored by Sukumar Nandi. Suddhasil De et al.: Formalization of a Fully-Decoupled Reactive Tuple Space Model for Mobile Middleware. (2012) authored by Sukumar Nandi. Keshab Nath et al.: InOvIn: A fuzzy-rough approach for detecting overlapping communities with intrinsic structures in evolving networks. (2020) authored by Sukumar Nandi. Sukanta Dey et al.: PGOpt: Multi-objective design space exploration framework for large-Scale on-chip power grid design in VLSI SoC using evolutionary computing technique. (2021) authored by Sukumar Nandi. Sunil Dutt et al.: Accuracy enhancement of equal segment based approximate adders. (2018) authored by Sukumar Nandi. Bidyut Kr. Patra and Sukumar Nandi: Tolerance Rough Set Theory Based Data Summarization for Clustering Large Datasets. (2011) authored by Sukumar Nandi. Sukumar Nandi and Parimal Pal Chaudhuri: Reply to Comments on \\\"Theory and Application of Cellular Automata in Cryptography\\\". (1997) authored by Sukumar Nandi. Nityananda Sarma and Sukumar Nandi: Route Stability Based QoS Routing in Mobile Ad Hoc Networks. (2010) authored by Sukumar Nandi. Aditya Yadav et al.: Vertical Handover Over Intermediate Switching Framework: Assuring Service Quality for Mobile Users. (2014) authored by Sukumar Nandi. Amitava Nag et al.: Mobile app-based tomato disease identification with fine-tuned convolutional neural networks. (2023) authored by Sukumar Nandi. Nityananda Sarma and Sukumar Nandi: Service differentiation using priority-based MAC protocol in MANETs. (2010) authored by Sukumar Nandi. Suddhasil De et al.: Tuple space enhancements for mobile middleware. (2014) authored by Sukumar Nandi. Nityananda Sarma and Sukumar Nandi: Enhanced service differentiation using priority-based MAC protocol for MANETs. (2012) authored by Sukumar Nandi. Aditya Yadav et al.: Evaluation of the end-to-end TCP performance for vertical handover using intermediate switching network. (2014) authored by Sukumar Nandi. Sandip Chakraborty et al.: Beyond conventional routing protocols: Opportunistic path selection for IEEE 802.11s mesh networks. (2013) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Achieving fairness for multi-class traffic in directional multi-interface IEEE 802.11s MCCA. (2012) authored by Sukumar Nandi. Sounak Paul et al.: A dynamic balanced-energy sleep scheduling scheme in heterogeneous wireless sensor network. (2008) authored by Sukumar Nandi. Swapnil Pathare and Sukumar Nandi: Sahnet: a secure system for ad-hoc networking using ecc. (2007) authored by Sukumar Nandi. Nityananda Sarma and Sukumar Nandi: A priority based QoS-Aware MAC protocol (PQAMP) in mobile ad hoc networks. (2008) authored by Sukumar Nandi. Pinaki Sarkar and Sukumar Nandi: A class of key-node indexed hash chains based key predistribution (KPS): Signed weighted graphs. (2019) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Distributed Service Level Flow Control and Fairness in Wireless Mesh Networks. (2015) authored by Sukumar Nandi. Pravati Swain et al.: Performance Modeling and Analysis of IEEE 802.11 IBSS PSM in Different Traffic Conditions. (2015) authored by Sukumar Nandi. Subhrendu Chattopadhyay et al.: Aloe: Fault-Tolerant Network Management and Orchestration Framework for IoT Applications. (2020) authored by Sukumar Nandi. Abhijit Sarma et al.: Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot. (2014) authored by Sukumar Nandi. Mayank Agarwal et al.: Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack. (2019) authored by Sukumar Nandi. Mayank Agarwal et al.: Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system. (2017) authored by Sukumar Nandi. Madhurima Buragohain and Sukumar Nandi: Quality of Service provisioning in Named Data Networking via PIT entry reservation and PIT replacement policy. (2020) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Impact of redundant sensor deployment over data gathering performance: A model based approach. (2016) authored by Sukumar Nandi. Nabajyoti Mazumdar et al.: An adaptive hierarchical data dissemination mechanism for mobile data collector enabled dynamic wireless sensor network. (2021) authored by Sukumar Nandi. Amrita Bose Paul et al.: MATEM: A unified framework based on trust and MCDM for assuring security, reliability and QoS in DTN routing. (2018) authored by Sukumar Nandi. Saurabh Kumar et al.: IndiSocialFT: Multilingual Word Representation for Indian languages in code-mixed environment. (2023) authored by Sukumar Nandi. Tanima Dutta et al.: MCRD: Motion coherent region detection in H.264 compressed video. (2013) authored by Sukumar Nandi. Puneet Bakshi et al.: Using Digital Tokens to Improve Amortized Performance of eSign. (2018) authored by Sukumar Nandi. Maushumi Barooah et al.: An architectural framework for seamless handoff between IEEE 802.11 and UMTS networks. (2013) authored by Sukumar Nandi. Sandip Chakraborty and Sukumar Nandi: Selective greedy routing: exploring the path diversity in backbone mesh networks. (2014) authored by Sukumar Nandi. Somanath Tripathy and Sukumar Nandi: LCASE: Lightweight Cellular Automata-based Symmetric-key Encryption. (2009) authored by Sukumar Nandi. Abhijit Sarma et al.: Deciding Handover Points Based on Context-Aware Load Balancing in a WiFi-WiMAX Heterogeneous Network Environment. (2016) authored by Sukumar Nandi. Pranav Kumar Singh et al.: MPFSLP: Masqueraded Probabilistic Flooding for Source-Location Privacy in VANETs. (2020) authored by Sukumar Nandi. Mayank Agarwal et al.: Advanced Stealth Man-in-The-Middle Attack in WPA2 Encrypted Wi-Fi Networks. (2015) authored by Sukumar Nandi. Sunil Dutt et al.: Analysis, Modeling and Optimization of Equal Segment Based Approximate Adders. (2019) authored by Sukumar Nandi. Sukumar Nandi et al.: Theory and Applications of Cellular Automata in Cryptography. (1994) authored by Sukumar Nandi. Pravati Swain et al.: Probabilistic model checking of IEEE 802.11 IBSS power save mode. (2014) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: OPTIMIST: Lightweight and Transparent IDS With Optimum Placement Strategy to Mitigate Mixed-Rate DDoS Attacks in IoT Networks. (2023) authored by Sukumar Nandi. Mayank Agarwal et al.: An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks. (2018) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Topology Management Ensuring Reliability in Delay Sensitive Sensor Networks with Arbitrary Node Failures. (2014) authored by Sukumar Nandi. Biswanath Dey et al.: Mobility Assisted Adaptive Clustering Hierarchy for IoT Based Sensor Networks in 5G and Beyond. (2023) authored by Sukumar Nandi. Suchetana Chakraborty et al.: Fault resilience in sensor networks: Distributed node-disjoint multi-path multi-sink forwarding. (2015) authored by Sukumar Nandi. Debanjan Roy Chowdhury et al.: Video streaming over IoV using IP multicast. (2022) authored by Sukumar Nandi. Abhijit Sarma et al.: Context Awarw Mobile Initiated Handoff for Performance Improvement in IEEE 802.11 Networks (2011) authored by Sukumar Nandi. Ferdous A. Barbhuiya et al.: An Active Host-Based Intrusion Detection System for ARP-Related Attacks and its Verification. (2013) authored by Sukumar Nandi. Puneet Bakshi and Sukumar Nandi: Privacy Enhanced DigiLocker using Ciphertext-Policy Attribute-Based Encryption. (2020) authored by Sukumar Nandi. Sukumar Nandi and Aditya Yadav: Cross Layer Adaptation for QoS in WSN (2011) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: Part-of-Speech Tagger for Bodo Language using Deep Learning approach. (2024) authored by Sukumar Nandi. Sumit Kumar et al.: Stage Staffing Scheme for Copyright Protection in Multimedia (2011) authored by Sukumar Nandi. Bidyut Kr. Patra et al.: A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data. (2015) authored by Sukumar Nandi. Pradeepkumar Bhale et al.: Effective injection of adversarial botnet attacks in IoT ecosystem using evolutionary computing. (2023) authored by Sukumar Nandi. Pranav Kumar Singh et al.: An efficient blockchain-based approach for cooperative decision making in swarm robotics. (2020) authored by Sukumar Nandi. Pranav Kumar Singh et al.: A tutorial survey on vehicular communication state of the art, and future research directions. (2019) authored by Sukumar Nandi. Pranav Kumar Singh et al.: Multipath TCP for V2I communication in SDN controlled small cell deployment of smart city. (2019) authored by Sukumar Nandi. Indu Kumari et al.: RFPM: A RSU-aided framework for pseudonym management to preserve location privacy in IoV. (2024) authored by Sukumar Nandi. Somanath Tripathy and Sukumar Nandi: Secure user-identification and key distribution scheme preserving anonymity. (2008) authored by Sukumar Nandi. Paromita Choudhury et al.: An empirical approach towards characterization of encrypted and unencrypted VoIP traffic. (2020) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: Reduplication in Assamese: Identification and Modeling. (2022) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: Part-of-speech Tagger for Assamese Using Ensembling Approach. (2023) authored by Sukumar Nandi. Niladri Sett et al.: Exploiting reciprocity toward link prediction. (2018) authored by Sukumar Nandi. Dhrubajyoti Pathak et al.: AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition. (2022) authored by Sukumar Nandi{'author_wikipedia_text': 'Professor Sukumar Nandi is senior member of IEEE and is in Department of Computer Science and Engineering at the Indian Institute of Technology Guwahati. He did his Ph.D. from IIT Kharagpur under Professor P. Pal Chaudhri. He joined IIT Guwahati,[when?] and has been teaching there since 1995. He is also a member of the Board of Governors of IIT Guwahati.\\\\nHe was appointed the \\\"Dean of Academic Affairs\\\" in IIT Guwahati in 2008, and held the post until 2012. He is now the Deputy Director of IIT Guwahati.[citation needed]'}\",\n \"verbalizer_on_all_triples\": \"Sukumar Nandi's written paper amount in year 2012 is 31.\\nSukumar Nandi's written paper amount in year 2013 is 24.\\nSukumar Nandi has a written paper amount of 19 in 2014.\\nSukumar Nandi has written paper amount in year 2015: 21.\\nSukumar Nandi's written paper amount in year 2016 is 22.\\nSukumar Nandi has written paper amount in year 2017: 13.\\nSukumar Nandi has a written paper amount of 15 in year 2018.\\nSukumar Nandi's written paper amount in year 2019 is 31.\\nSukumar Nandi has written paper amount in year 2020: 11.\\nSukumar Nandi has a written paper amount of 4 in year2021.\\nSukumar Nandi's written paper amount in year 2022 is 5.\\nSukumar Nandi's written paper amount in year2023 is 13.\\nSukumar Nandi has a 2YrMeanCitedness of 2.5999999046325683594.\\nSukumar Nandi is affiliated with the Indian Institute of Technology, Kharagpur, West Bengal, India and Nanyang Technological University, Singapore.\\nSukumar Nandi is also known as \\\"Sukumar Nandi, A. Nandi, S. Nandi, Sunit Kumar Nandi, Arun Kumar Nandi, Nandi\\\".\\nAmrita Bose Paul et al.: Adaptive path selection for high throughput Heterogeneous Wireless Mesh Networks. (2011), Ritesh Ratti et al.: Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique. (2020), Dhrubajyoti Pathak et al.: Reduplication in Assam: Identification and Modeling. (2022), Chinmaya\\nSukumar Nandi has cited a ByCount of 2538.\\nSukumar Nandi et al.: Security and Privacy - Second ISEA International Conference, ISEA-ISAP 2018, Jaipur, India, January, 9-11, 2019, Revised Selected Papers (2019) was edited by Sukumar Nandi.\\nSukumar Nandi has a h-index of 23.\\nSukumar Nandi has a i10Index of 81.\\nSukumar Nandi is the creator and the author of Sukumar Nandi.\\nSukumar Nandi is linked to https://ieeexplore.ieee.org/author/37279938500, http://www.wikidata.org/entity/Q7635913, https://en.wikipedia.org/wiki/Sukumar_Nandi and https://www.iitg.ac.in/engfac/sukumar/public_html/.\\nSukumar Nandi is a member of the Indian Institute of Technology Guwahati.\\nSukumar Nandi was modified on 2023-10-18.\\nSukumar Nandi is the name of Sukumar Nandi.\\nSukumar Nandi has orcidId https://orcid.org/0000-0002-5869-1057.\\nSukumar Nandi is affiliated with the Indian Institute of Technology, Guwahati, India.\\nSukumar Nandi is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=9738354800&partnerID=MN8TOARS.\\nSukumar Nandi has 346 works.{'author_wikipedia_text': 'Professor Sukumar Nandi is senior member of IEEE and is in Department of Computer Science and Engineering at the Indian Institute of Technology Guwahati. He did his Ph.D. from IIT Kharagpur under Professor P. Pal Chaudhri. He joined IIT Guwahati,[when?] and has been teaching there since 1995. He is also a member of the Board of Governors of IIT Guwahati.\\\\nHe was appointed the \\\"Dean of Academic Affairs\\\" in IIT Guwahati in 2008, and held the post until 2012. He is now the Deputy Director of IIT Guwahati.[citation needed]'}\",\n \"verbalizer_plus_evidence_matching\": \"Sukumar Nandi's written paper amount in year 2012 is 31.\\nSukumar Nandi's written paper amount in year 2013 is 24.\\nSukumar Nandi has written paper amount in year 2017: 13.\\nSukumar Nandi's written paper amount in year 2019 is 31.\\nSukumar Nandi has written paper amount in year 2020: 11.\\nSukumar Nandi has a written paper amount of 4 in year2021.\\nSukumar Nandi's written paper amount in year 2022 is 5.\\nSukumar Nandi's written paper amount in year2023 is 13.\\n\\\"Sandip Chakraborty and Sukumar Nandi: Selective greedy routing: exploring the path diversity in backbone mesh networks. (2014), D. K. Bhattacharryya and Sukumar Nandi: An efficient class of SEC-DED-AUED codes. (1997), N. Sudha and Sukumar Nandi: A parallel skeletonization algorithm and its VLSI architecture. (1998), Niteesh Kumar and Sukumar Nandi\\nSukumar Nandi has cited a ByCount of 2538.\\nSukumar Nandi is the creator and the author of Sukumar Nandi.\\nSukumar Nandi is linked to https://ieeexplore.ieee.org/author/37279938500, http://www.wikidata.org/entity/Q7635913, https://www.iitg.ac.in/engfac/sukumar/public_html/ and https://en.wikipedia.org/wiki/Sukumar_Nandi.\\nSukumar Nandi was modified on 2023-10-18.\\nSukumar Nandi has orcidId https://orcid.org/0000-0002-5869-1057.\\nSukumar Nandi is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=9738354800&partnerID=MN8TOARS.\\nSukumar Nandi has 346 works.{'author_wikipedia_text': 'Professor Sukumar Nandi is senior member of IEEE and is in Department of Computer Science and Engineering at the Indian Institute of Technology Guwahati. \\\\nHe was appointed the \\\"Dean of Academic Affairs\\\" in IIT Guwahati in 2008, and held the post until 2012\"\n}"}}},{"rowIdx":83,"cells":{"id":{"kind":"string","value":"a341b86f-0f6e-4e4e-a1d4-8edb37da904a"},"triples_number":{"kind":"number","value":348,"string":"348"},"question":{"kind":"string","value":"How many publications does the writer of the article 'Computer based teaching and learning in statistics' have in her organization?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"26\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"0\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"1.5\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Sally McClean\"\n },\n {\n \"object\": \"Ulster University, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Sally I. 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McClean link https://mathgenealogy.org/id.php?id=189997. Sally I. McClean link https://scholar.google.com/citations?user=gpXTLFEAAAAJ. Sally I. McClean link https://ieeexplore.ieee.org/author/37276790400. Sally I. McClean link https://zbmath.org/authors/?q=ai:mcclean.sally-i. Sally I. McClean link https://mathscinet.ams.org/mathscinet/MRAuthorID/283593. Sally I. McClean link https://en.wikipedia.org/wiki/Sally_McClean. Zhiwei Lin et al.: Tree Similarity Measurement for Classifying Questions by Syntactic Structures. (2016) authored by Sally I. McClean. Sally I. McClean et al.: Using Markov Models for Decision Support in Management of High Occupancy Hospital Care. (2008) authored by Sally I. McClean. Shengli Wu et al.: Regression Relevance Models for Data Fusion. (2007) authored by Sally I. McClean. Timothy Patterson et al.: Integration of Terrain Image Sensing with UAV Safety Management Protocols. (2010) authored by Sally I. McClean. Shuai Zhang et al.: Deriving Relationships between Physiological Change and Activities of Daily Living Using Wearable Sensors. (2010) authored by Sally I. McClean. Monika Joshi et al.: Dense Semantic Graph and its Application in Single Document Summarisation. (2013) authored by Sally I. McClean. Ann E. Smith et al.: Objectivist Evaluation of Intelligent Systems Designed for Medicine: The Inherent Performance Perspective. (2001) authored by Sally I. McClean. Roy Sterritt et al.: Exploring dynamic Bayesian belief networks for intelligent fault management systems. (2000) authored by Sally I. McClean. Huseyin Abaci et al.: Dynamic bit-rate adjustment based on traffic characteristics for metro and core networks. (2011) authored by Sally I. McClean. Abul Bashar et al.: Novel distributed call admission control solution based on machine learning approach. (2011) authored by Sally I. McClean. Naghmeh Moradpoor et al.: Hybrid optical and wireless technology integrations for next generation broadband access networks. (2011) authored by Sally I. McClean. Cathryn Peoples et al.: Context-aware characterisation of energy consumption in data centres. (2011) authored by Sally I. McClean. Cathryn Peoples et al.: Energy aware scheduling across 'green' cloud data centres. (2013) authored by Sally I. McClean. Suleiman Y. Yerima et al.: Modelling and evaluation of a policy-based resource management framework for converged next generation networks. (2011) authored by Sally I. McClean. Loukia Karanikola et al.: Uncertainty reasoning for the Semantic Web based on Dempster-Shafer model. (2013) authored by Sally I. McClean. Naveed Khan et al.: Early Prediction of Complex Business Processes Using Association Rule Based Mining. (2021) authored by Sally I. McClean. Shuai Zhang et al.: Prediction of Assistive Technology Adoption for People with Dementia. (2013) authored by Sally I. McClean. Chunbo Luo et al.: Communication provision for a team of remotely searching UAVs: A mobile relay approach. (2012) authored by Sally I. McClean. William P. Burns et al.: A Smart Garment for Older Walkers. (2012) authored by Sally I. McClean. Leo Galway et al.: Stakeholder Involvement Guidelines to Improve the Design Process of Assistive Technology. (2012) authored by Sally I. McClean. Leo Galway et al.: Utilizing Wearable Sensors to Investigate the Impact of Everyday Activities on Heart Rate. (2011) authored by Sally I. McClean. Phillip J. Hartin et al.: Facilitating Delivery and Remote Monitoring of Behaviour Change Interventions to Reduce Risk of Developing Alzheimer's Disease: The Gray Matters Study. (2015) authored by Sally I. McClean. Xin Hong et al.: Assessment of the Impact of Sensor Failure in the Recognition of Activities of Daily Living. (2008) authored by Sally I. McClean. Chris D. Nugent et al.: Evaluation of Video Reminding Technology for Persons with Dementia. (2011) authored by Sally I. McClean. Graham McCalmont et al.: eZiGait: Toward an AI Gait Analysis And Sssistant System. (2018) authored by Sally I. McClean. Shujaat Hussain et al.: Activity recognition and resource optimization in mobile cloud through MapReduce. (2013) authored by Sally I. McClean. Chunbo Luo et al.: Relaying for 5G: A novel low-error relaying protocol. (2015) authored by Sally I. McClean. Md Israfil Biswas et al.: A Practical Evaluation in Openstack Live Migration of VMs Using 10Gb/s Interfaces. (2016) authored by Sally I. McClean. Petre Kulkarni et al.: Building a controlled delay assured forwarding class in differentiated services networks. (2006) authored by Sally I. McClean. Jianzhong Chen et al.: Hierarchical model-based clustering of relational data with aggregates. (2004) authored by Sally I. McClean. Monika Joshi et al.: Generating Object-Oriented Semantic Graph for Text Summarisation. (2014) authored by Sally I. McClean. Ernest Sithole et al.: Characterization, monitoring and evaluation of operational performance trends on server processor hardware. (2011) authored by Sally I. McClean. Abul Bashar et al.: Learning-Based Call Admission Control Framework for QoS Management in Heterogeneous Networks. (2010) authored by Sally I. McClean. Sally I. McClean et al.: Conceptual Clustering of Heterogeneous Sequences via Schema Mapping. (2002) authored by Sally I. McClean. Aditya Gaur et al.: Smart City Architecture and its Applications Based on IoT. (2015) authored by Sally I. McClean. Bilal Al Momani et al.: Incorporating Knowledge into Unsupervised Model-Based Clustering for Satellite Images. (2007) authored by Sally I. McClean. Yaxin Bi et al.: Multiple Sets of Rules for Text Categorization. (2004) authored by Sally I. McClean. Mingjing Yang et al.: Assessing accelerometer based gait features to support gait analysis for people with complex regional pain syndrome. (2010) authored by Sally I. McClean. Phillip J. Hartin et al.: A smartphone application to evaluate technology adoption and usage in persons with dementia. (2014) authored by Sally I. McClean. Timothy Patterson et al.: A knowledge-driven approach to predicting technology adoption among Persons with Dementia. (2014) authored by Sally I. McClean. Isaac K. E. Ampomah et al.: JASs: Joint Attention Strategies for Paraphrase Generation. (2019) authored by Sally I. McClean. Zhiwei Lin et al.: Measuring Tree Similarity for Natural Language Processing Based Information Retrieval. (2010) authored by Sally I. McClean. Sally I. McClean et al.: Temporal Probabilistic Concepts from Heterogeneous Data Sequences. (2002) authored by Sally I. McClean. Huseyin Abaci et al.: Simulating power saver network links in MATLAB. (2015) authored by Sally I. McClean. Ernest Sithole et al.: Simulation model driven performance evaluation for enterprise applications. (2010) authored by Sally I. McClean. Sally I. McClean et al.: Using Phase-type Models to Monitor and Predict Process Target Compliance. (2019) authored by Sally I. McClean. Jianzhong Chen et al.: Hierarchical Model-Based Clustering for Relational Data. (2004) authored by Sally I. McClean. Jing Ning et al.: 3D Reconstruction from Two Orthogonal Views Using Simulated Annealing Approach. (2001) authored by Sally I. McClean. Yaxin Bi et al.: On Combining Multiple Classifiers Using an Evidential Approach. (2006) authored by Sally I. McClean. Isaac K. E. Ampomah et al.: Gated Task Interaction Framework for Multi-task Sequence Tagging. (2019) authored by Sally I. McClean. Matthew Burns et al.: A Deep Learning and Probabilistic Approach to Recognising Activities of Daily Living with Privacy Preserving Thermal Sensors. (2023) authored by Sally I. McClean. Priyanka Chaurasia et al.: Impact of Medical History on Technology Adoption in Utah Population Database. (2016) authored by Sally I. McClean. Manhyung Han et al.: HARF: A Hierarchical Activity Recognition Framework Using Smartphone Sensors. (2013) authored by Sally I. McClean. Naveed Khan et al.: Parameter Optimization for Online Change Detection in Activity Monitoring Using Multivariate Exponentially Weighted Moving Average (MEWMA). (2015) authored by Sally I. McClean. Naveed Khan et al.: Change Point Detection Using Multivariate Exponentially Weighted Moving Average (MEWMA) for Optimal Parameter in Online Activity Monitoring. (2016) authored by Sally I. McClean. Nixon Nuñez-Perez et al.: Discrete-Event Simulation to Reduce Waiting Time in Accident and Emergency Departments: A Case Study in a District General Clinic. (2017) authored by Sally I. McClean. Miguel Angel Ortiz Barrios et al.: Reducing Appointment Lead-Time in an Outpatient Department of Gynecology and Obstetrics Through Discrete-Event Simulation: A Case Study. (2016) authored by Sally I. McClean. Timothy Patterson et al.: Online Change Detection for Timely Solicitation of User Interaction. (2014) authored by Sally I. McClean. Xin Hong et al.: An Evidential Approach to Integrating Semantically Heterogeneous Distributed Databases. (2006) authored by Sally I. McClean. Bryan W. Scotney et al.: Interoperability and Integration of Independent Heterogeneous Distributed Databases over the Internet. (2006) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Information Retrieval Evaluation with Partial Relevance Judgment. (2006) authored by Sally I. McClean. Shuai Zhang et al.: Knowledge Discovery from Semantically Heterogeneous Aggregate Databases Using Model-Based Clustering. (2007) authored by Sally I. McClean. Timothy Patterson et al.: Utilizing Geographic Information System Data for Unmanned Aerial Vehicle Position Estimation. (2011) authored by Sally I. McClean. Abul Bashar et al.: Machine learning based Call Admission Control approaches: A comparative study. (2010) authored by Sally I. McClean. Suleiman Y. Yerima et al.: A framework for context-driven end-to-end QoS control in Converged Networks. (2010) authored by Sally I. McClean. Miguel Ortíz-Barrios et al.: Discrete-Event Simulation for Performance Evaluation and Improvement of Gynecology Outpatient Departments: A Case Study in the Public Sector. (2019) authored by Sally I. McClean. Adele H. Marshall et al.: Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions. (2000) authored by Sally I. McClean. Sally I. McClean et al.: Using Domain Knowledge to Learn from Heterogeneous Distributed Databases. (2004) authored by Sally I. McClean. Mingjing Yang et al.: Statistical and Machine Learning Approach to Assessing the Environmental Impact on Walking Patterns. (2014) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Evaluation of System Measures for Incomplete Relevance Judgment in IR. (2006) authored by Sally I. McClean. Priyanka Chaurasia et al.: Technology adoption and prediction tools for everyday technologies aimed at people with dementia. (2016) authored by Sally I. McClean. Sonja A. O'Neill et al.: Assessing task compliance following mobile phone-based video reminders. (2011) authored by Sally I. McClean. Md Israfil Biswas et al.: A Policy Based Framework for Software Defined Optical Networks. (2017) authored by Sally I. McClean. Jonathan Etumusei et al.: Estimating Change Intensity and Duration in Human Activity Recognition Using Martingales. (2021) authored by Sally I. McClean. Mingjing Yang et al.: Combining feature ranking with PCA: An application to gait analysis. (2010) authored by Sally I. McClean. Lalit Garg et al.: Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. (2009) authored by Sally I. McClean. Lalit Garg et al.: Optimal Control of Patient Admissions to Satisfy Resource Restrictions. (2008) authored by Sally I. McClean. Dominic E. Holmes et al.: Using Fitt's Law to Model Arm Motion Tracked in 3D by a Leap Motion Controller for Virtual Reality Upper Arm Stroke Rehabilitation. (2016) authored by Sally I. McClean. Naveed Khan et al.: Using Genetic Algorithms for Optimal Change Point Detection in Activity Monitoring. (2016) authored by Sally I. McClean. Sally I. McClean et al.: Markov Model-Based Clustering for Efficient Patient Care. (2005) authored by Sally I. McClean. Sally I. McClean et al.: Using Markov Models to Assess the Performance of a Health and Community Care System. (2006) authored by Sally I. McClean. Sally I. McClean et al.: Using mixed phase-type distributions to model patient pathways. (2010) authored by Sally I. McClean. Sally I. McClean et al.: Using model-based clustering to discretise duration information for activity recognition. (2011) authored by Sally I. McClean. Sally I. McClean et al.: Costing Mixed Coxian Phase-type Systems in a given time interval. (2013) authored by Sally I. McClean. Sally I. McClean et al.: Using Markov Models to Find Interesting Patient Pathways. (2007) authored by Sally I. McClean. Sally I. McClean et al.: Using phase-type models to cost a cohort of stroke patients. (2012) authored by Sally I. McClean. Shuai Zhang et al.: A framework for context-aware online physiological monitoring. (2011) authored by Sally I. McClean. Shuai Zhang et al.: Decision Support for Alzheimer's Patients in Smart Homes. (2008) authored by Sally I. McClean. Dominic E. Holmes et al.: Rehabilitation Game Model for Personalised Exercise. (2015) authored by Sally I. McClean. Sally I. McClean et al.: Characterizing Gene Expression Time Series using a Hidden Markov Model. (2004) authored by Sally I. McClean. Xin Hong et al.: Model-Based Segmentation of Multimodal Images. (2007) authored by Sally I. McClean. Loukia Karanikola et al.: Uncertainty reasoning for the \\\"big data\\\" semantic web. (2014) authored by Sally I. McClean. Bilal Al Momani et al.: Knowledge-based semi-supervised satellite image classification. (2007) authored by Sally I. McClean. Shengli Wu et al.: Applying statistical principles to data fusion in information retrieval. (2007) authored by Sally I. McClean. Miguel Ortíz-Barrios et al.: Using Computer Simulation for Reducing the Appointment Lead-Time in a Public Pediatric Outpatient Department. (2019) authored by Sally I. McClean. Miguel Ortíz-Barrios et al.: Integrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments: A Case Study. (2020) authored by Sally I. McClean. Philip J. Morrow et al.: Wearable Gait Analysis - Stepping Towards the Mainstream. (2020) authored by Sally I. McClean. Phillip J. Hartin et al.: Assessing app quality through expert peer review: A case study from the gray matters study. (2016) authored by Sally I. McClean. William P. Burns et al.: Evaluation of a technology enabled garment for older walkers. (2012) authored by Sally I. McClean. Jianzhong Chen et al.: Learning with Concept Hierarchies in Probabilistic Relational Data Mining. (2002) authored by Sally I. McClean. Conor Clare et al.: Confidence Bound Minimization for Bayesian optimization with Student's-t Processes. (2020) authored by Sally I. McClean. Jonathan Etumusei et al.: Novel Martingale Approaches for Change Point Detection. (2020) authored by Sally I. McClean. Lalit Garg et al.: Forecasting hospital bed requirements and cost of care using phase type survival trees. (2010) authored by Sally I. McClean. Mingjing Yang et al.: Feature selection and construction for the discrimination of neurodegenerative diseases based on gait analysis. (2009) authored by Sally I. McClean. Shuai Zhang et al.: Using duration to learn activities of daily living in a smart home environment. (2010) authored by Sally I. McClean. Adam R. Currie et al.: Truesource: A True Performance for Hierarchical Cloud Monitoring. (2014) authored by Sally I. McClean. Conor McBay et al.: Sustainable Communications Infrastructures in the Cloud - Supporting the Information Economy. (2014) authored by Sally I. McClean. Shuai Zhang et al.: Model-based Clustering on Semantically Heterogeneous Distributed Databases on the Internet. (2006) authored by Sally I. McClean. Zhi Chen et al.: Using Eye Tracking to Gain Insight into TV Customer Experience by Markov Modelling. (2019) authored by Sally I. McClean. David A. Bell et al.: Pragmatic Estimation of Join Sizes and Attribute Correlations. (1989) authored by Sally I. McClean. Michael Milliken et al.: Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. (2023) authored by Sally I. McClean. Chang Liu et al.: Syntactic Information Retrieval. (2007) authored by Sally I. McClean. Hanif Ullah et al.: An optimal UAV deployment algorithm for bridging communication. (2017) authored by Sally I. McClean. Hui Wang et al.: Measuring Similarity for Multidimensional Sequences. (2010) authored by Sally I. McClean. Aaron McConnell et al.: A SLA-compliant Cloud resource allocation framework for N-tier applications. (2012) authored by Sally I. McClean. Bilal Al Momani et al.: Fusion of Elevation Data into Satellite Image Classification Using Refined Production Rules. (2011) authored by Sally I. McClean. Aditya Gaur et al.: COSA: An approach to classifying uncertainty in an ontology tree for sensor data Fusion. (2016) authored by Sally I. McClean. Mamun I. Abu-Tair et al.: Quality of Service Scheme for Intra/Inter-Data Center Communications. (2017) authored by Sally I. McClean. Suleiman Y. Yerima et al.: Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation. (2012) authored by Sally I. McClean. Sally I. McClean et al.: Learning temporal concepts from heterogeneous data sequences. (2003) authored by Sally I. McClean. Md Israfil Biswas et al.: An Efficient Rerouting Approach in Software Defined Networks. (2018) authored by Sally I. McClean. Huaizhong Zhang et al.: MCMC-Based Algorithm to Adjust Scale Bias in Large Series of Electron Microscopical Ultrathin Sections. (2009) authored by Sally I. McClean. Ian Cleland et al.: Mobile Based Prompted Labeling of Large Scale Activity Data. (2013) authored by Sally I. McClean. Ian Cleland et al.: Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project. (2014) authored by Sally I. McClean. Phillip J. Hartin et al.: Identification of Ideal Contexts to Issue Reminders for Persons with Dementia. (2014) authored by Sally I. McClean. Phillip J. Hartin et al.: Encouraging Behavioral Change via Everyday Technologies to Reduce Risk of Developing Alzheimer's Disease. (2014) authored by Sally I. McClean. Rui Zhang et al.: Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis. (2004) authored by Sally I. McClean. Herman Chan et al.: Machine learning and statistical approaches to assessing gait patterns of younger and older healthy adults climbing stairs. (2011) authored by Sally I. McClean. Abul Bashar et al.: Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management. (2010) authored by Sally I. McClean. Priyanka Chaurasia et al.: Incorporating Duration Information in Activity Recognition. (2010) authored by Sally I. McClean. Jennifer Louise Redpath et al.: Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings. (2010) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Data Fusion with Correlation Weights. (2005) authored by Sally I. McClean. Miguel Ortíz-Barrios et al.: Definition of Strategies for the Reduction of Operational Inefficiencies in a Stroke Unit. (2018) authored by Sally I. McClean. Rónán Páircéir et al.: Automated Discovery of Rules and Exeptions from Distributed Databases Using Aggregates. (1999) authored by Sally I. McClean. Sergio Pacheco-Sanchez et al.: Markovian Workload Characterization for QoS Prediction in the Cloud. (2011) authored by Sally I. McClean. Zhiwei Lin et al.: Neighborhood counting for financial time series forecasting. (2009) authored by Sally I. McClean. Noel Wilson and Sally I. McClean: Computer based teaching and learning in statistics. (1995) authored by Sally I. McClean. Parag G. Kulkarni et al.: A Lightweight, Scalable and Distributed Admission Control Algorithm for Voice Traffic. (2007) authored by Sally I. McClean. Philip Perry et al.: Comparison of Analogue and Digital Fronthaul for 5G MIMO Signals. (2020) authored by Sally I. McClean. Abul Bashar et al.: Performance analysis of Bayesian Networks-based distributed Call Admission Control for NGN. (2012) authored by Sally I. McClean. Chunbo Luo et al.: Analysis of coloured noise in received signal strength using the Allan Variance. (2014) authored by Sally I. McClean. Jennifer Louise Redpath et al.: User-based Collaborative Filtering: Sparsity and Performance. (2010) authored by Sally I. McClean. Philip Perry et al.: All-Optical Network Capacity for 5G Cellular Fronthaul. (2019) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Several methods of ranking retrieval systems with partial relevance judgment. (2007) authored by Sally I. McClean. Petre Kulkarni et al.: Deploying Lightweight Queue Management for improving performance of Mobile Ad-hoc Networks (MANETs). (2006) authored by Sally I. McClean. Ernest Sithole et al.: Evaluating Global Optimisation for Data Grids using Replica Location Services. (2006) authored by Sally I. McClean. Sally I. McClean et al.: Metadata with a MISSION: Using Metadata to Query Distributed Statistical Meta-information Syste. (2003) authored by Sally I. McClean. Md Israfil Biswas et al.: SLA-based scheduling of applications for geographically secluded clouds. (2014) authored by Sally I. McClean. Chang Liu et al.: Weighting common syntactic structures for natural language based information retrieval. (2010) authored by Sally I. McClean. Parag G. Kulkarni et al.: Proactive Predictive Queue Management for improved QoS in IP Networks. (2006) authored by Sally I. McClean. Lingkai Yang et al.: Analysing Business Process Anomalies Using Discrete-time Markov chains. (2020) authored by Sally I. McClean. Yaxin Bi et al.: Combining Rules for Text Categorization Using Dempster's Rule of Combination. (2004) authored by Sally I. McClean. Xin Hong et al.: Evidential Integration of Semantically Heterogeneous Aggregates in Distributed Databases with Imprecision. (2006) authored by Sally I. McClean. Hanif Ullah et al.: Connecting Disjoint Nodes Through a UAV-Based Wireless Network for Bridging Communication Using IEEE 802.11 Protocols. (2020) authored by Sally I. McClean. Chris D. Nugent et al.: Managing Sensor Data in Ambient Assisted Living. (2011) authored by Sally I. McClean. Matthew Burns et al.: Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition. (2020) authored by Sally I. McClean. Lalit Garg et al.: Intelligent Patient Management and Resource Planning for Complex, Heterogeneous, and Stochastic Healthcare Systems. (2012) authored by Sally I. McClean. Cathryn Peoples et al.: An Energy Aware Network Management Approach Using Server Profiling in 'Green' Clouds. (2012) authored by Sally I. McClean. Yaxin Bi et al.: Improving Classification Decisions by Multiple Knowledge. (2005) authored by Sally I. McClean. Conor Clare et al.: Expected Regret Minimization for Bayesian Optimization with Student's-t Processes. (2020) authored by Sally I. McClean. Sally I. McClean et al.: Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases. (1998) authored by Sally I. McClean. Rónán Páircéir et al.: Discovery of multi-level rules and exceptions from a distributed database. (2000) authored by Sally I. McClean. Ernest Sithole et al.: Data grid performance analysis through study of replication and storage infrastructure parameters. (2005) authored by Sally I. McClean. Brian Sturgeon et al.: Can the Grid Help to Solve the Data Integration Problems in Molecular Biology? (2003) authored by Sally I. McClean. Zhi Chen et al.: Sequence Mining TV Viewing Data Using Embedded Markov Modelling. (2021) authored by Sally I. McClean. Cathryn Peoples et al.: A Review of IoT Service Provision to Assess the Potential for System Interoperability in an Uncertain Ecosystem. (2019) authored by Sally I. McClean. Zeeshan Tariq et al.: Proactive business process mining for end-state prediction using trace features. (2021) authored by Sally I. McClean. Lingkai Yang et al.: Process Duration Modelling and Concept Drift Detection for Business Process Mining. (2021) authored by Sally I. McClean. W. T. Luke Teacy et al.: Decentralized Bayesian reinforcement learning for online agent collaboration. (2012) authored by Sally I. McClean. Sally I. McClean et al.: Rule discovery for event histories. (2000) authored by Sally I. McClean. Zulfiqar Ali et al.: Protection of records and data authentication based on secret shares and watermarking. (2019) authored by Sally I. McClean. Xin Hong et al.: Evidential fusion of sensor data for activity recognition in smart homes. (2009) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion. (2006) authored by Sally I. McClean. Chunbo Luo et al.: Characterization of Received Signal Strength Perturbations Using Allan Variance. (2018) authored by Sally I. McClean. Jonathan Etumusei et al.: A Novel Martingale Based Model Using a Smartphone to Detect Gait Bout in Human Activity Recognition. (2022) authored by Sally I. McClean. Ian Cleland et al.: Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone. (2014) authored by Sally I. McClean. Huaizhong Zhang et al.: Coupling edge and region-based information for boundary finding in biomedical imagery. (2012) authored by Sally I. McClean. Rafael de Andrade Moral et al.: Profiling Television Watching Behavior Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data. (2022) authored by Sally I. McClean. Shuai Zhang et al.: A Predictive Model for Assistive Technology Adoption for People With Dementia. (2014) authored by Sally I. McClean. Shuai Zhang et al.: Probabilistic Learning From Incomplete Data for Recognition of Activities of Daily Living in Smart Homes. (2012) authored by Sally I. McClean. Rui Zhang et al.: Combining Wavelet Analysis and Bayesian Networks for the Classification of Auditory Brainstem Response. (2006) authored by Sally I. McClean. Jennifer Gillespie et al.: A multi-phase DES modelling framework for patient-centred care. (2016) authored by Sally I. McClean. Florin Gorunescu et al.: A queueing model for bed-occupancy management and planning of hospitals. (2002) authored by Sally I. McClean. Suleiman Y. Yerima et al.: Design and Implementation of a Measurement-Based Policy-Driven Resource Management Framework For Converged Networks. (2016) authored by Sally I. McClean. Priyanka Chaurasia et al.: Modelling assistive technology adoption for people with dementia. (2016) authored by Sally I. McClean. Priyanka Chaurasia et al.: Modelling mobile-based technology adoption among people with dementia. (2022) authored by Sally I. McClean. Zhengui Xue et al.: Quantifying consensus of rankings based on q-support patterns. (2019) authored by Sally I. McClean. Lalit Garg et al.: Using phase type distributions for modelling HIV disease progression. (2012) authored by Sally I. McClean. Rui Zhang et al.: Classification of the Auditory Brainstem Response (ABR) Using Wavelet Analysis and Bayesian Network. (2005) authored by Sally I. McClean. Ajayi Oluwashina Joseph et al.: Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach. (2019) authored by Sally I. McClean. Cathryn Peoples et al.: Building Stakeholder Trust in Internet of Things (IoT) Data Services using Information Service Level Agreements (SLAs). (2019) authored by Sally I. McClean. Priyanka Chaurasia et al.: A duration-based online reminder system. (2014) authored by Sally I. McClean. Priyanka Chaurasia et al.: A duration-based online reminder system. (2014) authored by Sally I. McClean. Aftab Ali et al.: Contributing Features-Based Schemes for Software Defect Prediction. (2019) authored by Sally I. McClean. Naveed Khan et al.: A Generic Model for End State Prediction of Business Processes Towards Target Compliance. (2019) authored by Sally I. McClean. Sally I. McClean et al.: Abnormality Detection in the Cloud Using Correlated Performance Metrics. (2018) authored by Sally I. McClean. Naghmeh Moradpoor et al.: IIDWBA algorithm for integrated hybrid PON with wireless technologies for next generation broadband access networks. (2013) authored by Sally I. McClean. Mark P. Donnelly et al.: A Mobile Multimedia Technology to Aid Those with Alzheimer's Disease. (2010) authored by Sally I. McClean. Zhiwei Lin et al.: A Multidimensional Sequence Approach to Measuring Tree Similarity. (2012) authored by Sally I. McClean. Sally I. McClean et al.: Fusion of Data and Knowledge for Safe UAV Landing. (2012) authored by Sally I. McClean. Sally I. McClean et al.: Agents for Querying Distributed Statistical Databases Over the Internet. (2002) authored by Sally I. McClean. Brahim Allan et al.: Towards automatic placement of media objects in a personalised TV experience. (2022) authored by Sally I. McClean. Hui Wang and Sally I. McClean: Deriving Evidence Theoretical Functions in Multivariate Data Spaces: A Systematic Approach. (2008) authored by Sally I. McClean. Abul Bashar et al.: Application of Bayesian Networks for Autonomic Network Management. (2014) authored by Sally I. McClean. Shuai Zhang et al.: An intervention mechanism for assistive living in smart homes. (2010) authored by Sally I. McClean. F. J. McErlean et al.: The use of simulated annealing for clustering data in databases. (1990) authored by Sally I. McClean. Naveed Khan et al.: Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring. (2023) authored by Sally I. McClean. Ernest Sithole et al.: Cache performance models for quality of service compliance in storage clouds. (2013) authored by Sally I. McClean. Sally I. McClean and Peter H. Millard: Where to treat the older patient? Can Markov models help us better understand the relationship between hospital and community care? (2007) authored by Sally I. McClean. Sally I. McClean et al.: Using a Markov reward model to estimate spend-down costs for a geriatric department. (1998) authored by Sally I. McClean. Timothy Patterson et al.: Timely autonomous identification of UAV safe landing zones. (2014) authored by Sally I. McClean. Sally I. McClean et al.: Knowledge discovery by probabilistic clustering of distributed databases. (2005) authored by Sally I. McClean. Sally I. McClean et al.: Using Background Knowledge in the Aggregation of Imprecise Evidence in Databases. (2000) authored by Sally I. McClean. Bryan W. Scotney et al.: Optimal and Efficient Integration of Heterogeneous Summary Tables in a Distributed Database. (1999) authored by Sally I. McClean. Aditya Gaur et al.: Evidential Sensor Data Fusion in a Smart City Environment. (2015) authored by Sally I. McClean. Shuai Zhang et al.: Clustering semantically heterogeneous distributed aggregate databases. (2014) authored by Sally I. McClean. Suleiman Y. Yerima et al.: Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation. (2013) authored by Sally I. McClean. Pushpinder Kaur Chouhan et al.: Situation Assessment to Secure IoT Applications. (2018) authored by Sally I. McClean. Adam R. Currie et al.: Using Correlations for Application Monitoring in Cloud Computing. (2017) authored by Sally I. McClean. Hanif Ullah et al.: An Unmanned Aerial Vehicle Based Wireless Network for Bridging Communication. (2017) authored by Sally I. McClean. Feng Yu Lin and Sally I. McClean: A data mining approach to the prediction of corporate failure. (2001) authored by Sally I. McClean. Feng Yu Lin and Sally I. McClean: The prediction of financial distress using structured financial data from the internet. (2000) authored by Sally I. McClean. Isaac K. E. Ampomah et al.: Every Layer Counts: Multi-Layer Multi-Head Attention for Neural Machine Translation. (2020) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Performance prediction of data fusion for information retrieval. (2006) authored by Sally I. McClean. Chunbo Luo et al.: UAV Position Estimation and Collision Avoidance Using the Extended Kalman Filter. (2013) authored by Sally I. McClean. Chunbo Luo et al.: A Communication Model to Decouple the Path Planning and Connectivity Optimization and Support Cooperative Sensing. (2014) authored by Sally I. McClean. Sally I. McClean et al.: A Scalable Approach to Integrating Heterogeneous Aggregate Views of Distributed Databases. (2003) authored by Sally I. McClean. Sally I. McClean et al.: Aggregation of Imprecise and Uncertain Information in Databases. (2001) authored by Sally I. McClean. David A. Bell et al.: Application of simulated annealing to clustering tuples in databases. (1990) authored by Sally I. McClean. Parag G. Kulkarni et al.: Lightweight proactive queue management. (2006) authored by Sally I. McClean. Zidong Wang et al.: Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm. (2013) authored by Sally I. McClean. Jennifer Gillespie et al.: Do we need stochastic models for healthcare? The case of ICATS? (2014) authored by Sally I. McClean. Zhi Chen et al.: Process Mining IPTV Customer Eye Gaze Movement Using Discrete-Time Markov Chains. (2023) authored by Sally I. McClean. Zeeshan Tariq et al.: Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis. (2022) authored by Sally I. McClean. Zeeshan Tariq et al.: Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework. (2020) authored by Sally I. McClean. Lingkai Yang et al.: Detecting and Responding to Concept Drift in Business Processes. (2022) authored by Sally I. McClean. Priyanka Chaurasia et al.: Automated lead toxicity prediction using computational modelling framework. (2023) authored by Sally I. McClean. Bryan W. Scotney and Sally I. McClean: Database aggregation of imprecise and uncertain evidence. (2003) authored by Sally I. McClean. Md Israfil Biswas et al.: A SDN-based On-Demand Path Provisioning Approach across Multi-domain Optical Networks. (2018) authored by Sally I. McClean. Marija Gafa et al.: Applications of phase type survival trees in HIV disease progression modelling. (2017) authored by Sally I. McClean. Lalit Garg et al.: Evaluating Different Selection Criteria for Phase Type Survival Tree Construction. (2021) authored by Sally I. McClean. Isaac Kojo Essel Ampomah et al.: Dual contextual module for neural machine translation. (2021) authored by Sally I. McClean. Timothy Patterson et al.: Sensor-Based Change Detection for Timely Solicitation of User Engagement. (2017) authored by Sally I. McClean. Yang Luo et al.: On the Study of Sustainability and Outage of SWIPT-Enabled Wireless Communications. (2021) authored by Sally I. McClean. Chunbo Luo et al.: Hybrid Demodulate-Forward Relay Protocol for Two-Way Relay Channels. (2015) authored by Sally I. McClean. D. Cai et al.: Knowledge discovery in distributed databases using evidence theory. (2000) authored by Sally I. McClean. Herman Chan et al.: Assessing Gait Patterns of Healthy Adults Climbing Stairs Employing Machine Learning Techniques. (2013) authored by Sally I. McClean. Naveed Khan et al.: Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms. (2016) authored by Sally I. McClean. Cathryn Peoples et al.: Bringing IPTV to the Market through Differentiated Service Provisioning. (2006) authored by Sally I. McClean. Sally I. McClean et al.: Integrating semantically heterogeneous aggregate views of distributed databases. (2008) authored by Sally I. McClean. Mingjing Yang et al.: iGAIT: An interactive accelerometer based gait analysis system. (2012) authored by Sally I. McClean. Sally I. McClean et al.: A Negotiation Agent for Distributed Heterogeneous Statistical Databases. (2002) authored by Sally I. McClean. Sally I. McClean et al.: MISSION: An Agent-Based System for Semantic Integration of Heterogeneous Distributed Statistical Information Sources. (2004) authored by Sally I. McClean. Bryan W. Scotney and Sally I. McClean: Knowledge Discovery from Databases on the Semantic Web. (2004) authored by Sally I. McClean. Huaizhong Zhang et al.: A stability approach to convergence of curve evolution methods. (2010) authored by Sally I. McClean. Timothy Patterson et al.: Modelling Safe Landing Zone Detection Options to Assist in Safety Critical UAV Decision Making. (2012) authored by Sally I. McClean. Sally I. McClean and Bryan W. Scotney: Using evidence theory for the integration of distributed databases. (1997) authored by Sally I. McClean. Sally I. McClean et al.: Incorporating domain knowledge into attribute-oriented data mining. (2000) authored by Sally I. McClean. Manhyung Han et al.: A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors. (2014) authored by Sally I. McClean. Sally I. McClean et al.: Using phase-type models to cost stroke patient care across health, social and community services. (2014) authored by Sally I. McClean. Radowanul Haque et al.: Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning. (2024) authored by Sally I. McClean. Joseph Rafferty et al.: A Scalable, Research Oriented, Generic, Sensor Data Platform. (2018) authored by Sally I. McClean. Chunbo Luo et al.: Multiple-source multiple-destinations relay channels with network coding. (2013) authored by Sally I. McClean. Sally I. McClean et al.: A modeling framework that combines markov models and discrete-event simulation for stroke patient care. (2011) authored by Sally I. McClean. Lalit Garg et al.: Phase-Type Survival Trees to Model a Delayed Discharge and Its Effect in a Stroke Care Unit. (2022) authored by Sally I. McClean. Chris P. Brennan et al.: Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury. (2020) authored by Sally I. McClean. Matthew Burns et al.: Fusing Thermopile Infrared Sensor Data for Single Component Activity Recognition within a Smart Environment. (2019) authored by Sally I. McClean. Shengli Wu and Sally I. McClean: Result merging methods in distributed information retrieval with overlapping databases. (2007) authored by Sally I. McClean. Sarabjot S. Anand et al.: Designing a Kernel for Data Mining. (1997) authored by Sally I. McClean. Bilal Ahmad et al.: Economic impact of energy saving techniques in cloud server. (2020) authored by Sally I. McClean. Chunbo Luo et al.: Hybrid Demodulate-Forward Relay Protocol for Two-Way Relay Channels. (2015) authored by Sally I. McClean. Yaxin Bi et al.: A rough set model with ontologies for discovering maximal association rules in document collections. (2003) authored by Sally I. McClean. Sonja O'Neill et al.: Development of a Technology Adoption and Usage Prediction Tool for Assistive Technology for People with Dementia. (2014) authored by Sally I. McClean. Cathryn Peoples et al.: Performance evaluation of green data centre management supporting sustainable growth of the internet of things. (2013) authored by Sally I. McClean. Ernest Sithole et al.: Characterization, monitoring and evaluation of operational performance trends on server processor hardware (abstracts only). (2011) authored by Sally I. McClean. Huseyin Abaci et al.: Using Genetic Algorithms to optimise dynamic power saving in communication links subject to quality of service requirements. (2016) authored by Sally I. McClean. M. H. Sadreddini et al.: Framework for query optimization in distributed statistical databases. (1992) authored by Sally I. McClean. Bryan W. Scotney and Sally I. McClean: Efficient knowledge discovery through the integration of heterogeneous data. (1999) authored by Sally I. McClean. Aftab Ali et al.: Discriminating features-based cost-sensitive approach for software defect prediction. (2021) authored by Sally I. McClean. Shujaat Hussain et al.: Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce. (2014) authored by Sally I. McClean. Ian Cleland et al.: Optimal Placement of Accelerometers for the Detection of Everyday Activities. (2013) authored by Sally I. McClean. Dionicio Neira-Rodado et al.: Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review. (2022) authored by Sally I. McClean. Lalit Garg et al.: Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay. (2011) authored by Sally I. McClean. Lingkai Yang et al.: A multi-components approach to monitoring process structure and customer behaviour concept drift. (2022) authored by Sally I. McClean. Yaxin Bi et al.: Combining rough decisions for intelligent text mining using Dempster's rule. (2006) authored by Sally I. McClean. Sally I. McClean et al.: Conceptual Clustering of Heterogeneous Gene Expression Sequences. (2003) authored by Sally I. McClean. Bilal Al Momani et al.: Using Dempster-Shafer to incorporate knowledge into satellite image classification. (2006) authored by Sally I. McClean. Zhengui Xue et al.: Quantifying consensus of rankings based on q-support patterns. (2020) authored by Sally I. McClean. Suleiman Y. Yerima et al.: A Framework for Context-Driven End-to-End QoS Control in Converged Networks. (2016) authored by Sally I. McClean. Ann E. Smith et al.: Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example. (2003) authored by Sally I. McClean. Isaac K. E. Ampomah et al.: Gated Task Interaction Framework for Multi-task Sequence Tagging. (2019) authored by Sally I. McClean{'author_wikipedia_text': \\\"Sally Ida McClean FRSS is a Northern Irish statistician, computer scientist, and operations researcher. She is a professor of mathematics in the school of computing at Ulster University, and a former president of the Irish Statistical Association. Topics in her research include workforce modeling, health administration, interactive architecture, and survey methodology.\\\\nMcClean was born in Belfast. She earned an MA in mathematics from the University of Oxford in 1970 and an MSc in mathematical statistics and operations research from Cardiff University in 1972. She completed a Ph.D. in 1976 at the Ulster University at Coleraine. Her dissertation, Stochastic models of manpower planning applied to several British and Irish firms, was supervised by Andrew Young.\\\\nMcClean's books include:\\\\nMcClean is a Fellow of the Royal Statistical Society, and Fellow of the Operational Research Society. She was the second president of the Irish Statistical Association, serving as president from 1998 to 2000.\\\"}\",\n \"verbalizer_on_all_triples\": \"Sally McClean's written paper amount in year 2012 is 26.\\nSally McClean wrote 19 papers in 2013.\\nSally McClean wrote 12 papers in 2014.\\nSally McClean's written paper amount in year 2015 is 0.\\nSally McClean wrote 5 papers in 2016.\\nSally McClean wrote 3 papers in 2017.\\nSally McClean has a written paper amount of 0 in year 2018.\\nSally McClean's written paper amount in year 2019 is 0.\\nSally McClean has a written paper amount of 1 in year 2020.\\nSally McClean's written paper amount in year2021 is 3,.\\nSally McClean wrote 10 papers in 2022.\\nSally McClean wrote 2 papers in 2023.\\nSally McClean's 2YrMeanCitedness is 1.5.\\nSally I. McClean is affiliated with Ulster University, UK.\\nSally McClean is also known as M.Si., M. Si, McClean Si, Sally I. McCLEAN, S. I. Mcclean, S. McCLean, S. McClean, Sally I. McClean.\\n\\\"Cathryn Peoples et al.: Energy aware scheduling across 'green' cloud data centres. (2013), Priyanka Chaurasia et al.: Impact of Medical History on Technology Adoption in Utah Population Database. (2016), Suleiman Y. Yerima et al.: Design and Implementation of a Measurement-Based Policy-Driven Resource Management Framework For Converged Networks. (2016), Shuai Zhang et al.: Prediction of Ass\\nSally McClean has cited ByCount of 3886.\\nSally McClean has an h-index of 35.\\nSally McClean has an i10Index of 87.\\nSally I. McClean is the creator of Sally I. McClean. She is the author of Sally I. McClean.\\nSally I. McClean's link is \\\"https://mathgenealogy.org/id.php?id=189997, https://ieeexplore.ieee.org/author/37276790400, https://scholar.google.com/citations?user=gpXTLFEAAAAJ, http://www.ulster.ac.uk/staff/si.mcclean.html, https://mathscine\\nSally McClean is a member of the University of Ulster.\\nSally McClean was modified on 2023-10-18.\\nSally McClean's name is Sally McClean.\\nSally McClean can be found at https://orcid.org/0000-0002-6871-3504.\\nSally I. McClean's primary affiliation is Ulster University, UK.\\nSally McClean is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7005361927&partnerID=MN8TOARS.\\nSally McClean has 252 works count.{'author_wikipedia_text': \\\"Sally Ida McClean FRSS is a Northern Irish statistician, computer scientist, and operations researcher. She is a professor of mathematics in the school of computing at Ulster University, and a former president of the Irish Statistical Association. Topics in her research include workforce modeling, health administration, interactive architecture, and survey methodology.\\\\nMcClean was born in Belfast. She earned an MA in mathematics from the University of Oxford in 1970 and an MSc in mathematical statistics and operations research from Cardiff University in 1972. She completed a Ph.D. in 1976 at the Ulster University at Coleraine. Her dissertation, Stochastic models of manpower planning applied to several British and Irish firms, was supervised by Andrew Young.\\\\nMcClean's books include:\\\\nMcClean is a Fellow of the Royal Statistical Society, and Fellow of the Operational Research Society. She was the second president of the Irish Statistical Association, serving as president from 1998 to 2000.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"Sally McClean's written paper amount in year 2012 is 26.\\nSally McClean wrote 19 papers in 2013.\\nSally McClean wrote 12 papers in 2014.\\nSally McClean wrote 5 papers in 2016.\\nSally McClean wrote 3 papers in 2017.\\nSally McClean's written paper amount in year 2019 is 0.\\nSally McClean has a written paper amount of 1 in year 2020.\\nSally McClean's written paper amount in year2021 is 3,.\\nSally McClean wrote 10 papers in 2022.\\nSally McClean wrote 2 papers in 2023.\\nSally I. McClean is affiliated with Ulster University, UK.\\nShuai Zhang et al.: Using duration to learn activities of daily living in a smart home environment. (2010) was authored by Sally I. McClean, Bryan W. Scotney and Sally I. McClean. Computer based teaching and learning in statistics. (1995) was authored by Sally I. McClean. Yaxin Bi et al.: Improving Classification Decisions by Multiple Knowledge. (2005) was authored by Sally I. McClean.\\nSally McClean is the author.\\nSally I. McClean's link is https://mathgenealogy.org/id.php?id=189997. She is also linked to https://ieeexplore.ieee.org/author/37276790400. She is also linked to https://scholar.google.com/citations?user=gpXTLFEAAAAJ and http://www.wikidata.org/entity/Q39662983.\\nSally McClean is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=7005361927&partnerID=MN8TOARS.\\nSally McClean has 252 works count. She is a professor of mathematics in the school of computing at Ulster University, and a former president of the Irish Statistical Association. Topics in her research include workforce modeling, health administration, interactive architecture, and survey methodology\"\n}"}}},{"rowIdx":84,"cells":{"id":{"kind":"string","value":"f016f27f-db2d-4f38-bd1f-6f3b6b9693c7"},"triples_number":{"kind":"number","value":442,"string":"442"},"question":{"kind":"string","value":"What is the type of the institute where the 'Context Sensitive Stylesheets for Scene Graphs' author is affiliated?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"25\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"23\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"23\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"28\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"3.0\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"University of Stuttgart, Germany\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"Graz University of Technology, Austria\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Dieter Schmalstieg\"\n },\n {\n \"object\": \"D. 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(2021)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jens Grubert et al.: MultiFi: Multi Fidelity Interaction with Displays On and Around the Body. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gernot Schaufler et al.: High Fidelity for Immersive Displays. (1996)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chris Faisstnauer et al.: Scheduling for Very Large Virtual Environments and Networked Games Using Visibility and Priorities. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerd Hesina and Dieter Schmalstieg: A Network Architecture for Remote Rendering. (1998)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Heimo Müller et al.: Connecting Genes with Diseases. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Raphaël Grasset et al.: Interactive Mediated Reality. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: Location based Applications for Mobile Augmented Reality. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mark Billinghurst and Dieter Schmalstieg: Tutorial 2: Developing Augmented Reality Applications. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oliver Bimber et al.: Real Mirrors Reflecting Virtual Worlds. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andreas Hartl et al.: Mobile user interfaces for efficient verification of holograms. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michitaka Hirose et al.: Message from the program chairs. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Denis Kalkofen et al.: Explosion Diagrams in Augmented Reality. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hannes Kaufmann and Dieter Schmalstieg: Designing Immersive Virtual Reality for Geometry Education. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Florian Ledermann and Dieter Schmalstieg: APRIL A High-Level Framework for Creating Augmented Reality Presentations. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Pirchheim et al.: Deskotheque: Improved Spatial Awareness in Multi-Display Environments. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Reitinger et al.: Augmented Reality Scouting for Interactive 3D Reconstruction. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: OpenTracker-An Open Software Architecture for Reconfigurable Tracking Based on XML. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: Flexible Parametrization of Scene Graphs. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: The 2012 virtual reality technical achievement award. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Gerd Hesina: Distributed Applications for Collaborative Augmented Reality. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Tobias Höllerer: Trends in mobile Augmented Reality. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Gernot Schaufler: Smooth levels of detail. (1997)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lucchas Ribeiro Skreinig et al.: AR Hero: Generating Interactive Augmented Reality Guitar Tutorials. (2022)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stanislav L. Stoev et al.: The Through-the-Lens Metaphor: Taxonomy and Application. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Hedgehog labeling: View management techniques for external labels in 3D space. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Dynamic compact visualizations for augmented reality. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eduardo E. Veas and Dieter Schmalstieg: Creating Meaningful Environment Models for Augmented Reality. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: Real-time panoramic mapping and tracking on mobile phones. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner and Dieter Schmalstieg: Handheld Augmented Reality Displays. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Wagner and Dieter Schmalstieg: Muddleware for Prototyping Mixed Reality Multiuser Games. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chadwick A. Wingrave et al.: Mixed Reality: The Continuum from Virtual to Augmented Reality. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eigil Samset et al.: Augmented reality in surgical procedures. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi and Dieter Schmalstieg: Augmented Reality Agents in the Development Pipeline of Computer Entertainment. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Bornik et al.: Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Aimée Sousa Calepso et al.: Exploring Augmented Reality for Situated Analytics with Many Movable Physical Referents. (2023)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Anton L. Fuhrmann et al.: Fast calibration for augmented reality. (1999)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christina Gsaxner et al.: Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. (2021)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerd Hesina et al.: Distributed Open Inventor: a practical approach to distributed 3D graphics. (1999)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: OmniKinect: real-time dense volumetric data acquisition and applications. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Kalkusch and Dieter Schmalstieg: Extending the scene graph with a dataflow visualization system. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ernst Kruijff et al.: Using neuromuscular electrical stimulation for pseudo-haptic feedback. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ernst Kruijff et al.: Tactylus, a pen-input device exploring audiotactile sensory binding. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erick Méndez and Dieter Schmalstieg: Importance masks for revealing occluded objects in augmented reality. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mathias Parger et al.: Human upper-body inverse kinematics for increased embodiment in consumer-grade virtual reality. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: An open software architecture for virtual reality interaction. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Michael Gervautz: Modeling and rendering of outdoor scenes for distributed virtual environments. (1997)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stanislav L. Stoev and Dieter Schmalstieg: Application and taxonomy of through-the-lens techniques. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Gernot Schaufler: Incremental Encoding of Polygonal Models. (1997)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oliver Bimber et al.: The virtual showcase. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Tobias Höllerer: Augmented reality: principles and practice. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: Using perceptual features to prioritize ray-based image generation. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erik Pojar and Dieter Schmalstieg: User-controlled creation of multiresolution meshes. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg et al.: Using transparent props for interaction with the virtual table. (1999)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kerbl et al.: Effective static bin patterns for sort-middle rendering. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jochen Von Spiczak et al.: Device Connectivity for Image-Guided Medical Applications. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: Exploring Tele-Assistance for Cyber-Physical Systems with MAUI. (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christoph Klug et al.: On Using 3D Support Geometries for Measuring Human-Made Corner Structures with a Robotic Total Station. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: Trends and Challenges of Augmented Reality. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: Visualization in the Real World: Confluence of Visualization and Augmented Reality. (2021)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erick Méndez et al.: Focus and Context in Mixed Reality by Modulating First Order Salient Features. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jonathan Ventura et al.: A Minimal Solution to the Generalized Pose-and-Scale Problem. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: MAUI: Tele-assistance for Maintenance of Cyber-physical Systems. 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(2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner et al.: Automatic configuration of spatially consistent mouse pointer navigation in multi-display environments. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oliver Bimber et al.: The virtual showcase. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Donoser et al.: Multiple Model Fitting by Evolutionary Dynamics. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lukas Gruber et al.: Optimization of Target Objects for Natural Feature Tracking. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Joseph Newman et al.: Modelling and Handling Seams in Wide-Area Sensor Networks. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: A Wearable 3D Augmented Reality Workspace. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner and Dieter Schmalstieg: First Steps Towards Handheld Augmented Reality. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jens Grubert et al.: GlassHands: Interaction Around Unmodified Mobile Devices Using Sunglasses. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner et al.: Display-adaptive window management for irregular surfaces. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: Interaktive Planung von Gesichtsimplantaten. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg et al.: Gaze-directed ubiquitous interaction using a Brain-Computer Interface. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: Volume Visualization in the Clinical Practice. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas Geymayer et al.: Visualizing the Effects of Logically Combined Filters. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jens Grubert and Dieter Schmalstieg: Playing it real again: a repeated evaluation of magic lens and static peephole interfaces in public space. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alessandro Mulloni et al.: Zooming interfaces for augmented reality browsers. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alessandro Mulloni et al.: Handheld augmented reality indoor navigation with activity-based instructions. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Clemens Arth et al.: Full 6DOF Pose Estimation from Geo-Located Images. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner et al.: Bridging gaps with pointer warping in multi-display environments. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christoph Klug et al.: Semi-Automatic Registration of a Robotic Total Station and a CAD Model Without Control Points. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christoph Klug et al.: Measurement Uncertainty Analysis of a Robotic Total Station Simulation. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: Stylization-based ray prioritization for guaranteed frame rates. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Compact explosion diagrams. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Gerhard Reitmayr: The World as a User Interface: Augmented Reality for Ubiquitous Computing. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Gervautz and Dieter Schmalstieg: Integrating a scripting language into an interactive animation system. (1994)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi et al.: Remote Collaboration Using Augmented Reality Videoconferencing. (2004)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Valérie Maquil et al.: MR Tent: a place for co-constructing mixed realities in urban planning. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eduardo E. Veas et al.: Techniques for view transition in multi-camera outdoor environments. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner et al.: Visual links across applications. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: VIS Keynote Address : When Visualization Met Augmented Reality. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christina Gsaxner et al.: Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. (2019)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kerbl et al.: Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chris Faisstnauer et al.: Priority Round-Robin Scheduling for Very Large Virtual Environments. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lukas Gruber et al.: Efficient and robust radiance transfer for probeless photorealistic augmented reality. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lukas Gruber et al.: Image-space illumination for augmented reality in dynamic environments. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Tobias Höllerer: Augmented reality: Principles and practice. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralph Schoenfelder and Dieter Schmalstieg: Augmented Reality for Industrial Building Acceptance. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Transitional Augmented Reality navigation for live captured scenes. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Adaptive information density for augmented reality displays. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: Advances in Virtual Reality Streaming. (2022)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oliver Bimber et al.: The Virtual Showcase as a new Platform for Augmented Reality Digital Storytelling ve. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Anton L. Fuhrmann et al.: Strolling Through Cyberspace With Your Hands In Your Pockets: Head Directed Navigation In Virtual Environments. (1998)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Anton L. Fuhrmann et al.: Practical Calibration Procedures for Augmented Reality. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Plopski et al.: Hybrid Eye Tracking: Combining Iris Contour and Corneal Imaging. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stanislav L. Stoev et al.: Two-Handed Through-the-Lens-Techniques for Navigation in Virtual Environments. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Exploring Distant Objects with Augmented Reality. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner et al.: Optical Magic Lenses and Polarization-Based Interaction Techniques. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Wimmer et al.: Fast Walkthroughs with Image Caches and Ray Casting. (1999)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Clemens Arth et al.: Exploiting sensors on mobile phones to improve wide-area localization. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Florian Ledermann and Dieter Schmalstieg: Presenting an Archaeological Site in the Virtual Showcase. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Anton L. Fuhrmann et al.: Collaborative augmented reality: exploring dynamical systems. (1997)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Gall et al.: Interactive planning of miniplates. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi and Dieter Schmalstieg: Ubiquitous animated agents for augmented reality. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: Tracking and Mapping with a Swarm of Heterogeneous Clients. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Raphaël Grasset et al.: Interactive Mediated Reality. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andreas Daniel Hartl et al.: Towards Mobile Recognition and Verification of Holograms Using Orthogonal Sampling. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tobias Höllerer et al.: AR 2.0: Social Augmented Reality - social computing meets Augmented Reality. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manfred Klopschitz and Dieter Schmalstieg: Automatic Reconstruction of Wide-Area Fiducial Marker Models. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Leonel Merino et al.: Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019). (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shohei Mori et al.: 3D PixMix: Image Inpainting in 3D Environments. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alessandro Mulloni et al.: User experiences with augmented reality aided navigation on phones. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thanh Nguyen et al.: Interactive syntactic modeling with a single-point laser range finder and camera. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Pirchheim et al.: Handling pure camera rotation in keyframe-based SLAM. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Reitmayr and Dieter Schmalstieg: Mobile Collaborative Augmented Reality. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas Richter-Trummer et al.: Instant Mixed Reality Lighting from Casual Scanning. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Cledja Rolim et al.: Design Guidelines for Generating Augmented Reality Instructions. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Sareika and Dieter Schmalstieg: Urban Sketcher: Mixed Reality on Site for Urban Planning and Architecture. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Schall et al.: Virtual redlining for civil engineering in real environments. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg et al.: Bridging multiple user interface dimensions with augmented reality. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg and Daniel Wagner: Experiences with Handheld Augmented Reality. (2007)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ana Stanescu et al.: Semantic Segmentation of Geometric Primitives in Dense 3D Point Clouds. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Marco Stranner et al.: A High-Precision Localization Device for Outdoor Augmented Reality. (2019)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Elias Tappeiner et al.: Local optimization for natural feature tracking targets. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: Building your vision with Qualcomm's Mobile Augmented Reality (AR) Platform: AR on mobile devices. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: Pose tracking from natural features on mobile phones. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: Multiple target detection and tracking with guaranteed framerates on mobile phones. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stefan Hauswiesner et al.: Multi-Frame Rate Volume Rendering. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johannes Unterguggenberger et al.: Fast Multi-View Rendering for Real-Time Applications. (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Lex et al.: Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner and Dieter Schmalstieg: Collaborative information linking: Bridging knowledge gaps between users by linking across applications. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manfred Klopschitz et al.: Visual tracking for Augmented Reality. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bruce H. Thomas et al.: Situated Analytics. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: Creating IoT-ready XR-WebApps with Unity3D. (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dieter Schmalstieg: Lodestar: An Octree-Based Level of Detail Generator for VRML. (1997)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi and Dieter Schmalstieg: Augmented reality in the character animation pipeline. (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oliver Bimber et al.: The virtual showcase: a projection-based multi-user augmented reality display. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hannes Kaufmann and Dieter Schmalstieg: Mathematics and geometry education with collaborative augmented reality. (2002)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Joerg H. Mueller et al.: Shading atlas streaming demonstration. (2019)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Gall et al.: Computer-aided planning and reconstruction of cranial 3D implants. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Clemens Holzhüter et al.: Visualizing uncertainty in biological expression data. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christina Gsaxner et al.: The HoloLens in medicine: A systematic review and taxonomy. (2023)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jianning Li et al.: Automatic skull defect restoration and cranial implant generation for cranioplasty. (2021)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Partl et al.: enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tobias Langlotz et al.: Next-Generation Augmented Reality Browsers: Rich, Seamless, and Adaptive. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: HTC Vive MeVisLab integration via OpenVR for medical applications. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Leonel Merino et al.: Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019). (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kerbl et al.: The Broker Queue: A Fast, Linearizable FIFO Queue for Fine-Granular Work Distribution on the GPU. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rostislav Khlebnikov et al.: GPU Based On-the-fly Light Emission-absorption Approximation for Direct Multi-volume Rendering. (2011)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stephan Mantler and Dieter Schmalstieg: Dynamic Load Balancing in Distributed Virtual Environment. (1998)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas Geymayer et al.: Show me the invisible: visualizing hidden content. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Mohr et al.: Retargeting Video Tutorials Showing Tools With Surface Contact to Augmented Reality. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Mohr et al.: TrackCap: Enabling Smartphones for 3D Interaction on Mobile Head-Mounted Displays. (2019)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philip Voglreiter et al.: Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Antonio Pepe et al.: Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. (2020)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philip Voglreiter et al.: Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: Algorithmic evaluation of lower jawbone segmentations. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christina Gsaxner et al.: Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birgit Pfarrkirchner et al.: Lower jawbone data generation for deep learning tools under MeVisLab. (2018)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thomas Geymayer et al.: How Sensemaking Tools Influence Display Space Usage. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christof Sirk et al.: Dynamic Label Placement for Forensic Case Visualization. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: Visionary collaborative outdoor reconstruction using SLAM and SfM. (2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi et al.: MonkeyBridge: autonomous agents in augmented reality games. (2005)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: How real should virtual characters be? (2006)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Donoser and Dieter Schmalstieg: Discriminative Feature-to-Point Matching in Image-Based Localization. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gerhard Schall et al.: 3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christoph Klug et al.: Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Gervautz and Dieter Schmalstieg: Animation and Visualization - Current Status and Trends. (1995)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Wonka et al.: Visibility Preprocessing with Occluder Fusion for Urban Walkthroughs. (2000)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alessandro Mulloni et al.: Indoor navigation with mixed reality world-in-miniature views and sparse localization on mobile devices. (2012)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manuela Waldner and Dieter Schmalstieg: Experiences with mouse control in multi-display environments. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. (2014)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Daniel Wagner et al.: The invisible train: a collaborative handheld augmented reality demonstrator. (2004)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tobias Langlotz et al.: Audio stickies: visually-guided spatial audio annotations on a mobile augmented reality platform. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael Donoser and Dieter Schmalstieg: Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation. 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(2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernhard Kainz et al.: In vivo interactive visualization of four-dimensional blood flow patterns. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andreas Hartl et al.: Instant segmentation and feature extraction for recognition of simple objects on mobile phones. (2010)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alessandro Mulloni et al.: Mobility and social interaction as core gameplay elements in multi-player augmented reality. (2008)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christoph Klug et al.: A Complete Workflow for Automatic Forward Kinematics Model Extraction of Robotic Total Stations Using the Denavit-Hartenberg Convention. (2019)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jens Grubert et al.: The utility of Magic Lens interfaces on handheld devices for touristic map navigation. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Markus Tatzgern et al.: Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented reality. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thanh Nguyen et al.: Structural Modeling from Depth Images. (2015)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ana Stanescu et al.: Model-Free Authoring by Demonstration of Assembly Instructions in Augmented Reality. 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(2016)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Denis Kalkofen et al.: Comprehensible Visualization for Augmented Reality. (2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rostislav Khlebnikov et al.: Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data. (2013)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benjamin Lee et al.: Design Patterns for Situated Visualization in Augmented Reality. (2024)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander Lex et al.: Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets. 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(2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jens Grubert et al.: Towards Interaction Around Unmodified Camera-equipped Mobile Devices. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jan Egger et al.: Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Josef Faller et al.: A feasibility study on SSVEP-based interaction with motivating and immersive virtual and augmented reality. (2017)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Raphaël Grasset et al.: Navigation Techniques in Augmented and Mixed Reality: Crossing the Virtuality Continuum. 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(2009)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi et al.: Collaborative Work with Volumetric Data Using Augmented Reality Videoconferencing. (2003)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"István Barakonyi et al.: Agents That Talk And Hit Back: Animated Agents in Augmented Reality. (2004)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Klaus Dorfmüller-Ulhaas and Dieter Schmalstieg: Finger Tracking for Interaction in Augmented Environments. (2001)\"\n },\n {\n \"object\": \"Dieter Schmalstieg\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philipp Fleck et al.: Scalable Mobile Image Recognition for Real-Time Video Annotation. 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(2008) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: Flexible Parametrization of Scene Graphs. (2005) authored by Dieter Schmalstieg. Manuela Waldner et al.: Visual links across applications. (2010) authored by Dieter Schmalstieg. Michael Kalkusch and Dieter Schmalstieg: Extending the scene graph with a dataflow visualization system. (2006) authored by Dieter Schmalstieg. Philipp Fleck et al.: RagRug: A Toolkit for Situated Analytics. (2023) authored by Dieter Schmalstieg. Christian Partl et al.: Pathfinder: Visual Analysis of Paths in Graphs. (2016) authored by Dieter Schmalstieg. Markus Steinberger et al.: Context-Preserving Visual Links. (2011) authored by Dieter Schmalstieg. Bruce H. Thomas et al.: Situated Analytics. (2018) authored by Dieter Schmalstieg. Alexander Lex et al.: Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets. (2013) authored by Dieter Schmalstieg. Stanislav L. Stoev et al.: The Through-the-Lens Metaphor: Taxonomy and Application. (2002) authored by Dieter Schmalstieg. Dieter Schmalstieg and Jirí Bittner: 28th Annual Conference of the European Association for Computer Graphics, Eurographics 2007 - State of the Art Reports, Prague, Czech Republic, September 3-7, 2007 (2007) edited by Dieter Schmalstieg. Dieter Schmalstieg and Gernot Schaufler: Smooth levels of detail. (1997) authored by Dieter Schmalstieg. Michael Gervautz and Dieter Schmalstieg: Animation and Visualization - Current Status and Trends. (1995) authored by Dieter Schmalstieg. Christof Sirk et al.: Dynamic Label Placement for Forensic Case Visualization. (2017) authored by Dieter Schmalstieg. Erick Méndez and Dieter Schmalstieg: Adaptive Augmented Reality Using Context Markup and Style Maps. (2007) authored by Dieter Schmalstieg. Benjamin Lee et al.: Design Patterns for Situated Visualization in Augmented Reality. (2023) authored by Dieter Schmalstieg. Oliver Bimber et al.: The virtual showcase. (2005) authored by Dieter Schmalstieg. Benjamin Lee et al.: Design Patterns for Situated Visualization in Augmented Reality. (2024) authored by Dieter Schmalstieg. Oliver Bimber et al.: The Virtual Showcase. (2001) authored by Dieter Schmalstieg. Thomas Geymayer et al.: How Sensemaking Tools Influence Display Space Usage. (2017) authored by Dieter Schmalstieg. Thomas Geymayer et al.: How Sensemaking Tools Influence Display Space Usage. (2017) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2016) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2017) authored by Dieter Schmalstieg. Erick Méndez et al.: Interactive context-driven visualization tools for augmented reality. (2006) authored by Dieter Schmalstieg. Gerd Hesina and Dieter Schmalstieg: A Network Architecture for Remote Rendering. (1998) authored by Dieter Schmalstieg. Bernhard Kainz et al.: Volume Visualization in the Clinical Practice. (2011) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2018) authored by Dieter Schmalstieg. Salvatore Andolina et al.: Designing for Mixed Reality Urban Exploration. (2021) authored by Dieter Schmalstieg. Oliver Bimber et al.: The virtual showcase. (2006) authored by Dieter Schmalstieg. Joerg H. Mueller et al.: Shading atlas streaming. (2018) authored by Dieter Schmalstieg. Barrett Ens et al.: Grand Challenges in Immersive Analytics. (2021) authored by Dieter Schmalstieg. Stanislav L. Stoev and Dieter Schmalstieg: Application and taxonomy of through-the-lens techniques. (2002) authored by Dieter Schmalstieg. Michitaka Hirose et al.: Message from the program chairs. (2011) authored by Dieter Schmalstieg. Michael Gervautz and Dieter Schmalstieg: Integrating a scripting language into an interactive animation system. (1994) authored by Dieter Schmalstieg. Neven Abdelaziz Mohamed ElSayed et al.: Agents of MASK: Mobile Analytics from Situated Knowledge. (2024) authored by Dieter Schmalstieg. Marc Streit et al.: Model-Driven Design for the Visual Analysis of Heterogeneous Data. (2012) authored by Dieter Schmalstieg. Thomas Geymayer et al.: Show me the invisible: visualizing hidden content. (2014) authored by Dieter Schmalstieg. Alexander Lex et al.: Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context. (2010) authored by Dieter Schmalstieg. Markus Sareika and Dieter Schmalstieg: Urban Sketcher: Mixed Reality on Site for Urban Planning and Architecture. (2007) authored by Dieter Schmalstieg. István Barakonyi et al.: Agents That Talk And Hit Back: Animated Agents in Augmented Reality. (2004) authored by Dieter Schmalstieg. Okan Erat et al.: Real-Time View Planning for Unstructured Lumigraph Modeling. (2019) authored by Dieter Schmalstieg. Shohei Mori et al.: Good Keyframes to Inpaint. (2023) authored by Dieter Schmalstieg. Alexander Lex et al.: VisBricks: Multiform Visualization of Large, Inhomogeneous Data. (2011) authored by Dieter Schmalstieg. Dieter Schmalstieg link https://scholar.google.com/citations?user=xXu8K6IAAAAJ{'author_wikipedia_text': 'Dieter Schmalstieg is an Austrian computer scientist, full professor, and head of the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology. \\\\nHe is the author of the book \\\"Augmented Reality - Principles and Practice\\\" (with Tobias Höllerer, ISBN\\\\xa0978-0321883575), published by Addison-Wesley in 2016\\\\n\",\n \"plain\": \"Dieter Schmalstieg is Author. Dieter Schmalstieg modified 2023-10-18. Dieter Schmalstieg citedByCount 11376. Dieter Schmalstieg written paper amount in year2012: 30. Dieter Schmalstieg written paper amount in year2012: 30. Dieter Schmalstieg written paper amount in year2013: 25. Dieter Schmalstieg written paper amount in year2013: 25. Dieter Schmalstieg written paper amount in year2014: 29. Dieter Schmalstieg written paper amount in year2014: 29. Dieter Schmalstieg written paper amount in year2015: 23. Dieter Schmalstieg written paper amount in year2015: 23. Dieter Schmalstieg written paper amount in year2016: 29. Dieter Schmalstieg written paper amount in year2016: 29. Dieter Schmalstieg written paper amount in year2017: 28. Dieter Schmalstieg written paper amount in year2017: 28. Dieter Schmalstieg written paper amount in year2018: 29. Dieter Schmalstieg written paper amount in year2018: 29. Dieter Schmalstieg written paper amount in year2019: 13. Dieter Schmalstieg written paper amount in year2019: 13. Dieter Schmalstieg written paper amount in year2020: 15. Dieter Schmalstieg written paper amount in year2020: 15. Dieter Schmalstieg written paper amount in year2021: 14. Dieter Schmalstieg written paper amount in year2021: 14. Dieter Schmalstieg written paper amount in year2022: 6. Dieter Schmalstieg written paper amount in year2022: 6. Dieter Schmalstieg written paper amount in year2023: 11. Dieter Schmalstieg written paper amount in year2023: 11. Dieter Schmalstieg worksCount 564. Dieter Schmalstieg name Dieter Schmalstieg. Dieter Schmalstieg member of Graz University of Technology. Dieter Schmalstieg h-index 55. Dieter Schmalstieg 2YrMeanCitedness 3.0. Dieter Schmalstieg alternativeName D. Schmalstieg. Dieter Schmalstieg alternativeName Dieter Schmalstieg. Dieter Schmalstieg alternativeName Schmalstieg Dieter. Dieter Schmalstieg i10Index 217. Dieter Schmalstieg orcidId https://orcid.org/0000-0003-2813-2235. Dieter Schmalstieg is Creator. Dieter Schmalstieg is Person. Dieter Schmalstieg link http://www.wikidata.org/entity/Q18720236. Dieter Schmalstieg affiliation University of Stuttgart, Germany. Dieter Schmalstieg affiliation Graz University of Technology, Austria. Dieter Schmalstieg link http://www.icg.tu-graz.ac.at/Members/schmalstieg/. Dieter Schmalstieg primary affiliation University of Stuttgart, Germany. Dieter Schmalstieg link http://www.icg.tu-graz.ac.at/Members/schmalstieg/. Dieter Schmalstieg link https://scholar.google.com/citations?user=xXu8K6IAAAAJ. Dieter Schmalstieg link https://mathgenealogy.org/id.php?id=113264. Dieter Schmalstieg link https://en.wikipedia.org/wiki/Dieter_Schmalstieg. Clemens Arth et al.: Geospatial Management and Utilization of Large-Scale Urban Visual Reconstructions. (2013) authored by Dieter Schmalstieg. Rafael Alves Roberto et al.: Incremental Structural Modeling Based on Geometric and Statistical Analyses. (2018) authored by Dieter Schmalstieg. Barrett Ens et al.: Grand Challenges in Immersive Analytics. (2021) authored by Dieter Schmalstieg. Jens Grubert et al.: MultiFi: Multi Fidelity Interaction with Displays On and Around the Body. (2015) authored by Dieter Schmalstieg. Gernot Schaufler et al.: High Fidelity for Immersive Displays. (1996) authored by Dieter Schmalstieg. Chris Faisstnauer et al.: Scheduling for Very Large Virtual Environments and Networked Games Using Visibility and Priorities. (2000) authored by Dieter Schmalstieg. Gerd Hesina and Dieter Schmalstieg: A Network Architecture for Remote Rendering. (1998) authored by Dieter Schmalstieg. Heimo Müller et al.: Connecting Genes with Diseases. (2009) authored by Dieter Schmalstieg. Raphaël Grasset et al.: Interactive Mediated Reality. (2005) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: Location based Applications for Mobile Augmented Reality. (2003) authored by Dieter Schmalstieg. Michitaka Hirose et al.: IEEE Virtual Reality Conference, VR 2011, Singapore, 19-23 March 2011 (2011) edited by Dieter Schmalstieg. Sabine Coquillart et al.: 2013 IEEE Virtual Reality, VR 2013, Lake Buena Vista, FL, USA, March 18-20, 2013 (2013) edited by Dieter Schmalstieg. Mark Billinghurst and Dieter Schmalstieg: Tutorial 2: Developing Augmented Reality Applications. (2002) authored by Dieter Schmalstieg. Oliver Bimber et al.: Real Mirrors Reflecting Virtual Worlds. (2000) authored by Dieter Schmalstieg. Andreas Hartl et al.: Mobile user interfaces for efficient verification of holograms. (2015) authored by Dieter Schmalstieg. Michitaka Hirose et al.: Message from the program chairs. (2011) authored by Dieter Schmalstieg. Denis Kalkofen et al.: Explosion Diagrams in Augmented Reality. (2009) authored by Dieter Schmalstieg. Hannes Kaufmann and Dieter Schmalstieg: Designing Immersive Virtual Reality for Geometry Education. (2006) authored by Dieter Schmalstieg. Florian Ledermann and Dieter Schmalstieg: APRIL A High-Level Framework for Creating Augmented Reality Presentations. (2005) authored by Dieter Schmalstieg. Christian Pirchheim et al.: Deskotheque: Improved Spatial Awareness in Multi-Display Environments. (2009) authored by Dieter Schmalstieg. Bernhard Reitinger et al.: Augmented Reality Scouting for Interactive 3D Reconstruction. (2007) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: OpenTracker-An Open Software Architecture for Reconfigurable Tracking Based on XML. (2001) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: Flexible Parametrization of Scene Graphs. (2005) authored by Dieter Schmalstieg. Dieter Schmalstieg: The 2012 virtual reality technical achievement award. (2013) authored by Dieter Schmalstieg. Dieter Schmalstieg and Gerd Hesina: Distributed Applications for Collaborative Augmented Reality. (2002) authored by Dieter Schmalstieg. Dieter Schmalstieg and Tobias Höllerer: Trends in mobile Augmented Reality. (2012) authored by Dieter Schmalstieg. Dieter Schmalstieg and Gernot Schaufler: Smooth levels of detail. (1997) authored by Dieter Schmalstieg. Lucchas Ribeiro Skreinig et al.: AR Hero: Generating Interactive Augmented Reality Guitar Tutorials. (2022) authored by Dieter Schmalstieg. Stanislav L. Stoev et al.: The Through-the-Lens Metaphor: Taxonomy and Application. (2002) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Hedgehog labeling: View management techniques for external labels in 3D space. (2014) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Dynamic compact visualizations for augmented reality. (2013) authored by Dieter Schmalstieg. Eduardo E. Veas and Dieter Schmalstieg: Creating Meaningful Environment Models for Augmented Reality. (2008) authored by Dieter Schmalstieg. Daniel Wagner et al.: Real-time panoramic mapping and tracking on mobile phones. (2010) authored by Dieter Schmalstieg. Daniel Wagner and Dieter Schmalstieg: Handheld Augmented Reality Displays. (2006) authored by Dieter Schmalstieg. Dieter Wagner and Dieter Schmalstieg: Muddleware for Prototyping Mixed Reality Multiuser Games. (2007) authored by Dieter Schmalstieg. Chadwick A. Wingrave et al.: Mixed Reality: The Continuum from Virtual to Augmented Reality. (2003) authored by Dieter Schmalstieg. Eigil Samset et al.: Augmented reality in surgical procedures. (2008) authored by Dieter Schmalstieg. István Barakonyi and Dieter Schmalstieg: Augmented Reality Agents in the Development Pipeline of Computer Entertainment. (2005) authored by Dieter Schmalstieg. Alexander Bornik et al.: Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment. (2006) authored by Dieter Schmalstieg. Aimée Sousa Calepso et al.: Exploring Augmented Reality for Situated Analytics with Many Movable Physical Referents. (2023) authored by Dieter Schmalstieg. Anton L. Fuhrmann et al.: Fast calibration for augmented reality. (1999) authored by Dieter Schmalstieg. Christina Gsaxner et al.: Inside-Out Instrument Tracking for Surgical Navigation in Augmented Reality. (2021) authored by Dieter Schmalstieg. Gerd Hesina et al.: Distributed Open Inventor: a practical approach to distributed 3D graphics. (1999) authored by Dieter Schmalstieg. Bernhard Kainz et al.: OmniKinect: real-time dense volumetric data acquisition and applications. (2012) authored by Dieter Schmalstieg. Michael Kalkusch and Dieter Schmalstieg: Extending the scene graph with a dataflow visualization system. (2006) authored by Dieter Schmalstieg. Ernst Kruijff et al.: Using neuromuscular electrical stimulation for pseudo-haptic feedback. (2006) authored by Dieter Schmalstieg. Ernst Kruijff et al.: Tactylus, a pen-input device exploring audiotactile sensory binding. (2006) authored by Dieter Schmalstieg. Erick Méndez and Dieter Schmalstieg: Importance masks for revealing occluded objects in augmented reality. (2009) authored by Dieter Schmalstieg. Mathias Parger et al.: Human upper-body inverse kinematics for increased embodiment in consumer-grade virtual reality. (2018) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: An open software architecture for virtual reality interaction. (2001) authored by Dieter Schmalstieg. Dieter Schmalstieg and Michael Gervautz: Modeling and rendering of outdoor scenes for distributed virtual environments. (1997) authored by Dieter Schmalstieg. Stanislav L. Stoev and Dieter Schmalstieg: Application and taxonomy of through-the-lens techniques. (2002) authored by Dieter Schmalstieg. Dieter Schmalstieg and Gernot Schaufler: Incremental Encoding of Polygonal Models. (1997) authored by Dieter Schmalstieg. Oliver Bimber et al.: The virtual showcase. (2005) authored by Dieter Schmalstieg. Dieter Schmalstieg and Tobias Höllerer: Augmented reality: principles and practice. (2016) authored by Dieter Schmalstieg. Bernhard Kainz et al.: Using perceptual features to prioritize ray-based image generation. (2011) authored by Dieter Schmalstieg. Erik Pojar and Dieter Schmalstieg: User-controlled creation of multiresolution meshes. (2003) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Using transparent props for interaction with the virtual table. (1999) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: Effective static bin patterns for sort-middle rendering. (2017) authored by Dieter Schmalstieg. Jochen Von Spiczak et al.: Device Connectivity for Image-Guided Medical Applications. (2007) authored by Dieter Schmalstieg. Philipp Fleck et al.: Exploring Tele-Assistance for Cyber-Physical Systems with MAUI. (2020) authored by Dieter Schmalstieg. Christoph Klug et al.: On Using 3D Support Geometries for Measuring Human-Made Corner Structures with a Robotic Total Station. (2017) authored by Dieter Schmalstieg. Dieter Schmalstieg: Trends and Challenges of Augmented Reality. (2016) authored by Dieter Schmalstieg. Dieter Schmalstieg: Visualization in the Real World: Confluence of Visualization and Augmented Reality. (2021) authored by Dieter Schmalstieg. Jan Egger et al.: Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten. (2015) authored by Dieter Schmalstieg. Erick Méndez et al.: Focus and Context in Mixed Reality by Modulating First Order Salient Features. (2010) authored by Dieter Schmalstieg. Jonathan Ventura et al.: A Minimal Solution to the Generalized Pose-and-Scale Problem. (2014) authored by Dieter Schmalstieg. Philipp Fleck et al.: MAUI: Tele-assistance for Maintenance of Cyber-physical Systems. (2020) authored by Dieter Schmalstieg. Andreas Hartl et al.: Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices. (2015) authored by Dieter Schmalstieg. Andreas Hartl et al.: Client-side Mobile Visual Search. (2014) authored by Dieter Schmalstieg. Mehdi Stapleton et al.: Learning Effective Sparse Sampling Strategies using Deep Active Sensing. (2020) authored by Dieter Schmalstieg. Christian Partl et al.: enRoute: Dynamic path extraction from biological pathway maps for in-depth experimental data analysis. (2012) authored by Dieter Schmalstieg. Manuela Waldner et al.: Importance-driven compositing window management. (2011) authored by Dieter Schmalstieg. Peter Mohr et al.: Retargeting Technical Documentation to Augmented Reality. (2015) authored by Dieter Schmalstieg. Peter Mohr et al.: Mixed Reality Light Fields for Interactive Remote Assistance. (2020) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: 360° panoramic overviews for location-based services. (2012) authored by Dieter Schmalstieg. Eduardo E. Veas et al.: Directing attention and influencing memory with visual saliency modulation. (2011) authored by Dieter Schmalstieg. Daniel Wagner et al.: Towards Massively Multi-user Augmented Reality on Handheld Devices. (2005) authored by Dieter Schmalstieg. Manuela Waldner et al.: Automatic configuration of spatially consistent mouse pointer navigation in multi-display environments. (2010) authored by Dieter Schmalstieg. Oliver Bimber et al.: The virtual showcase. (2006) authored by Dieter Schmalstieg. Michael Donoser et al.: Multiple Model Fitting by Evolutionary Dynamics. (2014) authored by Dieter Schmalstieg. Lukas Gruber et al.: Optimization of Target Objects for Natural Feature Tracking. (2010) authored by Dieter Schmalstieg. Joseph Newman et al.: Modelling and Handling Seams in Wide-Area Sensor Networks. (2006) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: A Wearable 3D Augmented Reality Workspace. (2001) authored by Dieter Schmalstieg. Daniel Wagner and Dieter Schmalstieg: First Steps Towards Handheld Augmented Reality. (2003) authored by Dieter Schmalstieg. Jens Grubert et al.: GlassHands: Interaction Around Unmodified Mobile Devices Using Sunglasses. (2016) authored by Dieter Schmalstieg. Manuela Waldner et al.: Display-adaptive window management for irregular surfaces. (2011) authored by Dieter Schmalstieg. Jan Egger et al.: Interaktive Planung von Gesichtsimplantaten. (2017) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Gaze-directed ubiquitous interaction using a Brain-Computer Interface. (2010) authored by Dieter Schmalstieg. Bernhard Kainz et al.: Volume Visualization in the Clinical Practice. (2011) authored by Dieter Schmalstieg. Thomas Geymayer et al.: Visualizing the Effects of Logically Combined Filters. (2011) authored by Dieter Schmalstieg. Jens Grubert and Dieter Schmalstieg: Playing it real again: a repeated evaluation of magic lens and static peephole interfaces in public space. (2013) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: Zooming interfaces for augmented reality browsers. (2010) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: Handheld augmented reality indoor navigation with activity-based instructions. (2011) authored by Dieter Schmalstieg. Clemens Arth et al.: Full 6DOF Pose Estimation from Geo-Located Images. (2012) authored by Dieter Schmalstieg. Manuela Waldner et al.: Bridging gaps with pointer warping in multi-display environments. (2010) authored by Dieter Schmalstieg. Christoph Klug et al.: Semi-Automatic Registration of a Robotic Total Station and a CAD Model Without Control Points. (2018) authored by Dieter Schmalstieg. Christoph Klug et al.: Measurement Uncertainty Analysis of a Robotic Total Station Simulation. (2018) authored by Dieter Schmalstieg. Bernhard Kainz et al.: Stylization-based ray prioritization for guaranteed frame rates. (2011) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Compact explosion diagrams. (2010) authored by Dieter Schmalstieg. Dieter Schmalstieg and Gerhard Reitmayr: The World as a User Interface: Augmented Reality for Ubiquitous Computing. (2007) authored by Dieter Schmalstieg. Michael Gervautz and Dieter Schmalstieg: Integrating a scripting language into an interactive animation system. (1994) authored by Dieter Schmalstieg. István Barakonyi et al.: Remote Collaboration Using Augmented Reality Videoconferencing. (2004) authored by Dieter Schmalstieg. Valérie Maquil et al.: MR Tent: a place for co-constructing mixed realities in urban planning. (2009) authored by Dieter Schmalstieg. Eduardo E. Veas et al.: Techniques for view transition in multi-camera outdoor environments. (2010) authored by Dieter Schmalstieg. Manuela Waldner et al.: Visual links across applications. (2010) authored by Dieter Schmalstieg. Dieter Schmalstieg: VIS Keynote Address : When Visualization Met Augmented Reality. (2018) authored by Dieter Schmalstieg. Christina Gsaxner et al.: Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. (2019) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: Intervention Planning of Hepatocellular Carcinoma Radio-Frequency Ablations. (2012) authored by Dieter Schmalstieg. Chris Faisstnauer et al.: Priority Round-Robin Scheduling for Very Large Virtual Environments. (2000) authored by Dieter Schmalstieg. Lukas Gruber et al.: Efficient and robust radiance transfer for probeless photorealistic augmented reality. (2014) authored by Dieter Schmalstieg. Lukas Gruber et al.: Image-space illumination for augmented reality in dynamic environments. (2015) authored by Dieter Schmalstieg. Dieter Schmalstieg and Tobias Höllerer: Augmented reality: Principles and practice. (2017) authored by Dieter Schmalstieg. Ralph Schoenfelder and Dieter Schmalstieg: Augmented Reality for Industrial Building Acceptance. (2008) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Transitional Augmented Reality navigation for live captured scenes. (2014) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Adaptive information density for augmented reality displays. (2016) authored by Dieter Schmalstieg. Dieter Schmalstieg: Advances in Virtual Reality Streaming. (2022) authored by Dieter Schmalstieg. Jan Egger et al.: RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts. (2015) authored by Dieter Schmalstieg. Michael Gervautz et al.: Proceedings of the 5th Eurographics Workshop on Virtual Environments, EGVE 1999, Vienna, Austria, May 31 - June 1, 1999 (1999) edited by Dieter Schmalstieg. Michitaka Hirose et al.: Proceedings of the Joint Virtual Reality Conference of EGVE - the 15th Eurographics Symposium on Virtual Environments, ICAT, EuroVR, Lyon, France, 2009. (2009) edited by Dieter Schmalstieg. Oliver Bimber et al.: The Virtual Showcase as a new Platform for Augmented Reality Digital Storytelling ve. (2003) authored by Dieter Schmalstieg. Anton L. Fuhrmann et al.: Strolling Through Cyberspace With Your Hands In Your Pockets: Head Directed Navigation In Virtual Environments. (1998) authored by Dieter Schmalstieg. Anton L. Fuhrmann et al.: Practical Calibration Procedures for Augmented Reality. (2000) authored by Dieter Schmalstieg. Alexander Plopski et al.: Hybrid Eye Tracking: Combining Iris Contour and Corneal Imaging. (2015) authored by Dieter Schmalstieg. Stanislav L. Stoev et al.: Two-Handed Through-the-Lens-Techniques for Navigation in Virtual Environments. (2001) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Exploring Distant Objects with Augmented Reality. (2013) authored by Dieter Schmalstieg. Manuela Waldner et al.: Optical Magic Lenses and Polarization-Based Interaction Techniques. (2007) authored by Dieter Schmalstieg. Michael Wimmer et al.: Fast Walkthroughs with Image Caches and Ray Casting. (1999) authored by Dieter Schmalstieg. Clemens Arth et al.: Exploiting sensors on mobile phones to improve wide-area localization. (2012) authored by Dieter Schmalstieg. Florian Ledermann and Dieter Schmalstieg: Presenting an Archaeological Site in the Virtual Showcase. (2003) authored by Dieter Schmalstieg. Anton L. Fuhrmann et al.: Collaborative augmented reality: exploring dynamical systems. (1997) authored by Dieter Schmalstieg. Markus Gall et al.: Interactive planning of miniplates. (2017) authored by Dieter Schmalstieg. István Barakonyi and Dieter Schmalstieg: Ubiquitous animated agents for augmented reality. (2006) authored by Dieter Schmalstieg. Philipp Fleck et al.: Tracking and Mapping with a Swarm of Heterogeneous Clients. (2015) authored by Dieter Schmalstieg. Raphaël Grasset et al.: Interactive Mediated Reality. (2003) authored by Dieter Schmalstieg. Andreas Daniel Hartl et al.: Towards Mobile Recognition and Verification of Holograms Using Orthogonal Sampling. (2015) authored by Dieter Schmalstieg. Tobias Höllerer et al.: AR 2.0: Social Augmented Reality - social computing meets Augmented Reality. (2009) authored by Dieter Schmalstieg. Manfred Klopschitz and Dieter Schmalstieg: Automatic Reconstruction of Wide-Area Fiducial Marker Models. (2007) authored by Dieter Schmalstieg. Leonel Merino et al.: Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019). (2020) authored by Dieter Schmalstieg. Shohei Mori et al.: 3D PixMix: Image Inpainting in 3D Environments. (2018) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: User experiences with augmented reality aided navigation on phones. (2011) authored by Dieter Schmalstieg. Thanh Nguyen et al.: Interactive syntactic modeling with a single-point laser range finder and camera. (2013) authored by Dieter Schmalstieg. Christian Pirchheim et al.: Handling pure camera rotation in keyframe-based SLAM. (2013) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: Mobile Collaborative Augmented Reality. (2001) authored by Dieter Schmalstieg. Thomas Richter-Trummer et al.: Instant Mixed Reality Lighting from Casual Scanning. (2016) authored by Dieter Schmalstieg. Cledja Rolim et al.: Design Guidelines for Generating Augmented Reality Instructions. (2015) authored by Dieter Schmalstieg. Markus Sareika and Dieter Schmalstieg: Urban Sketcher: Mixed Reality on Site for Urban Planning and Architecture. (2007) authored by Dieter Schmalstieg. Gerhard Schall et al.: Virtual redlining for civil engineering in real environments. (2008) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Bridging multiple user interface dimensions with augmented reality. (2000) authored by Dieter Schmalstieg. Dieter Schmalstieg and Daniel Wagner: Experiences with Handheld Augmented Reality. (2007) authored by Dieter Schmalstieg. Ana Stanescu et al.: Semantic Segmentation of Geometric Primitives in Dense 3D Point Clouds. (2018) authored by Dieter Schmalstieg. Marco Stranner et al.: A High-Precision Localization Device for Outdoor Augmented Reality. (2019) authored by Dieter Schmalstieg. Elias Tappeiner et al.: Local optimization for natural feature tracking targets. (2014) authored by Dieter Schmalstieg. Daniel Wagner et al.: Building your vision with Qualcomm's Mobile Augmented Reality (AR) Platform: AR on mobile devices. (2011) authored by Dieter Schmalstieg. Daniel Wagner et al.: Pose tracking from natural features on mobile phones. (2008) authored by Dieter Schmalstieg. Daniel Wagner et al.: Multiple target detection and tracking with guaranteed framerates on mobile phones. (2009) authored by Dieter Schmalstieg. Stefan Hauswiesner et al.: Multi-Frame Rate Volume Rendering. (2010) authored by Dieter Schmalstieg. Johannes Unterguggenberger et al.: Fast Multi-View Rendering for Real-Time Applications. (2020) authored by Dieter Schmalstieg. Alexander Lex et al.: Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context. (2010) authored by Dieter Schmalstieg. Manuela Waldner and Dieter Schmalstieg: Collaborative information linking: Bridging knowledge gaps between users by linking across applications. (2011) authored by Dieter Schmalstieg. Manfred Klopschitz et al.: Visual tracking for Augmented Reality. (2010) authored by Dieter Schmalstieg. Bruce H. Thomas et al.: Situated Analytics. (2018) authored by Dieter Schmalstieg. Philipp Fleck et al.: Creating IoT-ready XR-WebApps with Unity3D. (2020) authored by Dieter Schmalstieg. Dieter Schmalstieg: Lodestar: An Octree-Based Level of Detail Generator for VRML. (1997) authored by Dieter Schmalstieg. István Barakonyi and Dieter Schmalstieg: Augmented reality in the character animation pipeline. (2006) authored by Dieter Schmalstieg. Oliver Bimber et al.: The virtual showcase: a projection-based multi-user augmented reality display. (2002) authored by Dieter Schmalstieg. Hannes Kaufmann and Dieter Schmalstieg: Mathematics and geometry education with collaborative augmented reality. (2002) authored by Dieter Schmalstieg. Joerg H. Mueller et al.: Shading atlas streaming demonstration. (2019) authored by Dieter Schmalstieg. Jan Egger et al.: Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset. (2018) authored by Dieter Schmalstieg. Markus Gall et al.: Computer-aided planning and reconstruction of cranial 3D implants. (2016) authored by Dieter Schmalstieg. Clemens Holzhüter et al.: Visualizing uncertainty in biological expression data. (2012) authored by Dieter Schmalstieg. Christina Gsaxner et al.: The HoloLens in medicine: A systematic review and taxonomy. (2023) authored by Dieter Schmalstieg. Jianning Li et al.: Automatic skull defect restoration and cranial implant generation for cranioplasty. (2021) authored by Dieter Schmalstieg. Christian Partl et al.: enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets. (2013) authored by Dieter Schmalstieg. Tobias Langlotz et al.: Next-Generation Augmented Reality Browsers: Rich, Seamless, and Adaptive. (2014) authored by Dieter Schmalstieg. Jan Egger et al.: HTC Vive MeVisLab integration via OpenVR for medical applications. (2017) authored by Dieter Schmalstieg. Leonel Merino et al.: Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019). (2020) authored by Dieter Schmalstieg. Jan Egger et al.: In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine. (2018) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: The Broker Queue: A Fast, Linearizable FIFO Queue for Fine-Granular Work Distribution on the GPU. (2018) authored by Dieter Schmalstieg. Dieter Schmalstieg and Jirí Bittner: 28th Annual Conference of the European Association for Computer Graphics, Eurographics 2007 - State of the Art Reports, Prague, Czech Republic, September 3-7, 2007 (2007) edited by Dieter Schmalstieg. Rostislav Khlebnikov et al.: GPU Based On-the-fly Light Emission-absorption Approximation for Direct Multi-volume Rendering. (2011) authored by Dieter Schmalstieg. Stephan Mantler and Dieter Schmalstieg: Dynamic Load Balancing in Distributed Virtual Environment. (1998) authored by Dieter Schmalstieg. Thomas Geymayer et al.: Show me the invisible: visualizing hidden content. (2014) authored by Dieter Schmalstieg. Peter Mohr et al.: Retargeting Video Tutorials Showing Tools With Surface Contact to Augmented Reality. (2017) authored by Dieter Schmalstieg. Peter Mohr et al.: TrackCap: Enabling Smartphones for 3D Interaction on Mobile Head-Mounted Displays. (2019) authored by Dieter Schmalstieg. Philip Voglreiter et al.: Visualization-Guided Evaluation of Simulated Minimally Invasive Cancer Treatment. (2016) authored by Dieter Schmalstieg. Antonio Pepe et al.: Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. (2020) authored by Dieter Schmalstieg. Philip Voglreiter et al.: Volumetric Real-Time Particle-Based Representation of Large Unstructured Tetrahedral Polygon Meshes. (2012) authored by Dieter Schmalstieg. Jan Egger et al.: Algorithmic evaluation of lower jawbone segmentations. (2017) authored by Dieter Schmalstieg. Christina Gsaxner et al.: Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. (2018) authored by Dieter Schmalstieg. Birgit Pfarrkirchner et al.: Lower jawbone data generation for deep learning tools under MeVisLab. (2018) authored by Dieter Schmalstieg. Thomas Geymayer et al.: How Sensemaking Tools Influence Display Space Usage. (2017) authored by Dieter Schmalstieg. Christof Sirk et al.: Dynamic Label Placement for Forensic Case Visualization. (2017) authored by Dieter Schmalstieg. Philipp Fleck et al.: Visionary collaborative outdoor reconstruction using SLAM and SfM. (2016) authored by Dieter Schmalstieg. István Barakonyi et al.: MonkeyBridge: autonomous agents in augmented reality games. (2005) authored by Dieter Schmalstieg. Daniel Wagner et al.: How real should virtual characters be? (2006) authored by Dieter Schmalstieg. Michael Donoser and Dieter Schmalstieg: Discriminative Feature-to-Point Matching in Image-Based Localization. (2014) authored by Dieter Schmalstieg. Gerhard Schall et al.: 3D tracking in unknown environments using on-line keypoint learning for mobile augmented reality. (2008) authored by Dieter Schmalstieg. Christoph Klug et al.: Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes. (2017) authored by Dieter Schmalstieg. Michael Gervautz and Dieter Schmalstieg: Animation and Visualization - Current Status and Trends. (1995) authored by Dieter Schmalstieg. Peter Wonka et al.: Visibility Preprocessing with Occluder Fusion for Urban Walkthroughs. (2000) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: Indoor navigation with mixed reality world-in-miniature views and sparse localization on mobile devices. (2012) authored by Dieter Schmalstieg. Manuela Waldner and Dieter Schmalstieg: Experiences with mouse control in multi-display environments. (2010) authored by Dieter Schmalstieg. Bernhard Kainz et al.: High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. (2014) authored by Dieter Schmalstieg. Daniel Wagner et al.: The invisible train: a collaborative handheld augmented reality demonstrator. (2004) authored by Dieter Schmalstieg. Tobias Langlotz et al.: Audio stickies: visually-guided spatial audio annotations on a mobile augmented reality platform. (2013) authored by Dieter Schmalstieg. Michael Donoser and Dieter Schmalstieg: Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation. (2014) authored by Dieter Schmalstieg. Andreas Hartl et al.: Rapid reconstruction of small objects on mobile phones. (2011) authored by Dieter Schmalstieg. Werner Alexander Isop et al.: Micro Aerial Projector - stabilizing projected images of an airborne robotics projection platform. (2016) authored by Dieter Schmalstieg. Markus Sareika and Dieter Schmalstieg: Bimanual handheld mixed reality interfaces for urban planning. (2010) authored by Dieter Schmalstieg. Stefan Bruckner et al.: The Inverse Warp: Non-Invasive Integration of Shear-Warp Volume Rendering into Polygon Rendering Pipelines. (2003) authored by Dieter Schmalstieg. Bernhard Kainz et al.: In vivo interactive visualization of four-dimensional blood flow patterns. (2009) authored by Dieter Schmalstieg. Andreas Hartl et al.: Instant segmentation and feature extraction for recognition of simple objects on mobile phones. (2010) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: Mobility and social interaction as core gameplay elements in multi-player augmented reality. (2008) authored by Dieter Schmalstieg. Christoph Klug et al.: A Complete Workflow for Automatic Forward Kinematics Model Extraction of Robotic Total Stations Using the Denavit-Hartenberg Convention. (2019) authored by Dieter Schmalstieg. Jens Grubert et al.: The utility of Magic Lens interfaces on handheld devices for touristic map navigation. (2015) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented reality. (2015) authored by Dieter Schmalstieg. Thanh Nguyen et al.: Structural Modeling from Depth Images. (2015) authored by Dieter Schmalstieg. Ana Stanescu et al.: Model-Free Authoring by Demonstration of Assembly Instructions in Augmented Reality. (2022) authored by Dieter Schmalstieg. Clemens Arth et al.: Instant Outdoor Localization and SLAM Initialization from 2.5D Maps. (2015) authored by Dieter Schmalstieg. Christoph Ebner et al.: Off-Axis Layered Displays: Hybrid Direct-View/Near-Eye Mixed Reality with Focus Cues. (2023) authored by Dieter Schmalstieg. Christoph Ebner et al.: Video See-Through Mixed Reality with Focus Cues. (2022) authored by Dieter Schmalstieg. Philipp Fleck et al.: RagRug: A Toolkit for Situated Analytics. (2023) authored by Dieter Schmalstieg. Andreas Daniel Hartl et al.: Efficient Verification of Holograms Using Mobile Augmented Reality. (2016) authored by Dieter Schmalstieg. Denis Kalkofen et al.: Comprehensible Visualization for Augmented Reality. (2009) authored by Dieter Schmalstieg. Rostislav Khlebnikov et al.: Noise-Based Volume Rendering for the Visualization of Multivariate Volumetric Data. (2013) authored by Dieter Schmalstieg. Benjamin Lee et al.: Design Patterns for Situated Visualization in Augmented Reality. (2024) authored by Dieter Schmalstieg. Alexander Lex et al.: Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets. (2013) authored by Dieter Schmalstieg. Alexander Lex et al.: Comparative Analysis of Multidimensional, Quantitative Data. (2010) authored by Dieter Schmalstieg. Jacob B. Madsen et al.: Temporal Coherence Strategies for Augmented Reality Labeling. (2016) authored by Dieter Schmalstieg. Shohei Mori et al.: InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes. (2020) authored by Dieter Schmalstieg. Klaus Mueller and Dieter Schmalstieg: Introducing the IEEE Virtual Reality 2019 Special Issue. (2019) authored by Dieter Schmalstieg. Christian Partl et al.: ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery. (2014) authored by Dieter Schmalstieg. Dieter Schmalstieg: The 2012 Virtual Reality Technical Achievement Award. (2013) authored by Dieter Schmalstieg. Lucchas Ribeiro Skreinig et al.: guitARhero: Interactive Augmented Reality Guitar Tutorials. (2023) authored by Dieter Schmalstieg. Markus Steinberger et al.: Context-Preserving Visual Links. (2011) authored by Dieter Schmalstieg. Marc Streit et al.: Model-Driven Design for the Visual Analysis of Heterogeneous Data. (2012) authored by Dieter Schmalstieg. Marc Streit et al.: Caleydo: connecting pathways and gene expression. (2009) authored by Dieter Schmalstieg. Jens Grubert et al.: Towards Interaction Around Unmodified Camera-equipped Mobile Devices. (2017) authored by Dieter Schmalstieg. Jan Egger et al.: Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images. (2017) authored by Dieter Schmalstieg. Josef Faller et al.: A feasibility study on SSVEP-based interaction with motivating and immersive virtual and augmented reality. (2017) authored by Dieter Schmalstieg. Raphaël Grasset et al.: Navigation Techniques in Augmented and Mixed Reality: Crossing the Virtuality Continuum. (2011) authored by Dieter Schmalstieg. Denis Kalkofen et al.: Visualization Techniques for Augmented Reality. (2011) authored by Dieter Schmalstieg. Fernando Reyes-Aviles et al.: Improving RGB Image Consistency for Depth-Camera based Reconstruction through Image Warping. (2020) authored by Dieter Schmalstieg. Jianning Li et al.: AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. (2021) authored by Dieter Schmalstieg. Tobias Langlotz et al.: Sketching up the world: in situ authoring for mobile Augmented Reality. (2012) authored by Dieter Schmalstieg. Antonio Pepe et al.: Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. (2021) authored by Dieter Schmalstieg. Clemens Arth et al.: Real-time self-localization from panoramic images on mobile devices. (2011) authored by Dieter Schmalstieg. Clemens Arth and Dieter Schmalstieg: Tutorial 1: Global-scale Localization in Outdoor Environments for AR. (2015) authored by Dieter Schmalstieg. Clemens Arth et al.: Wide area localization on mobile phones. (2009) authored by Dieter Schmalstieg. István Barakonyi et al.: Collaborative Work with Volumetric Data Using Augmented Reality Videoconferencing. (2003) authored by Dieter Schmalstieg. István Barakonyi et al.: Agents That Talk And Hit Back: Animated Agents in Augmented Reality. (2004) authored by Dieter Schmalstieg. Klaus Dorfmüller-Ulhaas and Dieter Schmalstieg: Finger Tracking for Interaction in Augmented Environments. (2001) authored by Dieter Schmalstieg. Philipp Fleck et al.: Scalable Mobile Image Recognition for Real-Time Video Annotation. (2016) authored by Dieter Schmalstieg. Raphaël Grasset et al.: Image-driven view management for augmented reality browsers. (2012) authored by Dieter Schmalstieg. Lukas Gruber et al.: The City of Sights: Design, construction, and measurement of an Augmented Reality stage set. (2010) authored by Dieter Schmalstieg. Lukas Gruber et al.: Color harmonization for Augmented Reality. (2010) authored by Dieter Schmalstieg. Lukas Gruber et al.: Real-time photometric registration from arbitrary geometry. (2012) authored by Dieter Schmalstieg. Lukas Gruber et al.: Acceleration methods for radiance transfer in photorealistic augmented reality. (2013) authored by Dieter Schmalstieg. Lukas Gruber et al.: Evaluating the trackability of natural feature-point sets. (2009) authored by Dieter Schmalstieg. Jens Grubert et al.: Towards user perspective augmented reality for public displays. (2014) authored by Dieter Schmalstieg. Jens Grubert et al.: Towards user perspective augmented reality for public displays. (2014) authored by Dieter Schmalstieg. Andreas Hartl et al.: Mobile interactive hologram verification. (2013) authored by Dieter Schmalstieg. Denis Kalkofen et al.: Interactive Focus and Context Visualization for Augmented Reality. (2007) authored by Dieter Schmalstieg. Denis Kalkofen et al.: Adaptive ghosted views for Augmented Reality. (2013) authored by Dieter Schmalstieg. David Mandl et al.: Learning Lightprobes for Mixed Reality Illumination. (2017) authored by Dieter Schmalstieg. Erick Méndez et al.: Interactive context-driven visualization tools for augmented reality. (2006) authored by Dieter Schmalstieg. Erick Méndez and Dieter Schmalstieg: Adaptive Augmented Reality Using Context Markup and Style Maps. (2007) authored by Dieter Schmalstieg. Joerg H. Mueller et al.: Shading Atlas Streaming Demonstration. (2018) authored by Dieter Schmalstieg. Joseph Newman et al.: Ubiquitous Tracking for Augmented Reality. (2004) authored by Dieter Schmalstieg. Christian Poglitsch et al.: A Particle Filter Approach to Outdoor Localization Using Image-Based Rendering. (2015) authored by Dieter Schmalstieg. Georg Reinisch et al.: Panoramic mapping on a mobile phone GPU. (2013) authored by Dieter Schmalstieg. Bernhard Reitinger et al.: Spatial Measurements for Medical Augmented Reality. (2005) authored by Dieter Schmalstieg. Gerhard Reitmayr et al.: WireAR-Legacy Applications in Augmented Reality. (2003) authored by Dieter Schmalstieg. Gerhard Schall et al.: Global pose estimation using multi-sensor fusion for outdoor Augmented Reality. (2009) authored by Dieter Schmalstieg. Dieter Schmalstieg: Augmented Reality Techniques in Games. (2005) authored by Dieter Schmalstieg. Ana Stanescu et al.: State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials. (2023) authored by Dieter Schmalstieg. Daniel Wagner et al.: Robust and unobtrusive marker tracking on mobile phones. (2008) authored by Dieter Schmalstieg. Feng Zheng et al.: Pixel-wise closed-loop registration in video-based augmented reality. (2014) authored by Dieter Schmalstieg. Daniel Wagner et al.: Handheld AR for Collaborative Edutainment. (2006) authored by Dieter Schmalstieg. Oliver Bimber et al.: Real-time view-dependent image warping to correct non-linear distortion for curved Virtual Showcase displays. (2003) authored by Dieter Schmalstieg. Hannes Kaufmann and Dieter Schmalstieg: Mathematics and geometry education with collaborative augmented reality. (2003) authored by Dieter Schmalstieg. Dieter Schmalstieg and Robert F. Tobler: Exploiting coherence in 2.5-D visibility computation. (1997) authored by Dieter Schmalstieg. Michael Wimmer et al.: Fast walkthroughs with image caches and ray casting. (1999) authored by Dieter Schmalstieg. Oliver Bimber et al.: The Virtual Showcase. (2001) authored by Dieter Schmalstieg. L. Miguel Encarnação et al.: Walk-up VR: Virtual Reality beyond Projection Screens. (2000) authored by Dieter Schmalstieg. Chris Faisstnauer et al.: Priority Scheduling for Networked Virtual Environments. (2000) authored by Dieter Schmalstieg. Anton L. Fuhrmann et al.: Collaborative Visualization in Augmented Reality. (1998) authored by Dieter Schmalstieg. Erick Méndez et al.: Generating Semantic 3D Models of Underground Infrastructure. (2008) authored by Dieter Schmalstieg. Bernhard Reitinger et al.: Liver Surgery Planning Using Virtual Reality. (2006) authored by Dieter Schmalstieg. Dieter Schmalstieg and André Stork: Unified Patterns for Realtime Interactive Simulation in Games and Digital Storytelling. (2019) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Managing Complex Augmented Reality Models. (2007) authored by Dieter Schmalstieg. Martin Urschler et al.: Forensic-Case Analysis: From 3D Imaging to Interactive Visualization. (2012) authored by Dieter Schmalstieg. Daniel Wagner and Dieter Schmalstieg: Making Augmented Reality Practical on Mobile Phones, Part 1. (2009) authored by Dieter Schmalstieg. Daniel Wagner and Dieter Schmalstieg: Making Augmented Reality Practical on Mobile Phones, Part 2. (2009) authored by Dieter Schmalstieg. Josef Faller et al.: An Application Framework for Controlling an Avatar in a Desktop-Based Virtual Environment via a Software SSVEP Brain-Computer Interface. (2010) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: The Studierstube Augmented Reality Project. (2002) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Distributed Applications for Collaborative Three-Dimensional Workspaces. (2003) authored by Dieter Schmalstieg. Dieter Schmalstieg and Gernot Schaufler: Sewing Worlds Together with SEAMS: A Mechanism to Construct Complex Virtual Environments. (1999) authored by Dieter Schmalstieg. Ina Wagner et al.: On the Role of Presence in Mixed Reality. (2009) authored by Dieter Schmalstieg. Salvatore Andolina et al.: Designing for Mixed Reality Urban Exploration. (2021) authored by Dieter Schmalstieg. Tobias Langlotz et al.: Online Creation of Panoramic Augmented Reality Annotations on Mobile Phones. (2012) authored by Dieter Schmalstieg. Alessandro Mulloni et al.: Indoor Positioning and Navigation with Camera Phones. (2009) authored by Dieter Schmalstieg. Werner Alexander Isop et al.: High-Level Teleoperation System for Aerial Exploration of Indoor Environments. (2019) authored by Dieter Schmalstieg. Michael Kenzel et al.: On-the-fly Vertex Reuse for Massively-Parallel Software Geometry Processing. (2018) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: Revisiting The Vertex Cache: Understanding and Optimizing Vertex Processing on the modern GPU. (2018) authored by Dieter Schmalstieg. Sabine Coquillart et al.: IEEE Virtual Reality Conference 2013 [table of contents]. (2013) authored by Dieter Schmalstieg. Sabine Coquillart et al.: Message from the Paper Chairs and Guest Editors. (2013) authored by Dieter Schmalstieg. Okan Erat et al.: Real-Time View Planning for Unstructured Lumigraph Modeling. (2019) authored by Dieter Schmalstieg. Okan Erat et al.: Drone-Augmented Human Vision: Exocentric Control for Drones Exploring Hidden Areas. (2018) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2016) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Introducing the IEEE Virtual Reality 2017 Special Issue. (2017) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2017) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Introducing the IEEE Virtual Reality 2018 Special Issue. (2018) authored by Dieter Schmalstieg. Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2018) authored by Dieter Schmalstieg. Lasse H. Hansen et al.: Augmented Reality for Subsurface Utility Engineering, Revisited. (2021) authored by Dieter Schmalstieg. Rostislav Khlebnikov et al.: Crepuscular Rays for Tumor Accessibility Planning. (2011) authored by Dieter Schmalstieg. Shohei Mori et al.: Good Keyframes to Inpaint. (2023) authored by Dieter Schmalstieg. Shohei Mori et al.: Exemplar-Based Inpainting for 6DOF Virtual Reality Photos. (2023) authored by Dieter Schmalstieg. Fernando Reyes-Aviles et al.: Compact World Anchors: Registration Using Parametric Primitives as Scene Description. (2023) authored by Dieter Schmalstieg. Fernando Reyes-Aviles et al.: Bag of World Anchors for Instant Large-Scale Localization. (2023) authored by Dieter Schmalstieg. Eduardo E. Veas et al.: Extended Overview Techniques for Outdoor Augmented Reality. (2012) authored by Dieter Schmalstieg. Jonathan Ventura et al.: Global Localization from Monocular SLAM on a Mobile Phone. (2014) authored by Dieter Schmalstieg. Daniel Wagner et al.: Real-Time Detection and Tracking for Augmented Reality on Mobile Phones. (2010) authored by Dieter Schmalstieg. Mark Dokter et al.: Hierarchical Rasterization of Curved Primitives for Vector Graphics Rendering on the GPU. (2019) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: Hierarchical Bucket Queuing for Fine-Grained Priority Scheduling on the GPU. (2017) authored by Dieter Schmalstieg. Daniel Mlakar et al.: End-to-End Compressed Meshlet Rendering. (2024) authored by Dieter Schmalstieg. Christian Partl et al.: Pathfinder: Visual Analysis of Paths in Graphs. (2016) authored by Dieter Schmalstieg. Dieter Schmalstieg and Michael Gervautz: Demand-Driven Geometry Transmission for Distributed Virtual Environments. (1996) authored by Dieter Schmalstieg. Markus Steinberger et al.: Parallel generation of architecture on the GPU. (2014) authored by Dieter Schmalstieg. Markus Steinberger et al.: On-the-fly generation and rendering of infinite cities on the GPU. (2014) authored by Dieter Schmalstieg. Peter Wonka and Dieter Schmalstieg: Occluder Shadows for Fast Walkthroughs of Urban Environments. (1999) authored by Dieter Schmalstieg. Thomas Geymayer et al.: How Sensemaking Tools Influence Display Space Usage. (2017) authored by Dieter Schmalstieg. Benjamin Lee et al.: Design Patterns for Situated Visualization in Augmented Reality. (2023) authored by Dieter Schmalstieg. István Barakonyi et al.: Cascading Hand and Eye Movement for Augmented Reality Videoconferencing. (2007) authored by Dieter Schmalstieg. Bernhard Reitinger et al.: Spatial Analysis Tools for Virtual Reality-based Surgical Planning. (2006) authored by Dieter Schmalstieg. Ryo Hachiuma et al.: DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. (2019) authored by Dieter Schmalstieg. Dieter Schmalstieg et al.: Augmented Reality 2.0. (2008) authored by Dieter Schmalstieg. Manuela Waldner et al.: Linking unstructured evidence to structured observations. (2021) authored by Dieter Schmalstieg. István Barakonyi and Dieter Schmalstieg: Augmented reality agents for user interface adaptation. (2008) authored by Dieter Schmalstieg. Christina Gsaxner et al.: Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach. (2021) authored by Dieter Schmalstieg. Alexander Bornik et al.: A Hybrid User Interface for Manipulation of Volumetric Medical Data. (2006) authored by Dieter Schmalstieg. Peter Mohr et al.: Adaptive user perspective rendering for Handheld Augmented Reality. (2017) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: A scalable queue for work distribution on GPUs. (2018) authored by Dieter Schmalstieg. Pedro Boechat et al.: Representing and scheduling procedural generation using operator graphs. (2016) authored by Dieter Schmalstieg. Bernhard Kainz et al.: Ray casting of multiple volumetric datasets with polyhedral boundaries on manycore GPUs. (2009) authored by Dieter Schmalstieg. Michael Kenzel et al.: A high-performance software graphics pipeline architecture for the GPU. (2018) authored by Dieter Schmalstieg. Joerg H. Mueller et al.: Temporally Adaptive Shading Reuse for Real-Time Rendering and Virtual Reality. (2021) authored by Dieter Schmalstieg. Markus Steinberger et al.: Softshell: dynamic scheduling on GPUs. (2012) authored by Dieter Schmalstieg. Christian Sandor et al.: Perception in Augmented Reality (NII Shonan Meeting 2016-15). (2016) authored by Dieter Schmalstieg. Oliver Bimber et al.: Augmented Reality with Back-Projection Systems using Transflective Surfaces. (2000) authored by Dieter Schmalstieg. L. Miguel Encarnação et al.: A Translucent Sketchpad for the Virtual Table Exploring Motion-based Gesture Recognition. (1999) authored by Dieter Schmalstieg. Bernhard Kerbl et al.: Interactive Disassembly Planning for Complex Objects. (2015) authored by Dieter Schmalstieg. Rostislav Khlebnikov et al.: Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data. (2012) authored by Dieter Schmalstieg. Rostislav Khlebnikov et al.: Parallel Irradiance Caching for Interactive Monte-Carlo Direct Volume Rendering. (2014) authored by Dieter Schmalstieg. Alexander Lex et al.: StratomeX: Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization. (2012) authored by Dieter Schmalstieg. Thomas Neff et al.: Meshlets and How to Shade Them: A Study on Texture-Space Shading. (2022) authored by Dieter Schmalstieg. Markus Steinberger et al.: Interactive Self-Organizing Windows. (2012) authored by Dieter Schmalstieg. Marc Streit et al.: Navigation and Exploration of Interconnected Pathways. (2008) authored by Dieter Schmalstieg. Neven Abdelaziz Mohamed ElSayed et al.: Agents of MASK: Mobile Analytics from Situated Knowledge. (2024) authored by Dieter Schmalstieg. Christina Gsaxner et al.: The HoloLens in Medicine: A systematic Review and Taxonomy. (2022) authored by Dieter Schmalstieg. Jürgen Wallner et al.: Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. (2018) authored by Dieter Schmalstieg. Alexander Bornik et al.: Clustered Deep Shadow Maps for Integrated Polyhedral and Volume Rendering. (2012) authored by Dieter Schmalstieg. Andreas Hartl et al.: AR-Based Hologram Detection on Security Documents Using a Mobile Phone. (2014) authored by Dieter Schmalstieg. Stefan Hauswiesner et al.: Frame Cache Management for Multi-frame Rate Systems. (2012) authored by Dieter Schmalstieg. Tobias Langlotz et al.: Robust detection and tracking of annotations for outdoor augmented reality browsing. (2011) authored by Dieter Schmalstieg. Ann Morrison et al.: Collaborative use of mobile augmented reality with paper maps. (2011) authored by Dieter Schmalstieg. Markus Steinberger et al.: Ray prioritization using stylization and visual saliency. (2012) authored by Dieter Schmalstieg. Markus Tatzgern et al.: Multi-perspective compact explosion diagrams. (2011) authored by Dieter Schmalstieg. Alexander Lex et al.: VisBricks: Multiform Visualization of Large, Inhomogeneous Data. (2011) authored by Dieter Schmalstieg. Michael Gervautz and Dieter Schmalstieg: Anywhere Interfaces Using Handheld Augmented Reality. (2012) authored by Dieter Schmalstieg. Gerhard Schall et al.: Handheld Augmented Reality for underground infrastructure visualization. (2009) authored by Dieter Schmalstieg. Eduardo E. Veas et al.: Mobile augmented reality for environmental monitoring. (2013) authored by Dieter Schmalstieg. Peter Mohr et al.: Adaptive User Perspective Rendering for Handheld Augmented Reality. (2017) authored by Dieter Schmalstieg. Christina Gsaxner et al.: DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality. (2023) authored by Dieter Schmalstieg. Daniel Pustka et al.: Automatic Configuration of Pervasive Sensor Networks for Augmented Reality. (2011) authored by Dieter Schmalstieg. Mark Billinghurst and Dieter Schmalstieg: Editorial: special issue on augmented reality. (2011) authored by Dieter Schmalstieg. Gerhard Reitmayr and Dieter Schmalstieg: OpenTracker: A flexible software design for three-dimensional interaction. (2005) authored by Dieter Schmalstieg. Zsolt Szalavári et al.: \\\"Studierstube\\\": An environment for collaboration in augmented reality. (1998) authored by Dieter Schmalstieg. Antonio Pepe et al.: Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. (2023) authored by Dieter Schmalstieg. Hannes Kaufmann et al.: Construct3D: A Virtual Reality Application for Mathematics and Geometry Education. (2000) authored by Dieter Schmalstieg. Dieter Schmalstieg and Robert F. Tobler: Fast Projected Area Computation for Three-Dimensional Bounding Boxes. (1999) authored by Dieter Schmalstieg. Joerg H. Mueller et al.: Shading atlas streaming. (2018) authored by Dieter Schmalstieg. Markus Steinberger et al.: Whippletree: task-based scheduling of dynamic workloads on the GPU. (2014) authored by Dieter Schmalstieg. Philip Voglreiter et al.: Trim Regions for Online Computation of From-Region Potentially Visible Sets. (2023) authored by Dieter Schmalstieg. Tomasz Mazuryk et al.: Zoom Rendering: Improving 3-D Rendering Performance with 2-D Operations. (1996) authored by Dieter Schmalstieg. Erick Méndez and Dieter Schmalstieg: Context Sensitive Stylesheets for Scene Graphs. (2008) authored by Dieter Schmalstieg. Jan Egger et al.: US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions. (2016) authored by Dieter Schmalstieg. Jan Egger et al.: Computer-aided position planning of miniplates to treat facial bone defects. (2017) authored by Dieter Schmalstieg. Alexander Hann et al.: Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound. (2017) authored by Dieter Schmalstieg. Jan Egger et al.: Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software. (2017) authored by Dieter Schmalstieg. Michael Kenzel et al.: On-the-fly Vertex Reuse for Massively-Parallel Software Geometry Processing. (2018) authored by Dieter Schmalstieg. Ryo Hachiuma et al.: DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. (2019) authored by Dieter Schmalstieg. Jan Egger et al.: Interactive Volumetry Of Liver Ablation Zones. (2015) authored by Dieter Schmalstieg{'author_wikipedia_text': 'Dieter Schmalstieg is an Austrian computer scientist, full professor, and head of the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology. In 1993 he received a master of science diploma and in 1997 the degree of doctor of technical sciences. Currently he has over 300 peer-reviewed works which were cited over 20,000 times which brought him an h-index of 70.\\\\nHe is the author of the book \\\"Augmented Reality - Principles and Practice\\\" (with Tobias Höllerer, ISBN\\\\xa0978-0321883575), published by Addison-Wesley in 2016\\\\n. A translation into Japanese appeared 2018.\\\\n\\\\nThis article about an Austrian scientist is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_on_all_triples\": \"Dieter Schmalstieg has written paper amount in year 2012: 30.\\nDieter Schmalstieg has a written paper amount of 25 in 2013.\\nDieter Schmalstieg has a written paper amount of 29.\\nDieter Schmalstieg wrote 23 papers in 2015.\\nDieter Schmalstieg has a written paper amount of 29.\\nDieter Schmalstieg has a written paper amount of 28 in 2017.\\nDieter Schmalstieg has a written paper amount of 29 in year 2018.\\nDieter Schmalstieg has a written paper amount of 13 in year 2019.\\nDieter Schmalstieg has a written paper amount of 15 in 2020.\\nDieter Schmalstieg wrote 14 papers in 2021.\\nDieter Schmalstieg has a written paper amount of 6 in year 2022.\\nDieter Schmalstieg wrote 11 papers in 2023.\\nDieter Schmalstieg has a 2YrMeanCitedness of 3.0.\\nDieter Schmalstieg is affiliated with the Graz University of Technology, Austria and the University of Stuttgart, Germany.\\nDieter Schmalstieg is also known as D Schmalstieg and is also known as Schmalstieg Dieter.\\n\\\"Jan Egger et al.: Algorithmic evaluation of lower jawbone segmentations. (2017), Christian Partl et al.: ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery. (2014), Chadwick A. Wingrave et al.: Mixed Reality: The Continuum from Virtual to Augmented Reality. (2003), Markus Sareika and Dieter Schmalstieg: Urban Sketcher: Mixed Reality on Site for Urban\\nDieter Schmalstieg has cited ByCount of 11376.\\nDieter Schmalstieg and Jir<unk> Bittner edited the 28th Annual Conference of the European Association for Computer Graphics, Eurographics 2007 - State of the Art Reports, Prague, Czech Republic, September 3-7, 2007 (2007). He also edited Sabine Coquillart et al.: 2013 IEEE Virtual Reality, VR 2013, Lake Buena Vista, FL, USA, March 18-20, 2013 (2013). He also edited Michael Gervautz et al.: Proceedings of the 5th Eurographics\\nDieter Schmalstieg has an h-index of 55.\\nDieter Schmalstieg has i10Index 217.\\nDieter Schmalstieg is the creator and the author of Dieter Schmalstieg.\\nDieter Schmalstieg is linked to http://www.icg.tu-graz.ac.at/Members/schmalstieg/, https://en.wikipedia.org/wiki/Dieter_Schmalstieg, https://scholar.google.com/citations?user=xXu8K6IAAAAJ, http://www.wikidata.org/entity/Q18720236, http://mathgenealogy.org/id.php?i\\nDieter Schmalstieg is a member of the Graz University of Technology.\\nDieter Schmalstieg was modified on 2023-10-18.\\nThe name of Dieter Schmalstieg is \\\"Dieter Schmalstieg\\\".\\nDieter Schmalstieg can be found at https://orcid.org/0000-0003-2813-2235.\\nDieter Schmalstieg is affiliated with the University of Stuttgart, Germany.\\nDieter Schmalstieg has 564 works.{'author_wikipedia_text': 'Dieter Schmalstieg is an Austrian computer scientist, full professor, and head of the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology. In 1993 he received a master of science diploma and in 1997 the degree of doctor of technical sciences. Currently he has over 300 peer-reviewed works which were cited over 20,000 times which brought him an h-index of 70.\\\\nHe is the author of the book \\\"Augmented Reality - Principles and Practice\\\" (with Tobias Höllerer, ISBN\\\\xa0978-0321883575), published by Addison-Wesley in 2016\\\\n. A translation into Japanese appeared 2018.\\\\n\\\\nThis article about an Austrian scientist is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Oliver Bimber et al.: The virtual showcase. (2006), Leila De Floriani and Dieter Schmalstieg: Message from the Editor-in-Chief and from the Associate Editor-in-Chief. (2018), Alexander Lex et al.: Caleydo: Design and evaluation of a visual analysis framework for gene expression data in its biological context. (2010), Christof Sirk et al.: Dynamic Label Placement for Forensic Case\\nDieter Schmalstieg and Jir<unk> Bittner: 28th Annual Conference of the European Association for Computer Graphics, Eurographics 2007 - State of the Art Reports, Prague, Czech Republic, September 3-7, 2007 (2007) was edited by Dieter Schmalstieg.\\nDieter Schmalstieg can be found at https://scholar.google.com/citations?user=xXu8K6IAAAAJ.{'author_wikipedia_text': 'Dieter Schmalstieg is an Austrian computer scientist, full professor, and head of the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology. \\\\nHe is the author of the book \\\"Augmented Reality - Principles and Practice\\\" (with Tobias Höllerer, ISBN\\\\xa0978-0321883575), published by Addison-Wesley in 2016\\\\n\"\n}"}}},{"rowIdx":85,"cells":{"id":{"kind":"string","value":"19b94086-1110-4027-8913-aab26d6709ec"},"triples_number":{"kind":"number","value":329,"string":"329"},"question":{"kind":"string","value":"What is the number of publications for the institution where the contributor of 'Two-Floodlight Illumination of Convex Polygons' works?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"0.20000000298023223877\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"University of Ottawa, Ontario, Canada\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"J. Urrutia\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"Jorge Vicente González Urrutia\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"Urrutia Jorge\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Jorge Urrutia\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: Galleries, Light Matchings and Visibility Graphs. (1989)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: Immobilizing a Polytope. (1991)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Vladimir Estivill-Castro and Jorge Urrutia: Two-Floodlight Illumination of Convex Polygons. (1995)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: The Aquarium Keeper's Problem. (1991)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bernardo M. Ábrego et al.: Matching Points with Circles and Squares. (2004)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oswin Aichholzer et al.: Playing with Triangulations. (2002)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jin Akiyama et al.: Universal Measuring Devices without Gradations. (2000)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jin Akiyama et al.: Flat 2-Foldings of Convex Polygons. (2003)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jin Akiyama et al.: Radial Perfect Partitions of Convex Sets in the Plane. 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(2005)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Prosenjit Bose et al.: Routing with guaranteed delivery in ad hoc wireless networks. (1999)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jin Akiyama and Jorge Urrutia: Simple alternating path problem. (1990)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Victor Neumann-Lara and Jorge Urrutia: Vertex critical r-dichromatic tournaments. (1984)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jesús Leaños et al.: Simple Euclidean Arrangements with No (>= 5)-Gons. (2007)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Juan C. Catana-Salazar et al.: Plane augmentation of plane graphs to meet parity constraints. 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(2017)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Patrice Belleville et al.: K-Guarding Polygons on the Plane. (1994)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jean-Daniel Boissonnat et al.: Computing Largest Circles Separating Two Sets of Segments. (1996)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralph P. Boland and Jorge Urrutia: Circular Ray Shooting: Slower but Surer. (2000)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralph P. Boland and Jorge Urrutia: Polygon Area Problems. (2000)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralph P. Boland and Jorge Urrutia: A simpler circular ray shooting algorithm. (2001)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ralph P. Boland and Jorge Urrutia: Finding the largest axis aligned rectangle in a polygon in o(n log n) time. (2001)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Prosenjit Bose et al.: The Floodlight Problem. (1993)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Javier Cano et al.: Edge Guards for Polyhedra in 3-Space. (2012)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Netzahualcoyotl Castañeda and Jorge Urrutia: Straight Line Embeddings of Planar Graphs on Point Sets. (1996)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Danny Z. Chen et al.: Optimal guarding of polygons and monotone chains. (1995)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christian Chenier and Jorge Urrutia: Shortest paths in convex and simple weighted polygons. (1995)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jared Ray Coleman et al.: Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots. (2020)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Felipe Contreras et al.: Illuminating triangles and quadrilaterals with vertex floodlights. (1998)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"György Csizmadia et al.: Domino tilings of orthogonal polygons. (1999)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: On measuring areas of polygons. (1998)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: Maximal Length Common Non-intersecting Paths. 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(1994)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Maia Fraser et al.: Memory Requirements for Local Geometric Routing and Traversal in Digraphs. (2008)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ferran Hurtado et al.: Parallel edge flipping. (1998)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Evangelos Kranakis et al.: Compass routing on geometric networks. (1999)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruy Fabila Monroy et al.: Colored Ray Configurations. (2014)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Canek Peláez et al.: Convex blocking and partial orders on the plane. 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(1993)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alberto Negro et al.: Efficient Distributed Selection with Bounded Messages. (1997)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Crevel Bautista-Santiago et al.: On the connectedness and diameter of a Geometric Johnson Graph. (2013)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"José Miguel Díaz-Báñez et al.: Min-energy broadcast in mobile ad hoc networks with restricted motion. (2012)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Edgar Chávez et al.: Traversal of a quasi-planar subdivision without using mark bits. (2004)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oswin Aichholzer et al.: Compatible Geometric Matchings. (2008)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Atsuhiro Nakamoto et al.: Geometric quadrangulations of a polygon. (2018)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"José Luis Álvarez-Rebollar et al.: Crossing and intersecting families of geometric graphs on point sets. (2022)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Carlos Alegría-Galicia et al.: Rectilinear and O-convex hull with minimum area. (2017)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"José Miguel Díaz-Báñez et al.: Ortho-unit polygons can be guarded with at most ⌊(n-4)/8⌋ guards. (2022)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nicola Santoro et al.: Geometric Containment is not Reducible to Pareto Dominance. (1985)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Paul Boone et al.: Morelia Test: Improving the Efficiency of the Gabriel Test and Face Routing in Ad-Hoc Networks. (2004)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: Local Edge Colouring of Yao-Like Subgraphs of Unit Disk Graphs. (2007)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Evangelos Kranakis et al.: Implicit Routing and Shortest Path Information (Extended Abstract). (1995)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sergio Rajsbaum and Jorge Urrutia: Some Problems in Distributed Computational Geometry. (1999)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Edgar Chávez et al.: Traversal of a Quasi-Planar Subdivision without Using Mark Bits. 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(2013)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"David Flores-Peñaloza et al.: Rainbow polygons for colored point sets in the plane. (2021)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jurek Czyzowicz et al.: On illuminating line segments in the plane. (1995)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Vladimir Estivill-Castro et al.: On the chromatic number of tree graphs. (2000)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Stephan Foldes et al.: Light sources, obstructions and spherical orders. 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(2015)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Crevel Bautista-Santiago et al.: On the Connectedness and Diameter of a Geometric Johnson Graph (2012)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Carlos Alegría-Galicia et al.: Capturing Points with a Rotating Polygon (and a 3D Extension). (2019)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jin Akiyama et al.: Universal Measuring Boxes with Triangular Bases. (2008)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Javier Cano et al.: Blocking the k-Holes of Point Sets in the Plane. (2015)\"\n },\n {\n \"object\": \"Jorge Urrutia\",\n \"predicate\": \"authored by\",\n \"subject\": \"Benson L. Joeris et al.: Geometric Spanning Cycles in Bichromatic Point Sets. 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(1995) authored by Jorge Urrutia. James Abello et al.: Illumination of Orthogonal Polygons with Orthogonal Floodlights. (1998) authored by Jorge Urrutia. James Abello et al.: Illumination with Orthogonal Floodlights. (1995) authored by Jorge Urrutia. Felipe Contreras et al.: Illuminating triangles and quadrilaterals with vertex floodlights. (1998) authored by Jorge Urrutia. Vladimir Estivill-Castro et al.: Illumination of Polygons with Vertex Lights. (1995) authored by Jorge Urrutia. Vladimir Estivill-Castro and Jorge Urrutia: Optimal Floodlight Illumination of Orthogonal Art Galleries. (1994) authored by Jorge Urrutia. Felipe Contreras et al.: Optimal Floodlight Illumination of Stages. (1998) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Optimal Floodlight Illumination of Stages. (1993) authored by Jorge Urrutia. Prosenjit Bose et al.: The Floodlight Problem. (1997) authored by Jorge Urrutia. Prosenjit Bose et al.: The Floodlight Problem. (1993) authored by Jorge Urrutia. Jorge Urrutia: On the number of internal and external visibility edges of polygons. (1997) authored by Jorge Urrutia. Oswin Aichholzer et al.: Modem Illumination of Monotone Polygons. (2015) authored by Jorge Urrutia. Oswin Aichholzer et al.: Modem illumination of monotone polygons. (2018) authored by Jorge Urrutia. Stephan Foldes et al.: Light sources, obstructions and spherical orders. (1992) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Illuminating Rectangles and Triangles in the Plane. (1993) authored by Jorge Urrutia. David Flores-Peñaloza et al.: Rainbow polygons for colored point sets in the plane. (2020) authored by Jorge Urrutia. David Flores-Peñaloza et al.: Rainbow polygons for colored point sets in the plane. (2021) authored by Jorge Urrutia. Oswin Aichholzer et al.: Convexifying Monotone Polygons while Maintaining Internal Visibility. (2011) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-Convex Polygons (2010) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On illuminating line segments in the plane. (1995) authored by Jorge Urrutia. Evangelos Kranakis et al.: On the Number of Directions in Visibility Representations. (1994) authored by Jorge Urrutia. Sergey Bereg et al.: Continuous Surveillance of Points by rotating Floodlights. (2014) authored by Jorge Urrutia. Manuel Abellanas et al.: Onion Polygonizations. (1996) authored by Jorge Urrutia. Jorge Urrutia: Art Gallery and Illumination Problems. (2000) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On measuring areas of polygons. (1998) authored by Jorge Urrutia. Manuel Abellanas et al.: Updating Polygonizations. (1993) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Tight Bounds for Illuminating and Covering of Orthotrees with Vertex Lights and Vertex Beacons. (2020) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored ray configurations. (2018) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored ray configurations. (2018) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored Ray Configurations. (2014) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Polygon Area Problems. (2000) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-convex polygons. (2012) authored by Jorge Urrutia\\\\nWith Jörg-Rüdiger Sack in 1991, he was founding co-editor-in-chief of the academic journal Computational Geometry: Theory and Applications. His research primarily concerns discrete and computational geometry\",\n \"plain\": \"Jorge Urrutia is Author. Jorge Urrutia modified 2023-10-18. Jorge Urrutia citedByCount 5110. Jorge Urrutia written paper amount in year2012: 24. Jorge Urrutia written paper amount in year2012: 24. Jorge Urrutia written paper amount in year2013: 7. Jorge Urrutia written paper amount in year2013: 7. Jorge Urrutia written paper amount in year2014: 15. Jorge Urrutia written paper amount in year2014: 15. Jorge Urrutia written paper amount in year2015: 17. Jorge Urrutia written paper amount in year2015: 17. Jorge Urrutia written paper amount in year2016: 5. Jorge Urrutia written paper amount in year2016: 5. Jorge Urrutia written paper amount in year2017: 9. Jorge Urrutia written paper amount in year2017: 9. Jorge Urrutia written paper amount in year2018: 11. Jorge Urrutia written paper amount in year2018: 11. Jorge Urrutia written paper amount in year2019: 7. Jorge Urrutia written paper amount in year2019: 7. Jorge Urrutia written paper amount in year2020: 18. Jorge Urrutia written paper amount in year2020: 18. Jorge Urrutia written paper amount in year2021: 7. Jorge Urrutia written paper amount in year2021: 7. Jorge Urrutia written paper amount in year2022: 13. Jorge Urrutia written paper amount in year2022: 13. Jorge Urrutia written paper amount in year2023: 3. Jorge Urrutia written paper amount in year2023: 3. Jorge Urrutia worksCount 403. Jorge Urrutia name Jorge Urrutia. Jorge Urrutia member of Universidad Nacional Autónoma de México. Jorge Urrutia h-index 27. Jorge Urrutia 2YrMeanCitedness 0.20000000298023223877. Jorge Urrutia alternativeName J. Urrutia. Jorge Urrutia alternativeName Jorge Urrutia. Jorge Urrutia alternativeName Jorge Vicente González Urrutia. Jorge Urrutia alternativeName Urrutia Jorge. Jorge Urrutia i10Index 82. Jorge Urrutia orcidId https://orcid.org/0000-0002-4158-5979. Jorge Urrutia is Creator. Jorge Urrutia is Person. Jorge Urrutia link http://www.wikidata.org/entity/Q20006950. Jorge Urrutia affiliation University of Ottawa, Ontario, Canada. Jorge Urrutia link http://www.csi.uottawa.ca/~jorge/. Jorge Urrutia primary affiliation University of Ottawa, Ontario, Canada. Jorge Urrutia link http://www.csi.uottawa.ca/~jorge/. Jorge Urrutia link https://mathscinet.ams.org/mathscinet/MRAuthorID/176235. Jorge Urrutia link https://zbmath.org/authors/?q=ai:urrutia.jorge-l. Jorge Urrutia link https://mathgenealogy.org/id.php?id=72995. Jorge Urrutia link https://scholar.google.com/citations?user=rtT6gkcAAAAJ. Jorge Urrutia link https://en.wikipedia.org/wiki/Jorge_Urrutia_Galicia. Jurek Czyzowicz et al.: Galleries, Light Matchings and Visibility Graphs. (1989) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Immobilizing a Polytope. (1991) authored by Jorge Urrutia. Vladimir Estivill-Castro and Jorge Urrutia: Two-Floodlight Illumination of Convex Polygons. (1995) authored by Jorge Urrutia. Jurek Czyzowicz et al.: The Aquarium Keeper's Problem. (1991) authored by Jorge Urrutia. Bernardo M. Ábrego et al.: Matching Points with Circles and Squares. (2004) authored by Jorge Urrutia. Oswin Aichholzer et al.: Playing with Triangulations. (2002) authored by Jorge Urrutia. Jin Akiyama et al.: Universal Measuring Devices without Gradations. (2000) authored by Jorge Urrutia. Jin Akiyama et al.: Flat 2-Foldings of Convex Polygons. (2003) authored by Jorge Urrutia. Jin Akiyama et al.: Radial Perfect Partitions of Convex Sets in the Plane. (1998) authored by Jorge Urrutia. Jin Akiyama et al.: Sequentially Divisible Dissections of Simple Polygons. (2000) authored by Jorge Urrutia. Kiyoshi Hosono et al.: On a Triangle with the Maximum Area in a Planar Point Set. (2003) authored by Jorge Urrutia. Evangelos Kranakis et al.: Efficient Regular Polygon Dissections. (1998) authored by Jorge Urrutia. Jesús Leaños et al.: Spanning Trees of Multicoloured Point Sets with Few Intersections. (2003) authored by Jorge Urrutia. Chie Nara et al.: Maximal Number of Edges in Geometric Graphs without Convex Polygons. (2002) authored by Jorge Urrutia. Toshinori Sakai et al.: Equal Area Polygons in Convex Bodies. (2003) authored by Jorge Urrutia. Jorge Urrutia: The Mathematics of Ferran Hurtado: A Brief Survey. (2015) authored by Jorge Urrutia. Jorge Urrutia: On Geometric Graphs on Point Sets in the Plane. (2018) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Tight Bounds for the Rectangualr Art Gallery Problem. (1991) authored by Jorge Urrutia. Evangelos Kranakis et al.: VC-Dimensions for Graphs (Extended Abstract). (1995) authored by Jorge Urrutia. Toshinori Sakai and Jorge Urrutia: Monotonic Polygons and Paths in Weighted Point Sets. (2010) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Covering point sets with two convex objects. (2005) authored by Jorge Urrutia. Edgar Chávez et al.: Half-Space Proximal: A New Local Test for Extracting a Bounded Dilation Spanner of a Unit Disk Graph. (2005) authored by Jorge Urrutia. Edgar Chávez et al.: Route Discovery with Constant Memory in Oriented Planar Geometric Networks. (2004) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Searching for a Non-adversarial, Uncooperative Agent on a Cycle. (2017) authored by Jorge Urrutia. Edgar Chávez et al.: Local Construction of Planar Spanners in Unit Disk Graphs with Irregular Transmission Ranges. (2006) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Local Algorithms for Dominating and Connected Dominating Sets of Unit Disk Graphs with Location Aware Nodes. (2008) authored by Jorge Urrutia. Pablo Pérez-Lantero et al.: Rectilinear Convex Hull of Points in 3D. (2020) authored by Jorge Urrutia. Jorge Urrutia: Open Problems in Computational Geometry. (2002) authored by Jorge Urrutia. Manuel Abellanas et al.: Voronoi Diagrams and Containment of Families of Convex Sets on the Plane. (1995) authored by Jorge Urrutia. Binay K. Bhattacharya et al.: Computing Shortest Transversals of Sets (Extended Abstract). (1991) authored by Jorge Urrutia. Felipe Contreras et al.: Optimal Floodlight Illumination of Stages. (1998) authored by Jorge Urrutia. Ferran Hurtado et al.: Flipping Edges in Triangulations. (1996) authored by Jorge Urrutia. Stefan Dobrev et al.: Complexity of Barrier Coverage with Relocatable Sensors in the Plane. (2013) authored by Jorge Urrutia. Jorge Urrutia: Art Galleries, k-modems, and k-convexity. (2012) authored by Jorge Urrutia. Javier Cano et al.: Upper Bound Constructions for Untangling Planar Geometric Graphs. (2011) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Discrete Realizations of Contact and Intersection Graphs. (1997) authored by Jorge Urrutia. Evangelos Kranakis et al.: On the Number of Directions in Visibility Representations. (1994) authored by Jorge Urrutia. V. M. Heredia and Jorge Urrutia: On Convex Quadrangulations of Point Sets on the Plane. (2005) authored by Jorge Urrutia. Hernán González-Aguilar et al.: Maximum Rectilinear Convex Subsets. (2019) authored by Jorge Urrutia. Alberto Negro et al.: On the Packet Complexity of Distributed Selection. (1987) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment. (2009) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On Minimizing the Sum of Sensor Movements for Barrier Coverage of a Line Segment. (2010) authored by Jorge Urrutia. Evangelos Kranakis et al.: Uninterrupted Coverage of a Planar Region with Rotating Directional Antennae. (2012) authored by Jorge Urrutia. Jorge Urrutia: Routing in Wireless Networks and Local Solutions for Global Problems. (2005) authored by Jorge Urrutia. Prosenjit Bose et al.: Routing with guaranteed delivery in ad hoc wireless networks. (1999) authored by Jorge Urrutia. Jin Akiyama and Jorge Urrutia: Simple alternating path problem. (1990) authored by Jorge Urrutia. Victor Neumann-Lara and Jorge Urrutia: Vertex critical r-dichromatic tournaments. (1984) authored by Jorge Urrutia. Jesús Leaños et al.: Simple Euclidean Arrangements with No (>= 5)-Gons. (2007) authored by Jorge Urrutia. Juan C. Catana-Salazar et al.: Plane augmentation of plane graphs to meet parity constraints. (2020) authored by Jorge Urrutia. Hernán González-Aguilar et al.: Maximum rectilinear convex subsets. (2019) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: Rectilinear convex hull with minimum area. (2015) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Local 7-Coloring for Planar Subgraphs of Unit Disk Graphs. (2008) authored by Jorge Urrutia. Alberto Márquez et al.: Computational Geometry - XIV Spanish Meeting on Computational Geometry, EGC 2011, Dedicated to Ferran Hurtado on the Occasion of His 60th Birthday, Alcalá de Henares, Spain, June 27-30, 2011, Revised Selected Papers (2012) edited by Jorge Urrutia. Oswin Aichholzer et al.: Convexifying Monotone Polygons while Maintaining Internal Visibility. (2011) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: Rectilinear Convex Hull with Minimum Area. (2011) authored by Jorge Urrutia. Toshinori Sakai and Jorge Urrutia: On the Heaviest Increasing or Decreasing Subsequence of a Permutation, and Paths and Matchings on Weighted Point Sets. (2011) authored by Jorge Urrutia. James Abello et al.: Illumination with Orthogonal Floodlights. (1995) authored by Jorge Urrutia. Evangelos Kranakis et al.: Coverage and Connectivity in Networks with Directional Sensors. (2004) authored by Jorge Urrutia. Sergey Bereg et al.: Failure and Communication in a Synchronized Multi-drone System. (2021) authored by Jorge Urrutia. Frank Bauernöppel et al.: Optimal Shooting: Characterizations and Applications. (1995) authored by Jorge Urrutia. Jan van Leeuwen et al.: Guessing Games and Distributed Computations in Synchronous Networks. (1987) authored by Jorge Urrutia. Crevel Bautista-Santiago et al.: Computing optimal islands. (2011) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Computing shortest heterochromatic monotone routes. (2008) authored by Jorge Urrutia. Oswin Aichholzer et al.: Empty Monochromatic Triangles. (2008) authored by Jorge Urrutia. Oswin Aichholzer et al.: Order types and cross-sections of line arrangements in R^3. (2014) authored by Jorge Urrutia. Jin Akiyama et al.: Perfect divisions of a cake. (1998) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Finding Minimum Witness Sets in Orthogonal Polygons. (2018) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Minimizing the Solid Angle Sum of Orthogonal Polyhedra and Guarding them with π/2-Edge Guards. (2016) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Planarity Preserving Augmentation of Topological and Geometric Plane Graphs to Meet Parity Constraints. (2017) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Beacon Coverage in Orthogonal Polyhedra. (2017) authored by Jorge Urrutia. Patrice Belleville et al.: K-Guarding Polygons on the Plane. (1994) authored by Jorge Urrutia. Jean-Daniel Boissonnat et al.: Computing Largest Circles Separating Two Sets of Segments. (1996) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Circular Ray Shooting: Slower but Surer. (2000) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Polygon Area Problems. (2000) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: A simpler circular ray shooting algorithm. (2001) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Finding the largest axis aligned rectangle in a polygon in o(n log n) time. (2001) authored by Jorge Urrutia. Prosenjit Bose et al.: The Floodlight Problem. (1993) authored by Jorge Urrutia. Javier Cano et al.: Edge Guards for Polyhedra in 3-Space. (2012) authored by Jorge Urrutia. Netzahualcoyotl Castañeda and Jorge Urrutia: Straight Line Embeddings of Planar Graphs on Point Sets. (1996) authored by Jorge Urrutia. Danny Z. Chen et al.: Optimal guarding of polygons and monotone chains. (1995) authored by Jorge Urrutia. Christian Chenier and Jorge Urrutia: Shortest paths in convex and simple weighted polygons. (1995) authored by Jorge Urrutia. Jared Ray Coleman et al.: Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots. (2020) authored by Jorge Urrutia. Felipe Contreras et al.: Illuminating triangles and quadrilaterals with vertex floodlights. (1998) authored by Jorge Urrutia. György Csizmadia et al.: Domino tilings of orthogonal polygons. (1999) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On measuring areas of polygons. (1998) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Maximal Length Common Non-intersecting Paths. (1996) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Guarding the Convex Subsets of a Point-set. (2000) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Domino tilings and two-by-two squares. (1997) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Dissections, cuts and triangulations. (1999) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Optimal Floodlight Illumination of Stages. (1993) authored by Jorge Urrutia. Vladimir Estivill-Castro and Jorge Urrutia: Optimal Floodlight Illumination of Orthogonal Art Galleries. (1994) authored by Jorge Urrutia. Maia Fraser et al.: Memory Requirements for Local Geometric Routing and Traversal in Digraphs. (2008) authored by Jorge Urrutia. Ferran Hurtado et al.: Parallel edge flipping. (1998) authored by Jorge Urrutia. Evangelos Kranakis et al.: Compass routing on geometric networks. (1999) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored Ray Configurations. (2014) authored by Jorge Urrutia. Canek Peláez et al.: Convex blocking and partial orders on the plane. (2011) authored by Jorge Urrutia. Jorge Urrutia: On the number of internal and external visibility edges of polygons. (1997) authored by Jorge Urrutia. Jorge Urrutia et al.: Triangulations with many points of even degree. (2010) authored by Jorge Urrutia. Giovanni Viglietta et al.: Edge-guarding Orthogonal Polyhedra. (2011) authored by Jorge Urrutia. Birgit Vogtenhuber et al.: On k-Gons and k-Holes in Point Sets. (2011) authored by Jorge Urrutia. Javier Cano et al.: Upper Bound Constructions for Untangling Planar Geometric Graphs. (2014) authored by Jorge Urrutia. Nicola Santoro et al.: Geometric Containment and Partial Orders. (1989) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Separability, Boxicity, and Partial Orders. (2023) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Searching for a non-adversarial, uncooperative agent on a cycle. (2020) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Local edge colouring of Yao-like subgraphs of Unit Disk Graphs. (2009) authored by Jorge Urrutia. Stefan Dobrev et al.: Complexity of barrier coverage with relocatable sensors in the plane. (2015) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Minimizing the solid angle sum of orthogonal polyhedra. (2019) authored by Jorge Urrutia. Vladimir Estivill-Castro et al.: Illumination of Polygons with Vertex Lights. (1995) authored by Jorge Urrutia. Boris Aronov et al.: Minimizing the error of linear separators on linearly inseparable data. (2012) authored by Jorge Urrutia. Evangelos Kranakis et al.: Stage-graph Representations. (1997) authored by Jorge Urrutia. Criel Merino et al.: On the length of longest alternating paths for multicoloured point sets in convex position. (2006) authored by Jorge Urrutia. Victor Neumann-Lara et al.: A note on covering the edges of a graph with bonds. (1999) authored by Jorge Urrutia. Victor Neumann-Lara et al.: Uniquely colourable m-dichromatic oriented graphs. (1986) authored by Jorge Urrutia. Ivan Rival and Jorge Urrutia: Representing orders by moving figures in space. (1992) authored by Jorge Urrutia. Francisco Escalona et al.: Hamiltonian Tetrahedralizations with Steiner Points (2012) authored by Jorge Urrutia. Csaba D. Tóth et al.: Minimizing Visible Edges in Polyhedra. (2022) authored by Jorge Urrutia. James Abello et al.: Illumination of Orthogonal Polygons with Orthogonal Floodlights. (1998) authored by Jorge Urrutia. Sergey Bereg et al.: Continuous Surveillance of Points by rotating Floodlights. (2014) authored by Jorge Urrutia. Binay K. Bhattacharya et al.: Computing shortest transversals of sets. (1992) authored by Jorge Urrutia. Jean-Daniel Boissonnat et al.: Computing Largest Circles Separating Two Sets of Segments. (2000) authored by Jorge Urrutia. Prosenjit Bose et al.: The Floodlight Problem. (1997) authored by Jorge Urrutia. Javier Cano et al.: Stabbing Simplices of Point Sets with k-flats. (2014) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Immobilizing a Shape. (1999) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Editors' Foreword. (2014) authored by Jorge Urrutia. Jérôme Galtier et al.: Simultaneous Edge Flipping in Triangulations. (2003) authored by Jorge Urrutia. Evangelos Kranakis and Jorge Urrutia: Isomorphic Triangulations with Small Number of Steiner Points. (1999) authored by Jorge Urrutia. Juan C. Catana-Salazar et al.: Plane augmentation of plane graphs to meet parity constraints. (2020) authored by Jorge Urrutia. Evangelos Kranakis and Jorge Urrutia: Pantographs and Phase Transitions for the Boundedness of Orbits. (2020) authored by Jorge Urrutia. Constantinos Georgiou et al.: Distributed Dynamic Storage in Wireless Networks. (2005) authored by Jorge Urrutia. Jin Akiyama et al.: On circles containing the maximum number of points. (1996) authored by Jorge Urrutia. Jin Akiyama and Jorge Urrutia: A note on balanced colourings for lattice points. (1990) authored by Jorge Urrutia. Martin Charles Golumbic et al.: Comparability graphs and intersection graphs. (1983) authored by Jorge Urrutia. Ferran Hurtado et al.: Hiding points in arrangements of segments. (1996) authored by Jorge Urrutia. Victor Neumann-Lara and Jorge Urrutia: A combinatorial result on points and circles on the plane. (1988) authored by Jorge Urrutia. Victor Neumann-Lara et al.: A note on minimally 3-connected graphs. (2004) authored by Jorge Urrutia. Nicola Santoro and Jorge Urrutia: An improved algorithm for Boolean matrix multiplication. (1986) authored by Jorge Urrutia. Manuel Abellanas et al.: A Combinatorial Property of Convex Sets. (1997) authored by Jorge Urrutia. Bernardo M. Ábrego et al.: Matching Points with Squares. (2009) authored by Jorge Urrutia. Oswin Aichholzer et al.: Empty Monochromatic Simplices. (2014) authored by Jorge Urrutia. Imre Bárány et al.: A Combinatorial Result About Points and Balls in Euclidean Space. (1989) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Separating Convex Sets in the Plane. (1992) authored by Jorge Urrutia. Ferran Hurtado et al.: Flipping Edges in Triangulations. (1999) authored by Jorge Urrutia. Jesús A. De Loera et al.: The Number of Geometric Bistellar Neighbors of a Triangulation. (1999) authored by Jorge Urrutia. Luis Montejano and Jorge Urrutia: Paths of Trains with Two-Wheeled Cars. (2007) authored by Jorge Urrutia. Alfredo García Olaverri et al.: Configurations of Non-crossing Rays and Related Problems. (2016) authored by Jorge Urrutia. David Flores-Peñaloza et al.: Rainbow polygons for colored point sets in the plane. (2020) authored by Jorge Urrutia. Oswin Aichholzer et al.: Modem Illumination of Monotone Polygons. (2015) authored by Jorge Urrutia. Sergey Bereg et al.: On balanced 4-holes in bichromatic point sets. (2017) authored by Jorge Urrutia. Jörg-Rüdiger Sack and Jorge Urrutia: Handbook of Computational Geometry (2000) edited by Jorge Urrutia. Jorge Urrutia: Art Gallery and Illumination Problems. (2000) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Partitioning Polygons into Tree Monotone and -monotone Subpolygons. (2003) authored by Jorge Urrutia. Nicola Santoro et al.: Geometric Containment, Common Roots of Polynomials and Partial Orders. (1988) authored by Jorge Urrutia. Mike D. Atkinson et al.: On the integer complexity of Boolean matrix multiplication. (1986) authored by Jorge Urrutia. Carlos Alegría et al.: Separating bichromatic point sets in the plane by restricted orientation convex hulls. (2023) authored by Jorge Urrutia. Oswin Aichholzer et al.: Geometric Achromatic and Pseudoachromatic Indices. (2016) authored by Jorge Urrutia. Jin Akiyama et al.: A Problem on Hinged Dissections with Colours. (2004) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Tight Bounds for Illuminating and Covering of Orthotrees with Vertex Lights and Vertex Beacons. (2020) authored by Jorge Urrutia. Jose Luis Álvarez-Rebollar et al.: Crossing and intersecting families of geometric graphs on point sets. (2024) authored by Jorge Urrutia. Victor Alvarez et al.: Bichromatic Quadrangulations with Steiner Points. (2007) authored by Jorge Urrutia. A. Arévalo et al.: On Rainbow Quadrilaterals in Colored Point Sets. (2022) authored by Jorge Urrutia. Crevel Bautista-Santiago et al.: On the Number of Edges in Geometric Graphs Without Empty Triangles. (2013) authored by Jorge Urrutia. Javier Cano et al.: The Edge Rotation Graph. (2013) authored by Jorge Urrutia. Jorge Cravioto-Lagos et al.: On Almost Empty Monochromatic Triangles and Convex Quadrilaterals in Colored Point Sets. (2019) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Monitoring the Plane with Rotating Radars. (2015) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Protecting convex sets. (1994) authored by Jorge Urrutia. Zhicheng Gao et al.: Diagonal Flips in Labelled Planar Triangulations. (2001) authored by Jorge Urrutia. Ferran Hurtado et al.: On Polygons Enclosing Point Sets II. (2009) authored by Jorge Urrutia. Mikio Kano et al.: Jin Akiyama: A Friend and His Mathematics. (2007) authored by Jorge Urrutia. Mikio Kano and Jorge Urrutia: Discrete Geometry on Colored Point Sets in the Plane - A Survey. (2021) authored by Jorge Urrutia. Criel Merino et al.: On the Intersection Number of Matchings and Minimum Weight Perfect Matchings of Multicolored Point Sets. (2005) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Token Graphs. (2012) authored by Jorge Urrutia. Victor Neumann-Lara et al.: A Note on Convex Decompositions of a Set of Points in the Plane. (2004) authored by Jorge Urrutia. Toshinori Sakai and Jorge Urrutia: Covering the Convex Quadrilaterals of Point Sets. (2007) authored by Jorge Urrutia. Csaba D. Tóth et al.: Minimizing Visible Edges in Polyhedra. (2023) authored by Jorge Urrutia. Jorge Urrutia: In memoriam In memory of Professor Victor Neumann-Lara. (2005) authored by Jorge Urrutia. Carlos Alegría et al.: Efficient computation of minimum-area rectilinear convex hull under rotation and generalizations. (2021) authored by Jorge Urrutia. Fawzi Al-Thukair et al.: Motion Planning, Two-Directional Point Representations, and Ordered Sets. (1991) authored by Jorge Urrutia. Sergey Bereg et al.: Optimal placement of base stations in border surveillance using limited capacity drones. (2022) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Local 7-coloring for planar subgraphs of unit disk graphs. (2011) authored by Jorge Urrutia. Sergio Rajsbaum and Jorge Urrutia: Some problems in distributed computational geometry. (2011) authored by Jorge Urrutia. Manuel Abellanas et al.: Onion Polygonizations. (1996) authored by Jorge Urrutia. Oswin Aichholzer et al.: Computing balanced islands in two colored point sets in the plane. (2018) authored by Jorge Urrutia. Gabriela Araujo et al.: A note on harmonic subgraphs in labelled geometric graphs. (2008) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Corrigendum: Separating Collections of Points in Euclidean Spaces. (1995) authored by Jorge Urrutia. Jurek Czyzowicz et al.: A Simple Proof of the Representation of Bipartite Planar Graphs as the Contact Graphs of Orthogonal Straight Line Segments. (1998) authored by Jorge Urrutia. Vitor Tocci F. de Luca et al.: Grid straight-line embeddings of trees with a minimum number of bends per path. (2022) authored by Jorge Urrutia. Ruy Fabila Monroy and Jorge Urrutia: Graham triangulations and triangulations with a center are hamiltonean. (2005) authored by Jorge Urrutia. Jorge Urrutia and Fanica Gavril: An Algorithm for Fraternal Orientation of Graphs. (1992) authored by Jorge Urrutia. Edgar Chávez et al.: Route discovery with constant memory in oriented planar geometric networks. (2006) authored by Jorge Urrutia. Doron Rotem and Jorge Urrutia: Circular permutation graphs. (1982) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: On the Chromatic Number of some Flip Graphs. (2009) authored by Jorge Urrutia. Manuel Abellanas et al.: Updating Polygonizations. (1993) authored by Jorge Urrutia. Oswin Aichholzer et al.: On $k$-Gons and $k$-Holes in Point Sets. (2014) authored by Jorge Urrutia. Sergey Bereg et al.: Balanced partitions of 3-colored geometric sets in the plane. (2017) authored by Jorge Urrutia. Sergey Bereg et al.: Optimal Placement of Base Stations in Border Surveillance using Limited Capacity Drones. (2022) authored by Jorge Urrutia. Oswin Aichholzer et al.: Balanced Islands in Two Colored Point Sets in the Plane. (2015) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored ray configurations. (2018) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: Capturing points with a rotating polygon (and a 3D extension). (2018) authored by Jorge Urrutia. Hernán González-Aguilar et al.: Maximum Rectilinear Convex Subsets. (2021) authored by Jorge Urrutia. Carmen Cortés et al.: Bichromatic separability with two boxes: A general approach. (2009) authored by Jorge Urrutia. Oswin Aichholzer et al.: Games on triangulations. (2005) authored by Jorge Urrutia. Jose Luis Álvarez-Rebollar et al.: Representing point sets on the plane as permutations. (2022) authored by Jorge Urrutia. Ralph P. Boland and Jorge Urrutia: Separating Collections of Points in Euclidean Spaces. (1995) authored by Jorge Urrutia. Mikio Kano et al.: On plane spanning trees and cycles of multicolored point sets with few intersections. (2005) authored by Jorge Urrutia. Doron Rotem and Jorge Urrutia: Finding maximum cliques in circle graphs. (1981) authored by Jorge Urrutia. Michael D. Atkinson et al.: Integer Sets with Distinct Sums and Differences and Carrier Frequency Assignments for Nonlinear Repeaters. (1986) authored by Jorge Urrutia. Sergey Bereg et al.: Optimizing some constructions with bars: new geometric knapsack problems. (2016) authored by Jorge Urrutia. Crevel Bautista-Santiago et al.: Covering moving points with anchored disks. (2012) authored by Jorge Urrutia. Fanica Gavril and Jorge Urrutia: Intersection Graphs of Concatenable Subtrees of Graphs. (1994) authored by Jorge Urrutia. Richard J. Nowakowski et al.: Representing orders on the plane by translating points and lines. (1990) authored by Jorge Urrutia. Manuel Abellanas et al.: Augmenting the connectivity of geometric graphs. (2008) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-convex polygons. (2012) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-convex point sets. (2014) authored by Jorge Urrutia. Oswin Aichholzer et al.: Compatible geometric matchings. (2009) authored by Jorge Urrutia. Oswin Aichholzer et al.: Empty monochromatic triangles. (2009) authored by Jorge Urrutia. Oswin Aichholzer et al.: Modem illumination of monotone polygons. (2018) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-gons and k-holes in point sets. (2015) authored by Jorge Urrutia. Oswin Aichholzer et al.: 4-Holes in point sets. (2014) authored by Jorge Urrutia. Oswin Aichholzer et al.: Cross-sections of line configurations in R3 and (d - 2)-flat configurations in Rd. (2019) authored by Jorge Urrutia. Israel Aldana-Galván et al.: Finding minimum witness sets in orthogonal polygons. (2020) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: On the 𝒪β of a planar point set. (2018) authored by Jorge Urrutia. Gabriela Araujo et al.: On the chromatic number of some geometric type Kneser graphs. (2005) authored by Jorge Urrutia. Sergey Bereg et al.: On the coarseness of bicolored point sets. (2013) authored by Jorge Urrutia. Sergey Bereg et al.: On balanced 4-holes in bichromatic point sets. (2015) authored by Jorge Urrutia. Sergio Cabello et al.: Covering point sets with two disjoint disks or squares. (2008) authored by Jorge Urrutia. Javier Cano et al.: A tight bound for point guards in piecewise convex art galleries. (2013) authored by Jorge Urrutia. Javier Cano et al.: Edge guards for polyhedra in three-space. (2022) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Convex blocking and partial orders on the plane. (2016) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: A note on empty balanced tetrahedra in two-colored point sets in R3. (2021) authored by Jorge Urrutia. Kurt Mehlhorn et al.: Editorial. (1999) authored by Jorge Urrutia. Ruy Fabila Monroy et al.: Colored ray configurations. (2018) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Illuminating Rectangles and Triangles in the Plane. (1993) authored by Jorge Urrutia. Alberto Negro et al.: Efficient Distributed Selection with Bounded Messages. (1997) authored by Jorge Urrutia. Crevel Bautista-Santiago et al.: On the connectedness and diameter of a Geometric Johnson Graph. (2013) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Min-energy broadcast in mobile ad hoc networks with restricted motion. (2012) authored by Jorge Urrutia. Edgar Chávez et al.: Traversal of a quasi-planar subdivision without using mark bits. (2004) authored by Jorge Urrutia. Oswin Aichholzer et al.: Compatible Geometric Matchings. (2008) authored by Jorge Urrutia. Atsuhiro Nakamoto et al.: Geometric quadrangulations of a polygon. (2018) authored by Jorge Urrutia. José Luis Álvarez-Rebollar et al.: Crossing and intersecting families of geometric graphs on point sets. (2022) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: Rectilinear and O-convex hull with minimum area. (2017) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: Ortho-unit polygons can be guarded with at most ⌊(n-4)/8⌋ guards. (2022) authored by Jorge Urrutia. Nicola Santoro et al.: Geometric Containment is not Reducible to Pareto Dominance. (1985) authored by Jorge Urrutia. Paul Boone et al.: Morelia Test: Improving the Efficiency of the Gabriel Test and Face Routing in Ad-Hoc Networks. (2004) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Local Edge Colouring of Yao-Like Subgraphs of Unit Disk Graphs. (2007) authored by Jorge Urrutia. Evangelos Kranakis et al.: Implicit Routing and Shortest Path Information (Extended Abstract). (1995) authored by Jorge Urrutia. Sergio Rajsbaum and Jorge Urrutia: Some Problems in Distributed Computational Geometry. (1999) authored by Jorge Urrutia. Edgar Chávez et al.: Traversal of a Quasi-Planar Subdivision without Using Mark Bits. (2004) authored by Jorge Urrutia. Prosenjit Bose et al.: Routing with Guaranteed Delivery in Ad Hoc Wireless Networks. (2001) authored by Jorge Urrutia. Frank Bauernöppel et al.: Planar Stage Graphs: Characterizations and Applications. (1997) authored by Jorge Urrutia. Nicola Santoro et al.: Geometric Containment and Vector Dominance. (1987) authored by Jorge Urrutia. Israel Aldana-Galván et al.: On optimal coverage of a tree with multiple robots. (2020) authored by Jorge Urrutia. Oswin Aichholzer et al.: Balanced 6-holes in linearly separable bichromatic point sets. (2013) authored by Jorge Urrutia. David Flores-Peñaloza et al.: Rainbow polygons for colored point sets in the plane. (2021) authored by Jorge Urrutia. Jurek Czyzowicz et al.: On illuminating line segments in the plane. (1995) authored by Jorge Urrutia. Vladimir Estivill-Castro et al.: On the chromatic number of tree graphs. (2000) authored by Jorge Urrutia. Stephan Foldes et al.: Light sources, obstructions and spherical orders. (1992) authored by Jorge Urrutia. Oswin Aichholzer et al.: On k-Convex Polygons (2010) authored by Jorge Urrutia. Oswin Aichholzer et al.: Empty Monochromatic Simplices (2012) authored by Jorge Urrutia. Carlos Alegría et al.: Separating bichromatic point sets in the plane by restricted orientation convex hulls. (2022) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: On the $O_β$-hull of a planar point set. (2015) authored by Jorge Urrutia. Crevel Bautista-Santiago et al.: On the Connectedness and Diameter of a Geometric Johnson Graph (2012) authored by Jorge Urrutia. Carlos Alegría-Galicia et al.: Capturing Points with a Rotating Polygon (and a 3D Extension). (2019) authored by Jorge Urrutia. Jin Akiyama et al.: Universal Measuring Boxes with Triangular Bases. (2008) authored by Jorge Urrutia. Javier Cano et al.: Blocking the k-Holes of Point Sets in the Plane. (2015) authored by Jorge Urrutia. Benson L. Joeris et al.: Geometric Spanning Cycles in Bichromatic Point Sets. (2015) authored by Jorge Urrutia. Jorge Urrutia: Local solutions for global problems in wireless networks. (2007) authored by Jorge Urrutia. Mikhail J. Atallah et al.: Finding a minimum independent dominating set in a permutation graph. (1988) authored by Jorge Urrutia. Sergey Bereg et al.: Balanced partitions of 3-colored geometric sets in the plane. (2015) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Guarding rectangular art galleries. (1994) authored by Jorge Urrutia. Jurek Czyzowicz et al.: Separation of Convex Sets. (1994) authored by Jorge Urrutia. Evangelos Kranakis et al.: Ray shooting from convex ranges. (2001) authored by Jorge Urrutia. Evangelos Kranakis et al.: The VC-dimension of Set Systems Defined by Graphs. (1997) authored by Jorge Urrutia. Ronald C. Read et al.: Orientations of circle graphs. (1982) authored by Jorge Urrutia. Benson L. Joeris et al.: Geometric Spanning Cycles in Bichromatic Point Sets. (2015) authored by Jorge Urrutia. Israel Aldana-Galván et al.: On Optimal Coverage of a Tree with Multiple Robots. (2022) authored by Jorge Urrutia. José Miguel Díaz-Báñez et al.: A Note on Empty Balanced Tetrahedra in Two colored Point sets in R3. (2020) authored by Jorge Urrutia. Jared Ray Coleman et al.: Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots. (2020) authored by Jorge Urrutia. Jean-Daniel Boissonnat et al.: Computing largest circles separating two sets of segments (1999) authored by Jorge Urrutia. Pablo Pérez-Lantero et al.: Rectilinear Convex Hull of Points in 3D. (2022) authored by Jorge Urrutia{'author_wikipedia_text': 'Jorge Urrutia Galicia is a Mexican mathematician and computer scientist in the Institute of Mathematics of the National Autonomous University of Mexico (UNAM). His research primarily concerns discrete and computational geometry.\\\\nUrrutia earned his Ph.D. from the University of Waterloo in 1980, under the supervision of Ronald C. Read.\\\\nHe worked for many years at the University of Ottawa before moving to UNAM in 1999.\\\\nWith Jörg-Rüdiger Sack in 1991, he was founding co-editor-in-chief of the academic journal Computational Geometry: Theory and Applications.\\\\nUrrutia is a member of the Mexican Academy of Sciences. The Mexican Conference on Discrete Mathematics and Computational Geometry, held in 2013 in Oaxaca, was dedicated to Urrutia in honor of his 60th birthday.'}\",\n \"verbalizer_on_all_triples\": \"Jorge Urrutia's written paper amount in year 2012 is 24.\\nJorge Urrutia has a written paper amount of 7 in 2013.\\nJorge Urrutia has a written paper amount of 15 in year 2014.\\nJorge Urrutia has written paper amount in year 2015: 17.\\nJorge Urrutia wrote 5 papers in 2016.\\nJorge Urrutia has a written paper amount of 9 in year 2017.\\nJorge Urrutia has a written paper amount of 11 in year 2018.\\nJorge Urrutia has a written paper amount of 7 in year 2019.\\nJorge Urrutia has a written paper amount of 18 in year 2020.\\nJorge Urrutia has a written paper amount of 7 in year2021.\\nJorge Urrutia has a written paper amount of 13 in year 2022.\\nJorge Urrutia has a written paper amount of 3 in year2023.\\nJorge Urrutia has a 2YrMeanCitedness of 0.20000000298023223877.\\nJorge Urrutia is affiliated with the University of Ottawa, Ontario, Canada.\\nJ. Urrutia and Jorge Vicente González Urrutia are alternative names for Jorge Urrutia and J. Urrutia.\\n\\\"Jose Luis <unk>lvarez-Rebollar et al.: Representing point sets on the plane as permutations. (2022), V. M. Heredia and Jorge Urrutia: On Convex Quadrangulations of Point Sets on the Plane. (2005), Christian Chenier and Jorge Urrutia: Shortest paths in convex and simple weighted polygons. (1995), Crevel Bautista-Santiago e\\nJorge Urrutia has citedByCount of 5110.\\nJörg-Rüdiger Sack and Jorge Urrutia: Handbook of Computational Geometry (2000), edited by Alberto Márquez et al.: Computational Geometry - XIV Spanish Meeting on Computational Geometry, EGC 2011, dedicated to Ferran Hurtado on the Occasion of His 60th Birthday, Alcalá de Henares, Spain, June 27-30, 2011, Revised Selected Papers (2012).\\nJorge Urrutia has a h-index of 27.\\nJorge Urrutia has a i10Index of 82.\\nJorge Urrutia is the creator and the author of the book.\\nJorge Urrutia's link is \\\"http://www.csi.uottawa.ca/<unk>jorge/, https://mathgenealogy.org/id.php?id=72995, https://en.wikipedia.org/wiki/Jorge_Urrutia_Galicia, http://www.wikidata.org/entity/Q20006950, https://scholar.google.com/citations?user=rt\\nJorge Urrutia is a member of the Universidad Nacional Autónoma de México.\\nJorge Urrutia was modified on 2023-10-18.\\nJorge Urrutia's name is Jorge Urrutia.\\nJorge Urrutia has orcidId https://orcid.org/0000-0002-4158-5979.\\nJorge Urrutia's primary affiliation is the University of Ottawa, Ontario, Canada.\\nJorge Urrutia has 403 works.{'author_wikipedia_text': 'Jorge Urrutia Galicia is a Mexican mathematician and computer scientist in the Institute of Mathematics of the National Autonomous University of Mexico (UNAM). His research primarily concerns discrete and computational geometry.\\\\nUrrutia earned his Ph.D. from the University of Waterloo in 1980, under the supervision of Ronald C. Read.\\\\nHe worked for many years at the University of Ottawa before moving to UNAM in 1999.\\\\nWith Jörg-Rüdiger Sack in 1991, he was founding co-editor-in-chief of the academic journal Computational Geometry: Theory and Applications.\\\\nUrrutia is a member of the Mexican Academy of Sciences. The Mexican Conference on Discrete Mathematics and Computational Geometry, held in 2013 in Oaxaca, was dedicated to Urrutia in honor of his 60th birthday.'}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"Oswin Aichholzer et al.: Modem Illumination of Monotone Polygons. (2015), Sergey Bereg et al.: Continuous Surveillance of Points by rotating Floodlights. (2014), Felipe Contreras et al.: Illuminating triangles and quadrilaterals with vertex floodlights. (1998), Vladimir Estivill-Castro and Jorge Urrutia: On the number of internal and external visibility edges of\\\\nWith Jörg-Rüdiger Sack in 1991, he was founding co-editor-in-chief of the academic journal Computational Geometry: Theory and Applications. His research primarily concerns discrete and computational geometry\"\n}"}}},{"rowIdx":86,"cells":{"id":{"kind":"string","value":"c0a8e0b8-51a9-4776-9f8a-0d013f34e0a9"},"triples_number":{"kind":"number","value":402,"string":"402"},"question":{"kind":"string","value":"What is the number of publications for the affiliation of the creator of the '2.5D Visual Sound' article?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"16\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"34\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"34\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"45\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"45\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"37\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"37\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"32\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"32\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"42\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"42\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"39\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"3.5185184478759765625\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"University of Texas at Austin, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"K. Grauman\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"Kristen L Grauman\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"Kristen Lorraine Grauman\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Kristen Grauman\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman and Bastian Leibe: Visual Object Recognition (2011)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andy Luong et al.: Reconstructing a fragmented face from a cryptographic identification protocol. (2013)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Utkarsh Mall et al.: Discovering Underground Maps from Fashion. (2022)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bo Xiong and Kristen Grauman: Text detection in stores using a repetition prior. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Devi Parikh et al.: Relative Attributes for Enhanced Human-Machine Communication. (2012)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sung Ju Hwang et al.: Analogy-preserving Semantic Embedding for Visual Object Categorization. (2013)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Santhosh Kumar Ramakrishnan et al.: SpotEM: Efficient Video Search for Episodic Memory. (2023)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruohan Gao et al.: Learning to Separate Object Sounds by Watching Unlabeled Video. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suyog Dutt Jain and Kristen Grauman: Supervoxel-Consistent Foreground Propagation in Video. (2014)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Santhosh K. Ramakrishnan et al.: Occupancy Anticipation for Efficient Exploration and Navigation. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bo Xiong and Kristen Grauman: Detecting Snap Points in Egocentric Video with a Web Photo Prior. (2014)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bo Xiong and Kristen Grauman: Snap Angle Prediction for 360 ∘ Panoramas. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ke Zhang et al.: Video Summarization with Long Short-Term Memory. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Priyanka Mandikal and Kristen Grauman: DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. (2021)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman: Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Changan Chen et al.: Learning Audio-Visual Dereverberation. (2023)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chao-Yeh Chen and Kristen Grauman: Clues from the beaten path: Location estimation with bursty sequences of tourist photos. (2011)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Steven Chen and Kristen Grauman: Compare and Contrast: Learning Prominent Visual Differences. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sagnik Majumder et al.: Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. (2023)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sudheendra Vijayanarasimhan and Kristen Grauman: What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. (2009)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sudheendra Vijayanarasimhan and Kristen Grauman: Efficient region search for object detection. (2011)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chao-Yeh Chen and Kristen Grauman: Efficient activity detection with max-subgraph search. (2012)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2019)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman et al.: Communication via Eye Blinks - Detection and Duration Analysis in Real Time. (2001)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman and Trevor Darrell: Unsupervised Learning of Categories from Sets of Partially Matching Image Features. (2006)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suyog Dutt Jain and Kristen Grauman: Active Image Segmentation Propagation. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaechul Kim and Kristen Grauman: Asymmetric region-to-image matching for comparing images with generic object categories. (2010)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Santhosh Kumar Ramakrishnan et al.: NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. (2023)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Krishna Kumar Singh et al.: Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su and Kristen Grauman: Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. (2017)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sudheendra Vijayanarasimhan and Kristen Grauman: Top-down pairwise potentials for piecing together multi-class segmentation puzzles. (2010)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Aron Yu and Kristen Grauman: Fine-Grained Visual Comparisons with Local Learning. (2014)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman: The Pyramid Match: Efficient Learning with Partial Correspondences. (2007)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Boqing Gong et al.: Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. (2013)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Danna Gurari and Kristen Grauman: CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. (2017)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sagnik Majumder and Kristen Grauman: Active Audio-Visual Separation of Dynamic Sound Sources. (2022)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sudheendra Vijayanarasimhan and Kristen Grauman: Active Frame Selection for Label Propagation in Videos. (2012)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zhuoliang Kang et al.: Learning with Whom to Share in Multi-task Feature Learning. (2011)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Priyanka Mandikal and Kristen Grauman: Learning Dexterous Grasping with Object-Centric Visual Affordances. (2021)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman et al.: Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. (2004)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Santhosh K. Ramakrishnan and Kristen Grauman: Sidekick Policy Learning for Active Visual Exploration. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su and Kristen Grauman: Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruohan Gao et al.: Object-Centric Representation Learning from Unlabeled Videos. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suyog Dutt Jain and Kristen Grauman: Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation. (2014)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sonal Gupta et al.: Watch, Listen & Learn: Co-training on Captioned Images and Videos. (2008)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hanwen Jiang et al.: Single-Stage Visual Query Localization in Egocentric Videos. (2023)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sudheendra Vijayanarasimhan and Kristen Grauman: Multi-Level Active Prediction of Useful Image Annotations for Recognition. (2008)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman and Rob Fergus: Learning Binary Hash Codes for Large-Scale Image Search. (2013)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Boqing Gong et al.: Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. (2017)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tom Yeh et al.: A picture is worth a thousand keywords: image-based object search on a mobile platform. (2005)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Changan Chen et al.: SoundSpaces: Audio-Visual Navigation in 3D Environments. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ruohan Gao et al.: VisualEchoes: Spatial Image Representation Learning Through Echolocation. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yuan-Ting Hu et al.: Proposal-Based Video Completion. (2020)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dinesh Jayaraman and Kristen Grauman: Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dinesh Jayaraman et al.: ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jaechul Kim and Kristen Grauman: Shape Sharing for Object Segmentation. (2012)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Miao Liu et al.: Egocentric Activity Recognition and Localization on a 3D Map. (2022)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tushar Nagarajan and Kristen Grauman: Attributes as Operators: Factorizing Unseen Attribute-Object Compositions. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su and Kristen Grauman: Detecting Engagement in Egocentric Video. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ke Zhang et al.: Retrospective Encoders for Video Summarization. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wei-Lun Chao et al.: Large-Margin Determinantal Point Processes. (2015)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kristen Grauman and Robert E. Kraut: Keynote Speakers. (2014)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Suyog Dutt Jain and Kristen Grauman: Click Carving: Segmenting Objects in Video with Point Clicks. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chun-Ju Yang et al.: Visual Question Answer Diversity. (2018)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Changan Chen et al.: SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. (2022)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sung Ju Hwang et al.: Semantic Kernel Forests from Multiple Taxonomies. (2012)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2017)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ziad Al-Halah and Kristen Grauman: Modeling Fashion Influence From Photos. (2021)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Santhosh K. Ramakrishnan et al.: Environment Predictive Coding for Embodied Agents. (2021)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chao-Yeh Chen and Kristen Grauman: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. 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(2017)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yu-Chuan Su and Kristen Grauman: Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. (2016)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kumar Ashutosh et al.: Detours for Navigating Instructional Videos. (2024)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Tushar Nagarajan et al.: Egocentric scene context for human-centric environment understanding from video. (2022)\"\n },\n {\n \"object\": \"Kristen Grauman\",\n \"predicate\": \"authored by\",\n \"subject\": \"Danna Gurari et al.: Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. 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(2019) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2019) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2018) authored by Kristen Grauman. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman written paper amount in year2023: 24. Kristen Grauman written paper amount in year2023: 24. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2021: 39. Kristen Grauman written paper amount in year2021: 39. Kristen Grauman written paper amount in year2022: 18. Kristen Grauman written paper amount in year2022: 18. Kristen Grauman written paper amount in year2018: 37. Kristen Grauman written paper amount in year2018: 37. Kristen Grauman written paper amount in year2017: 45. Kristen Grauman written paper amount in year2017: 45. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2014: 17. Kristen Grauman written paper amount in year2014: 17. Kristen Grauman written paper amount in year2012: 13. Kristen Grauman written paper amount in year2012: 13. Kristen Grauman written paper amount in year2013: 15. Kristen Grauman written paper amount in year2013: 15. Ruohan Gao and Kristen Grauman: Co-Separating Sounds of Visual Objects. (2019) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: Co-Separating Sounds of Visual Objects. (2019) authored by Kristen Grauman. Kristen Grauman written paper amount in year2016: 34. Kristen Grauman written paper amount in year2016: 34. Changan Chen et al.: SoundSpaces: Audio-Visual Navigation in 3D Environments. (2020) authored by Kristen Grauman. Kristen Grauman link https://scholar.google.com/citations?user=Jp6Mz1sAAAAJ. Kristen Grauman link http://www.wikidata.org/entity/Q56580712. Sagnik Majumder et al.: Move2Hear: Active Audio-Visual Source Separation. (2021) authored by Kristen Grauman. Sagnik Majumder et al.: Move2Hear: Active Audio-Visual Source Separation. (2021) authored by Kristen Grauman. Sagnik Majumder and Kristen Grauman: Active Audio-Visual Separation of Dynamic Sound Sources. (2022) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Approximate Correspondences in High Dimensions. (2006) authored by Kristen Grauman. Kristen Grauman et al.: Ego4D: Around the World in 3, 000 Hours of Egocentric Video. (2021) authored by Kristen Grauman. Kristen Grauman et al.: Ego4D: Around the World in 3, 000 Hours of Egocentric Video. (2022) authored by Kristen Grauman. Kristen Grauman creator note award (2013): Presidential Early Career Award for Scientists and Engineers. Changan Chen et al.: Audio-Visual Embodied Navigation. (2019) authored by Kristen Grauman She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003 followed by a PhD in 2006 supervised by Trevor Darrell. \\\\nShe has developed several patents for machine learning; including pyramid match kernel methods and a technique to efficiently identifying images. She works on computer vision and machine learning\",\n \"plain\": \"Kristen Grauman is Author. Kristen Grauman modified 2023-10-18. Kristen Grauman citedByCount 19136. Kristen Grauman written paper amount in year2012: 13. Kristen Grauman written paper amount in year2012: 13. Kristen Grauman written paper amount in year2013: 15. Kristen Grauman written paper amount in year2013: 15. Kristen Grauman written paper amount in year2014: 17. Kristen Grauman written paper amount in year2014: 17. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2015: 16. Kristen Grauman written paper amount in year2016: 34. Kristen Grauman written paper amount in year2016: 34. Kristen Grauman written paper amount in year2017: 45. Kristen Grauman written paper amount in year2017: 45. Kristen Grauman written paper amount in year2018: 37. Kristen Grauman written paper amount in year2018: 37. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2019: 32. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman written paper amount in year2020: 42. Kristen Grauman written paper amount in year2021: 39. Kristen Grauman written paper amount in year2021: 39. Kristen Grauman written paper amount in year2022: 18. Kristen Grauman written paper amount in year2022: 18. Kristen Grauman written paper amount in year2023: 24. Kristen Grauman written paper amount in year2023: 24. Kristen Grauman worksCount 418. Kristen Grauman name Kristen Grauman. Kristen Grauman member of The University of Texas at Austin. Kristen Grauman h-index 72. Kristen Grauman 2YrMeanCitedness 3.5185184478759765625. Kristen Grauman alternativeName K. Grauman. Kristen Grauman alternativeName Kristen Grauman. Kristen Grauman alternativeName Kristen L Grauman. Kristen Grauman alternativeName Kristen Lorraine Grauman. Kristen Grauman i10Index 188. Kristen Grauman orcidId https://orcid.org/0000-0002-9591-5873. Kristen Grauman is Creator. Kristen Grauman is Person. Kristen Grauman link http://www.wikidata.org/entity/Q56580712. Kristen Grauman affiliation University of Texas at Austin, USA. Kristen Grauman creator note award (2013): Presidential Early Career Award for Scientists and Engineers. Kristen Grauman primary affiliation University of Texas at Austin, USA. Kristen Grauman link https://mathgenealogy.org/id.php?id=259456. Kristen Grauman link https://scholar.google.com/citations?user=Jp6Mz1sAAAAJ. Kristen Grauman link https://dl.acm.org/profile/81100534268. Kristen Grauman link https://mathscinet.ams.org/mathscinet/MRAuthorID/994385. Kristen Grauman link https://en.wikipedia.org/wiki/Kristen_Grauman. Kristen Grauman and Bastian Leibe: Visual Object Recognition (2011) authored by Kristen Grauman. Andy Luong et al.: Reconstructing a fragmented face from a cryptographic identification protocol. (2013) authored by Kristen Grauman. Utkarsh Mall et al.: Discovering Underground Maps from Fashion. (2022) authored by Kristen Grauman. Bo Xiong and Kristen Grauman: Text detection in stores using a repetition prior. (2016) authored by Kristen Grauman. Devi Parikh et al.: Relative Attributes for Enhanced Human-Machine Communication. (2012) authored by Kristen Grauman. Sung Ju Hwang et al.: Analogy-preserving Semantic Embedding for Visual Object Categorization. (2013) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: SpotEM: Efficient Video Search for Episodic Memory. (2023) authored by Kristen Grauman. Ruohan Gao et al.: Learning to Separate Object Sounds by Watching Unlabeled Video. (2018) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Supervoxel-Consistent Foreground Propagation in Video. (2014) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: Occupancy Anticipation for Efficient Exploration and Navigation. (2020) authored by Kristen Grauman. Bo Xiong and Kristen Grauman: Detecting Snap Points in Egocentric Video with a Web Photo Prior. (2014) authored by Kristen Grauman. Bo Xiong and Kristen Grauman: Snap Angle Prediction for 360 ∘ Panoramas. (2018) authored by Kristen Grauman. Ke Zhang et al.: Video Summarization with Long Short-Term Memory. (2016) authored by Kristen Grauman. Priyanka Mandikal and Kristen Grauman: DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. (2021) authored by Kristen Grauman. Kristen Grauman: Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. (2020) authored by Kristen Grauman. Changan Chen et al.: Learning Audio-Visual Dereverberation. (2023) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Clues from the beaten path: Location estimation with bursty sequences of tourist photos. (2011) authored by Kristen Grauman. Steven Chen and Kristen Grauman: Compare and Contrast: Learning Prominent Visual Differences. (2018) authored by Kristen Grauman. Sagnik Majumder et al.: Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. (2023) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. (2009) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Efficient region search for object detection. (2011) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Efficient activity detection with max-subgraph search. (2012) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2019) authored by Kristen Grauman. Kristen Grauman et al.: Communication via Eye Blinks - Detection and Duration Analysis in Real Time. (2001) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Unsupervised Learning of Categories from Sets of Partially Matching Image Features. (2006) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Active Image Segmentation Propagation. (2016) authored by Kristen Grauman. Jaechul Kim and Kristen Grauman: Asymmetric region-to-image matching for comparing images with generic object categories. (2010) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. (2023) authored by Kristen Grauman. Krishna Kumar Singh et al.: Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. (2020) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. (2017) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Top-down pairwise potentials for piecing together multi-class segmentation puzzles. (2010) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Fine-Grained Visual Comparisons with Local Learning. (2014) authored by Kristen Grauman. Kristen Grauman: The Pyramid Match: Efficient Learning with Partial Correspondences. (2007) authored by Kristen Grauman. Boqing Gong et al.: Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. (2013) authored by Kristen Grauman. Danna Gurari and Kristen Grauman: CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question. (2017) authored by Kristen Grauman. Sagnik Majumder and Kristen Grauman: Active Audio-Visual Separation of Dynamic Sound Sources. (2022) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Active Frame Selection for Label Propagation in Videos. (2012) authored by Kristen Grauman. Zhuoliang Kang et al.: Learning with Whom to Share in Multi-task Feature Learning. (2011) authored by Kristen Grauman. Priyanka Mandikal and Kristen Grauman: Learning Dexterous Grasping with Object-Centric Visual Affordances. (2021) authored by Kristen Grauman. Kristen Grauman et al.: Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. (2004) authored by Kristen Grauman. Santhosh K. Ramakrishnan and Kristen Grauman: Sidekick Policy Learning for Active Visual Exploration. (2018) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. (2016) authored by Kristen Grauman. Ruohan Gao et al.: Object-Centric Representation Learning from Unlabeled Videos. (2016) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation. (2014) authored by Kristen Grauman. Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2016) authored by Kristen Grauman. Sonal Gupta et al.: Watch, Listen & Learn: Co-training on Captioned Images and Videos. (2008) authored by Kristen Grauman. Samy Bengio et al.: Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada. (2018) edited by Kristen Grauman. Hanwen Jiang et al.: Single-Stage Visual Query Localization in Egocentric Videos. (2023) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Multi-Level Active Prediction of Useful Image Annotations for Recognition. (2008) authored by Kristen Grauman. Kristen Grauman and Rob Fergus: Learning Binary Hash Codes for Large-Scale Image Search. (2013) authored by Kristen Grauman. Boqing Gong et al.: Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. (2017) authored by Kristen Grauman. Tom Yeh et al.: A picture is worth a thousand keywords: image-based object search on a mobile platform. (2005) authored by Kristen Grauman. Changan Chen et al.: SoundSpaces: Audio-Visual Navigation in 3D Environments. (2020) authored by Kristen Grauman. Ruohan Gao et al.: VisualEchoes: Spatial Image Representation Learning Through Echolocation. (2020) authored by Kristen Grauman. Yuan-Ting Hu et al.: Proposal-Based Video Completion. (2020) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. (2016) authored by Kristen Grauman. Dinesh Jayaraman et al.: ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. (2018) authored by Kristen Grauman. Jaechul Kim and Kristen Grauman: Shape Sharing for Object Segmentation. (2012) authored by Kristen Grauman. Miao Liu et al.: Egocentric Activity Recognition and Localization on a 3D Map. (2022) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Attributes as Operators: Factorizing Unseen Attribute-Object Compositions. (2018) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Detecting Engagement in Egocentric Video. (2016) authored by Kristen Grauman. Ke Zhang et al.: Retrospective Encoders for Video Summarization. (2018) authored by Kristen Grauman. Wei-Lun Chao et al.: Large-Margin Determinantal Point Processes. (2015) authored by Kristen Grauman. Kristen Grauman and Robert E. Kraut: Keynote Speakers. (2014) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Click Carving: Segmenting Objects in Video with Point Clicks. (2016) authored by Kristen Grauman. Chun-Ju Yang et al.: Visual Question Answer Diversity. (2018) authored by Kristen Grauman. Changan Chen et al.: SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. (2022) authored by Kristen Grauman. Sung Ju Hwang et al.: Semantic Kernel Forests from Multiple Taxonomies. (2012) authored by Kristen Grauman. Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2017) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: Modeling Fashion Influence From Photos. (2021) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: Environment Predictive Coding for Embodied Agents. (2021) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. (2016) authored by Kristen Grauman. Dinesh Jayaraman et al.: Unsupervised learning through one-shot image-based shape reconstruction. (2017) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. (2023) authored by Kristen Grauman. Suyog Dutt Jain et al.: FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos. (2017) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Learning to look around. (2017) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. (2016) authored by Kristen Grauman. Kumar Ashutosh et al.: Detours for Navigating Instructional Videos. (2024) authored by Kristen Grauman. Tushar Nagarajan et al.: Egocentric scene context for human-centric environment understanding from video. (2022) authored by Kristen Grauman. Danna Gurari et al.: Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. (2019) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Predicting Important Objects for Egocentric Video Summarization. (2015) authored by Kristen Grauman. Kristen Grauman et al.: Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. (2023) authored by Kristen Grauman. Boqing Gong et al.: Large-Margin Determinantal Point Processes. (2014) authored by Kristen Grauman. Ruohan Gao et al.: Im2Flow: Motion Hallucination from Static Images for Action Recognition. (2017) authored by Kristen Grauman. Abigale J. Stangl et al.: BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments. (2018) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Predicting the Location of \\\"interactees\\\" in Novel Human-Object Interactions. (2014) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: ViBE: Dressing for Diverse Body Shapes. (2020) authored by Kristen Grauman. Hao Jiang and Kristen Grauman: Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. (2017) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. (2008) authored by Kristen Grauman. Changan Chen et al.: Visual Acoustic Matching. (2022) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2019) authored by Kristen Grauman. Ruohan Gao et al.: Listen to Look: Action Recognition by Previewing Audio. (2020) authored by Kristen Grauman. Kristen Grauman et al.: Ego4D: Around the World in 3, 000 Hours of Egocentric Video. (2022) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Shape discovery from unlabeled image collections. (2009) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Learning the easy things first: Self-paced visual category discovery. (2011) authored by Kristen Grauman. Sudheendra Vijayanarasimhan et al.: Far-sighted active learning on a budget for image and video recognition. (2010) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. (2019) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Inferring Analogous Attributes. (2014) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Fast Contour Matching Using Approximate Earth Mover's Distance. (2004) authored by Kristen Grauman. Yunhui Guo et al.: SpotTune: Transfer Learning Through Adaptive Fine-Tuning. (2019) authored by Kristen Grauman. Danna Gurari et al.: Pull the Plug? Predicting If Computers or Humans Should Segment Images. (2016) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: Creating Capsule Wardrobes From Fashion Images. (2018) authored by Kristen Grauman. Prateek Jain et al.: Fast image search for learned metrics. (2008) authored by Kristen Grauman. Hao Jiang and Kristen Grauman: Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. (2017) authored by Kristen Grauman. Devi Parikh and Kristen Grauman: Interactively building a discriminative vocabulary of nameable attributes. (2011) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Compressible 360° Video Isomers. (2018) authored by Kristen Grauman. Bo Xiong et al.: Less Is More: Learning Highlight Detection From Video Duration. (2019) authored by Kristen Grauman. Kumar Ashutosh et al.: Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. (2023) authored by Kristen Grauman. Boqing Gong et al.: Reshaping Visual Datasets for Domain Adaptation. (2013) authored by Kristen Grauman. Arjun Somayazulu et al.: Self-Supervised Visual Acoustic Matching. (2023) authored by Kristen Grauman. Zihui Xue and Kristen Grauman: Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment. (2023) authored by Kristen Grauman. Boqing Gong et al.: Diverse Sequential Subset Selection for Supervised Video Summarization. (2014) authored by Kristen Grauman. Tushar Nagarajan et al.: EgoEnv: Human-centric environment representations from egocentric video. (2023) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Spherical Convolution for Fast Features from 360° Imagery. (2017) authored by Kristen Grauman. Anush K. Moorthy et al.: 3D Facial similarity: Automatic assessment versus perceptual judgments. (2010) authored by Kristen Grauman. Kumar Ashutosh et al.: HierVL: Learning Hierarchical Video-Language Embeddings. (2023) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots. (2013) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. (2007) authored by Kristen Grauman. Sung Ju Hwang and Kristen Grauman: Reading between the lines: Object localization using implicit cues from image tags. (2010) authored by Kristen Grauman. Suyog Dutt Jain et al.: FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos. (2017) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. (2016) authored by Kristen Grauman. Dinesh Jayaraman et al.: Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. (2014) authored by Kristen Grauman. Jaechul Kim and Kristen Grauman: Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates. (2009) authored by Kristen Grauman. Adriana Kovashka and Kristen Grauman: Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. (2010) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Object-graphs for context-aware category discovery. (2010) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Compressible 360deg Video Isomers. (2018) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Kernel Transformer Networks for Compact Spherical Convolution. (2019) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Large-scale live active learning: Training object detectors with crawled data and crowds. (2011) authored by Kristen Grauman. Ziad Al-Halah et al.: Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. (2022) authored by Kristen Grauman. Ruohan Gao et al.: Learning to Separate Object Sounds by Watching Unlabeled Video. (2018) authored by Kristen Grauman. Boqing Gong et al.: Geodesic flow kernel for unsupervised domain adaptation. (2012) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Efficient Image Matching with Distributions of Local Invariant Features. (2005) authored by Kristen Grauman. Kristen Grauman et al.: A Bayesian Approach to Image-Based Visual Hull Reconstruction. (2003) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. (2018) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Collect-cut: Segmentation with top-down cues discovered in multi-object images. (2010) authored by Kristen Grauman. Yong Jae Lee et al.: Discovering important people and objects for egocentric video summarization. (2012) authored by Kristen Grauman. Zuxuan Wu et al.: BlockDrop: Dynamic Inference Paths in Residual Networks. (2018) authored by Kristen Grauman. Zihui Xue et al.: Egocentric Video Task Translation. (2023) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: Environment Predictive Coding for Visual Navigation. (2022) authored by Kristen Grauman. Sunil Bandla and Kristen Grauman: Active Learning of an Action Detector from Untrimmed Videos. (2013) authored by Kristen Grauman. Rohit Girdhar and Kristen Grauman: Anticipative Video Transformer. (2021) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation. (2013) authored by Kristen Grauman. Brian Kulis and Kristen Grauman: Kernelized locality-sensitive hashing for scalable image search. (2009) authored by Kristen Grauman. Yong Jae Lee et al.: Key-segments for video object segmentation. (2011) authored by Kristen Grauman. Bo Xiong et al.: Multiview Pseudo-Labeling for Semi-supervised Learning from Video. (2021) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Just Noticeable Differences in Visual Attributes. (2015) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. (2018) authored by Kristen Grauman. Rishabh Garg et al.: Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-task Learning. (2023) authored by Kristen Grauman. Boqing Gong et al.: Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. (2014) authored by Kristen Grauman. Kristen Grauman and Serge J. Belongie: Editorial: Special Issue on Active and Interactive Methods in Computer Vision. (2014) authored by Kristen Grauman. Danna Gurari et al.: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). (2018) authored by Kristen Grauman. Danna Gurari et al.: Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. (2019) authored by Kristen Grauman. Sung Ju Hwang and Kristen Grauman: Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. (2012) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks. (2019) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Learning Image Representations Tied to Egomotion from Unlabeled Video. (2017) authored by Kristen Grauman. Ashish Kapoor et al.: Gaussian Processes for Object Categorization. (2010) authored by Kristen Grauman. Adriana Kovashka et al.: WhittleSearch: Interactive Image Search with Relative Attribute Feedback. (2015) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Foreground Focus: Unsupervised Learning from Partially Matching Images. (2009) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Predicting Important Objects for Egocentric Video Summarization. (2015) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: An Exploration of Embodied Visual Exploration. (2021) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Cost-Sensitive Active Visual Category Learning. (2011) authored by Kristen Grauman. Sudheendra Vijayanarasimhan and Kristen Grauman: Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. (2014) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Densifying Supervision for Fine-Grained Visual Comparisons. (2020) authored by Kristen Grauman. Michael S. Ryoo et al.: A task-driven intelligent workspace system to provide guidance feedback. (2010) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Inferring Unseen Views of People. (2014) authored by Kristen Grauman. Changan Chen et al.: Novel-View Acoustic Synthesis. (2023) authored by Kristen Grauman. Kun Duan et al.: Discovering localized attributes for fine-grained recognition. (2012) authored by Kristen Grauman. Jaechul Kim and Kristen Grauman: Boundary preserving dense local regions. (2011) authored by Kristen Grauman. Jaechul Kim et al.: Deformable Spatial Pyramid Matching for Fast Dense Correspondences. (2013) authored by Kristen Grauman. Adriana Kovashka et al.: WhittleSearch: Image search with relative attribute feedback. (2012) authored by Kristen Grauman. Lucy Liang and Kristen Grauman: Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes. (2014) authored by Kristen Grauman. Zheng Lu and Kristen Grauman: Story-Driven Summarization for Egocentric Video. (2013) authored by Kristen Grauman. Tushar Nagarajan et al.: Ego-Topo: Environment Affordances From Egocentric Video. (2020) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. (2022) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Kernel Transformer Networks for Compact Spherical Convolution. (2019) authored by Kristen Grauman. Hui Wu et al.: Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. (2021) authored by Kristen Grauman. Changan Chen et al.: Semantic Audio-Visual Navigation. (2021) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency. (2021) authored by Kristen Grauman. Danna Gurari et al.: VizWiz Grand Challenge: Answering Visual Questions From Blind People. (2018) authored by Kristen Grauman. Sung Ju Hwang et al.: Sharing features between objects and their attributes. (2011) authored by Kristen Grauman. Zhenpei Yang et al.: Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. (2019) authored by Kristen Grauman. Ke Zhang et al.: Summary Transfer: Exemplar-Based Subset Selection for Video Summarization. (2016) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: From Paris to Berlin: Discovering Fashion Style Influences Around the World. (2020) authored by Kristen Grauman. Ruohan Gao et al.: Im2Flow: Motion Hallucination From Static Images for Action Recognition. (2018) authored by Kristen Grauman. Yanghao Li et al.: Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. (2021) authored by Kristen Grauman. Evonne Ng et al.: You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. (2020) authored by Kristen Grauman. Xixi Hu et al.: Learning to Map Efficiently by Active Echolocation. (2023) authored by Kristen Grauman. Jaechul Kim and Kristen Grauman: Boundary Preserving Dense Local Regions. (2015) authored by Kristen Grauman. Brian Kulis and Kristen Grauman: Kernelized Locality-Sensitive Hashing. (2012) authored by Kristen Grauman. Brian Kulis et al.: Fast Similarity Search for Learned Metrics. (2009) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Compressible 360$^{\\\\circ }$∘ Video Isomers. (2021) authored by Kristen Grauman. Sudheendra Vijayanarasimhan et al.: Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. (2014) authored by Kristen Grauman. Bo Xiong et al.: Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. (2019) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: Emergence of exploratory look-around behaviors through active observation completion. (2019) authored by Kristen Grauman. Changan Chen et al.: Semantic Audio-Visual Navigation. (2020) authored by Kristen Grauman. Miao Liu et al.: Egocentric Activity Recognition and Localization on a 3D Map. (2021) authored by Kristen Grauman. Changan Chen et al.: Audio-Visual Waypoints for Navigation. (2020) authored by Kristen Grauman. Suyog Dutt Jain et al.: Pixel Objectness. (2017) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion. (2016) authored by Kristen Grauman. Steven Chen and Kristen Grauman: Compare and Contrast: Learning Prominent Visual Differences. (2018) authored by Kristen Grauman. Hao Jiang and Kristen Grauman: Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video. (2016) authored by Kristen Grauman. Priyanka Mandikal and Kristen Grauman: Dexterous Robotic Grasping with Object-Centric Visual Affordances. (2020) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: Creating Capsule Wardrobes from Fashion Images. (2017) authored by Kristen Grauman. Wei-Lin Hsiao et al.: Fashion++: Minimal Edits for Outfit Improvement. (2019) authored by Kristen Grauman. Santhosh K. Ramakrishnan and Kristen Grauman: Sidekick Policy Learning for Active Visual Exploration. (2018) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. (2022) authored by Kristen Grauman. Kumar Ashutosh et al.: What You Say Is What You Show: Visual Narration Detection in Instructional Videos. (2023) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery. (2017) authored by Kristen Grauman. Zhenpei Yang et al.: Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. (2019) authored by Kristen Grauman. Arjun Somayazulu et al.: Self-Supervised Visual Acoustic Matching. (2023) authored by Kristen Grauman. Jason J. Corso et al.: Video Analysis for Body-worn Cameras in Law Enforcement. (2016) authored by Kristen Grauman. Hao Jiang and Kristen Grauman: Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly. (2016) authored by Kristen Grauman. Changan Chen et al.: Learning Audio-Visual Dereverberation. (2021) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Detecting Engagement in Egocentric Video. (2016) authored by Kristen Grauman. Priyanka Mandikal and Kristen Grauman: DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. (2022) authored by Kristen Grauman. Danna Gurari et al.: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). (2017) authored by Kristen Grauman. Ruohan Gao et al.: Learning to Separate Object Sounds by Watching Unlabeled Video. (2018) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: Occupancy Anticipation for Efficient Exploration and Navigation. (2020) authored by Kristen Grauman. Sung Ju Hwang et al.: Learning a Tree of Metrics with Disjoint Visual Features. (2011) authored by Kristen Grauman. Prateek Jain et al.: Online Metric Learning and Fast Similarity Search. (2008) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Shaping embodied agent behavior with activity-context priors from egocentric video. (2021) authored by Kristen Grauman. Shuhan Tan et al.: EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. (2023) authored by Kristen Grauman. Hao Tang et al.: EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. (2023) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: Approximate Correspondences in High Dimensions. (2006) authored by Kristen Grauman. Prateek Jain et al.: Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. (2010) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Zero-shot recognition with unreliable attributes. (2014) authored by Kristen Grauman. Sagnik Majumder et al.: Few-Shot Audio-Visual Learning of Environment Acoustics. (2022) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Learning Affordance Landscapes for Interaction Exploration in 3D Environments. (2020) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Predicting Useful Neighborhoods for Lazy Local Learning. (2014) authored by Kristen Grauman. Ziad Al-Halah et al.: Fashion Forward: Forecasting Visual Style in Fashion. (2017) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: Co-Separating Sounds of Visual Objects. (2019) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. (2005) authored by Kristen Grauman. Kristen Grauman et al.: Inferring 3D Structure with a Statistical Image-Based Shape Model. (2003) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. (2021) authored by Kristen Grauman. Wei-Lin Hsiao et al.: Fashion++: Minimal Edits for Outfit Improvement. (2019) authored by Kristen Grauman. Adriana Kovashka and Kristen Grauman: Attribute Pivots for Guiding Relevance Feedback in Image Search. (2013) authored by Kristen Grauman. Adriana Kovashka et al.: Actively selecting annotations among objects and attributes. (2011) authored by Kristen Grauman. Tushar Nagarajan et al.: Grounded Human-Object Interaction Hotspots From Video. (2019) authored by Kristen Grauman. Devi Parikh and Kristen Grauman: Relative attributes. (2011) authored by Kristen Grauman. Antonino Furnari et al.: Next-active-object prediction from egocentric videos. (2017) authored by Kristen Grauman. Kristen Grauman and Trevor Darrell: The Pyramid Match Kernel: Efficient Learning with Sets of Features. (2007) authored by Kristen Grauman. Krishna Kumar Singh et al.: Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. (2020) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Compressible 360° Video Isomers. (2017) authored by Kristen Grauman. Ziad Al-Halah et al.: Fashion Forward: Forecasting Visual Style in Fashion. (2017) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: From One-Trick Ponies to All-Rounders: On-Demand Learning for Image Restoration. (2016) authored by Kristen Grauman. Danna Gurari and Kristen Grauman: Visual Question: Predicting If a Crowd Will Agree on the Answer. (2016) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2018) authored by Kristen Grauman. Ke Zhang et al.: Video Summarization with Long Short-term Memory. (2016) authored by Kristen Grauman. Ziad Al-Halah et al.: Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. (2022) authored by Kristen Grauman. Tushar Nagarajan et al.: EGO-TOPO: Environment Affordances from Egocentric Video. (2020) authored by Kristen Grauman. Sagnik Majumder et al.: Active Audio-Visual Separation of Dynamic Sound Sources. (2022) authored by Kristen Grauman. Zihui Xue et al.: Egocentric Video Task Translation. (2022) authored by Kristen Grauman. Kristen Grauman: Matching sets of features for efficient retrieval and recognition. (2006) authored by Kristen Grauman. Changan Chen et al.: Learning to Set Waypoints for Audio-Visual Navigation. (2021) authored by Kristen Grauman. Rishabh Garg et al.: Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. (2021) authored by Kristen Grauman. Kristen Grauman: Action and Attention in First-person Vision. (2015) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Foreground Focus: Finding Meaningful Features in Unlabeled Images. (2008) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Face Discovery with Social Context. (2011) authored by Kristen Grauman. Tomas McCandless and Kristen Grauman: Object-Centric Spatio-Temporal Pyramids for Egocentric Activity Recognition. (2013) authored by Kristen Grauman. Jeff Donahue and Kristen Grauman: Annotator rationales for visual recognition. (2011) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: On-demand Learning for Deep Image Restoration. (2017) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: Learning the Latent \\\"Look\\\": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. (2017) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Learning Image Representations Tied to Ego-Motion. (2015) authored by Kristen Grauman. Ashish Kapoor et al.: Active Learning with Gaussian Processes for Object Categorization. (2007) authored by Kristen Grauman. Adriana Kovashka and Kristen Grauman: Attribute Adaptation for Personalized Image Search. (2013) authored by Kristen Grauman. Sagnik Majumder et al.: Move2Hear: Active Audio-Visual Source Separation. (2021) authored by Kristen Grauman. Senthil Purushwalkam et al.: Audio-Visual Floorplan Reconstruction. (2021) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images. (2017) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. (2017) authored by Kristen Grauman. Antonino Furnari et al.: Editorial: Special Section on Egocentric Perception. (2023) authored by Kristen Grauman. Kristen Grauman et al.: Guest Editorial: Best of CVPR 2015. (2017) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Learning Spherical Convolution for $360^{\\\\circ }$360∘ Recognition. (2022) authored by Kristen Grauman. Megan M. Baker et al.: A domain-agnostic approach for characterization of lifelong learning systems. (2023) authored by Kristen Grauman. Kristen Grauman et al.: Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. (2003) authored by Kristen Grauman. Kristen Grauman: Efficiently searching for similar images. (2010) authored by Kristen Grauman. Hao Tang et al.: EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. (2023) authored by Kristen Grauman. Tushar Nagarajan et al.: Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). (2019) authored by Kristen Grauman. Ruohan Gao et al.: VisualEchoes: Spatial Image Representation Learning through Echolocation. (2020) authored by Kristen Grauman. Sagnik Majumder et al.: Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos. (2023) authored by Kristen Grauman. Sagnik Majumder et al.: Move2Hear: Active Audio-Visual Source Separation. (2021) authored by Kristen Grauman. Hanwen Jiang et al.: Single-Stage Visual Query Localization in Egocentric Videos. (2023) authored by Kristen Grauman. Changan Chen et al.: SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning. (2022) authored by Kristen Grauman. Ke Zhang et al.: Summary Transfer: Exemplar-based Subset Selection for Video Summarization. (2016) authored by Kristen Grauman. Changan Chen et al.: Audio-Visual Embodied Navigation. (2019) authored by Kristen Grauman. Ruohan Gao et al.: Object-Centric Representation Learning from Unlabeled Videos. (2016) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. (2015) authored by Kristen Grauman. Sagnik Majumder et al.: Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. (2023) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: An Exploration of Embodied Visual Exploration. (2020) authored by Kristen Grauman. Sung Ju Hwang and Kristen Grauman: Accounting for the Relative Importance of Objects in Image Retrieval. (2010) authored by Kristen Grauman. David Demirdjian et al.: Avoiding the \\\"Streetlight Effect\\\": Tracking by Exploring Likelihood Modes. (2005) authored by Kristen Grauman. Devi Parikh and Kristen Grauman: Implied Feedback: Learning Nuances of User Behavior in Image Search. (2013) authored by Kristen Grauman. Sung Ju Hwang and Kristen Grauman: Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. (2012) authored by Kristen Grauman. Yong Jae Lee and Kristen Grauman: Object-Graphs for Context-Aware Visual Category Discovery. (2012) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: From Paris to Berlin: Discovering Fashion Style Influences Around the World. (2020) authored by Kristen Grauman. Utkarsh Mall et al.: Discovering Underground Maps from Fashion. (2020) authored by Kristen Grauman. Santhosh Kumar Ramakrishnan et al.: SpotEM: Efficient Video Search for Episodic Memory. (2023) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Attributes as Operators. (2018) authored by Kristen Grauman. Tushar Nagarajan et al.: Grounded Human-Object Interaction Hotspots from Video. (2018) authored by Kristen Grauman. Yanghao Li et al.: Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos. (2021) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Kernel Transformer Networks for Compact Spherical Convolution. (2018) authored by Kristen Grauman. Kumar Ashutosh et al.: Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. (2023) authored by Kristen Grauman. Megan M. Baker et al.: A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. (2023) authored by Kristen Grauman. Chao-Yeh Chen and Kristen Grauman: Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. (2016) authored by Kristen Grauman. Sukjin Han et al.: Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts. (2021) authored by Kristen Grauman. Fanyi Xiao et al.: Audiovisual SlowFast Networks for Video Recognition. (2020) authored by Kristen Grauman. Yu-Chuan Su and Kristen Grauman: Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. (2017) authored by Kristen Grauman. Zihui Xue et al.: Learning Object State Changes in Videos: An Open-World Perspective. (2023) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Dense Supervision for Visual Comparisons via Synthetic Images. (2016) authored by Kristen Grauman. Ruohan Gao et al.: Listen to Look: Action Recognition by Previewing Audio. (2019) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: End-to-End Policy Learning for Active Visual Categorization. (2019) authored by Kristen Grauman. Adriana Kovashka and Kristen Grauman: Discovering Attribute Shades of Meaning with the Crowd. (2015) authored by Kristen Grauman. Adriana Kovashka et al.: Crowdsourcing in Computer Vision. (2016) authored by Kristen Grauman. Nicole D. Payntar et al.: Learning Patterns of Tourist Movement and Photography from Geotagged Photos at Archaeological Heritage Sites in Cuzco, Peru. (2020) authored by Kristen Grauman. Changan Chen et al.: Novel-View Acoustic Synthesis. (2023) authored by Kristen Grauman. Suyog Dutt Jain and Kristen Grauman: Click Carving: Segmenting Objects in Video with Point Clicks. (2016) authored by Kristen Grauman. Antonino Furnari et al.: Next-Active-Object prediction from Egocentric Videos. (2019) authored by Kristen Grauman. Bo Xiong et al.: Multiview Pseudo-Labeling for Semi-supervised Learning from Video. (2021) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Learning image representations equivariant to ego-motion. (2015) authored by Kristen Grauman. Adriana Kovashka et al.: Crowdsourcing in Computer Vision. (2016) authored by Kristen Grauman. Kristen Grauman et al.: Ego4D: Around the World in 3, 000 Hours of Egocentric Video. (2021) authored by Kristen Grauman. Evonne Ng et al.: You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. (2019) authored by Kristen Grauman. Ziad Al-Halah and Kristen Grauman: Modeling Fashion Influence from Photos. (2020) authored by Kristen Grauman. Bo Xiong et al.: Less is More: Learning Highlight Detection from Video Duration. (2019) authored by Kristen Grauman. Hanwen Jiang et al.: Few-View Object Reconstruction with Unknown Categories and Camera Poses. (2022) authored by Kristen Grauman. Adriana Kovashka et al.: WhittleSearch: Interactive Image Search with Relative Attribute Feedback. (2015) authored by Kristen Grauman. Zuxuan Wu et al.: BlockDrop: Dynamic Inference Paths in Residual Networks. (2017) authored by Kristen Grauman. Zihui Xue et al.: Egocentric Video Task Translation @ Ego4D Challenge 2022. (2023) authored by Kristen Grauman. Sagnik Majumder et al.: Few-Shot Audio-Visual Learning of Environment Acoustics. (2022) authored by Kristen Grauman. Shuhan Tan et al.: EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding. (2023) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: Dressing for Diverse Body Shapes. (2019) authored by Kristen Grauman. Danna Gurari et al.: VizWiz Grand Challenge: Answering Visual Questions from Blind People. (2018) authored by Kristen Grauman. Matt Deitke et al.: Retrospectives on the Embodied AI Workshop. (2022) authored by Kristen Grauman. Changan Chen et al.: Visual Acoustic Matching. (2022) authored by Kristen Grauman. Aron Yu and Kristen Grauman: Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. (2019) authored by Kristen Grauman. Rishabh Garg et al.: Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video. (2021) authored by Kristen Grauman. Bo Xiong and Kristen Grauman: Snap Angle Prediction for 360° Panorama. (2018) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Shaping embodied agent behavior with activity-context priors from egocentric video. (2021) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: Co-Separating Sounds of Visual Objects. (2019) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. (2021) authored by Kristen Grauman. Ruohan Gao and Kristen Grauman: VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency. (2021) authored by Kristen Grauman. Senthil Purushwalkam et al.: Audio-Visual Floorplan Reconstruction. (2020) authored by Kristen Grauman. Wei-Lin Hsiao and Kristen Grauman: Learning the Latent \\\"Look\\\": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images. (2017) authored by Kristen Grauman. Yu-Chuan Su et al.: Pano2Vid: Automatic Cinematography for Watching 360° Videos. (2016) authored by Kristen Grauman. Zihui Xue and Kristen Grauman: Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment. (2023) authored by Kristen Grauman. Yunhui Guo et al.: SpotTune: Transfer Learning through Adaptive Fine-tuning. (2018) authored by Kristen Grauman. Bo Xiong et al.: Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. (2018) authored by Kristen Grauman. Dinesh Jayaraman and Kristen Grauman: Zero Shot Recognition with Unreliable Attributes. (2014) authored by Kristen Grauman. Santhosh K. Ramakrishnan et al.: Emergence of Exploratory Look-Around Behaviors through Active Observation Completion. (2019) authored by Kristen Grauman. Rohit Girdhar and Kristen Grauman: Anticipative Video Transformer. (2021) authored by Kristen Grauman. Kumar Ashutosh et al.: HierVL: Learning Hierarchical Video-Language Embeddings. (2023) authored by Kristen Grauman. Adriana Kovashka and Kristen Grauman: Discovering Attribute Shades of Meaning with the Crowd. (2015) authored by Kristen Grauman. Tushar Nagarajan and Kristen Grauman: Learning Affordance Landscapes forInteraction Exploration in 3D Environments. (2020) authored by Kristen Grauman. Bo Xiong and Kristen Grauman: Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior. (2015) authored by Kristen Grauman{'author_wikipedia_text': 'Kristen Lorraine Grauman is a Professor of Computer Science at the University of Texas at Austin on leave as a research scientist at Facebook AI Research (FAIR). She works on computer vision and machine learning.\\\\nGrauman studied computer science at Boston College, graduating summa cum laude in 2001. She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003 followed by a PhD in 2006 supervised by Trevor Darrell. During her PhD Grauman worked as a research intern at Intel and Lawrence Berkeley National Laboratory.\\\\nIn 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at University of Texas at Austin. Her research looks to develop algorithms that can categorise and detect objects. She is interested in how computer vision can solicit information from humans. She was promoted to Associate Professor with tenure in 2011.\\\\nShe is an Alfred P. Sloan Foundation Fellow. She was awarded an Office of Naval Research young investigator award in 2012. In 2013 she was awarded a Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. She is working on techniques to get computers to watch and summarise videos for easy viewing. The egocentric films will be used to aid the elderly and those with impaired-memories.\\\\nShe has developed several patents for machine learning; including pyramid match kernel methods and a technique to efficiently identifying images.\\\\nGrauman serves as associate editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. As of May 2018, Grauman is on leave at Facebook AI Research (FAIR).\\\\nHer awards and honors include:'}\",\n \"verbalizer_on_all_triples\": \"Kristen Grauman wrote 13 papers in 2012.\\nKristen Grauman wrote 15 papers in 2013.\\nKristen Grauman wrote 17 papers in 2014.\\nKristen Grauman wrote 16 papers in 2015.\\nKristen Grauman's written paper amount in year 2016 is 34.\\nKristen Grauman's written paper amount in year 2017 is 45.\\nKristen Grauman's written paper amount in year 2018 is 37.\\nKristen Grauman's written paper amount in year 2019 is 32.\\nKristen Grauman's written paper amount in year 2020 is 42.\\nKristen Grauman's written paper amount in year2021 is 39.\\nKristen Grauman's written paper amount in year2022 is 18,000.\\nKristen Grauman's written paper amount in year2023 is 24.\\nKristen Grauman's 2YrMeanCitedness is 3.5185184478759765625.\\nKristen Grauman is affiliated with University of Texas at Austin, USA.\\nKristen Grauman is also known as Kristen L Grauman, Kristen Lorraine Grauman and K Grauman.\\n\\\"Sung Ju Hwang et al.: Sharing features between objects and their attributes. (2011), Sagnik Majumder et al.: Few-Shot Audio-Visual Learning of Environment Acoustics. (2022), Ke Zhang et al.: Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. (2023), Ziad Al-Halah et al.: Fashion Forward: Forecasting Visual Style in Fashion. (2017), Sudheendra Vi\\nKristen Grauman was cited by ByCount 19136.\\nKristen Grauman won the Presidential Early Career Award for Scientists and Engineers in 2013.\\nSamy Bengio et al.: Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, Montreal, Canada. (2018) was edited by Kristen Grauman.\\nKristen Grauman has an h-index of 72.\\nKristen Grauman has an i10Index of 188.\\nKristen Grauman is the creator and the author of Kristen Grauman.\\nKristen Grauman's link is \\\"https://scholar.google.com/citations?user=Jp6Mz1sAAAAJ, https://mathscinet.ams.org/mathscinet/MRAuthorID/994385, https://dl.acm.org/profile/81100534268, https://en.wikipedia.org/wiki/Kristen_Grauman, https://mathgenealogy.org/\\nKristen Grauman is a member of The University of Texas at Austin.\\nKristen Grauman was modified on 2023-10-18.\\nKristen Grauman's name is Kristen Grauman.\\nKristen Grauman has orcidId https://orcid.org/0000-0002-9591-5873.\\nKristen Grauman is affiliated with the University of Texas at Austin, USA.\\nKristen Grauman has 418 works count.{'author_wikipedia_text': 'Kristen Lorraine Grauman is a Professor of Computer Science at the University of Texas at Austin on leave as a research scientist at Facebook AI Research (FAIR). She works on computer vision and machine learning.\\\\nGrauman studied computer science at Boston College, graduating summa cum laude in 2001. She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003 followed by a PhD in 2006 supervised by Trevor Darrell. During her PhD Grauman worked as a research intern at Intel and Lawrence Berkeley National Laboratory.\\\\nIn 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at University of Texas at Austin. Her research looks to develop algorithms that can categorise and detect objects. She is interested in how computer vision can solicit information from humans. She was promoted to Associate Professor with tenure in 2011.\\\\nShe is an Alfred P. Sloan Foundation Fellow. She was awarded an Office of Naval Research young investigator award in 2012. In 2013 she was awarded a Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. She is working on techniques to get computers to watch and summarise videos for easy viewing. The egocentric films will be used to aid the elderly and those with impaired-memories.\\\\nShe has developed several patents for machine learning; including pyramid match kernel methods and a technique to efficiently identifying images.\\\\nGrauman serves as associate editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. As of May 2018, Grauman is on leave at Facebook AI Research (FAIR).\\\\nHer awards and honors include:'}\",\n \"verbalizer_plus_evidence_matching\": \"Kristen Grauman wrote 13 papers in 2012.\\nKristen Grauman wrote 15 papers in 2013.\\nKristen Grauman wrote 17 papers in 2014.\\nKristen Grauman wrote 16 papers in 2015.\\nKristen Grauman's written paper amount in year 2016 is 34.\\nKristen Grauman's written paper amount in year 2017 is 45.\\nKristen Grauman's written paper amount in year 2018 is 37.\\nKristen Grauman's written paper amount in year 2019 is 32.\\nKristen Grauman's written paper amount in year 2020 is 42.\\nKristen Grauman's written paper amount in year2021 is 39.\\nKristen Grauman's written paper amount in year2022 is 18,000.\\nKristen Grauman's written paper amount in year2023 is 24.\\n\\\"Kristen Grauman et al.: Ego4D: Around the World in 3, 000 Hours of Egocentric Video. (2022), Changan Chen et al.: SoundSpaces: Audio-Visual Embodied Navigation. (2019), Sagnik Majumder and Kristen Grauman: Active Audio-Visual Separation of Dynamic Sound Sources. (2022), Ruohan Gao and Kristen Grauman: 2.5D Visual Sound. (2018), Ruohan Gao\\nKristen Grauman won the Presidential Early Career Award for Scientists and Engineers in 2013.\\nKristen Grauman's link is https://scholar.google.com/citations?user=Jp6Mz1sAAAAJ and also http://www.wikidata.org/entity/Q56580712. She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003 followed by a PhD in 2006 supervised by Trevor Darrell. \\\\nShe has developed several patents for machine learning; including pyramid match kernel methods and a technique to efficiently identifying images. She works on computer vision and machine learning\"\n}"}}},{"rowIdx":87,"cells":{"id":{"kind":"string","value":"7244cd1e-8ff1-4a6c-b651-79edd053068a"},"triples_number":{"kind":"number","value":58,"string":"58"},"question":{"kind":"string","value":"What is the type of the institution where the author of the paper 'A quantum-inspired classical algorithm for recommendation systems' is affiliated with?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"1\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"8.0\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"University of Washington, WA, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"E Tang\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"Tang Ewin\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Ewin Tang\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Matt Ziegler et al.: Demo: Visualizing USSD and IVR Usage Data with Icicle Charts. (2022)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nai-Hui Chia et al.: Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. (2020)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2019)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"András Gilyén et al.: Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension. (2018)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nai-Hui Chia et al.: Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. 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(2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jeongwan Haah et al.: Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (2022)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jeongwan Haah et al.: Query-optimal estimation of unitary channels in diamond distance. (2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ewin Tang: Quantum-inspired classical algorithms for principal component analysis and supervised clustering. (2018)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ainesh Bakshi et al.: Learning quantum Hamiltonians at any temperature in polynomial time. (2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jeongwan Haah et al.: Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (2021)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"João F. Doriguello et al.: Do you know what q-means? (2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ainesh Bakshi and Ewin Tang: An Improved Classical Singular Value Transformation for Quantum Machine Learning. (2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nai-Hui Chia et al.: Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. (2019)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ewin Tang and Kevin Tian: A CS guide to the quantum singular value transformation. (2023)\"\n },\n {\n \"object\": \"Ewin Tang\",\n \"predicate\": \"authored by\",\n \"subject\": \"András Gilyén et al.: An improved quantum-inspired algorithm for linear regression. 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Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2019) authored by Ewin Tang. Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2018) authored by Ewin Tang. Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2018) authored by Ewin Tang. András Gilyén et al.: An improved quantum-inspired algorithm for linear regression. (2022) authored by Ewin Tang\\\\nHer first work in quantum computing was her 2018 thesis dissertation titled A quantum-inspired classical algorithm for recommendation systems,[pub 5] supervised by Scott Aaronson, allowing her to complete two undergraduate degrees in computer science and in pure mathematics from the UT Austin. \\\\nIn 2016, Iordanis Kerenidis and Anupam Prakash, found an exponentially faster quantum algorithm; this algorithm uses the HHL algorithm to sample the product directly from an approximation of the preference matrix without reconstructing the matrix itself, thus avoiding the polynomial limit mentioned above. [pub 7]\\\\nThere was wide media coverage in response to Tang\\\\'s work on using classical computing rather than quantum computing to tackle the recommendation problem, due to the perception that it eliminates one of the best examples of quantum speedup. Inspired by the quantum solution, based on the HHL algorithm, she found[pub 5][pub 6][pub 7] classical algorithms solving these problem in a similar time as the quantum algorithms, under similar assumptions, thus \\\"dequantizing\\\" them and exponentially improving over the best known classical algorithms. Tang\\\\'s classical algorithm, inspired by the fast quantum algorithm of Kerenidis and Prakash, is able to perform the same calculations but on a normal computer without the need for quantum machine learning. She pursued her research and generalized the above result, dequantizing other quantum machine learning HHL-based problems: principal component analysis[pub 6] and low-rank stochastic regression\",\n \"plain\": \"Ewin Tang is Author. Ewin Tang modified 2023-10-18. Ewin Tang citedByCount 344. Ewin Tang written paper amount in year2017: 1. Ewin Tang written paper amount in year2017: 1. Ewin Tang written paper amount in year2018: 3. Ewin Tang written paper amount in year2018: 3. Ewin Tang written paper amount in year2019: 2. Ewin Tang written paper amount in year2019: 2. Ewin Tang written paper amount in year2020: 3. Ewin Tang written paper amount in year2020: 3. Ewin Tang written paper amount in year2021: 2. Ewin Tang written paper amount in year2021: 2. Ewin Tang written paper amount in year2022: 6. Ewin Tang written paper amount in year2022: 6. Ewin Tang written paper amount in year2023: 5. Ewin Tang written paper amount in year2023: 5. Ewin Tang worksCount 23. Ewin Tang name Ewin Tang. Ewin Tang member of University of Washington. Ewin Tang h-index 7. Ewin Tang 2YrMeanCitedness 8.0. Ewin Tang alternativeName E Tang. Ewin Tang alternativeName Ewin Tang. Ewin Tang alternativeName Tang Ewin. Ewin Tang i10Index 6. Ewin Tang orcidId https://orcid.org/0000-0002-7451-9687. Ewin Tang is Creator. Ewin Tang is Person. Ewin Tang link http://www.wikidata.org/entity/Q61594737. Ewin Tang affiliation University of Washington, WA, USA. Ewin Tang link https://ewintang.com/. Ewin Tang link https://www.quantamagazine.org/teenager-finds-classical-alternative-to-quantum-recommendation-algorithm-20180731/. Ewin Tang primary affiliation University of Washington, WA, USA. Ewin Tang link https://ewintang.com/. Ewin Tang link https://scholar.google.com/citations?user=ytm_89IAAAAJ. Ewin Tang link https://twitter.com/ewintang. Ewin Tang link https://en.wikipedia.org/wiki/Ewin_Tang. Matt Ziegler et al.: Demo: Visualizing USSD and IVR Usage Data with Icicle Charts. (2022) authored by Ewin Tang. Nai-Hui Chia et al.: Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. (2020) authored by Ewin Tang. Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2019) authored by Ewin Tang. András Gilyén et al.: Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension. (2018) authored by Ewin Tang. Nai-Hui Chia et al.: Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. (2020) authored by Ewin Tang. András Gilyén et al.: An improved quantum-inspired algorithm for linear regression. (2022) authored by Ewin Tang. Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2018) authored by Ewin Tang. Ewin Tang: A quantum-inspired classical algorithm for recommendation systems. (2018) authored by Ewin Tang. Nai-Hui Chia et al.: Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. (2022) authored by Ewin Tang. Jeongwan Haah et al.: Query-optimal estimation of unitary channels in diamond distance. (2023) authored by Ewin Tang. Jeongwan Haah et al.: Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (2022) authored by Ewin Tang. Jeongwan Haah et al.: Query-optimal estimation of unitary channels in diamond distance. (2023) authored by Ewin Tang. Ewin Tang: Quantum-inspired classical algorithms for principal component analysis and supervised clustering. (2018) authored by Ewin Tang. Ainesh Bakshi et al.: Learning quantum Hamiltonians at any temperature in polynomial time. (2023) authored by Ewin Tang. Jeongwan Haah et al.: Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (2021) authored by Ewin Tang. João F. Doriguello et al.: Do you know what q-means? (2023) authored by Ewin Tang. Ainesh Bakshi and Ewin Tang: An Improved Classical Singular Value Transformation for Quantum Machine Learning. (2023) authored by Ewin Tang. Nai-Hui Chia et al.: Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. (2019) authored by Ewin Tang. Ewin Tang and Kevin Tian: A CS guide to the quantum singular value transformation. (2023) authored by Ewin Tang. András Gilyén et al.: An improved quantum-inspired algorithm for linear regression. (2020) authored by Ewin Tang{'author_wikipedia_text': 'Ewin Tang (born 2000) is a computer scientist at the University of Washington. She was named as one of 2019 Science Forbes 30 Under 30 for her work developing algorithms for classical computers to perform calculations that were previously deemed only possible with quantum computers. That research began under the supervision of Scott Aaronson when Tang was only a teenager.\\\\nTang skipped the fourth, fifth, and sixth grades in order to enroll at the University of Texas at Austin at the age of 14. Tang\\\\'s first experience of research involved working on in vivo imaging for biomedical research such as optical probes to view polarised macrophages during foreign body reactions,[pub 1] bacterial infection,[pub 2] fibrin deposition,[pub 3] and real-time detection of neutrophil responses.[pub 4] In 2014 Tang was awarded an Davidson Fellow Honorable Mention for her work on an optical imaging probe for real-time detection of infection. In 2017 she took a class on quantum information taught by Scott Aaronson, who would soon become her dissertation adviser. Aaronson recognised Tang as an \\\"unusually talented student\\\" and presented her with a range of research projects to choose from; among them was the recommendation problem.\\\\nBefore Tang\\\\'s work, the best known classical algorithms solving some linear algebra problems were exponentially slower, under some assumptions, than the best quantum algorithm for the same \\\\nproblem. Inspired by the quantum solution, based on the HHL algorithm, she found[pub 5][pub 6][pub 7] classical algorithms solving these problem in a similar time as the quantum algorithms, under similar assumptions, thus \\\"dequantizing\\\" them and exponentially improving over the best known classical algorithms.\\\\nHer first work in quantum computing was her 2018 thesis dissertation titled A quantum-inspired classical algorithm for recommendation systems,[pub 5] supervised by Scott Aaronson, allowing her to complete two undergraduate degrees in computer science and in pure mathematics from the UT Austin. This work details a new algorithm that solves the recommendation problem; for example, how does Amazon or Netflix predict which books or movies a specific consumer will personally enjoy? \\\\nA linear algebraic approach of the problem is the following: given m users, and n products, alongside incomplete data about which products the users prefer (organised in a binary tree data structure) where there are not too many ways the users can vary their preferences (called low-rank matrices), what are the products that a given user may want to buy? A common linear algebraic classical strategy to solve this problem is to reconstruct an approximation of the full preference matrix and use it to predict the next preferred product. Such a strategy uses at least a time polynomial in the matrix dimension.\\\\nIn 2016, Iordanis Kerenidis and Anupam Prakash, found an exponentially faster quantum algorithm; this algorithm uses the HHL algorithm to sample the product directly from an approximation of the preference matrix without reconstructing the matrix itself, thus avoiding the polynomial limit mentioned above. Tang\\\\'s classical algorithm, inspired by the fast quantum algorithm of Kerenidis and Prakash, is able to perform the same calculations but on a normal computer without the need for quantum machine learning. Both approaches run in polylogarithmic time which means the total computation time scales with the logarithm of the problem variables such as the total number of products and users, except Tang utilises a classical replication of the quantum sampling techniques. Prior to Tang\\\\'s results, it was widely assumed that no fast classical algorithm existed; Kerenidis and Prakash did not attempt to study the classical solution, and the task assigned to Tang by Aaronson was to prove its nonexistence. As he said, \\\"that seemed to me like an important \\\\'t\\\\' to cross to complete this story\\\". Before Tang\\\\'s research was made public, she and Aaronson attended a quantum computing workshop at the University of California where Tang presented in front of an audience that included Kerenidis and Prakash on June 18 and 19 2018. After four hours of questioning, the consensus was that Tang\\\\'s classical algorithm seemed correct. The recommendation problem was one of a handful of projects offered by Aaronson, which was chosen reluctantly by Tang: \\\"I was hesitant because it seemed like a hard problem when I looked at it, but it was the easiest of the problems he gave me\\\".\\\\nIn 2018 Tang was named as a University of Texas at Austin Dean\\\\'s Honored Graduate in computer science, having maintained a 4.0 grade-point average.\\\\nIn the same year, Tang began her Ph.D. in theoretical computer science at the University of Washington under the supervision of James Lee. She pursued her research and generalized the above result, dequantizing other quantum machine learning HHL-based problems: principal component analysis[pub 6] and low-rank stochastic regression.[pub 7]\\\\nThere was wide media coverage in response to Tang\\\\'s work on using classical computing rather than quantum computing to tackle the recommendation problem, due to the perception that it eliminates one of the best examples of quantum speedup. Some researchers came to the defence of quantum computing, such as Robert Young (Director of the University of Lancaster\\\\'s Quantum Technology Centre), who said in a BBC news article, \\\"If we hadn\\\\'t invested in quantum computing, the quantum algorithm that inspired [Ms] Tang wouldn\\\\'t have existed\\\". Tang herself notes the divisive nature of comparing classical to quantum algorithms, and the trepidation of proving her algorithm to her adviser, \\\"I started believing there is a fast classical algorithm, but I couldn’t really prove it to myself because Scott [Aaronson] seemed to think there wasn’t one, and he was the authority\\\".\\\\nAt the age of 18, Tang was named as one of Forbes 30 Under 30 for 2019 due to her work in developing computing methods that allow classical computers to handle tasks previously deemed only possible with a quantum computer.'}\",\n \"verbalizer_on_all_triples\": \"Ewin Tang has a written paper amount of 1 in 2017.\\nEwin Tang's written paper amount in year 2018 is 3,.\\nEwin Tang has a written paper amount of 2 in year 2019.\\nEwin Tang has a written paper amount of 3 in 2020.\\nEwin Tang wrote 2 papers in 2021.\\nEwin Tang's written paper amount in year 2022 is 6.\\nEwin Tang's written paper amount in year2023 is 5.\\nEwin Tang has a 2YrMeanCitedness of 8.0.\\nEwin Tang is affiliated with the University of Washington, WA, USA.\\nTang Ewin, also known as Tang Ewin, is also known as Ewin Tang.\\nAinesh Bakshi and Ewin Tang: An Improved Classical Singular Value Transformation for Quantum Machine Learning. (2023), Matt Ziegler et al.: Demo: Visualizing USSD and IVR Usage Data with Icicle Charts. (2022), Jeongwan Haah et al.: Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (2021), Nai-Hui Chia et al.: Sampling-based sub\\nEwin Tang is cited by count of 344.\\nEwin Tang has an h-index of 7.\\nEwin Tang has 6 i10Index.\\nEwin Tang is the creator and the author of Ewin Tang.\\nEwin Tang can be found at https://ewintang.com/, https://en.wikipedia.org/wiki/Ewin_Tang, https://www.quantamagazine.org/teenager-finds-classical-alternative-to-quantum-recommendation-algorithm-20180731/, http://www.wikidata.org/entity/Q61594737, https://scholar.google.com/citations?user=ytm\\nEwin Tang is a member of the University of Washington.\\nEwin Tang was modified on 2023-10-18.\\nThe name of Ewin Tang is Ewin Tang.\\nEwin Tang can be found at https://orcid.org/0000-0002-7451-9687.\\nEwin Tang's primary affiliation is the University of Washington, WA, USA.\\nEwin Tang has 23 works.{'author_wikipedia_text': 'Ewin Tang (born 2000) is a computer scientist at the University of Washington. She was named as one of 2019 Science Forbes 30 Under 30 for her work developing algorithms for classical computers to perform calculations that were previously deemed only possible with quantum computers. That research began under the supervision of Scott Aaronson when Tang was only a teenager.\\\\nTang skipped the fourth, fifth, and sixth grades in order to enroll at the University of Texas at Austin at the age of 14. Tang\\\\'s first experience of research involved working on in vivo imaging for biomedical research such as optical probes to view polarised macrophages during foreign body reactions,[pub 1] bacterial infection,[pub 2] fibrin deposition,[pub 3] and real-time detection of neutrophil responses.[pub 4] In 2014 Tang was awarded an Davidson Fellow Honorable Mention for her work on an optical imaging probe for real-time detection of infection. In 2017 she took a class on quantum information taught by Scott Aaronson, who would soon become her dissertation adviser. Aaronson recognised Tang as an \\\"unusually talented student\\\" and presented her with a range of research projects to choose from; among them was the recommendation problem.\\\\nBefore Tang\\\\'s work, the best known classical algorithms solving some linear algebra problems were exponentially slower, under some assumptions, than the best quantum algorithm for the same \\\\nproblem. Inspired by the quantum solution, based on the HHL algorithm, she found[pub 5][pub 6][pub 7] classical algorithms solving these problem in a similar time as the quantum algorithms, under similar assumptions, thus \\\"dequantizing\\\" them and exponentially improving over the best known classical algorithms.\\\\nHer first work in quantum computing was her 2018 thesis dissertation titled A quantum-inspired classical algorithm for recommendation systems,[pub 5] supervised by Scott Aaronson, allowing her to complete two undergraduate degrees in computer science and in pure mathematics from the UT Austin. This work details a new algorithm that solves the recommendation problem; for example, how does Amazon or Netflix predict which books or movies a specific consumer will personally enjoy? \\\\nA linear algebraic approach of the problem is the following: given m users, and n products, alongside incomplete data about which products the users prefer (organised in a binary tree data structure) where there are not too many ways the users can vary their preferences (called low-rank matrices), what are the products that a given user may want to buy? A common linear algebraic classical strategy to solve this problem is to reconstruct an approximation of the full preference matrix and use it to predict the next preferred product. Such a strategy uses at least a time polynomial in the matrix dimension.\\\\nIn 2016, Iordanis Kerenidis and Anupam Prakash, found an exponentially faster quantum algorithm; this algorithm uses the HHL algorithm to sample the product directly from an approximation of the preference matrix without reconstructing the matrix itself, thus avoiding the polynomial limit mentioned above. Tang\\\\'s classical algorithm, inspired by the fast quantum algorithm of Kerenidis and Prakash, is able to perform the same calculations but on a normal computer without the need for quantum machine learning. Both approaches run in polylogarithmic time which means the total computation time scales with the logarithm of the problem variables such as the total number of products and users, except Tang utilises a classical replication of the quantum sampling techniques. Prior to Tang\\\\'s results, it was widely assumed that no fast classical algorithm existed; Kerenidis and Prakash did not attempt to study the classical solution, and the task assigned to Tang by Aaronson was to prove its nonexistence. As he said, \\\"that seemed to me like an important \\\\'t\\\\' to cross to complete this story\\\". Before Tang\\\\'s research was made public, she and Aaronson attended a quantum computing workshop at the University of California where Tang presented in front of an audience that included Kerenidis and Prakash on June 18 and 19 2018. After four hours of questioning, the consensus was that Tang\\\\'s classical algorithm seemed correct. The recommendation problem was one of a handful of projects offered by Aaronson, which was chosen reluctantly by Tang: \\\"I was hesitant because it seemed like a hard problem when I looked at it, but it was the easiest of the problems he gave me\\\".\\\\nIn 2018 Tang was named as a University of Texas at Austin Dean\\\\'s Honored Graduate in computer science, having maintained a 4.0 grade-point average.\\\\nIn the same year, Tang began her Ph.D. in theoretical computer science at the University of Washington under the supervision of James Lee. She pursued her research and generalized the above result, dequantizing other quantum machine learning HHL-based problems: principal component analysis[pub 6] and low-rank stochastic regression.[pub 7]\\\\nThere was wide media coverage in response to Tang\\\\'s work on using classical computing rather than quantum computing to tackle the recommendation problem, due to the perception that it eliminates one of the best examples of quantum speedup. Some researchers came to the defence of quantum computing, such as Robert Young (Director of the University of Lancaster\\\\'s Quantum Technology Centre), who said in a BBC news article, \\\"If we hadn\\\\'t invested in quantum computing, the quantum algorithm that inspired [Ms] Tang wouldn\\\\'t have existed\\\". Tang herself notes the divisive nature of comparing classical to quantum algorithms, and the trepidation of proving her algorithm to her adviser, \\\"I started believing there is a fast classical algorithm, but I couldn’t really prove it to myself because Scott [Aaronson] seemed to think there wasn’t one, and he was the authority\\\".\\\\nAt the age of 18, Tang was named as one of Forbes 30 Under 30 for 2019 due to her work in developing computing methods that allow classical computers to handle tasks previously deemed only possible with a quantum computer.'}\",\n \"verbalizer_plus_evidence_matching\": \"Ewin Tang is the author of András Gilyén et al.: An improved quantum-inspired algorithm for linear regression. (2019) and Ewin Tang: A quantum-inspired classical algorithm for recommendation systems.\\nEwin Tang can be found at https://www.quantamagazine.org/teenager-finds-classical-alternative-to-quantum-recommendation-algorithm-20180731/.\\\\nHer first work in quantum computing was her 2018 thesis dissertation titled A quantum-inspired classical algorithm for recommendation systems,[pub 5] supervised by Scott Aaronson, allowing her to complete two undergraduate degrees in computer science and in pure mathematics from the UT Austin. \\\\nIn 2016, Iordanis Kerenidis and Anupam Prakash, found an exponentially faster quantum algorithm; this algorithm uses the HHL algorithm to sample the product directly from an approximation of the preference matrix without reconstructing the matrix itself, thus avoiding the polynomial limit mentioned above. [pub 7]\\\\nThere was wide media coverage in response to Tang\\\\'s work on using classical computing rather than quantum computing to tackle the recommendation problem, due to the perception that it eliminates one of the best examples of quantum speedup. Inspired by the quantum solution, based on the HHL algorithm, she found[pub 5][pub 6][pub 7] classical algorithms solving these problem in a similar time as the quantum algorithms, under similar assumptions, thus \\\"dequantizing\\\" them and exponentially improving over the best known classical algorithms. Tang\\\\'s classical algorithm, inspired by the fast quantum algorithm of Kerenidis and Prakash, is able to perform the same calculations but on a normal computer without the need for quantum machine learning. She pursued her research and generalized the above result, dequantizing other quantum machine learning HHL-based problems: principal component analysis[pub 6] and low-rank stochastic regression\"\n}"}}},{"rowIdx":88,"cells":{"id":{"kind":"string","value":"b4972a4e-7dd8-4cac-b5bd-29bad133cd8c"},"triples_number":{"kind":"number","value":372,"string":"372"},"question":{"kind":"string","value":"How many scientific articles are attributed to the education institution of the author of 'Fast Parallel Algorithms for the Unit Cost Editing Distance Between Trees'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"29\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"14\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"41\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"41\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"0.78333336114883422852\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"New York University, Courant Institute of Mathematical Sciences\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Dennis E. Shasha\"\n },\n {\n \"object\": \"D. E. Shasha\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"D. Shasha\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"Dennis Elliott Shasha\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"Dennis Shasha\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Dennis Shasha\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philippe Bonnet and Dennis E. Shasha: Administration Wizards. (2009)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Philippe Bonnet and Dennis E. Shasha: Index Tuning. (2009)\"\n },\n {\n \"object\": \"Dennis E. 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Shasha: Storing Clocked Programs Inside DNA: A Simplifying Framework for Nanocomputing (2011)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Manpreet Singh Katari et al.: Statistics is Easy: Case Studies on Real Scientific Datasets (2021)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Siddharth Krishna et al.: Automated Verification of Concurrent Search Structures (2021)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fábio Porto et al.: Constellation Queries over Big Data. (2018)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dennis E. Shasha: Database Tuning: Principles, Experiments, and Guidance. (2003)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dennis E. Shasha: Activist Data Mining for Computational Science: Tools and Applications. (2003)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dennis E. Shasha: Reducing Errors by Refusing to Guess (Occasionally). (2018)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fernando Chirigati et al.: ReproZip: Computational Reproducibility With Ease. (2016)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Juliana Freire et al.: Computational reproducibility: state-of-the-art, challenges, and database research opportunities. (2012)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alberto Lerner et al.: Fast Algorithms for Time Series with applications to Finance, Physics, Music, Biology, and other Suspects. (2004)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Bin Li and Dennis E. Shasha: Free Parallel Data Mining. (1998)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Raoni Lourenço et al.: BugDoc: Algorithms to Debug Computational Processes. (2020)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Raoni Lourenço et al.: BugDoc: A System for Debugging Computational Pipelines. (2020)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Peter Piatko et al.: Thinksheet: A Tool for Tailoring Complex Documents. (1996)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Arthur T. Whitney and Dennis E. Shasha: Lots o' Ticks: Real-Time High Performance Time Series Queries on Billions of Trades and Quotes. (2001)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yunyue Zhu and Dennis E. Shasha: Warping Indexes with Envelope Transforms for Query by Humming. (2003)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Swapneel Sheth et al.: A Course on Programming and Problem Solving. (2016)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ashlesh Sharma et al.: Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles. (2016)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Aditya Dhananjay et al.: Fully-digital beamforming demonstration with Pi-Radio mmWave SDR platform. (2020)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Xiaojian Zhao et al.: Incremental Methods for Simple Problems in Time Series: Algorithms and Experiments. (2005)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Helena Galhardas et al.: An Extensible Framework for Data Cleaning. (2000)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dennis E. Shasha et al.: Unordered Tree Mining with Applications to Phylogeny. (2004)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gilad Koren and Dennis E. Shasha: Scheduling Overloaded Real-Time Systems with Competitive/Worst Case Guarantees. (2004)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Nicolas Anciaux et al.: GhostDB: querying visible and hidden data without leaks. (2007)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fernando Seabra Chirigati et al.: Packing experiments for sharing and publication. (2013)\"\n },\n {\n \"object\": \"Dennis E. 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Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alberto Lerner and Dennis E. Shasha: The Virtues and Challenges of Ad Hoc + Streams Querying in Finance. (2003)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Dennis E. Shasha: What Good are Concurrent Search Structure Algorithms for databases Anyway? (1985)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Diego Reforgiato Recupero et al.: Graphclust: a Method for Clustering Database of Graphs. (2008)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Susan H. Gray et al.: Information Search with Dynamic Text vs Paper Text: An Empirical Comparison. (1991)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Giovanni Micale et al.: Fast methods for finding significant motifs on labelled multi-relational networks. 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Shasha: B-Trees with Inserts and Deletes: Why Free-at-Empty Is Better Than Merge-at-Half. (1993)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Oleksandra Levchenko et al.: BestNeighbor: efficient evaluation of kNN queries on large time series databases. (2021)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Xiong Wang et al.: An Index Structure for Data Mining and Clustering. (2000)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Titouan Lorieul et al.: Classification Under Ambiguity: When Is Average-K Better Than Top-K? (2021)\"\n },\n {\n \"object\": \"Dennis E. Shasha\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fábio Porto et al.: Constellation Queries over Big Data. (2017)\"\n },\n {\n \"object\": \"Dennis E. 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Shasha and Kaizhong Zhang: Fast Parallel Algorithms for the Unit Cost Editing Distance Between Trees. (1989) authored by Dennis E. Shasha. Dennis E. Shasha and Kaizhong Zhang: Fast Algorithms for the Unit Cost Editing Distance Between Trees. (1990) authored by Dennis E. Shasha. Kaizhong Zhang and Dennis E. Shasha: Simple Fast Algorithms for the Editing Distance Between Trees and Related Problems. (1989) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance Between Unordered Labeled Trees. (1992) authored by Dennis E. Shasha. Dennis E. Shasha et al.: ATreeGrep: Approximate Searching in Unordered Trees. (2002) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: The Performance of Current B-Tree Algorithms. (1993) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance Between Undirected Acyclic Graphs. (1996) authored by Dennis E. Shasha. Dennis E. Shasha and Nathan Goodman: Concurrent Search Structure Algorithms. (1988) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: A Framework for the Performance Analysis of Concurrent B-tree Algorithms. (1990) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance between Undirected Acyclic Graphs and Related Problems. (1995) authored by Dennis E. Shasha. Kaizhong Zhang et al.: Fast Serial and Parallel Algorithms for Approximate Tree Matching with VLDC's. (1992) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Algorithmics and Applications of Tree and Graph Searching. (2002) authored by Dennis E. Shasha. Dennis E. Shasha: What Good are Concurrent Search Structure Algorithms for databases Anyway? (1985) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: A System for Approximate Tree Matching. (1994) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees. (1998) authored by Dennis E. Shasha. Alfredo Ferro et al.: Behind Efficient Algorithms to Search in Graphs. (2011) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Utilization of B-trees with Inserts, Deletes and Modifies. (1989) authored by Dennis E. Shasha. Vladimir Lanin and Dennis E. Shasha: A Symmetric Concurrent B-Tree Algorithm. (1986) authored by Dennis E. Shasha. Alberto Lerner et al.: Fast Algorithms for Time Series with applications to Finance, Physics, Music, Biology, and other Suspects. (2004) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Pattern Matching in Unordered Trees. (1992) authored by Dennis E. Shasha. Kaizhong Zhang and Dennis E. Shasha: Tree pattern matching. (1997) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Exact and approximate algorithms for unordered tree matching. (1994) authored by Dennis E. Shasha. Bin Li and Dennis E. Shasha: Free Parallel Data Mining. (1998) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: A tool for tree pattern matching. (1991) authored by Dennis E. Shasha. Dennis E. Shasha and Paul G. Spirakis: Fast Parallel Algorithms for Processing of Joins. (1987) authored by Dennis E. Shasha. Dennis E. Shasha: Computing for biologists: lessons from some successful case studies. (2005) authored by Dennis E. Shasha. Kaizhong Zhang et al.: Approximate Tree Matching in the Presence of Variable Length Don't Cares. (1994) authored by Dennis E. Shasha. João Pereira et al.: Publish/Subscribe on the Web at Extreme Speed. (2000) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Some Approaches to Index Design for Cube Forest. (1997) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: B-Trees with Inserts and Deletes: Why Free-at-Empty Is Better Than Merge-at-Half. (1993) authored by Dennis E. Shasha. Dennis E. Shasha: Biocomputational puzzles: data, algorithms, and visualization. (2008) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Unordered Tree Mining with Applications to Phylogeny. (2004) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Database Benchmarks. (2018) authored by Dennis E. Shasha. Patrick Valduriez et al.: Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. (2018) authored by Dennis E. Shasha. Eric Hielscher et al.: Locality Optimization for Data Parallel Programs (2013) authored by Dennis E. Shasha. Dennis E. Shasha and Marc Snir: Efficient and Correct Execution of Parallel Programs that Share Memory. (1988) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Some Approaches to Index Design for Cude Forests. (1999) authored by Dennis E. Shasha{'author_wikipedia_text': \\\"Dennis Elliot Shasha is an American professor of computer science at the Courant Institute of Mathematical Sciences, a division of New York University. Other areas of interest include database tuning as well as tree and graph matching. in applied mathematics at Harvard in 1984 (thesis advisor: Nat Goodman). He has written six books of puzzles, five of which center on the work of a mathematical detective by the name of Jacob Ecco, a biography about great computer scientists (coauthored by freelance journalist Cathy Lazere), and technical books relating to his various areas of research\",\n \"plain\": \"Dennis Shasha is Author. Dennis Shasha modified 2023-10-18. Dennis Shasha citedByCount 15428. Dennis Shasha written paper amount in year2012: 15. Dennis Shasha written paper amount in year2012: 15. Dennis Shasha written paper amount in year2013: 13. Dennis Shasha written paper amount in year2013: 13. Dennis Shasha written paper amount in year2014: 9. Dennis Shasha written paper amount in year2014: 9. Dennis Shasha written paper amount in year2015: 11. Dennis Shasha written paper amount in year2015: 11. Dennis Shasha written paper amount in year2016: 24. Dennis Shasha written paper amount in year2016: 24. Dennis Shasha written paper amount in year2017: 17. Dennis Shasha written paper amount in year2017: 17. Dennis Shasha written paper amount in year2018: 29. Dennis Shasha written paper amount in year2018: 29. Dennis Shasha written paper amount in year2019: 14. Dennis Shasha written paper amount in year2019: 14. Dennis Shasha written paper amount in year2020: 19. Dennis Shasha written paper amount in year2020: 19. Dennis Shasha written paper amount in year2021: 41. Dennis Shasha written paper amount in year2021: 41. Dennis Shasha written paper amount in year2022: 9. Dennis Shasha written paper amount in year2022: 9. Dennis Shasha written paper amount in year2023: 12. Dennis Shasha written paper amount in year2023: 12. Dennis Shasha worksCount 625. Dennis Shasha name Dennis Shasha. Dennis Shasha member of New York University. Dennis Shasha h-index 60. Dennis Shasha 2YrMeanCitedness 0.78333336114883422852. Dennis Shasha alternativeName D. E. Shasha. Dennis Shasha alternativeName D. Shasha. Dennis Shasha alternativeName Dennis E. Shasha. Dennis Shasha alternativeName Dennis Elliott Shasha. Dennis Shasha alternativeName Dennis Shasha. Dennis Shasha i10Index 173. Dennis Shasha orcidId https://orcid.org/0000-0002-7036-3312. Dennis E. Shasha is Creator. Dennis E. Shasha is Person. Dennis E. Shasha link http://www.wikidata.org/entity/Q56892414. Dennis E. Shasha link http://www.wikidata.org/entity/Q5258945. Dennis E. Shasha affiliation New York University, Courant Institute of Mathematical Sciences. Dennis E. Shasha link http://www.cs.nyu.edu/cs/faculty/shasha/index.html. Dennis E. Shasha primary affiliation New York University, Courant Institute of Mathematical Sciences. Dennis E. Shasha link http://www.cs.nyu.edu/cs/faculty/shasha/index.html. Dennis E. Shasha link https://scholar.google.com/citations?user=UH3qseUAAAAJ. Dennis E. Shasha link https://mathgenealogy.org/id.php?id=69408. Dennis E. Shasha link https://dl.acm.org/profile/81100290016. Dennis E. Shasha link https://zbmath.org/authors/?q=ai:shasha.dennis-e. Dennis E. Shasha link https://mathscinet.ams.org/mathscinet/MRAuthorID/271027. Dennis E. Shasha link https://en.wikipedia.org/wiki/Dennis_Shasha. Philippe Bonnet and Dennis E. Shasha: Administration Wizards. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Index Tuning. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Performance Monitoring Tools. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Schema Tuning. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Application-Level Tuning. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Benchmark Frameworks. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Index Tuning. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Physical Layer Tuning. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Schema Tuning. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Transaction Chopping. (2009) authored by Dennis E. Shasha. Dennis E. Shasha: Transaction Chopping. (2018) authored by Dennis E. Shasha. Dennis E. Shasha and Manda Wilson: Statistics is Easy! (2008) authored by Dennis E. Shasha. Dennis E. Shasha and Manda Wilson: Statistics is Easy! Second Edition (2010) authored by Dennis E. Shasha. Jessica P. Chang and Dennis E. Shasha: Storing Clocked Programs Inside DNA: A Simplifying Framework for Nanocomputing (2011) authored by Dennis E. Shasha. Manpreet Singh Katari et al.: Statistics is Easy: Case Studies on Real Scientific Datasets (2021) authored by Dennis E. Shasha. Siddharth Krishna et al.: Automated Verification of Concurrent Search Structures (2021) authored by Dennis E. Shasha. Fábio Porto et al.: Constellation Queries over Big Data. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Database Tuning: Principles, Experiments, and Guidance. (2003) authored by Dennis E. Shasha. Dennis E. Shasha: Activist Data Mining for Computational Science: Tools and Applications. (2003) authored by Dennis E. Shasha. Dennis E. Shasha: Reducing Errors by Refusing to Guess (Occasionally). (2018) authored by Dennis E. Shasha. Fernando Chirigati et al.: ReproZip: Computational Reproducibility With Ease. (2016) authored by Dennis E. Shasha. Juliana Freire et al.: Computational reproducibility: state-of-the-art, challenges, and database research opportunities. (2012) authored by Dennis E. Shasha. Alberto Lerner et al.: Fast Algorithms for Time Series with applications to Finance, Physics, Music, Biology, and other Suspects. (2004) authored by Dennis E. Shasha. Bin Li and Dennis E. Shasha: Free Parallel Data Mining. (1998) authored by Dennis E. Shasha. Raoni Lourenço et al.: BugDoc: Algorithms to Debug Computational Processes. (2020) authored by Dennis E. Shasha. Raoni Lourenço et al.: BugDoc: A System for Debugging Computational Pipelines. (2020) authored by Dennis E. Shasha. Peter Piatko et al.: Thinksheet: A Tool for Tailoring Complex Documents. (1996) authored by Dennis E. Shasha. Arthur T. Whitney and Dennis E. Shasha: Lots o' Ticks: Real-Time High Performance Time Series Queries on Billions of Trades and Quotes. (2001) authored by Dennis E. Shasha. Yunyue Zhu and Dennis E. Shasha: Warping Indexes with Envelope Transforms for Query by Humming. (2003) authored by Dennis E. Shasha. Swapneel Sheth et al.: A Course on Programming and Problem Solving. (2016) authored by Dennis E. Shasha. Ashlesh Sharma et al.: Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles. (2016) authored by Dennis E. Shasha. Aditya Dhananjay et al.: Fully-digital beamforming demonstration with Pi-Radio mmWave SDR platform. (2020) authored by Dennis E. Shasha. Xiaojian Zhao et al.: Incremental Methods for Simple Problems in Time Series: Algorithms and Experiments. (2005) authored by Dennis E. Shasha. Helena Galhardas et al.: An Extensible Framework for Data Cleaning. (2000) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Unordered Tree Mining with Applications to Phylogeny. (2004) authored by Dennis E. Shasha. Gilad Koren and Dennis E. Shasha: Scheduling Overloaded Real-Time Systems with Competitive/Worst Case Guarantees. (2004) authored by Dennis E. Shasha. Nicolas Anciaux et al.: GhostDB: querying visible and hidden data without leaks. (2007) authored by Dennis E. Shasha. Fernando Seabra Chirigati et al.: Packing experiments for sharing and publication. (2013) authored by Dennis E. Shasha. Françoise Fabret et al.: Filtering Algorithms and Implementation for Very Fast Publish/Subscribe. (2001) authored by Dennis E. Shasha. Helena Galhardas et al.: AJAX: An Extensible Data Cleaning Tool (2000) authored by Dennis E. Shasha. Jim Gray et al.: The Dangers of Replication and a Solution. (1996) authored by Dennis E. Shasha. Raoni Lourenço et al.: Debugging Machine Learning Pipelines. (2019) authored by Dennis E. Shasha. Arthur Meacham and Dennis E. Shasha: JustMyFriends: full SQL, full transactional amenities, and access privacy. (2012) authored by Dennis E. Shasha. Dennis E. Shasha: Computing for biologists: lessons from some successful case studies. (2005) authored by Dennis E. Shasha. Dennis E. Shasha and Philippe Bonnet: Database tuning: principles, experiments, and troubleshooting techniques (part II). (2002) authored by Dennis E. Shasha. Dennis E. Shasha and Philippe Bonnet: Database tuning: principles, experiments, and troubleshooting techniques (part I). (2002) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Structural Matching and Discovery in Document Databases. (1997) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: An Approximate Search Engine for Structural Databases. (2000) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Pattern Matching and Pattern Discovery in Scientific, Program, and Document Databases. (1995) authored by Dennis E. Shasha. Yunyue Zhu et al.: Query by Humming - in Action with its Technology Revealed. (2003) authored by Dennis E. Shasha. Dennis E. Shasha: When Does Non-Linear Text Help? (1986) authored by Dennis E. Shasha. David Tanzer and Dennis E. Shasha: Queryable Acyclic Production Systems. (1999) authored by Dennis E. Shasha. Karpjoo Jeong et al.: An Approach to Fault-Tolerant Parallel Processing on Intermittently Idle, Heterogeneous Workstations. (1997) authored by Dennis E. Shasha. Yasuhiro Fujiwara and Dennis E. Shasha: Quiet: Faster Belief Propagation for Images and Related Applications. (2015) authored by Dennis E. Shasha. Anh L. Mai et al.: Planning Multiple Epidemic Interventions with Reinforcement Learning. (2023) authored by Dennis E. Shasha. João L. M. Pereira et al.: Acronym Expander at SDU@AAAI-21: an Acronym Disambiguation Module. (2021) authored by Dennis E. Shasha. João Pereira et al.: Efficient Matching for Web-Based Publish/Subscribe Systems. (2000) authored by Dennis E. Shasha. Fernando Seabra Chirigati et al.: ReproZip: Using Provenance to Support Computational Reproducibility. (2013) authored by Dennis E. Shasha. Xuefeng Cui et al.: Homology search for genes. (2007) authored by Dennis E. Shasha. Dennis E. Shasha and Kaizhong Zhang: Fast Parallel Algorithms for the Unit Cost Editing Distance Between Trees. (1989) authored by Dennis E. Shasha. Amir Khatibi et al.: Pre-processing and Indexing Techniques for Constellation Queries in Big Data. (2017) authored by Dennis E. Shasha. Noah Youngs et al.: Positive-Unlabeled Learning in the Face of Labeling Bias. (2015) authored by Dennis E. Shasha. Maximilien Servajean et al.: ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing. (2016) authored by Dennis E. Shasha. Cinzia Di Pietro et al.: ANTICLUSTAL: Multiple Sequence Alignment by Antipole Clustering and Linear Approximate 1-Median Computation. (2003) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Application-Level Tuning. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Physical Layer Tuning. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Tuning Concurrency Control. (2009) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Administration Wizards. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Data Generation. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Database Benchmarks. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Performance Monitoring Tools. (2018) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Tuning Concurrency Control. (2018) authored by Dennis E. Shasha. Dennis E. Shasha and Yunyue Zhu: High Performance Discovery in Time Series - Techniques and Case Studies (2004) authored by Dennis E. Shasha. Jesse M. Lingeman and Dennis E. Shasha: Network Inference in Molecular Biology - A Hands-on Framework (2012) authored by Dennis E. Shasha. Mustafa Anil Koçak et al.: Conjugate Conformal Prediction for Online Binary Classification. (2016) authored by Dennis E. Shasha. Siddharth Krishna et al.: Verifying concurrent search structure templates. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Lessons from Wall Street: Case Studies in Configuration, Tuning, and Distribution (Tutorial). (1997) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Simple Rational Guidance for Chopping Up Transactions. (1992) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results. (1994) authored by Dennis E. Shasha. David Mazières and Dennis E. Shasha: Don't Trust your File Server. (2001) authored by Dennis E. Shasha. Amir Khatibi et al.: Improving Tourism Prediction Models Using Climate and Social Media Data: A Fine-Grained Approach. (2018) authored by Dennis E. Shasha. Vincenzo Bonnici et al.: Enhancing Graph Database Indexing by Suffix Tree Structure. (2010) authored by Dennis E. Shasha. Aditya Dhananjay et al.: Calibrating a 4-channel Fully-Digital 60 GHz SDR. (2020) authored by Dennis E. Shasha. Rakesh Agrawal et al.: Object Versioning in Ode. (1991) authored by Dennis E. Shasha. Xin Zhang and Dennis E. Shasha: Better Burst Detection. (2006) authored by Dennis E. Shasha. Yanling Yang et al.: An Approximate Oracle for Distance in Metric Spaces. (1998) authored by Dennis E. Shasha. Kaizhong Zhang et al.: Fast Serial and Parallel Algorithms for Approximate Tree Matching with VLDC's. (1992) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance between Undirected Acyclic Graphs and Related Problems. (1995) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Temporal Verification of Carrier-Sense Local Area Network Protocols. (1984) authored by Dennis E. Shasha. Catriel Beeri et al.: Database Programming Languages (DBPL-4), Proceedings of the Fourth International Workshop on Database Programming Languages - Object Models and Languages, Manhattan, New York City, USA, 30 August - 1 September 1993 (1994) edited by Dennis E. Shasha. Steve Rozen and Dennis E. Shasha: Rationale and Design of BULK. (1991) authored by Dennis E. Shasha. Rosalba Giugno and Dennis E. Shasha: GraphGrep: A Fast and Universal Method for Querying Graphs. (2002) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: A tool for tree pattern matching. (1991) authored by Dennis E. Shasha. Mai Le Xuan Anh et al.: EpiPolicy: a tool for combating epidemics. (2021) authored by Dennis E. Shasha. Dennis E. Shasha: Future of computing: inspiration from nature. (2012) authored by Dennis E. Shasha. Vincenzo Bonnici et al.: A subgraph isomorphism algorithm and its application to biochemical data. (2013) authored by Dennis E. Shasha. Danilo Dessì et al.: SuperNoder: a tool to discover over-represented modular structures in networks. (2018) authored by Dennis E. Shasha. Raoni Lourenço et al.: BugDoc. (2023) authored by Dennis E. Shasha. Raoni Lourenço et al.: Correction to: BugDoc Iterative debugging and explanation of pipeline executions. (2023) authored by Dennis E. Shasha. Dennis E. Shasha and Paul G. Spirakis: Fast Parallel Algorithms for Processing of Joins. (1987) authored by Dennis E. Shasha. Karpjoo Jeong and Dennis E. Shasha: PLinda 2.0: A Transactional/Checkpointing Approach to Fault Tolerant Linda. (1994) authored by Dennis E. Shasha. Djamel Edine Yagoubi et al.: RadiusSketch: Massively Distributed Indexing of Time Series. (2017) authored by Dennis E. Shasha. Helena Galhardas et al.: Improving Data Cleaning Quality Using a Data Lineage Facility. (2001) authored by Dennis E. Shasha. Brian G. Anderson and Dennis E. Shasha: Persistant Linda: Linda + Transactions + Query Processing. (1991) authored by Dennis E. Shasha. Oleksandra Levchenko et al.: Distributed Algorithms to Find Similar Time Series. (2019) authored by Dennis E. Shasha. Antonino Aparo et al.: Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks. (2018) authored by Dennis E. Shasha. Nicolas Anciaux et al.: Querying and Aggregating Visible and Hidden Data Without Leaks. (2007) authored by Dennis E. Shasha. Helena Galhardas et al.: Declaratively Cleaning your Data with AJAX. (2000) authored by Dennis E. Shasha. Dennis E. Shasha and John Turek: Promises versus assumptions in database fault tolerance. (1991) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Application of neural networks to biological data mining: a case study in protein sequence classification. (2000) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering. (1999) authored by Dennis E. Shasha. Xiong Wang et al.: Automated Discovery of Active Motifs in Three Dimensional Molecules. (1997) authored by Dennis E. Shasha. Eliezer Kantorowitz et al.: Distributed Office By Example (D-OBE). (1986) authored by Dennis E. Shasha. Marc Donner et al.: Algorithms and Experience in Increasing the Intelligibility and Hygiene of Access Control in Large Organizations. (2000) authored by Dennis E. Shasha. Oleksandra Levchenko et al.: Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. (2018) authored by Dennis E. Shasha. Yunyue Zhu and Dennis E. Shasha: Efficient elastic burst detection in data streams. (2003) authored by Dennis E. Shasha. Helena Galhardas et al.: Declarative Data Cleaning: Language, Model, and Algorithms. (2001) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: 2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm. (1994) authored by Dennis E. Shasha. Alberto Lerner and Dennis E. Shasha: AQuery: Query Language for Ordered Data, Optimization Techniques, and Experiments. (2003) authored by Dennis E. Shasha. João Pereira et al.: WebFilter: A High-throughput XML-based Publish and Subscribe System. (2001) authored by Dennis E. Shasha. João Pereira et al.: Publish/Subscribe on the Web at Extreme Speed. (2000) authored by Dennis E. Shasha. Dennis E. Shasha: NetBook - a Data Model to Support Knowledge Exploration. (1985) authored by Dennis E. Shasha. Dennis E. Shasha and Philippe Bonnet: Database Tuning: Principles, Experiments, and Troubleshooting Techniques. (2002) authored by Dennis E. Shasha. Dennis E. Shasha and Steve Rozen: Database Tuning. (1992) authored by Dennis E. Shasha. Patrick Valduriez et al.: Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. (2018) authored by Dennis E. Shasha. Peter Williams et al.: The Blind Stone Tablet: Outsourcing Durability to Untrusted Parties. (2009) authored by Dennis E. Shasha. Alex Rubinsteyn et al.: Parakeet: A Just-In-Time Parallel Accelerator for Python. (2012) authored by Dennis E. Shasha. Qicheng Ma et al.: DNA sequence classification via an expectation maximization algorithm and neural networks: a case study. (2001) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Exact and approximate algorithms for unordered tree matching. (1994) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Pattern Matching in Unordered Trees. (1992) authored by Dennis E. Shasha. Richard Cole et al.: Fast window correlations over uncooperative time series. (2005) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Automated Discovery of Active Motifs in Multiple RNA Secondary Structures. (1996) authored by Dennis E. Shasha. Aditya Dhananjay et al.: Pi-Radio v1: Calibration techniques to enable fully-digital beamforming at 60 GHz. (2021) authored by Dennis E. Shasha. Gilad Koren and Dennis E. Shasha: MOCA: A Multiprocessor On-Line Competitive Algorithm for Real-Time System Scheduling. (1994) authored by Dennis E. Shasha. Domenico Cantone et al.: Antipole Tree Indexing to Support Range Search and K-Nearest Neighbor Search in Metric Spaces. (2005) authored by Dennis E. Shasha. Philippe Bonnet et al.: Repeatability and workability evaluation of SIGMOD 2011. (2011) authored by Dennis E. Shasha. Stefan Manegold et al.: Repeatability & workability evaluation of SIGMOD 2009. (2009) authored by Dennis E. Shasha. Steve Rozen and Dennis E. Shasha: Using a Relational System On Wall Street: The Good, The Bad, The Ugly, And The Ideal. (1989) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Strategic Friendship. (2015) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Chair Games. (2016) authored by Dennis E. Shasha. Dennis E. Shasha: Find me quickly. (2016) authored by Dennis E. Shasha. Dennis E. Shasha: Finding October. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Opioid games. (2019) authored by Dennis E. Shasha. Dennis E. Shasha: Stopping tyranny. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Optimal chimes. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Privacy-preserving polling. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Exclusivity probes. (2022) authored by Dennis E. Shasha. Dennis E. Shasha: Card Nim. (2022) authored by Dennis E. Shasha. Rémi Rampin et al.: ReproZip: The Reproducibility Packer. (2016) authored by Dennis E. Shasha. Dennis E. Shasha and Jason Tsong-Li Wang: New Techniques for Best-Match Retrieval. (1990) authored by Dennis E. Shasha. Noah Youngs et al.: Negative Example Selection for Protein Function Prediction: The NoGO Database. (2014) authored by Dennis E. Shasha. Christopher S. Poultney et al.: Sungear: interactive visualization and functional analysis of genomic datasets. (2007) authored by Dennis E. Shasha. Maximilien Servajean et al.: Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach. (2017) authored by Dennis E. Shasha. Giovanni Micale et al.: MultiRI: Fast Subgraph Matching in Labeled Multigraphs. (2020) authored by Dennis E. Shasha. Dennis E. Shasha and Philippe Bonnet: Database Tuning - Principles, Experiments, and Troubleshooting Techniques. (2002) authored by Dennis E. Shasha. Dennis E. Shasha: Database Tuning - A Principled Approach (1992) authored by Dennis E. Shasha. Dennis E. Shasha: The puzzler's elusion - a tale of fraud, pursuit, and the art of logic. (2006) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Finding approximate patterns in undirected acyclic graphs. (2002) authored by Dennis E. Shasha. Eric Hielscher et al.: Locality Optimization for Data Parallel Programs (2013) authored by Dennis E. Shasha. Raoni Lourenço et al.: Debugging Machine Learning Pipelines. (2020) authored by Dennis E. Shasha. Alfredo Ferro et al.: Behind Efficient Algorithms to Search in Graphs. (2011) authored by Dennis E. Shasha. Cathy A. Lazere and Dennis E. Shasha: Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists. (1998) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Data Mining in Bioinformatics (2005) edited by Dennis E. Shasha. Cinzia Di Pietro et al.: AntiClustAl: Multiple Sequence Alignment by Antipole Clustering. (2005) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Introduction to Data Mining in Bioinformatics. (2005) authored by Dennis E. Shasha. Kaizhong Zhang and Dennis E. Shasha: Tree pattern matching. (1997) authored by Dennis E. Shasha. Sanjoy K. Baruah et al.: On the competitiveness of on-line real-time task scheduling. (1991) authored by Dennis E. Shasha. Gilad Koren and Dennis E. Shasha: Dover; an optimal on-line scheduling algorithm for overloaded real-time systems. (1992) authored by Dennis E. Shasha. Gilad Koren and Dennis E. Shasha: An Approach To Handling Overloaded Systems That Allow Skips. (1995) authored by Dennis E. Shasha. Gilad Koren et al.: MOCA: A multiprocessor on-line competitive algorithm for real-time system scheduling. (1993) authored by Dennis E. Shasha. Vladimir Lanin and Dennis E. Shasha: A Symmetric Concurrent B-Tree Algorithm. (1986) authored by Dennis E. Shasha. David Mazières and Dennis E. Shasha: Building secure file systems out of Byzantine storage. (2002) authored by Dennis E. Shasha. Nathan Goodman and Dennis E. Shasha: Semantically-based Concurrency Control for Search Structures. (1985) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Utilization of B-trees with Inserts, Deletes and Modifies. (1989) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: A Framework for the Performance Analysis of Concurrent B-tree Algorithms. (1990) authored by Dennis E. Shasha. Vladimir Lanin and Dennis E. Shasha: Concurrent Set Manipulation without Locking. (1988) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Algorithmics and Applications of Tree and Graph Searching. (2002) authored by Dennis E. Shasha. John Turek et al.: Locking without Blocking: Making Lock Based Concurrent Data Structure Algorithms Nonblocking. (1992) authored by Dennis E. Shasha. Shuai Mu et al.: Deferred Runtime Pipelining for contentious multicore software transactions. (2019) authored by Dennis E. Shasha. Jinyuan Li et al.: Secure Untrusted Data Repository (SUNDR). (2004) authored by Dennis E. Shasha. Zain Tariq et al.: Planning Epidemic Interventions with EpiPolicy. (2021) authored by Dennis E. Shasha. Djamel Edine Yagoubi et al.: ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Take Your Seats. (2015) authored by Dennis E. Shasha. Dennis E. Shasha: Ruby risks. (2017) authored by Dennis E. Shasha. Dennis E. Shasha: Fighting for lava. (2019) authored by Dennis E. Shasha. Dennis E. Shasha: Feedback for foxes. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Randomower. (2021) authored by Dennis E. Shasha. Giovanni Micale et al.: Fast analytical methods for finding significant labeled graph motifs. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Tuning Databases for High Performance. (1996) authored by Dennis E. Shasha. Karen E. Thum et al.: An integrated genetic, genomic and systems approach defines gene networks regulated by the interaction of light and carbon signaling pathways in Arabidopsis. (2008) authored by Dennis E. Shasha. Alan D. Fekete et al.: Making snapshot isolation serializable. (2005) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: The Performance of Current B-Tree Algorithms. (1993) authored by Dennis E. Shasha. Dennis E. Shasha and Nathan Goodman: Concurrent Search Structure Algorithms. (1988) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Foreword to TODS SIGMOD/PODS 2008 special issue. (2009) authored by Dennis E. Shasha. Dennis E. Shasha et al.: Transaction Chopping: Algorithms and Performance Studies (1995) authored by Dennis E. Shasha. Dennis E. Shasha and Jason Tsong-Li Wang: Optimizing Equijoin Queries In Distributed Databases Where Relations Are Hash Partitioned. (1991) authored by Dennis E. Shasha. Xin Zhang et al.: Fast Elastic Peak Detection for Mass Spectrometry Data Mining. (2012) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: MetricMap: an embedding technique for processing distance-based queries in metric spaces. (2005) authored by Dennis E. Shasha. Christophe Pradal et al.: VersionClimber: Version Upgrades Without Tears. (2019) authored by Dennis E. Shasha. Alessandro Laganà et al.: miRò: a miRNA knowledge base. (2009) authored by Dennis E. Shasha. Alfredo Ferro et al.: Fast Clustering and Minimum Weight Matching Algorithms for Very Large Mobile Backbone Wireless Networks. (2003) authored by Dennis E. Shasha. Lior Galanti et al.: Pheniqs 2.0: accurate, high-performance Bayesian decoding and confidence estimation for combinatorial barcode indexing. (2021) authored by Dennis E. Shasha. Fabio Rinnone et al.: NetMatchStar: an enhanced Cytoscape network querying app. (2015) authored by Dennis E. Shasha. Fernando Chirigati et al.: A collaborative approach to computational reproducibility. (2016) authored by Dennis E. Shasha. Matthias Jarke and Dennis E. Shasha: Message from the Editors-in-Chief. (2000) authored by Dennis E. Shasha. Matthias Jarke and Dennis E. Shasha: Information Systems takes a new direction. (1994) authored by Dennis E. Shasha. Matthias Jarke and Dennis E. Shasha: The new Editorial Board of Information Systems . (1994) authored by Dennis E. Shasha. Dennis E. Shasha: Editorial. (2004) authored by Dennis E. Shasha. Sanjoy K. Baruah et al.: On the Competitiveness of On-Line Real-Time Task Scheduling. (1992) authored by Dennis E. Shasha. Eduardo da Silva Mattos and Dennis E. Shasha: Bankruptcy prediction with low-quality financial information. (2024) authored by Dennis E. Shasha. Anh L. Mai et al.: Planning Multiple Epidemic Interventions with Reinforcement Learning. (2023) authored by Dennis E. Shasha. Raoni Lourenço et al.: BugDoc: Algorithms to Debug Computational Processes. (2020) authored by Dennis E. Shasha. Zhehu Yuan et al.: Forgetful Forests: high performance learning data structures for streaming data under concept drift. (2022) authored by Dennis E. Shasha. Philippe Bonnet and Dennis E. Shasha: Tuning Database Design for High Performance. (2014) authored by Dennis E. Shasha. Dennis E. Shasha: Tuning Database Design for High Performance. (1997) authored by Dennis E. Shasha. Misael Mongiovì et al.: gLabTrie: A Data Structure for Motif Discovery with Constraints. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Puzzling adventures - tales of strategy, logic, and mathematical skill. (2005) authored by Dennis E. Shasha. Dennis E. Shasha: Dr. Ecco - mathematical detective. (2004) authored by Dennis E. Shasha. Dennis E. Shasha: StrangerDB: Safe Data Management with Untrusted Servers. (2006) authored by Dennis E. Shasha. Wei Cao and Dennis E. Shasha: AppSleuth: a tool for database tuning at the application level. (2013) authored by Dennis E. Shasha. Wei Cao and Dennis E. Shasha: Tuning in action. (2013) authored by Dennis E. Shasha. Dennis E. Shasha: Biocomputational puzzles: data, algorithms, and visualization. (2008) authored by Dennis E. Shasha. Gilad Koren and Dennis E. Shasha: D^over: An Optimal On-Line Scheduling Algorithm for Overloaded Uniprocessor Real-Time Systems. (1995) authored by Dennis E. Shasha. Dennis E. Shasha and Kaizhong Zhang: Fast Algorithms for the Unit Cost Editing Distance Between Trees. (1990) authored by Dennis E. Shasha. Kaizhong Zhang et al.: Approximate Tree Matching in the Presence of Variable Length Don't Cares. (1994) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance Between Unordered Labeled Trees. (1992) authored by Dennis E. Shasha. Xiong Wang et al.: Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining. (2002) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: A System for Approximate Tree Matching. (1994) authored by Dennis E. Shasha. Merrill E. Isenman and Dennis E. Shasha: Performance and Architectural Issues for String Matching. (1990) authored by Dennis E. Shasha. Kaippallimalil J. Jacob and Dennis E. Shasha: FinTime - A Financial Time Series Benchmark. (1999) authored by Dennis E. Shasha. Ioana Manolescu et al.: The repeatability experiment of SIGMOD 2008. (2008) authored by Dennis E. Shasha. Kaizhong Zhang et al.: On the Editing Distance Between Undirected Acyclic Graphs. (1996) authored by Dennis E. Shasha. Salvatore Alaimo et al.: TACITuS: transcriptomic data collector, integrator, and selector on big data platform. (2019) authored by Dennis E. Shasha. Dennis E. Shasha: Review - WALRUS: A Similarity Retrieval Algorithm for Image Databases. (1999) authored by Dennis E. Shasha. Dennis E. Shasha: Review - Join Synopses for Approximate Query Answering. (1999) authored by Dennis E. Shasha. Dennis E. Shasha: Review - On Random Sampling over Joins. (1999) authored by Dennis E. Shasha. Dennis E. Shasha: Review - Ripple Joins for Online Aggregation. (1999) authored by Dennis E. Shasha. Dennis E. Shasha: Review - Efficient Locking for Concurrent Operations on B-Trees. (1999) authored by Dennis E. Shasha. Alfredo Ferro et al.: NetMatch: a Cytoscape plugin for searching biological networks. (2007) authored by Dennis E. Shasha. Munir Cochinwala et al.: Efficient data reconciliation. (2001) authored by Dennis E. Shasha. Steve Rozen and Dennis E. Shasha: A Framework for Automating Physical Database Design. (1991) authored by Dennis E. Shasha. Christophe Salperwyck et al.: GhostDB: Hiding Data from Prying Eyes. (2007) authored by Dennis E. Shasha. Jason Tsong-Li Wang and Dennis E. Shasha: Query Processing for Distance Metrics. (1990) authored by Dennis E. Shasha. Yunyue Zhu and Dennis E. Shasha: StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time. (2002) authored by Dennis E. Shasha. Sanjoy K. Baruah et al.: On-line Scheduling in the Presence of Overload (1991) authored by Dennis E. Shasha. Dennis E. Shasha and Martyn Amos: DNA Hash Pooling and its Applications. (2009) authored by Dennis E. Shasha. Siddharth Krishna et al.: Go with the flow: compositional abstractions for concurrent data structures. (2018) authored by Dennis E. Shasha. Nisarg Patel et al.: Verifying concurrent multicopy search structures. (2021) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Auction Triplets. (2015) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Ice Trap. (2016) authored by Dennis E. Shasha. Dennis E. Shasha: Open field tic-tac-toe. (2017) authored by Dennis E. Shasha. Dennis E. Shasha: Stacking the deck. (2017) authored by Dennis E. Shasha. Dennis E. Shasha: Partitioned peace. (2017) authored by Dennis E. Shasha. Dennis E. Shasha: Polychromatic choreography. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Bounce blockchain. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Randomized anti-counterfeiting. (2019) authored by Dennis E. Shasha. Dennis E. Shasha: Dust wars. (2019) authored by Dennis E. Shasha. Dennis E. Shasha: Stay in balance. (2021) authored by Dennis E. Shasha. Dennis E. Shasha: Roulette Angel. (2021) authored by Dennis E. Shasha. Dennis E. Shasha: String me along. (2021) authored by Dennis E. Shasha. Dennis E. Shasha: Beating the house. (2022) authored by Dennis E. Shasha. Dennis E. Shasha: Maximal Cocktails. (2023) authored by Dennis E. Shasha. Dennis E. Shasha: Sampling the Goods. (2023) authored by Dennis E. Shasha. Dennis E. Shasha: Tidy Towers. (2023) authored by Dennis E. Shasha. Nicolas Anciaux et al.: Revelation on demand. (2009) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: New Techniques for DNA Sequence Classification. (1999) authored by Dennis E. Shasha. Dennis E. Shasha and Marc Snir: Efficient and Correct Execution of Parallel Programs that Share Memory. (1988) authored by Dennis E. Shasha. Dennis E. Shasha: Tuning Time Series Queries in Finance: Case Studies and Recommendations. (1999) authored by Dennis E. Shasha. Mustafa Anil Koçak et al.: SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness. (2017) authored by Dennis E. Shasha. Michele Dolfi et al.: A model project for reproducible papers: critical temperature for the Ising model on a square lattice. (2014) authored by Dennis E. Shasha. Cole Smith et al.: Robotic Room Traversal using Optical Range Finding. (2020) authored by Dennis E. Shasha. Fábio Porto et al.: Point pattern search in big data. (2018) authored by Dennis E. Shasha. Huiyuan Shan et al.: A Structure-Based Search Engine for Phylogenetic Databases. (2002) authored by Dennis E. Shasha. Dennis E. Shasha et al.: ATreeGrep: Approximate Searching in Unordered Trees. (2002) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: TreeRank: A Similarity Measure for Nearest Neighbor Searching in Phylogenetic Databases. (2003) authored by Dennis E. Shasha. Kaizhong Zhang and Dennis E. Shasha: Simple Fast Algorithms for the Editing Distance Between Trees and Related Problems. (1989) authored by Dennis E. Shasha. Mustafa Anil Koçak et al.: SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness. (2021) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees. (1998) authored by Dennis E. Shasha. Manos Athanassoulis et al.: Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines. (2023) authored by Dennis E. Shasha. Juliana Freire et al.: Exploring the Coming Repositories of Reproducible Experiments: Challenges and Opportunities. (2011) authored by Dennis E. Shasha. João L. M. Pereira et al.: AcX: System, Techniques, and Experiments for Acronym Expansion. (2022) authored by Dennis E. Shasha. Dennis E. Shasha: An interview with Michael Rabin. (2010) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart Puzzles: Proving without Teaching/Teaching without Proving. (2014) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart puzzles. (2015) authored by Dennis E. Shasha. Dennis E. Shasha: Upstart puzzles. (2016) authored by Dennis E. Shasha. Dennis E. Shasha: String wars. (2018) authored by Dennis E. Shasha. Dennis E. Shasha: Strategic paddling. (2020) authored by Dennis E. Shasha. Dennis E. Shasha: Orbit design. (2022) authored by Dennis E. Shasha. Dennis E. Shasha: Cooperation in the Commons. (2023) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: New techniques for extracting features from protein sequences. (2001) authored by Dennis E. Shasha. Zhehu Yuan et al.: Forgetful Forests: Data Structures for Machine Learning on Streaming Data under Concept Drift. (2023) authored by Dennis E. Shasha. Alessandro Laganà et al.: miR-EdiTar: a database of predicted A-to-I edited miRNA target sites. (2012) authored by Dennis E. Shasha. Noah Youngs et al.: Parametric Bayesian priors and better choice of negative examples improve protein function prediction. (2013) authored by Dennis E. Shasha. John Turek and Dennis E. Shasha: The Many Faces of Consensus in Distributed Systems. (1992) authored by Dennis E. Shasha. Fernando Seabra Chirigati et al.: A Computational Reproducibility Benchmark. (2013) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Some Approaches to Index Design for Cube Forest. (1997) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: Some Approaches to Index Design for Cude Forests. (1999) authored by Dennis E. Shasha. Alberto Lerner and Dennis E. Shasha: The Virtues and Challenges of Ad Hoc + Streams Querying in Finance. (2003) authored by Dennis E. Shasha. Dennis E. Shasha: What Good are Concurrent Search Structure Algorithms for databases Anyway? (1985) authored by Dennis E. Shasha. Diego Reforgiato Recupero et al.: Graphclust: a Method for Clustering Database of Graphs. (2008) authored by Dennis E. Shasha. Susan H. Gray et al.: Information Search with Dynamic Text vs Paper Text: An Empirical Comparison. (1991) authored by Dennis E. Shasha. Giovanni Micale et al.: Fast methods for finding significant motifs on labelled multi-relational networks. (2019) authored by Dennis E. Shasha. Alfredo Ferro et al.: GraphFind: enhancing graph searching by low support data mining techniques. (2008) authored by Dennis E. Shasha. Raffaele Di Natale et al.: SING: Subgraph search In Non-homogeneous Graphs. (2010) authored by Dennis E. Shasha. Bingran Shen et al.: EnsInfer: a simple ensemble approach to network inference outperforms any single method. (2023) authored by Dennis E. Shasha. Gabriel Krouk et al.: A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis. (2009) authored by Dennis E. Shasha. Theodore Johnson and Dennis E. Shasha: B-Trees with Inserts and Deletes: Why Free-at-Empty Is Better Than Merge-at-Half. (1993) authored by Dennis E. Shasha. Oleksandra Levchenko et al.: BestNeighbor: efficient evaluation of kNN queries on large time series databases. (2021) authored by Dennis E. Shasha. Xiong Wang et al.: An Index Structure for Data Mining and Clustering. (2000) authored by Dennis E. Shasha. Titouan Lorieul et al.: Classification Under Ambiguity: When Is Average-K Better Than Top-K? (2021) authored by Dennis E. Shasha. Fábio Porto et al.: Constellation Queries over Big Data. (2017) authored by Dennis E. Shasha. Fernando Chirigati et al.: A Collaborative Approach to Computational Reproducibility. (2017) authored by Dennis E. Shasha. Nikunj Gupta et al.: On the calibration of compartmental epidemiological models. (2023) authored by Dennis E. Shasha. Nisarg Patel et al.: Verifying Concurrent Multicopy Search Structures. (2021) authored by Dennis E. Shasha. Siddharth Krishna et al.: Go with the Flow: Compositional Abstractions for Concurrent Data Structures (Extended Version). (2017) authored by Dennis E. Shasha. Eleftherios Soulas and Dennis E. Shasha: Fast Methods for Statistical Arbitrage. (2016) authored by Dennis E. Shasha. Bin Li et al.: A Framework for Biological Pattern Discovery on Networks of Workstations. (1999) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Pattern Discovery and Classification in Biosequences. (1999) authored by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Pattern Discovery in Biomolecular Data: Tools, Techniques and Applications (1999) edited by Dennis E. Shasha{'author_wikipedia_text': \\\"Dennis Elliot Shasha is an American professor of computer science at the Courant Institute of Mathematical Sciences, a division of New York University. He is also an associate director of NYU WIRELESS. His current areas of research include work done with biologists on pattern discovery for microarrays, combinatorial design, network inference, and protein docking; work done with physicists, musicians, and professionals in finance on algorithms for time series; and work on database applications in untrusted environments. Other areas of interest include database tuning as well as tree and graph matching.\\\\nAfter graduating from Yale in 1977, he worked for IBM designing circuits and microcode for the IBM 3090. While at IBM, he earned his M.Sc. from Syracuse University in 1980. He completed his Ph.D. in applied mathematics at Harvard in 1984 (thesis advisor: Nat Goodman).\\\\nProfessor Shasha is a prolific author, researcher, tango dancer, climber, and public speaker. He has written six books of puzzles, five of which center on the work of a mathematical detective by the name of Jacob Ecco, a biography about great computer scientists (coauthored by freelance journalist Cathy Lazere), and technical books relating to his various areas of research. In his non-academic writings, perhaps his greatest invention is the notion of omniheuristics, a kind of super-heuristics concerned with the ability to solve any and all manner of puzzles, conundrums, enigmas, and dilemmas. Owing their decidedly curious character, he has given particular note to puzzles that start off easy, but have apparently innocent variants that are particularly perplexing; he calls them 'upstarts'.\\\\nProfessor Shasha has written monthly puzzle columns for Communications of the ACM, Scientific American, and Dr. Dobb's Journal. He lives in New York with his wife Karen.\\\\nIn 2013 he became a fellow of the Association for Computing Machinery.\\\"}\",\n \"verbalizer_on_all_triples\": \"Dennis Shasha has written paper amount in year 2012: 15.\\nDennis Shasha wrote 13 papers in 2013.\\nDennis Shasha wrote 9 papers in 2014.\\nDennis Shasha wrote 11 papers in 2015.\\nDennis Shasha's written paper amount in year 2016 is 24.\\nDennis Shasha wrote 17 papers in 2017.\\nDennis Shasha's written paper amount in year 2018 is 29.\\nDennis Shasha's written paper amount in year 2019 is 14 pages.\\nDennis Shasha's written paper amount in year 2020 is 19,000.\\nDennis Shasha's written paper amount in year2021 is 41.\\nDennis Shasha's written paper amount in year2022 is 9.\\nDennis Shasha wrote 12 papers in the year 2023.\\nDennis Shasha has a 2YrMeanCitedness of 0.78333336114883422852.\\nDennis E. Shasha is affiliated with New York University, Courant Institute of Mathematical Sciences.\\nDennis Shasha's alternative names are D. E. Shasha and Dennis Shasha. Dennis Shasha's alternative names are Dennis Elliott Shasha and Dennis Shasha.\\n\\\"Dennis E. Shasha: Privacy-preserving polling. (2020), Xin Zhang and Dennis E. Shasha: Better Burst Detection. (2006), Helena Galhardas et al.: Improving Data Cleaning Quality Using a Data Lineage Facility. (2001), Alan D. Fekete et al.: Making snapshot isolation serializable. (2005), Merrill E. Isenman and Dennis E. Shasha: Performance and\\nDennis Shasha has cited ByCount of 15428.\\nCatriel Beeri et al.: Database Programming Languages (DBPL-4), Proceedings of the Fourth International Workshop on Database Programming Languages - Object Models and Languages, Manhattan, New York City, USA, 30 August - 1 September 1993 (1994), edited by Dennis E. Shasha. Jason Tsong-Li Wang et al.: Data Mining in Bioinformatics (2005).\\nDennis Shasha has an h-index of 60.\\nDennis Shasha has an i10Index of 173.\\nDennis E. Shasha is the creator of Dennis E. Shasha. He is the author of Dennis E. Shasha.\\nDennis E. Shasha's link is \\\"http://www.wikidata.org/entity/Q56892414, https://scholar.google.com/citations?user=UH3qseUAAAAJ, https://en.wikipedia.org/wiki/Dennis_Shasha, https://dl.acm.org/profile/81100290016, https://zbmath.org/authors/?q=ai:shasha.\\nDennis Shasha is a member of New York University.\\nDennis Shasha was modified on 2023-10-18.\\nDennis Shasha's name is Dennis Shasha.\\nDennis Shasha's orcidId is https://orcid.org/0000-0002-7036-3312.\\nDennis E. Shasha's primary affiliation is New York University, Courant Institute of Mathematical Sciences.\\nDennis Shasha has 625 works.{'author_wikipedia_text': \\\"Dennis Elliot Shasha is an American professor of computer science at the Courant Institute of Mathematical Sciences, a division of New York University. He is also an associate director of NYU WIRELESS. His current areas of research include work done with biologists on pattern discovery for microarrays, combinatorial design, network inference, and protein docking; work done with physicists, musicians, and professionals in finance on algorithms for time series; and work on database applications in untrusted environments. Other areas of interest include database tuning as well as tree and graph matching.\\\\nAfter graduating from Yale in 1977, he worked for IBM designing circuits and microcode for the IBM 3090. While at IBM, he earned his M.Sc. from Syracuse University in 1980. He completed his Ph.D. in applied mathematics at Harvard in 1984 (thesis advisor: Nat Goodman).\\\\nProfessor Shasha is a prolific author, researcher, tango dancer, climber, and public speaker. He has written six books of puzzles, five of which center on the work of a mathematical detective by the name of Jacob Ecco, a biography about great computer scientists (coauthored by freelance journalist Cathy Lazere), and technical books relating to his various areas of research. In his non-academic writings, perhaps his greatest invention is the notion of omniheuristics, a kind of super-heuristics concerned with the ability to solve any and all manner of puzzles, conundrums, enigmas, and dilemmas. Owing their decidedly curious character, he has given particular note to puzzles that start off easy, but have apparently innocent variants that are particularly perplexing; he calls them 'upstarts'.\\\\nProfessor Shasha has written monthly puzzle columns for Communications of the ACM, Scientific American, and Dr. Dobb's Journal. He lives in New York with his wife Karen.\\\\nIn 2013 he became a fellow of the Association for Computing Machinery.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"Dennis E. Shasha and Kaizhong Zhang: Fast Algorithms for the Unit Cost Editing Distance Between Trees. (1990), Theodore Johnson and Dennis E. Shasha: A Framework for the Performance Analysis of Concurrent B-tree Algorithms. (1988), Vladimir Lanin and Dennis E. Shasha: A Symmetric Concurrent B-Tree Algorithm. (1986), Kaizhong Zhang et al.: On the Editing Distance Between Un{'author_wikipedia_text': \\\"Dennis Elliot Shasha is an American professor of computer science at the Courant Institute of Mathematical Sciences, a division of New York University. Other areas of interest include database tuning as well as tree and graph matching. in applied mathematics at Harvard in 1984 (thesis advisor: Nat Goodman). He has written six books of puzzles, five of which center on the work of a mathematical detective by the name of Jacob Ecco, a biography about great computer scientists (coauthored by freelance journalist Cathy Lazere), and technical books relating to his various areas of research\"\n}"}}},{"rowIdx":89,"cells":{"id":{"kind":"string","value":"5b7f8d4c-30de-423d-8d24-4483009aea3e"},"triples_number":{"kind":"number","value":424,"string":"424"},"question":{"kind":"string","value":"What is the count of publications for the affiliation of the creator of 'A novel short-term stock price predicting system'?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hamid R. Arabnia\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hamid R. 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Arabnia link http://www.cs.uga.edu/~hra/. Hamid R. Arabnia primary affiliation University of Georgia, Athens, USA. Hamid R. Arabnia link http://www.cs.uga.edu/~hra/. Hamid R. Arabnia link https://www.scopus.com/authid/detail.uri?authorId=7003910983. Hamid R. Arabnia link https://dl.acm.org/profile/81487651909. Hamid R. Arabnia link https://dl.acm.org/profile/81100065618. Hamid R. Arabnia link https://scholar.google.com/citations?user=g86VLOUAAAAJ. Hamid R. Arabnia link https://en.wikipedia.org/wiki/Hamid_Arabnia. Hamid R. Arabnia: A distributed stereocorrelation algorithm. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Jun Ni: Proceedings of The 2005 International Conference on Grid Computing and Applications, GCA 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Grid Computing & Applications, GCA 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Grid Computing & Applications, GCA 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Grid Computing & Applications, GCA 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of the 2009 International Conference on Grid Computing & Applications, GCA 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Grid Computing & Applications, GCA 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Anthony Scime: Proceedings of The 2005 International Conference on Data Mining, DMIN 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Robert Stahlbock et al.: Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Junfeng Qu and Hamid R. Arabnia: Mining Structural Changes in Financial Time Series with Gray System. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia and Homayoun Valafar: Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, BIOCOMP'06, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mary Qu Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: Algorithms for Computational Viral Extension - Direct and Inverse Problems. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1995, November 3-4, 1995, Georgia, USA (1995) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1996, August 9-11, 1996, Sunnyvale, California, USA (1996) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1997, June 30 - July 3, 1997, Las Vegas, Nevada, USA (1997) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1999, June 28 - Junlly 1, 1999, Las Vegas, Nevada, USA (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2000, June 24-29, 2000, Las Vegas, Nevada, USA (2000) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 1 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 2 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 3 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 4 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 3 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 4 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Jun Ni: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 2 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 3 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 3 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, PDPTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, PDPTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, Volume 1 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, Volume 2 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008, Las Vegas, Nevada, USA, July 14-17, 2008, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2009, Las Vegas, Nevada, USA, July 13-17, 2009, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2010, Las Vegas, Nevada, USA, July 12-15, 2010, 2 Volumes (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Xiangjian He: Edge Detection Using MultiRing on Spiral Architecture. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Reconfigurable Ring-Based Network of Processors. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Parallel Stereocorrelation with Applications in Medical Imaging. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Jeffrey W. Smith: Emulation of a Parallel System Interconnection Network Implemented with Sockets. (1996) authored by Hamid R. Arabnia. Leonidas Deligiannidis and Hamid R. Arabnia: MRSIM: A Simulator for the MultiRing. (2005) authored by Hamid R. Arabnia. Xiangjian He and Hamid R. Arabnia: Parallel Edge Detection Using Uni-Directional MultiRing on Spiral Architecture. (2004) authored by Hamid R. Arabnia. Mary Qu Yang et al.: The Impact of Supercomputing in the Next Generation Sequencing Data Mining. (2009) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Semantic Web & Web Services, SWWS 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Semantic Web & Web Services, SWWS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Andy Marsh: Proceedings of the 2008 International Conference on Semantic Web & Web Services, SWWS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Andy Marsh: Proceedings of the 2009 International Conference on Semantic Web & Web Services, SWWS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Semantic Web & Web Services, SWWS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Computers for People with Special Needs, CPSN 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Malware detection using artificial bee colony algorithm. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Computer Vision, VISION 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Ananda S. Chowdhury et al.: Improved Stereo Correlation using Moravec Operator and Kolmogorov-Smirnov Test. (2005) authored by Hamid R. Arabnia. M. Arif Wani et al.: Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA. (2002) edited by Hamid R. Arabnia. Kaiqi Xiong et al.: Next Generation Sequence Analysis Using Genetic Algorithms on Multi-core Technology. (2009) authored by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Ananda S. Chowdhury and Hamid R. Arabnia: A Comprehensive Study of Stereo Correlation Performance. (2004) authored by Hamid R. Arabnia. Felicia S. Jones and Hamid R. Arabnia: Automatic Region Growing Algorithm for the Visible Human Dateset. (2003) authored by Hamid R. Arabnia. Matthias Wiemann and Hamid R. Arabnia: Stereo Images and Genetic Algorithms: Making Computers See Depth. (2004) authored by Hamid R. Arabnia. James J. Park et al.: Grid and Pervasive Computing - 8th International Conference, GPC 2013 and Colocated Workshops, Seoul, Korea, May 9-11, 2013. Proceedings (2013) edited by Hamid R. Arabnia. Austin T. New et al.: Non-rigid shape correspondence and description using geodesic field estimate distribution. (2012) authored by Hamid R. Arabnia. Mahsa Imani et al.: Improving MAX-MIN ant system performance with the aid of ART2-based Twin Removal method. (2010) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Variable Precision (CIVP) Floating Point Multiplication Architecture for FPGAs. (2007) authored by Hamid R. Arabnia. Jack Y. Yang et al.: High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the 2007 International Conference on Multimedia Systems and Applications, MSA 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: Analysis of Subspace-based Face Recognition Techniques under Changes in Imaging Factors. (2007) authored by Hamid R. Arabnia. Jack O. Shelton and Hamid R. Arabnia: Brain Imaging for Diagnosis of Schizophrenia: Challenges, Successes and a Research Road Map. (2012) authored by Hamid R. Arabnia. Hamid R. Arabnia and Elena B. Kozerenko: Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications. MLMTA'03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of The 2005 International Conference on Machine Learning, Models, Technologies and Applications, MLMTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2006 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC 2002, Las Vegas, Nevada, USA, June 24-27, 2002 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC '03, Las Vegas, Nevada, USA, June 23-26, 2003, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC '03, Las Vegas, Nevada, USA, June 23-26, 2003, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Olaf Droegehorn: Proceedings of the International Conference on Internet Computing, IC '04, Las Vegas, Nevada, USA, June 21-24, 2004, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Internet Computing, IC '04, Volume 2 & Proceedings of the International Symposium on Web Services & Applications, ISWS '04, Las Vegas, Nevada, USA, June 21-24, 2004 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Internet Computing, ICOMP 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Internet Computing & Conference on Computer Games Development, ICOMP 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Internet Computing, ICOMP 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2008 International Conference on Internet Computing, ICOMP 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2009 International Conference on Internet Computing, ICOMP 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Internet Computing, ICOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Rabia Jafri et al.: A Skeleton-Based Deep Learning Approach for Recognizing Violent Actions in Surveillance Scenarios. (2022) authored by Hamid R. Arabnia. Hamid R. Arabnia and Iyad A. Ajwa: Proceedings of the 2005 International Conference on Algorithmic Mathematics and Computer Science, AMCS 2005, Las Vegas, Nevada, USA (2005) edited by Hamid R. Arabnia. Himanshu Thapliyal et al.: Design And Analysis of A VLSI Based High Performance Low Power Parallel Square Architecture. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Human-Computer Interaction, HCI 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: Parallelization of computer vision algorithms on a reconfigurable multiprocessor. (1994) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Personalized Feedback Emails: A Case Study on Online Introductory Computer Science Courses. (2020) authored by Hamid R. Arabnia. Hong Shen et al.: Parallel and Distributed Computing, Applications and Technologies - 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17-19, 2021, Proceedings (2022) edited by Hamid R. Arabnia. Brian J. d'Auriol and Hamid R. Arabnia: Proceedings of the 2005 International Conference on Communications in Computing, CIC 2005, Las Vegas, Nevada, USA (2005) edited by Hamid R. Arabnia. Brian J. d'Auriol et al.: Proceedings of the 2006 International Conference on Communications in Computing, CIC 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Brian J. d'Auriol and Hamid R. Arabnia: Proceedings of the 2008 International Conference on Communications in Computing, CIC 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Shrirang M. Yardi and Hamid R. Arabnia: A Communication Framework for the Reconfigurable Multi-Ring Network. (2003) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Information and Knowledge Engineering, IKE 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2006 International Conference on Information & Knowledge Engineering, IKE 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2007 International Conference on Information & Knowledge Engineering, IKE 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2008 International Conference on Information & Knowledge Engineering, IKE 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Information & Knowledge Engineering, IKE 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Information & Knowledge Engineering, IKE 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Multi-Resolution Hierarchical Approach for Face Recognition. (2007) authored by Hamid R. Arabnia. David Luper et al.: Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining. (2007) authored by Hamid R. Arabnia. David Luper et al.: Positional Forecasting From Logged Training Data Using Probabilistic Neural Networks. (2009) authored by Hamid R. Arabnia. Junfeng Qu and Hamid R. Arabnia: A novel short-term stock price predicting system. (2005) authored by Hamid R. Arabnia. Junfeng Qu et al.: Time Series Similarity Matching with a New Distance Measure. (2007) authored by Hamid R. Arabnia. Junfeng Qu et al.: PaperGuard: A Support Vector Machine Approach for Screening Machine Generated Papers. (2009) authored by Hamid R. Arabnia. Junfeng Qu et al.: Knowledge Retrieval in Financial Domain. (2008) authored by Hamid R. Arabnia. Mehdi Bahrami et al.: Deep SAS: A Deep Signature-based API Specification Learning Approach. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Gerald Schaefer: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2009, July 13-16, 2009, Las Vegas, Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Kavitha Anandan and Hamid R. Arabnia: Comparison of Statistical Based Thresholding Methods for Nanostructure Images. (2008) authored by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Multi-Level Component-Based Approach for Face Recognition. (2007) authored by Hamid R. Arabnia. Mehdi Assefi et al.: An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale. (2022) authored by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: A Microscope Algorithm and Its Applications in Calculation of Chemical Preparations with Antiviral Effects. (2005) authored by Hamid R. Arabnia. Durga Yeluri et al.: Using Pattern Recognition Techniques in the Gait Analysis to Determine Osteoarthritis in Dogs. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia: Towards a General-Purpose Parallel System for Imaging Operations. (1991) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Pervasive Systems & Computing, PSC 2006, Las Vegas, Nevada, USA , June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: Fusion of Face and Gait for Automatic Human Recognition. (2008) authored by Hamid R. Arabnia. David Luper et al.: Flow Decomposition in Complex Systems. (2011) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Computer Graphics & Virtual Reality, CGVR 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Computer Graphics & Virtual Reality, CGVR 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2008 International Conference on Computer Graphics & Virtual Reality, CGVR 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2009 International Conference on Computer Graphics & Virtual Reality, CGVR 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Computer Graphics & Virtual Reality, CGVR 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. M. Arif Wani and Hamid R. Arabnia: Parallel Polygon Approximation Algorithm Targeted at Reconfigurable Multi-Ring Hardware. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia and Xiangjian He: Scalable Switch for Uni-Directional MultiRing Network. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the International Conference on VLSI, VLSI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Rabia Jafri et al.: Visual and Infrared Sensor Data-Based Obstacle Detection for the Visually Impaired Using the Google Project Tango Tablet Development Kit and the Unity Engine. (2018) authored by Hamid R. Arabnia. Vimala Balakrishnan et al.: Improving cyberbullying detection using Twitter users' psychological features and machine learning. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Editorial. (1998) authored by Hamid R. Arabnia. H. V. Jayashree et al.: Ancilla-input and garbage-output optimized design of a reversible quantum integer multiplier. (2016) authored by Hamid R. Arabnia. M. Arif Wani and Hamid R. Arabnia: Parallel Edge-Region-Based Segmentation Algorithm Targeted at Reconfigurable MultiRing Network. (2003) authored by Hamid R. Arabnia. Farzaneh Motavaselalhagh et al.: Knowledge-based adaptable scheduler for SaaS providers in cloud computing. (2015) authored by Hamid R. Arabnia. Abolfazl Farahani et al.: A Concise Review of Transfer Learning. (2021) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: Embodied AI-Driven Operation of Smart Cities: A Concise Review. (2021) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: A Novel Reconfigurable Multiprocessor for Robot Vision. (1994) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Evolutionary Algorithms and Efficient Data Analytics for Image Processing. (2021) authored by Hamid R. Arabnia. Weihua Zhuang et al.: Proceedings of the International Conference on Wireless Networks, ICWN '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Wireless Networks, ICWN '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Wireless Networks, ICWN '04, Volume 2 & Proceedings of the International Conference on Pervasive Computing and Communications, PCC'04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of the 2005 International Conference on Wireless Networks, ICWN 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Wireless Networks, ICWN 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Wireless Networks, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2008 International Conference on Wireless Networks, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2009 International Conference on Wireless Networks, ICWN 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Wireless Networks, ICWN 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of the 2005 International Conference on Computer Design, CDES 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mary Mehrnoosh Eshaghian-Wilner: Proceedings of the 2006 International Conference on Computer Design & Conference on Computing in Nanotechnology, CDES 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Computer Design, CDES 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Computer Design, CDES 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Computer Design, CDES 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2010 International Conference on Computer Design, CDES 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: Modified Carry Look Ahead BCD Adder With CMOS and Reversible Logic Implementation. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Reversible Programmable Logic Array (RPLA) Using Fredkin and Feynman Gates for Industrial Electronics and Applications. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Partial Reversible Gates(PRG) for Reversible BCD Arithmetic. (2007) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Novel NAND and AND Gate Using DNA Ligation and Two Transistors Implementations. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Design for A Fast And Low Power 2's Complement Multiplier. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Verilog Coding Style for Efficient Synthesis In FPGA. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Double Precision Floating Point Multiplier Suitably Designed for FPGAs and ASICs. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Security and Management, SAM '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Security and Management, SAM '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Security and Management, SAM '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Security and Management, SAM 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Selim Aissi: Proceedings of the 2006 International Conference on Security & Management, SAM 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Selim Aissi and Hamid R. Arabnia: Proceedings of the 2007 International Conference on Security & Management, SAM 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Selim Aissi: Proceedings of the 2008 International Conference on Security & Management, SAM 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Kevin Daimi: Proceedings of the 2009 International Conference on Security & Management, SAM 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Security & Management, SAM 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: PCA-Based Methods for Face Recognition. (2007) authored by Hamid R. Arabnia. Rabia Jafri et al.: An Integrated Face-Gait System for Automatic Recognition of Humans. (2008) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Faster RSA Encryption/Decryption Architecture Using an Efficient High Speed Overlay Multiplier. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Implementation of A Fast Square In RSA Encryption/Decryption Architecture. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Frontiers in Education: Computer Science and Computer Engineering, FECS 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2007 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2008 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia: A Multi-Ring Transputer Network for the Arbitrary Rotation of Raster Images. (1990) authored by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of The 2005 International Conference on Scientific Computing, CSC 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Scientific Computing, CSC 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Scientific Computing, CSC 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Scientific Computing, CSC 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2009 International Conference on Scientific Computing, CSC 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Scientific Computing, CSC 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Biological Computing. (2006) authored by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: Superpower Computational Creation for Biological Computing. (2005) authored by Hamid R. Arabnia. Saurabh Kotiyal et al.: VLSI Implementation of O(n*n) Sorting Algorithms And Their Hardware Comparison. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Programming Languages and Compilers, PLC 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the International Conference on Embedded Systems and Applications, ESA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Embedded Systems and Applications, ESA '04 & Proceedings of the International Conference on VLSI, VLSI '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of The 2005 International Conference on Embedded Systems and Applications, ESA 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Embedded Systems & Applications, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the 2007 International Conference on Embedded Systems & Applications, USA 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Embedded Systems & Applications, USA 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Embedded Systems & Applications, ESA 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2010 International Conference on Embedded Systems & Applications, ESA 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Pallavi Devi Gopineedi et al.: Novel and Efficient 4: 2 and 5: 2 Compressors with Minimum Number of Transistors Designed for Low-Power Operations. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: High Speed Efficient N Bit by N Bit Division Algorithm and Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Time-Area-Power Efficient Multiplier and Square Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Novel Parallel Multiply and Accumulate (V-MAC) Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Need of Quantum Computing: Reversible Logic Synthesis of Parallel Binary Adder-Subtractor. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Reversible Version of 4 x 4 Bit Array Multiplier With Minimum Gates and Garbage Outputs. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Reversible Logic Synthesis of Half, Full and Parallel Subtractors. (2005) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease. (2017) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on E-Business, Enterprise Information Systems, E-Government, and Outsourcing, EEE 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on E-Learning, E-Business, Enterprise Information Systems, E-Government, & Outsourcing, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2007 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, EEE 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2008 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, EEE 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government, EEE 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government, EEE 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Ban Al-Ani et al.: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Ban Al-Ani et al.: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 2 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP 2005, Las Vegas, Nevada, USA, June 27-29, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP 2005, Las Vegas, Nevada, USA, June 27-29, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, SERP 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, SERP 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2007 International Conference on Software Engineering Research & Practice, SERP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2007 International Conference on Software Engineering Research & Practice, SERP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2008 International Conference on Software Engineering Research & Practice, SERP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2009 International Conference on Software Engineering Research & Practice, SERP 2009, July 13-16, 2009, Las Vegas, Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Software Engineering Research & Practice, SERP 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: Graph-Based Methods for Ontology Summarization: A Survey. (2018) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: ES-LDA: Entity Summarization using Knowledge-based Topic Modeling. (2017) authored by Hamid R. Arabnia. Zengyan Wang et al.: Improved Automating Seismic Facies Analysis Using Deep Dilated Attention Autoencoders. (2019) authored by Hamid R. Arabnia. Jongsung Kim et al.: Advanced Information Technologies in Future Computing Environments. (2013) authored by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Editorial - Special Issue: Computational Sciences and Applications. (2003) authored by Hamid R. Arabnia. Rabia Jafri et al.: Computer vision-based object recognition for the visually impaired in an indoors environment: a survey. (2014) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Modeling, Simulation & Visualization Methods, MSV '04 & Proceedings of the International Conference on Algorithmic Mathematics & Computer Science, AMCS '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Modeling, Simulation and Visualization Methods, MSV 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Modeling, Simulation & Visualization Methods, MSV 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Modeling, Simulation & Visualization Methods, MSV 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2008 International Conference on Modeling, Simulation & Visualization Methods, MSV 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2009 International Conference on Modeling, Simulation & Visualization Methods, MSV 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Modeling, Simulation & Visualization Methods, MSV 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization. (2018) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, June 28 - July 1, 1999, Las Vegas, Nevada, USA, Volume 1 (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, June 28 - July 1, 1999, Las Vegas, Nevada, USA, Volume 2 (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 1 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 2 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 3 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, Volume 2 & Proceedings of the International Conference on Machine Learning; Models, Technologies & Applications, MLMTA '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume I, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume II, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008, July 14-17, 2008, Las Vegas, Nevada, USA, 2 Volumes (includes the 2008 International Conference on Machine Learning; Models, Technologies and Applications) (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Survey of Component-Based Face Recognition Approaches. (2007) authored by Hamid R. Arabnia. David Luper et al.: Path Normalcy Analysis Using Nearest Neighbor Outlier Detection. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, GEM 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, GEM 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods, GEM 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Foundations of Computer Science, FCS 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mark Murgin: Proceedings of the 2006 International Conference on Foundations of Computer Science, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Pei Li Zhou: Proceedings of the 2007 International Conference on Foundations of Computer Science, FCS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2008 International Conference on Foundations of Computer Science, FCS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of the 2009 International Conference on Foundations of Computer Science, FCS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Foundations of Computer Science, FCS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: The REFINE Multiprocessor - Theoretical Properties and Algorithms. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Transputer Network for the Arbitrary Rotation of Digitised Images. (1987) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Efficient Reversible Logic Design of BCD Subtractors. (2009) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Progress in Reversible Processor Design: A Novel Methodology for Reversible Carry Look-Ahead Adder. (2013) authored by Hamid R. Arabnia. Young-Sik Jeong et al.: Fuzzy neuro theory and technologies for cloud computing; edited by Young-Sik Jeong, Vaclav Snasel, Hamid R. Arabnia and Jason C. Hung. (2017) authored by Hamid R. Arabnia. Hamid R. Arabnia and Suchendra M. Bhandarkar: Parallel stereocorrelation on a reconfigurable multi-ring network. (1996) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: Arbitrary Rotation of Raster Images with SIMD Machine Architectures. (1987) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review. (2022) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: A Comprehensive Survey of Ontology Summarization: Measures and Methods. (2018) authored by Hamid R. Arabnia. Mohammad Nasajpour et al.: Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study. (2020) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Variable Precision (CIVP) Floating Point Multiplication Architecture for FPGAs (2007) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Floating Point Multiplication Architecture(CIFM) for FPGAs and Its Reversible Logic Implementation (2006) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises. (2019) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Data Analytics for Smart cities: Challenges and Promises. (2021) authored by Hamid R. Arabnia. Ehsan Asali et al.: DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection. (2020) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. (2021) authored by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: Ontology Summarization: Graph-Based Methods and Beyond. (2019) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Emerging ICT applications and services - Big data, IoT, and cloud computing. (2021) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap. (2020) authored by Hamid R. Arabnia. Kai Wang et al.: Comparison of existing triangulation methods for regularly and irregularly spaced height fields. (2001) authored by Hamid R. Arabnia. Hamid R. Arabnia: Distributed stereo-correlation algorithm. (1996) authored by Hamid R. Arabnia. Homayoun Valafar et al.: Distributed Global Optimization and its Development on the MultiRing Network. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia: A Parallel Algorithm for the Arbitrary Rotation of Digitized Images Using Process-and-Data-Decomposition Approach. (1990) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. (2022) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Reduced Area Low Power High Throughput BCD Adders for IEEE 754r Format (2006) authored by Hamid R. Arabnia. Saed Rezayi et al.: Socially Aware Multimodal Deep Neural Networks for Fake News Classification. (2021) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Intelligent systems and smart homes. (2009) authored by Hamid R. Arabnia. Ke Zhang et al.: From genes to networks: in systematic points of view. (2011) authored by Hamid R. Arabnia. Robert A. Gougher and Hamid R. Arabnia: Media Reviews. (1999) authored by Hamid R. Arabnia. Yuanyuan Fu et al.: Current trend and development in bioinformatics research. (2020) authored by Hamid R. Arabnia. Frank Emmert-Streib et al.: Preface. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia and Thiab R. Taha: A parallel numerical algorithm on a reconfigurable multi-ring network. (1998) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: Fast Operations on Raster Images with SIMD Machine Architectures. (1986) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Transputer Network for Fast Operations on Digitised Images. (1989) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Saeid Safaei et al.: The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation. (2018) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Symposium on Web Services and Applications, ISWS 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar et al.: A Reconfigurable Architecture for Image Processing and Computer Vision. (1995) authored by Hamid R. Arabnia. Gerhard-Wilhelm Weber et al.: Preface: advances of machine learning and optimization in healthcare systems and medicine. (2023) authored by Hamid R. Arabnia. Mehdi Imani et al.: A Survey on Asynchronous Quorum-Based Power Saving Protocols in Multi-Hop Networks. (2017) authored by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Survey of Face Recognition Techniques. (2009) authored by Hamid R. Arabnia. Alireza Khatamian and Hamid R. Arabnia: Survey on 3D Surface Reconstruction. (2016) authored by Hamid R. Arabnia. Hamid R. Arabnia and Keqin Li: Guest Editorial. (1998) authored by Hamid R. Arabnia. Hamid R. Arabnia: A Scalable Network Topology for Medical Imaging. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia: High-Performance Computing and Applications in Image Processing and Computer Vision. (1997) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: Parallel Computer Vision on a Reconfigurable Multiprocessor Network. (1997) authored by Hamid R. Arabnia. Jack Y. Yang et al.: Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms. (2014) authored by Hamid R. Arabnia. Xue-Wen Chen and Hamid R. Arabnia: Guest editorial: data mining in bioinformatics and biomedicine. (2010) authored by Hamid R. Arabnia. George A. Gravvanis and Hamid R. Arabnia: The Journal of Parallel Algorithms and Applications: Special Issue on Parallel and Distributed Algorithms. (2004) authored by Hamid R. Arabnia. Mehdi Imani et al.: Power-saving Asynchronous Quorum-based Protocols for Maximal Neighbour Discovery. (2020) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings. (2020) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Students Success Modeling: Most Important Factors. (2023) authored by Hamid R. Arabnia. Ahmad Pahlavan Tafti et al.: OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. (2016) authored by Hamid R. Arabnia. David Luper et al.: System Decomposition for Temporal Concept Analysis. (2011) authored by Hamid R. Arabnia. George A. Gravvanis and Hamid R. Arabnia: Special section: Parallel and distributed algorithms and systems. (2006) authored by Hamid R. Arabnia. George A. Gravvanis et al.: Special section: Grid technology and applications. (2007) authored by Hamid R. Arabnia. Sabah Mohammed et al.: IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Context-Aware Middleware and Intelligent Agents for Smart Environments. (2010) authored by Hamid R. Arabnia. Binod Vaidya et al.: Bio-inspired computing for hybrid information technology. (2012) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. (2022) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM. (2021) authored by Hamid R. Arabnia. Soheyla Amirian et al.: An Integrated Approach for Video Captioning and Applications. (2022) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi and Hamid R. Arabnia: ISEA: Image Steganalysis using Evolutionary Algorithms. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: Graph-based Ontology Summarization: A Survey. (2018) authored by Hamid R. Arabnia. H. V. Jayashree et al.: Ancilla-Input and Garbage-Output Optimized Design of a Reversible Quantum Integer Multiplier. (2016) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Deep Learning at the Edge. (2019) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: Deep Learning in Healthcare: An In-Depth Analysis. (2023) authored by Hamid R. Arabnia. Vimala Balakrishnan et al.: Unravelling social media racial discriminations through a semi-supervised approach. (2022) authored by Hamid R. Arabnia. Mohammad Nasajpour et al.: Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. (2020) authored by Hamid R. Arabnia. William Yang et al.: Identification of genes and pathways involved in kidney renal clear cell carcinoma. (2014) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Special issue on advanced intelligent multimedia applications for next generation environments. (2010) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: The Hough Transform on a Reconfigurable Multi-Ring Network. (1995) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Partial Reversible Gates(PRG) for Reversible BCD Arithmetic (2007) authored by Hamid R. Arabnia. Mehdi Imani et al.: A Comprehensive Survey on Addressing Methods in the Internet of Things. (2018) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: A Review of Deep Transfer Learning and Recent Advancements. (2022) authored by Hamid R. Arabnia. Soheyla Amirian et al.: The Use of Video Captioning for Fostering Physical Activity. (2021) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh and Hamid R. Arabnia: DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Malware Detection using Artificial Bee Colony Algorithm. (2020) authored by Hamid R. Arabnia. Abolfazl Farahani et al.: A Brief Review of Domain Adaptation. (2020) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: 3D-model ShapeNet Core Classification using Meta-Semantic Learning. (2022) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: Reversible Programmable Logic Array (RPLA) using Fredkin & Feynman Gates for Industrial Electronics and Applications (2006) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Evolutionary Computation, Optimization and Learning Algorithms for Data Science. (2019) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: On Parameter Tuning in Meta-learning for Computer Vision. (2020) authored by Hamid R. Arabnia. Hamed Yaghoobian et al.: Sarcasm Detection: A Comparative Study. (2021) authored by Hamid R. Arabnia. Saeid Safaei et al.: Solving Minimum k-supplier in Adleman-Lipton model. (2018) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Generative Adversarial Network Applications in Creating a Meta-Universe. (2022) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning. (2022) authored by Hamid R. Arabnia{'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States.\\\\nHe has been the editor-in-chief of The Journal of Supercomputing since 1997.\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_on_all_triples\": \"Hamid R. Arabnia has a written paper amount of 3 in year 2012.\\nHamid R. Arabnia has a written paper amount of 7 in 2013.\\nHamid R. Arabnia has written paper amount in year 2014: 26.\\nHamid R. Arabnia's written paper amount in year 2015 is 30.\\nHamid R. Arabnia has a written paper amount of 12 in year 2016.\\nHamid R. Arabnia has a written paper amount of 16 in year 2017.\\nHamid R. Arabnia's written paper amount in year 2018 is 20.\\nHamid R. Arabnia has a written paper amount of 18 in year 2019.\\nHamid R. Arabnia's written paper amount in year 2020 is 27.\\nHamid R. Arabnia's written paper amount in year2021 is 28.\\nHamid R. Arabnia's written paper amount in year2022 is 17.\\nHamid R. Arabnia has a written paper amount of 7 in year2023.\\nHamid R. Arabnia has a 2YrMeanCitedness of 3.0909090042114257812.\\nHamid R. Arabnia is affiliated with the University of Georgia, Athens, USA.\\nHamid R. Arabnia is also known as \\\"Hamid A Arabnia, H. Arabnia, Hamid Reza Arabnia, Hamid Arabnia, H. R. Arabnia\\\".\\n\\\"Jack Y. Yang et al.: High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture. (2008), Hamid R. Arabnia and George A. Gravvanis: Editorial - Special Issue: Computational Sciences and Applications. (2003), Jong Hyuk Park et al.: Emerging ICT applications and services - Big data, IoT, and cloud computing. (2021), Gerhard\\nHamid R. Arabnia is cited by count of 3129.\\nHamid R. Arabnia and Olaf Droegehorn: Proceedings of the International Conference on Internet Computing, IC '04, Las Vegas, Nevada, USA, June 21-24, 2004, Volume 1 (2004), Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003), Hamid R. Arabnia and Leoni\\nHamid R. Arabnia has a h-index of 28.\\nHamid R. Arabnia has an i10Index of 58.\\nHamid R. Arabnia is the creator and the author of Hamid R. Arabnia.\\nhttps://dl.acm.org/profile/81487651909, https://en.wikipedia.org/wiki/Hamid_Arabnia, http://www.cs.uga.edu/<unk>hra/, http://www.wikidata.org/entity/Q5644568, https://www.scopus.com/authid/detail.uri?authorId=7003910983, https://scholar.google.com/citation\\nHamid R. Arabnia is a member of Franklin College.\\nHamid R. Arabnia was modified on 2023-10-18.\\nHamid R. Arabnia is also known as Hamid R. Arabnia.\\nHamid R. Arabnia can be found at https://orcid.org/0000-0003-3943-0094.\\nHamid R. Arabnia's primary affiliation is the University of Georgia, Athens, USA.\\nHamid R. Arabnia has 380 works count.{'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States.\\\\nHe has been the editor-in-chief of The Journal of Supercomputing since 1997.\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_plus_evidence_matching\": \"Hamid R. Arabnia has a written paper amount of 3 in year 2012.\\nHamid R. Arabnia has a written paper amount of 7 in 2013.\\nHamid R. Arabnia has written paper amount in year 2014: 26.\\nHamid R. Arabnia's written paper amount in year 2015 is 30.\\nHamid R. Arabnia has a written paper amount of 12 in year 2016.\\nHamid R. Arabnia has a written paper amount of 16 in year 2017.\\nHamid R. Arabnia's written paper amount in year 2018 is 20.\\nHamid R. Arabnia has a written paper amount of 18 in year 2019.\\nHamid R. Arabnia's written paper amount in year 2020 is 27.\\nHamid R. Arabnia's written paper amount in year2021 is 28.\\nHamid R. Arabnia's written paper amount in year2022 is 17.\\nHamid R. Arabnia has a written paper amount of 7 in year2023.\\nHamid R. Arabnia and Keqin Li: Guest Editorial. (1998), Gerhard-Wilhelm Weber et al.: Preface: advances of machine learning and optimization in healthcare systems and medicine. (2023), Yuanyuan Fu et al.: Current trend and development in bioinformatics research. (2020), Junfeng Qu et al.: Knowledge Retrieval in Financial Domain. (2008), Robert A. Gougher and Hamid R. Arabn\\nHamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, edited by Hamid R. Arabnia.\\nHamid R. Arabnia is the creator and the author.\\nHamid R. Arabnia's link is https://scholar.google.com/citations?user=g86VLOUAAAAJ and is located at https://www.scopus.com/authid/detail.uri?authorId=7003910983.\\\\nHe has been the editor-in-chief of The Journal of Supercomputing since 1997. \\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub\"\n}"}}},{"rowIdx":90,"cells":{"id":{"kind":"string","value":"222ba4be-36ef-412e-8229-e9d30ae08fb2"},"triples_number":{"kind":"number","value":307,"string":"307"},"question":{"kind":"string","value":"What is the hIndex of the author of Do speech recognizers prefer female speakers?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"31\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"0.1875\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"LIMSI - Computer Science Laboratory for Mechanics and Engineering Sciences, Orsay, France\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Lori Lamel\"\n },\n {\n \"object\": \"L F. 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(2021)\"\n },\n {\n \"object\": \"Lori Lamel\",\n \"predicate\": \"authored by\",\n \"subject\": \"Martine Adda-Decker et al.: Speech alignment and recognition experiments for Luxembourgish. (2014)\"\n },\n {\n \"object\": \"Lori Lamel\",\n \"predicate\": \"authored by\",\n \"subject\": \"Martine Adda-Decker et al.: Initializing acoustic phone models of under-resourced languages: a case-study of Luxembourgish. (2010)\"\n },\n {\n \"object\": \"Lori Lamel\",\n \"predicate\": \"authored by\",\n \"subject\": \"Gilles Adda et al.: Breaking the Unwritten Language Barrier: The BULB Project. (2016)\"\n },\n {\n \"object\": \"Lori Lamel\",\n \"predicate\": \"authored by\",\n \"subject\": \"Cong-Thanh Do et al.: Speech-to-text development for Slovak, a low-resourced language. (2014)\"\n },\n {\n \"object\": \"Lori Lamel\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thiago Fraga-Silva et al.: Incorporating MLP features in the unsupervised training process. 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(2005) authored by Lori Lamel. Xuan Zhu et al.: Speaker Diarization: From Broadcast News to Lectures. (2006) authored by Lori Lamel. Lori Lamel et al.: Speaker diarization from speech transcripts. (2004) authored by Lori Lamel. David S. Pallett and Lori Lamel: Corrigendum to \\\"Editorial\\\" [Speech Communication 37 (2002) (1-2)]. (2002) authored by Lori Lamel. Cécile Woehrling et al.: A corpus-based prosodic study of Alsatian, Belgian and Swiss French. (2008) authored by Lori Lamel. Jáchym Kolár and Lori Lamel: On Development of Consistently Punctuated Speech Corpora. (2011) authored by Lori Lamel. Frédéric Bimbot et al.: INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25-29, 2013 (2013) edited by Lori Lamel. Panagiota Karanasou et al.: Measuring the Confusability of Pronunciations in Speech Recognition. (2011) authored by Lori Lamel. Jean-Luc Gauvain and Lori Faith Lamel: Identification of Non-Linguistic Speech Features. (1993) authored by Lori Lamel. Martine Adda-Decker et al.: Speech alignment and recognition experiments for Luxembourgish. (2014) authored by Lori Lamel. Lori Lamel et al.: Issues in Large Vocabulary, Multilingual Speech Recognition. (1995) authored by Lori Lamel. Martine Adda-Decker et al.: On the use of speech and text corpora for speech recognition in French. (1998) authored by Lori Lamel. Hynek Hermansky et al.: Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. (2021) edited by Lori Lamel. Lori Lamel: Language diversity: speech processing in a multi-lingual context. (2014) authored by Lori Lamel. Gerasimos Potamianos et al.: Automatic Speech Recognition. (2009) authored by Lori Lamel. Martine Adda-Decker and Lori Lamel: Pronunciation variants across system configuration, language and speaking style. (1999) authored by Lori Lamel. Ioana Vasilescu et al.: A perceptual investigation of speech transcription errors involving frequent near-homophones in French and american English. (2009) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Are audio or textual training data more important for ASR in less-represented languages? (2008) authored by Lori Lamel. Joseph-Jean Mariani et al.: Comments on \\\"Towards increasing speech recognition error rates\\\" by H. Bourlard, H. Hermansky, and N. Morgan. (1996) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Identifying non-linguistic speech features. (1993) authored by Lori Lamel. Yaru Wu et al.: Using a Knowledge Base to Automatically Annotate Speech Corpora and to Identify Sociolinguistic Variation. (2022) authored by Lori Lamel. Lori Lamel and Gilles Adda: On designing pronunciation lexicons for large vocabulary, continuous speech recognition. (1996) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Speaker verification over the telephone. (2000) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Language identification using phone-based acoustic likelihoods. (1994) authored by Lori Lamel. Lori Lamel et al.: Towards best practice in the development and evaluation of speech recognition components of a spoken language dialog system. (2000) authored by Lori Lamel. Lori Lamel et al.: Speech transcription in multiple languages. (2004) authored by Lori Lamel. Lori Lamel et al.: Spoken language processing in a multilingual context. (1996) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Speaker recognition with the Switchboard corpus. (1997) authored by Lori Lamel. Lori Lamel et al.: Considerations in the design and evaluation of spoken language dialog systems. (2000) authored by Lori Lamel. Fabrice Lefèvre et al.: Genericity and portability for task-independent speech recognition. (2005) authored by Lori Lamel{'author_wikipedia_text': 'Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals. She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d\\\\'Informatique pour la Mécanique et les Sciences de l\\\\'Ingénieur\",\n \"plain\": \"Lori Lamel is Author. Lori Lamel modified 2023-10-18. Lori Lamel citedByCount 7352. Lori Lamel written paper amount in year2012: 19. Lori Lamel written paper amount in year2012: 19. Lori Lamel written paper amount in year2013: 21. Lori Lamel written paper amount in year2013: 21. Lori Lamel written paper amount in year2014: 31. Lori Lamel written paper amount in year2014: 31. Lori Lamel written paper amount in year2015: 10. Lori Lamel written paper amount in year2015: 10. Lori Lamel written paper amount in year2016: 21. Lori Lamel written paper amount in year2016: 21. Lori Lamel written paper amount in year2017: 15. Lori Lamel written paper amount in year2017: 15. Lori Lamel written paper amount in year2018: 17. Lori Lamel written paper amount in year2018: 17. Lori Lamel written paper amount in year2019: 12. Lori Lamel written paper amount in year2019: 12. Lori Lamel written paper amount in year2020: 15. Lori Lamel written paper amount in year2020: 15. Lori Lamel written paper amount in year2021: 17. Lori Lamel written paper amount in year2021: 17. Lori Lamel written paper amount in year2022: 8. Lori Lamel written paper amount in year2022: 8. Lori Lamel written paper amount in year2023: 4. Lori Lamel written paper amount in year2023: 4. Lori Lamel worksCount 433. Lori Lamel name Lori Lamel. Lori Lamel member of University of Paris-Saclay. Lori Lamel h-index 37. Lori Lamel 2YrMeanCitedness 0.1875. Lori Lamel alternativeName L F. Lamel. Lori Lamel alternativeName L. F. Lamel. Lori Lamel alternativeName L. Lamel. Lori Lamel alternativeName Lori F. Lamel. Lori Lamel alternativeName Lori Faith Lamel. Lori Lamel alternativeName Lori Lamel. Lori Lamel i10Index 141. Lori Lamel orcidId https://orcid.org/0000-0001-7443-9938. Lori Lamel is Creator. Lori Lamel is Person. Lori Lamel link http://www.wikidata.org/entity/Q102804639. Lori Lamel affiliation LIMSI - Computer Science Laboratory for Mechanics and Engineering Sciences, Orsay, France. Lori Lamel link http://www.limsi.fr/~lamel/. Lori Lamel primary affiliation LIMSI - Computer Science Laboratory for Mechanics and Engineering Sciences, Orsay, France. Lori Lamel link http://www.limsi.fr/~lamel/. Lori Lamel link https://scholar.google.com/citations?user=TIctiQ4AAAAJ. Lori Lamel link https://dl.acm.org/profile/81100126639. Lori Lamel link https://mathgenealogy.org/id.php?id=227138. Lori Lamel link https://en.wikipedia.org/wiki/Lori_Lamel. Yaru Wu et al.: Tone Realization in Mandarin Speech: A Large Corpus Based Study of Disyllabic Words. (2021) authored by Lori Lamel. Martine Adda-Decker et al.: Speech alignment and recognition experiments for Luxembourgish. (2014) authored by Lori Lamel. Martine Adda-Decker et al.: Initializing acoustic phone models of under-resourced languages: a case-study of Luxembourgish. (2010) authored by Lori Lamel. Gilles Adda et al.: Breaking the Unwritten Language Barrier: The BULB Project. (2016) authored by Lori Lamel. Cong-Thanh Do et al.: Speech-to-text development for Slovak, a low-resourced language. (2014) authored by Lori Lamel. Thiago Fraga-Silva et al.: Incorporating MLP features in the unsupervised training process. (2012) authored by Lori Lamel. William Hartmann et al.: Cross-word sub-word units for low-resource keyword spotting. (2014) authored by Lori Lamel. Mathilde Hutin et al.: Lenition and Fortition of Stop Codas in Romanian. (2020) authored by Lori Lamel. Lori Lamel et al.: Transcription of Russian conversational speech. (2012) authored by Lori Lamel. Lori Lamel and Bianca Vieru: Development of a speech-to-text transcription system for Finnish. (2010) authored by Lori Lamel. Antoine Laurent and Lori Lamel: Development of a Korean speech recognition system with little annotated data. (2014) authored by Lori Lamel. Rasa Lileikyte et al.: Lithuanian Broadcast Speech Transcription Using Semi-supervised Acoustic Model Training. (2016) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Are audio or textual training data more important for ASR in less-represented languages? (2008) authored by Lori Lamel. Ioana Vasilescu et al.: Exploring pronunciation variants for Romanian speech-to-text transcription. (2014) authored by Lori Lamel. Martine Adda-Decker et al.: Studying Luxembourgish Phonetics via Multilingual Forced Alignments. (2011) authored by Lori Lamel. Théo Deschamps-Berger et al.: Investigating Transformer Encoders and Fusion Strategies for Speech Emotion Recognition in Emergency Call Center Conversations. (2022) authored by Lori Lamel. Théo Deschamps-Berger et al.: Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations. (2023) authored by Lori Lamel. Thiago Fraga-Silva et al.: Lattice-based unsupervised acoustic model training. (2011) authored by Lori Lamel. Guangpu Huang et al.: An investigation into language model data augmentation for low-resourced STT and KWS. (2017) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Alternate Phone Models for Conversational Speech. (2005) authored by Lori Lamel. Lori Faith Lamel and Jean-Luc Gauvain: Cross-lingual experiments with phone recognition. (1993) authored by Lori Lamel. Lori Lamel et al.: Unsupervised acoustic model training. (2002) authored by Lori Lamel. Lori Lamel et al.: The LIMSI 2006 TC-STAR EPPS Transcription Systems. (2007) authored by Lori Lamel. Lori Faith Lamel and Victor W. Zue: Properties of consonant sequences within words and across word boundaries. (1984) authored by Lori Lamel. Victor W. Zue and Lori Lamel: An expert spectrogram reader: A knowledge-based approach to speech recognition. (1986) authored by Lori Lamel. Lori Faith Lamel et al.: The LIMSI ARISE system for train travel information. (1999) authored by Lori Lamel. Anisia Popescu et al.: Typological classification of European Portuguese fricatives: a cross-language forced alignment and pronunciation variants study. (2023) authored by Lori Lamel. Julien Despres et al.: The Vocapia Research ASR Systems for Evalita 2011. (2011) authored by Lori Lamel. Matthijs Douze et al.: The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection. (2014) authored by Lori Lamel. Cristobal Corredor-Ardoy et al.: Multilingual phone recognition of spontaneous telephone speech. (1998) authored by Lori Lamel. Richard M. Schwartz et al.: Speech recognition in multiple languages and domains: the 2003 BBN/LIMSI EARS system. (2004) authored by Lori Lamel. Lori Faith Lamel and Victor W. Zue: Performance improvement in a dynamic-programming-based isolated word recognition system for the alpha-digit task. (1982) authored by Lori Lamel. Langzhou Chen et al.: Lightly supervised acoustic model training using consensus networks. (2004) authored by Lori Lamel. Jean-Luc Gauvain et al.: Conversational telephone speech recognition. (2003) authored by Lori Lamel. Jun Luo et al.: Modeling characters versuswords for mandarin speech recognition. (2009) authored by Lori Lamel. Lori Lamel et al.: The LIMSI RT06s Lecture Transcription System. (2006) authored by Lori Lamel. Xuan Zhu et al.: Speaker Diarization: From Broadcast News to Lectures. (2006) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Fusing language information from diverse data sources for phonotactic language recognition. (2012) authored by Lori Lamel. Gregory Gelly et al.: Language Recognition for Dialects and Closely Related Languages. (2016) authored by Lori Lamel. Thiago Fraga-Silva et al.: Improving data selection for low-resource STT and KWS. (2015) authored by Lori Lamel. William Hartmann et al.: Acoustic unit discovery and pronunciation generation from a grapheme-based lexicon. (2013) authored by Lori Lamel. Damianos G. Karakos et al.: Score normalization and system combination for improved keyword spotting. (2013) authored by Lori Lamel. Rasa Lileikyte et al.: Conversational Telephone Speech Recognition for Lithuanian. (2015) authored by Lori Lamel. Antoine Laurent et al.: Unsupervised acoustic model training for the Korean language. (2014) authored by Lori Lamel. Ilya Oparin et al.: Improving Mandarin Chinese STT system with Random Forests language models. (2010) authored by Lori Lamel. Petr Fousek et al.: On the Use of MLP Features for Broadcast News Transcription. (2008) authored by Lori Lamel. Claude Barras et al.: The CLEAR'06 LIMSI Acoustic Speaker Identification System for CHIL Seminars. (2006) authored by Lori Lamel. Claude Barras et al.: Acoustic Speaker Identification: The LIMSI CLEAR'07 System. (2007) authored by Lori Lamel. Lori Lamel et al.: The LIMSI RT07 Lecture Transcription System. (2007) authored by Lori Lamel. Xuan Zhu et al.: Multi-stage Speaker Diarization for Conference and Lecture Meetings. (2007) authored by Lori Lamel. Martine Adda-Decker et al.: Developments in large vocabulary, continuous speech recognition of German. (1996) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Language identification using phone-based acoustic likelihoods. (1994) authored by Lori Lamel. Fabrice Lefèvre et al.: Towards task-independent speech recognition. (2001) authored by Lori Lamel. Mark J. F. Gales et al.: Speech Recognition System Combination for Machine Translation. (2007) authored by Lori Lamel. Lori Lamel et al.: Investigating lightly supervised acoustic model training. (2001) authored by Lori Lamel. Antoine Laurent et al.: Investigating techniques for low resource conversational speech recognition. (2016) authored by Lori Lamel. Viet Bac Le et al.: Multi-style MLP features for BN transcription. (2010) authored by Lori Lamel. Ilya Oparin et al.: Rapid development of a Latvian speech-to-text system. (2013) authored by Lori Lamel. Martine Adda-Decker et al.: Large vocabulary speech recognition in French. (1999) authored by Lori Lamel. Jean-Luc Gauvain et al.: The LIMSI SDR System for TREC-8. (1999) authored by Lori Lamel. Jean-Luc Gauvain et al.: The LIMSI SDR System for TREC-9. (2000) authored by Lori Lamel. Filip Povolný et al.: Multimodal Emotion Recognition for AVEC 2016 Challenge. (2016) authored by Lori Lamel. Djegdjiga Amazouz et al.: Addressing Code-Switching in French/Algerian Arabic Speech. (2017) authored by Lori Lamel. Thiago Fraga-Silva et al.: Active learning based data selection for limited resource STT and KWS. (2015) authored by Lori Lamel. Mathilde Hutin et al.: When Phonetics Meets Morphology: Intervocalic Voicing Within and Across Words in Romance Languages. (2022) authored by Lori Lamel. Lori Lamel and Gilles Adda: On designing pronunciation lexicons for large vocabulary, continuous speech recognition. (1996) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: High performance speaker-independent phone recognition using CDHMM. (1993) authored by Lori Lamel. Lori Lamel et al.: Development of spoken language corpora for travel information. (1995) authored by Lori Lamel. Fabrice Lefèvre et al.: Improving genericity for task-independent speech recognition. (2001) authored by Lori Lamel. Rohit Prasad et al.: The 2004 BBN/LIMSI 20xRT English conversational telephone speech recognition system. (2005) authored by Lori Lamel. Margaret E. L. Renwick et al.: Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load. (2016) authored by Lori Lamel. Anindya Roy et al.: Some issues affecting the transcription of Hungarian broadcast audio. (2013) authored by Lori Lamel. Jane Wottawa et al.: Studying Vowel Variation in French-Algerian Arabic Code-switched Speech. (2018) authored by Lori Lamel. Martine Adda-Decker et al.: Investigating text normalization and pronunciation variants for German broadcast transcription. (2000) authored by Lori Lamel. Martine Adda-Decker and Lori Lamel: Do speech recognizers prefer female speakers? (2005) authored by Lori Lamel. Hélène Bonneau-Maynard et al.: A French version of the MIT-ATIS system: portability issues. (1993) authored by Lori Lamel. Dominic S. F. Chan et al.: EUROM - a spoken language resource for the EU - the SAM projects. (1995) authored by Lori Lamel. Jean-Luc Gauvain et al.: Partitioning and transcription of broadcast news data. (1998) authored by Lori Lamel. Penny Karanasou et al.: Discriminative training of a phoneme confusion model for a dynamic lexicon in ASR. (2013) authored by Lori Lamel. Lori Lamel et al.: Issues in Large Vocabulary, Multilingual Speech Recognition. (1995) authored by Lori Lamel. Lori Lamel et al.: User evaluation of the mask kiosk. (1998) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Identifying non-linguistic speech features. (1993) authored by Lori Lamel. Driss Matrouf et al.: Language identification incorporating lexical information. (1998) authored by Lori Lamel. Viet-Anh Tran et al.: Comparing Multi-Stage Approaches for Cross-Show Speaker Diarization. (2011) authored by Lori Lamel. Lori Lamel: Multilingual Speech Processing Activities in Quaero: Application to Multimedia Search in Unstructured Data. (2012) authored by Lori Lamel. Jean-Luc Gauvain et al.: Transcribing broadcast news shows. (1997) authored by Lori Lamel. Lori Faith Lamel and Jean-Luc Gauvain: Experiments on speaker-independent phone recognition using BREF. (1992) authored by Lori Lamel. Claude Barras et al.: Automatic transcription of compressed broadcast audio. (2001) authored by Lori Lamel. Guangpu Huang et al.: Machine translation based data augmentation for Cantonese keyword spotting. (2016) authored by Lori Lamel. Lori Lamel et al.: Improved models for Mandarin speech-to-text transcription. (2011) authored by Lori Lamel. Théo Deschamps-Berger et al.: End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings. (2021) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Experimental detection of vowel pronunciation variants in Amharic. (2006) authored by Lori Lamel. James K. Baker et al.: DRAGON Systems Resource Management Benchmark Results February 1991. (1991) authored by Lori Lamel. Jean-Luc Gauvain and Lori Lamel: Speaker-Independent Phone Recognition Using BREF. (1992) authored by Lori Lamel. Jean-Luc Gauvain and Lori Faith Lamel: Identification of Non-Linguistic Speech Features. (1993) authored by Lori Lamel. Jean-Luc Gauvain et al.: The LIMSI Continuous Speech Dictation Systemt. (1994) authored by Lori Lamel. Lori Lamel et al.: Portability Issues for Speech Recognition Technologies. (2001) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Context-dependent phone models and models adaptation for phonotactic language recognition. (2008) authored by Lori Lamel. Maria Candea et al.: Recent evolution of non-standard consonantal variants in French broadcast news. (2013) authored by Lori Lamel. Langzhou Chen et al.: Broadcast news transcription in Mandarin. (2000) authored by Lori Lamel. Jean-Luc Gauvain et al.: Where are we in transcribing French broadcast news? (2005) authored by Lori Lamel. Jean-Luc Gauvain and Lori Lamel: Fast decoding for indexation of broadcast data. (2000) authored by Lori Lamel. Jean-Luc Gauvain et al.: Transcription of broadcast news. (1997) authored by Lori Lamel. Jean-Luc Gauvain et al.: Experiments with speaker verification over the telephone. (1995) authored by Lori Lamel. Arseniy Gorin et al.: Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions. (2016) authored by Lori Lamel. Adèle Jatteau et al.: \\\" Gra[f] e!\\\" Word-Final Devoicing of Obstruents in Standard French: An Acoustic Study Based on Large Corpora. (2019) authored by Lori Lamel. Lori Lamel et al.: Spoken language processing in a multilingual context. (1996) authored by Lori Lamel. Lori Lamel et al.: Considerations in the design and evaluation of spoken language dialog systems. (2000) authored by Lori Lamel. Driss Matrouf et al.: Comparing different model configurations for language identification using a phonotactic approach. (1999) authored by Lori Lamel. Leo Wanner et al.: Towards a Multimedia Knowledge-Based Agent with Social Competence and Human Interaction Capabilities. (2016) authored by Lori Lamel. Gerasimos Potamianos et al.: Automatic Speech Recognition. (2009) authored by Lori Lamel. Lori Lamel et al.: Speech recognition for machine translation in Quaero. (2011) authored by Lori Lamel. Natalia Segal et al.: LIMSI English-French speech translation system. (2014) authored by Lori Lamel. Djegdjiga Amazouz et al.: The French-Algerian Code-Switching Triggered audio corpus (FACST). (2018) authored by Lori Lamel. Laurence Devillers et al.: Annotations for Dynamic Diagnosis of the Dialog State. (2002) authored by Lori Lamel. Pierre Godard et al.: A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments. (2018) authored by Lori Lamel. Lori Lamel et al.: A multilingual corpus for language identification. (1998) authored by Lori Lamel. Yaru Wu et al.: Extracting Linguistic Knowledge from Speech: A Study of Stop Realization in 5 Romance Languages. (2022) authored by Lori Lamel. Thiago Fraga-Silva et al.: Speech recognition of multiple accented English data using acoustic model interpolation. (2014) authored by Lori Lamel. Jean-Luc Gauvain and Lori Lamel: Large-vocabulary continuous speech recognition: advances and applications. (2000) authored by Lori Lamel. Jodie Gauvain et al.: Challenges in Audio Processing of Terrorist-Related Data. (2019) authored by Lori Lamel. Panagiota Karanasou and Lori Lamel: Comparing SMT Methods for Automatic Generation of Pronunciation Variants. (2010) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Speech Processing for Audio Indexing. (2008) authored by Lori Lamel. Ilya Oparin et al.: Large-Scale Language Modeling with Random Forests for Mandarin Chinese Speech-to-Text. (2010) authored by Lori Lamel. Théo Deschamps-Berger et al.: Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus. (2023) authored by Lori Lamel. Rasa Lileikyte et al.: Effective keyword search for low-resourced conversational speech. (2017) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Gaussian Backend design for open-set language detection. (2009) authored by Lori Lamel. Langzhou Chen et al.: Unsupervised language model adaptation for broadcast news. (2003) authored by Lori Lamel. Jean-Luc Gauvain et al.: Developments in continuous speech dictation using the ARPA WSJ task. (1995) authored by Lori Lamel. Jean-Luc Gauvain et al.: Transcription and indexation of broadcast data. (2000) authored by Lori Lamel. Claude Barras et al.: Transcribing audio-video archives. (2002) authored by Lori Lamel. Jean-Luc Gauvain et al.: The LIMSI continuous speech dictation system: evaluation on the ARPA Wall Street Journal task. (1994) authored by Lori Lamel. Jean-Luc Gauvain et al.: Developments in continuous speech dictation using the 1995 ARPA NAB news task. (1996) authored by Lori Lamel. Panagiota Karanasou and Lori Lamel: Pronunciation variants generation using SMT-inspired approaches. (2011) authored by Lori Lamel. Abdelkhalek Messaoudi et al.: Arabic Broadcast News Transcription Using a One Million Word Vocalized Vocabulary. (2006) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Speaker recognition with the Switchboard corpus. (1997) authored by Lori Lamel. Lori Lamel et al.: Speech transcription in multiple languages. (2004) authored by Lori Lamel. Martine Adda-Decker et al.: A First LVCSR System for Luxembourgish, a Low-Resourced European Language. (2011) authored by Lori Lamel. Sebastian Schmiedeke et al.: Blip10000: a social video dataset containing SPUG content for tagging and retrieval. (2013) authored by Lori Lamel. Panagiota Karanasou and Lori Lamel: Automatic Generation of a Pronunciation Dictionary with Rich Variation Coverage Using SMT Methods. (2011) authored by Lori Lamel. Martine Adda-Decker et al.: On the use of speech and text corpora for speech recognition in French. (1998) authored by Lori Lamel. Laila Dybkjær et al.: The disc approach to spoken language systems development and evaluation. (1998) authored by Lori Lamel. Martine Garnier-Rizet et al.: CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and Query by Content. (2008) authored by Lori Lamel. Lori Lamel et al.: Question Answering on Speech Transcriptions: the QAST evaluation in CLEF. (2008) authored by Lori Lamel. Thomas Lavergne et al.: Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish. (2014) authored by Lori Lamel. Daniel Luzzati et al.: Human annotation of ASR error regions: Is \\\"gravity\\\" a sharable concept for human annotators? (2014) authored by Lori Lamel. Nicolas Moreau et al.: Evaluation Protocol and Tools for Question-Answering on Speech Transcripts. (2010) authored by Lori Lamel. Annie Rialland et al.: Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville). (2018) authored by Lori Lamel. Ioana Vasilescu et al.: Cross-lingual studies of ASR errors: paradigms for perceptual evaluations. (2012) authored by Lori Lamel. Yaru Wu et al.: Using a Knowledge Base to Automatically Annotate Speech Corpora and to Identify Sociolinguistic Variation. (2022) authored by Lori Lamel. William Hartmann et al.: Efficient rule scoring for improved grapheme-based lexicons. (2014) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Automatic processing of broadcast audio in multiple languages. (2002) authored by Lori Lamel. Jordi Turmo et al.: Overview of QAST 2007. (2007) authored by Lori Lamel. Jordi Turmo et al.: Overview of QAST 2008. (2008) authored by Lori Lamel. Jordi Turmo et al.: Overview of QAST 2008. (2008) authored by Lori Lamel. Martine Adda-Decker et al.: La liaison dans la parole spontanée familière : explorations semi-automatiques de grands corpus (French Liaison in casual speech : automatic and manual investigations) [in French]. (2012) authored by Lori Lamel. Mathilde Hutin et al.: Lénition et fortition des occlusives en coda finale dans deux langues romanes : le français et le roumain (Lenition and fortition of word-final stops in two Romance languages: French and Romanian). (2020) authored by Lori Lamel. Sophie Rosset and Lori Lamel: Gestionnaire de dialogue pour un système d'informations à reconnaissance vocale. (2001) authored by Lori Lamel. Ioana Vasilescu et al.: Réalisation phonétique et contraste phonologique marginal : une étude automatique des voyelles du roumain (Phonetic realization and marginal phonemic contrast : an automatic study of the Romanian vowels). (2016) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Language score calibration using adapted Gaussian back-end. (2009) authored by Lori Lamel. Jamison Cooper-Leavitt et al.: Developing an Embosi (Bantu C25) Speech Variant Dictionary to Model Vowel Elision and Morpheme Deletion. (2017) authored by Lori Lamel. Cristobal Corredor-Ardoy et al.: Language identification with language-independent acoustic models. (1997) authored by Lori Lamel. Petr Fousek et al.: Transcribing broadcast data using MLP features. (2008) authored by Lori Lamel. Jean-Luc Gauvain et al.: Recent advances in transcribing television and radio broadcasts. (1999) authored by Lori Lamel. Jean-Luc Gauvain et al.: Design considerations and text selection for BREF, a large French read-speech corpus. (1990) authored by Lori Lamel. William Hartmann et al.: Comparing decoding strategies for subword-based keyword spotting in low-resourced languages. (2014) authored by Lori Lamel. Jáchym Kolár and Lori Lamel: Development and Evaluation of Automatic Punctuation for French and English Speech-to-Text. (2012) authored by Lori Lamel. Lori Lamel: Language diversity: speech processing in a multi-lingual context. (2014) authored by Lori Lamel. Lori Lamel et al.: Improved acoustic modeling for transcribing Arabic broadcast data. (2007) authored by Lori Lamel. Lori Lamel et al.: The translanguage English database (TED). (1994) authored by Lori Lamel. Viet Bac Le et al.: Developing STT and KWS systems using limited language resources. (2014) authored by Lori Lamel. Els den Os et al.: Overview of the ARISE project. (1999) authored by Lori Lamel. Valentina Vapnarsky et al.: Analysing rhythm in ritual discourse in yucatec maya using automatic speech alignment. (2015) authored by Lori Lamel. Ioana Vasilescu et al.: A perceptual investigation of speech transcription errors involving frequent near-homophones in French and american English. (2009) authored by Lori Lamel. Ioana Vasilescu et al.: Cross-Lingual Study of ASR Errors: On the Role of the Context in Human Perception of Near-Homophones. (2011) authored by Lori Lamel. Jean-Luc Gauvain et al.: Processing Broadcast Audio for Information Access. (2001) authored by Lori Lamel. Laurence Devillers et al.: Emotion detection in task-oriented spoken dialogues. (2003) authored by Lori Lamel. Jordi Turmo et al.: Overview of QAST 2007. (2007) authored by Lori Lamel. Frédéric Bimbot et al.: INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25-29, 2013 (2013) edited by Lori Lamel. Hynek Hermansky et al.: Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. (2021) edited by Lori Lamel. Martine Adda-Decker et al.: Comparing mono- & multilingual acoustic seed models for a low e-resourced language: a case-study of luxembourgish. (2010) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Improved n-gram phonotactic models for language recognition. (2010) authored by Lori Lamel. Samir Bennacef et al.: A spoken language system for information retrieval. (1994) authored by Lori Lamel. Samir Bennacef et al.: Dialog in the RAILTEL telephone-based system. (1996) authored by Lori Lamel. Langzhou Chen et al.: Dynamic language modeling for broadcast news. (2004) authored by Lori Lamel. Mathilde Hutin et al.: Ongoing Phonologization of Word-Final Voicing Alternations in Two Romance Languages: Romanian and French. (2020) authored by Lori Lamel. Fabrice Lefèvre et al.: Multi-source training and adaptation for generic speech recognition. (2003) authored by Lori Lamel. Abdelkhalek Messaoudi et al.: Transcription of arabic broadcast news. (2004) authored by Lori Lamel. Cécile Woehrling et al.: A corpus-based prosodic study of Alsatian, Belgian and Swiss French. (2008) authored by Lori Lamel. Spyridon Matsoukas et al.: Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system. (2006) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Automatic Word Decompounding for ASR in a Morphologically Rich Language: Application to Amharic. (2009) authored by Lori Lamel. Théo Deschamps-Berger et al.: Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus. (2023) authored by Lori Lamel. Julien Law-To et al.: A Scalable Video Search Engine Based on Audio Content Indexing and Topic Segmentation (2011) authored by Lori Lamel. Mohamed Faouzi BenZeghiba et al.: Phonotactic Language Recognition Using MLP Features. (2012) authored by Lori Lamel. Jean-Luc Gauvain et al.: Speaker-independent continuous speech dictation. (1993) authored by Lori Lamel. Jáchym Kolár and Lori Lamel: On Development of Consistently Punctuated Speech Corpora. (2011) authored by Lori Lamel. Lori Lamel et al.: Transcribing lectures and seminars. (2005) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Investigating automatic decomposition for ASR in less represented languages. (2006) authored by Lori Lamel. Thomas Pellegrini and Lori Lamel: Using phonetic features in unsupervised word decompounding for ASR with application to a less-represented language. (2007) authored by Lori Lamel. Peter Roach et al.: BABEL: an eastern european multi-language database. (1996) authored by Lori Lamel. Sophie Rosset and Lori Lamel: Automatic detection of dialog acts based on multilevel information. (2004) authored by Lori Lamel. Ioana Vasilescu et al.: Exploring Temporal Reduction in Dialectal Spanish: A Large-scale Study of Lenition of Voiced Stops and Coda-s. (2018) authored by Lori Lamel. Panagiota Karanasou et al.: Measuring the Confusability of Pronunciations in Speech Recognition. (2011) authored by Lori Lamel. Laurence Devillers et al.: Challenges in real-life emotion annotation and machine learning based detection. (2005) authored by Lori Lamel. Jean-Luc Gauvain et al.: Transcribing Broadcast News for Audio and Video Indexing. (2000) authored by Lori Lamel. Jean-Luc Gauvain et al.: Advances in Large Vocabulary Speech Recognition. (2002) authored by Lori Lamel. Lori Faith Lamel: A knowledge-based system for stop consonant identification based on speech spectrogram reading. (1993) authored by Lori Lamel. Lori Faith Lamel and Jean-Luc Gauvain: A phone-based approach to non-linguistic speech feature identification. (1995) authored by Lori Lamel. Lori Lamel et al.: Lightly supervised and unsupervised acoustic model training. (2002) authored by Lori Lamel. Fabrice Lefèvre et al.: Genericity and portability for task-independent speech recognition. (2005) authored by Lori Lamel. Rasa Lileikyte et al.: Conversational telephone speech recognition for Lithuanian. (2018) authored by Lori Lamel. Steve J. Young et al.: Multilingual large vocabulary speech recognition: the European SQALE project. (1997) authored by Lori Lamel. Martine Adda-Decker and Lori Lamel: Pronunciation variants across system configuration, language and speaking style. (1999) authored by Lori Lamel. Martine Adda-Decker et al.: Investigating syllabic structures and their variation in spontaneous French. (2005) authored by Lori Lamel. Roberto Billi and Lori Lamel: RailTel: Railway Telephone Services. (1997) authored by Lori Lamel. Jean-Luc Gauvain et al.: The LIMSI Broadcast News transcription system. (2002) authored by Lori Lamel. Jean-Luc Gauvain et al.: Speaker-independent continuous speech dictation. (1994) authored by Lori Lamel. Lori Lamel et al.: User evaluation of the MASK kiosk. (2002) authored by Lori Lamel. Lori Lamel et al.: The LIMSI RailTel System: Field trial of a telephone service for rail travel information. (1997) authored by Lori Lamel. Lori Lamel and Jean-Luc Gauvain: Speaker verification over the telephone. (2000) authored by Lori Lamel. Lori Lamel et al.: The LIMSI ARISE system. (2000) authored by Lori Lamel. Joseph-Jean Mariani et al.: Comments on \\\"Towards increasing speech recognition error rates\\\" by H. Bourlard, H. Hermansky, and N. Morgan. (1996) authored by Lori Lamel. David S. Pallett and Lori Lamel: Automatic transcription of Broadcast News data. (2002) authored by Lori Lamel. David S. Pallett and Lori Lamel: Corrigendum to \\\"Editorial\\\" [Speech Communication 37 (2002) (1-2)]. (2002) authored by Lori Lamel. Sophie Rosset et al.: Multi-level information and automatic dialog act detection in human-human spoken dialogs. (2008) authored by Lori Lamel. Yaru Wu et al.: Mandarin lexical tone duration: Impact of speech style, word length, syllable position and prosodic position. (2023) authored by Lori Lamel. Jean-Luc Gauvain et al.: Audio Partitioning and Transcription for Broadcast Data Indexation. (2001) authored by Lori Lamel. Théo Deschamps-Berger et al.: Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations. (2023) authored by Lori Lamel. Lori Faith Lamel: Formalizing knowledge used in spectrogram reading: acoustic and perceptual evidence from stops. (1988) authored by Lori Lamel. Julien Despres et al.: Modeling northern and southern varieties of dutch for STT. (2009) authored by Lori Lamel. Mathilde Hutin et al.: Synchronic Fortition in Five Romance Languages? A Large Corpus-Based Study of Word-Initial Devoicing. (2021) authored by Lori Lamel. Abdelkhalek Messaoudi et al.: Modeling vowels for Arabic BN transcription. (2005) authored by Lori Lamel. Sophie Rosset et al.: Design strategies for spoken language dialog systems. (1999) authored by Lori Lamel. Laura Spinu et al.: Voicing neutralization in Romanian fricatives across different speech styles. (2022) authored by Lori Lamel. Dimitra Vergyri et al.: Automatic speech recognition of multiple accented English data. (2010) authored by Lori Lamel. Yaru Wu et al.: Schwa Realization in French: Using Automatic Speech Processing to Study Phonological and Socio-Linguistic Factors in Large Corpora. (2017) authored by Lori Lamel. Yaru Wu et al.: Mandarin Lexical Tones: A Corpus-Based Study of Word Length, Syllable Position and Prosodic Position on Duration. (2020) authored by Lori Lamel. Gilles Adda et al.: Text normalization and speech recognition in French. (1997) authored by Lori Lamel. Langzhou Chen et al.: Using information retrieval methods for language model adaptation. (2001) authored by Lori Lamel. Thiago Fraga-Silva et al.: Interpolation of acoustic models for speech recognition. (2013) authored by Lori Lamel. Jean-Luc Gauvain et al.: Speech recognition for an information kiosk. (1996) authored by Lori Lamel. Jean-Luc Gauvain et al.: Continuous speech dictation in French. (1994) authored by Lori Lamel. Lori Lamel et al.: Speaker diarization from speech transcripts. (2004) authored by Lori Lamel. Lori Lamel et al.: Investigating morphological decomposition for transcription of Arabic broadcast news and broadcast conversation data. (2008) authored by Lori Lamel. Andrew Life et al.: Data collection for the MASK kiosk: WOz vs prototype system. (1996) authored by Lori Lamel. Qingqing Zhang et al.: Genre Categorization and Modeling for Broadcast Speech Transcription. (2011) authored by Lori Lamel. Benjamin Elie et al.: Modeling the Effect of Military Oxygen Masks on Speech Characteristics. (2021) authored by Lori Lamel. Ioana Vasilescu et al.: Large scale data based linguistic investigations using speech technology tools: The case of Romanian. (2015) authored by Lori Lamel. Jean-Luc Gauvain et al.: Speech-To-Text Conversion in French. (1994) authored by Lori Lamel. Jean-Luc Gauvain and Lori Lamel: Structuring Broadcast Audio for Information Access. (2003) authored by Lori Lamel. Jerry Goldman et al.: Accessing the spoken word. (2005) authored by Lori Lamel. Théo Deschamps-Berger et al.: End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings. (2021) authored by Lori Lamel. Lori Lamel et al.: Towards best practice in the development and evaluation of speech recognition components of a spoken language dialog system. (2000) authored by Lori Lamel. Lori Lamel et al.: Automatic Speech-to-Text Transcription in Arabic. (2009) authored by Lori Lamel. Pierre Godard et al.: A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments. (2017) authored by Lori Lamel. Alexander Waibel et al.: Computers in the Human Interaction Loop. (2010) authored by Lori Lamel{'author_wikipedia_text': 'Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals. She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d\\\\'Informatique pour la Mécanique et les Sciences de l\\\\'Ingénieur.\\\\nLamel was a student at the Massachusetts Institute of Technology (MIT), where she earned bachelor\\\\'s and master\\\\'s degrees in electrical engineering and computer science in 1980 as a co-op student with Bell Labs. She earned her Ph.D. at MIT in 1988, with the dissertation Formalizing Knowledge used in Spectrogram Reading: Acoustic and perceptual evidence from stops supervised by Victor Zue. She completed a habilitation in 2004 at Paris-Sud University.\\\\nShe was a visiting researcher at CNRS in 1989–1990, became a researcher for CNRS in 1991, and was promoted to senior researcher in 2005.\\\\nLamel was named a fellow of the International Speech Communication Association in 2015, \\\"for contributions to human-machine interaction via multilingual speech processing\\\". She was named a Fellow of the IEEE in 2021, \\\"for contributions to automatic speech recognition\\\".'}\",\n \"verbalizer_on_all_triples\": \"Lori Lamel's written paper amount in year 2012 is 19.\\nLori Lamel's written paper amount in year 2013 is 21.\\nLori Lamel's written paper amount in year 2014 is 31.\\nLori Lamel wrote 10 papers in 2015.\\nLori Lamel's written paper amount in year 2016 is 21.\\nLori Lamel's written paper amount in year 2017 is 15.\\nLori Lamel's written paper amount in year 2018 is 17.\\nLori Lamel's written paper amount in year 2019 is 12.\\nLori Lamel's written paper amount in year 2020 is 15.\\nLori Lamel's written paper amount in year2021 is 17.\\nLori Lamel has a written paper amount of 8 in year 2022.\\nLori Lamel has a written paper amount of 4 in year2023.\\nLori Lamel has a 2YrMeanCitedness of 0.1875.\\nLori Lamel is affiliated with the LIMSI - Computer Science Laboratory for Mechanics and Engineering Sciences, Orsay, France.\\nThe alternative name for Lori Lamel is \\\"Lori F. Lamel, L. F. Lamel, Lori Faith Lamel, L. Lamel, Lori Lamel\\\".\\nFabrice Lefèvre et al.: Improving genericity for task-independent speech recognition. (2001), Ioana Vasilescu et al.: Large scale data based linguistic investigations using speech technology tools: The case of Romanian. (2015), Thiago Fraga-Silva et al.: Lattice-based unsupervised acoustic model training. (2011), Qingqing Zhang et al.: Genre Categorization and Modeling for\\nLori Lamel has cited ByCount of 7352.\\nFrédéric Bimbot et al.: INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25-29, 2013 (2013) is edited by Lori Lamel. Hynek Hermansky et al.: Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. (2021).\\nLori Lamel has an h-index of 37.\\nLori Lamel's i10Index is 141.\\nLori Lamel is the creator and the author.\\nLori Lamel's link is \\\"https://mathgenealogy.org/id.php?id=227138, https://dl.acm.org/profile/81100126639, https://en.wikipedia.org/wiki/Lori_Lamel, https://scholar.google.com/citations?user=TIctiQ4AAAAJ, http://www.limsi.fr/<unk>lamel/, http://www\\nLori Lamel is a member of the University of Paris-Saclay.\\nLori Lamel was modified on 2023-10-18.\\nLori Lamel's name is Lori Lamel.\\nLori Lamel's orcidId is https://orcid.org/0000-0001-7443-9938.\\nLori Lamel's primary affiliation is the LIMSI - Computer Science Laboratory for Mechanics and Engineering Sciences, Orsay, France.\\nLori Lamel has 433 works.{'author_wikipedia_text': 'Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals. She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d\\\\'Informatique pour la Mécanique et les Sciences de l\\\\'Ingénieur.\\\\nLamel was a student at the Massachusetts Institute of Technology (MIT), where she earned bachelor\\\\'s and master\\\\'s degrees in electrical engineering and computer science in 1980 as a co-op student with Bell Labs. She earned her Ph.D. at MIT in 1988, with the dissertation Formalizing Knowledge used in Spectrogram Reading: Acoustic and perceptual evidence from stops supervised by Victor Zue. She completed a habilitation in 2004 at Paris-Sud University.\\\\nShe was a visiting researcher at CNRS in 1989–1990, became a researcher for CNRS in 1991, and was promoted to senior researcher in 2005.\\\\nLamel was named a fellow of the International Speech Communication Association in 2015, \\\"for contributions to human-machine interaction via multilingual speech processing\\\". She was named a Fellow of the IEEE in 2021, \\\"for contributions to automatic speech recognition\\\".'}\",\n \"verbalizer_plus_evidence_matching\": \"Lori Lamel and Jean-Luc Gauvain: Speaker recognition with the Switchboard corpus. (1997), Joseph-Jean Mariani et al.: Comments on \\\"Towards increasing speech recognition error rates\\\" by H. Bourlard, H. Hermansky, and N. Morgan. (1996), Martine Adda-Decker and Lori Lamel: Pronunciation variants across system configuration, language and speaking style. (1999), Panagiota Karanasou et al\\nFrédéric Bimbot et al.: INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25-29, 2013 (2013) is edited by Lori Lamel. Hynek Hermansky et al.: Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. (2021).{'author_wikipedia_text': 'Lori Faith Lamel is a speech processing researcher known for her work with the TIMIT corpus of American English speech and for her work on voice activity detection, speaker recognition, and other non-linguistic inferences from speech signals. She works for the French National Centre for Scientific Research (CNRS) as a senior research scientist in the Spoken Language Processing Group of the Laboratoire d\\\\'Informatique pour la Mécanique et les Sciences de l\\\\'Ingénieur\"\n}"}}},{"rowIdx":91,"cells":{"id":{"kind":"string","value":"f944e780-1e7a-48d1-b4f5-9020e461e7d2"},"triples_number":{"kind":"number","value":424,"string":"424"},"question":{"kind":"string","value":"What is the cited by count of the institution where the writer of 'A Survey of Face Recognition Techniques' is affiliated?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hamid R. Arabnia\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Hamid R. Arabnia\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Hamid R. 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Hamid R. Arabnia citedByCount 3129. Hamid R. Arabnia link http://www.cs.uga.edu/~hra/. Hamid R. Arabnia link http://www.cs.uga.edu/~hra/. Ananda S. Chowdhury and Hamid R. Arabnia: A Comprehensive Study of Stereo Correlation Performance. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia h-index 28. Hamid R. Arabnia: High-Performance Computing and Applications in Image Processing and Computer Vision. (1997) authored by Hamid R. Arabnia. Hamid R. Arabnia link https://dl.acm.org/profile/81100065618. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia link https://dl.acm.org/profile/81487651909. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Parallel Stereocorrelation with Applications in Medical Imaging. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Gerald Schaefer: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2009, July 13-16, 2009, Las Vegas, Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Durga Yeluri et al.: Using Pattern Recognition Techniques in the Gait Analysis to Determine Osteoarthritis in Dogs. (2004) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh and Hamid R. Arabnia: DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Computer Vision, VISION 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia member of Franklin College. Hamid R. Arabnia link https://www.scopus.com/authid/detail.uri?authorId=7003910983. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia i10Index 58. Hamid R. Arabnia orcidId https://orcid.org/0000-0003-3943-0094. Ahmad Pahlavan Tafti et al.: OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. (2016) authored by Hamid R. Arabnia. Soheyla Amirian et al.: The Use of Video Captioning for Fostering Physical Activity. (2021) authored by Hamid R. Arabnia. Hamid R. Arabnia primary affiliation University of Georgia, Athens, USA. Matthias Wiemann and Hamid R. Arabnia: Stereo Images and Genetic Algorithms: Making Computers See Depth. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia written paper amount in year2019: 18. Hamid R. Arabnia written paper amount in year2019: 18. Saeid Safaei et al.: The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation. (2018) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Junfeng Qu et al.: PaperGuard: A Support Vector Machine Approach for Screening Machine Generated Papers. (2009) authored by Hamid R. Arabnia. Hamid R. Arabnia written paper amount in year2016: 12. Hamid R. Arabnia written paper amount in year2016: 12\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. {'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States\",\n \"plain\": \"Hamid R. Arabnia is Author. Hamid R. Arabnia modified 2023-10-18. Hamid R. Arabnia citedByCount 3129. Hamid R. Arabnia written paper amount in year2012: 3. Hamid R. Arabnia written paper amount in year2012: 3. Hamid R. Arabnia written paper amount in year2013: 7. Hamid R. Arabnia written paper amount in year2013: 7. Hamid R. Arabnia written paper amount in year2014: 26. Hamid R. Arabnia written paper amount in year2014: 26. Hamid R. Arabnia written paper amount in year2015: 30. Hamid R. Arabnia written paper amount in year2015: 30. Hamid R. Arabnia written paper amount in year2016: 12. Hamid R. Arabnia written paper amount in year2016: 12. Hamid R. Arabnia written paper amount in year2017: 16. Hamid R. Arabnia written paper amount in year2017: 16. Hamid R. Arabnia written paper amount in year2018: 20. Hamid R. Arabnia written paper amount in year2018: 20. Hamid R. Arabnia written paper amount in year2019: 18. Hamid R. Arabnia written paper amount in year2019: 18. Hamid R. Arabnia written paper amount in year2020: 27. Hamid R. Arabnia written paper amount in year2020: 27. Hamid R. Arabnia written paper amount in year2021: 28. Hamid R. Arabnia written paper amount in year2021: 28. Hamid R. Arabnia written paper amount in year2022: 17. Hamid R. Arabnia written paper amount in year2022: 17. Hamid R. Arabnia written paper amount in year2023: 7. Hamid R. Arabnia written paper amount in year2023: 7. Hamid R. Arabnia worksCount 380. Hamid R. Arabnia name Hamid R. Arabnia. Hamid R. Arabnia member of Franklin College. Hamid R. Arabnia h-index 28. Hamid R. Arabnia 2YrMeanCitedness 3.0909090042114257812. Hamid R. Arabnia alternativeName H. Arabnia. Hamid R. Arabnia alternativeName H. R. Arabnia. Hamid R. Arabnia alternativeName Hamid A Arabnia. Hamid R. Arabnia alternativeName Hamid Arabnia. Hamid R. Arabnia alternativeName Hamid R. Arabnia. Hamid R. Arabnia alternativeName Hamid Reza Arabnia. Hamid R. Arabnia i10Index 58. Hamid R. Arabnia orcidId https://orcid.org/0000-0003-3943-0094. Hamid R. Arabnia is Creator. Hamid R. Arabnia is Person. Hamid R. Arabnia link http://www.wikidata.org/entity/Q5644568. Hamid R. Arabnia affiliation University of Georgia, Athens, USA. Hamid R. Arabnia link http://www.cs.uga.edu/~hra/. Hamid R. Arabnia primary affiliation University of Georgia, Athens, USA. Hamid R. Arabnia link http://www.cs.uga.edu/~hra/. Hamid R. Arabnia link https://www.scopus.com/authid/detail.uri?authorId=7003910983. Hamid R. Arabnia link https://dl.acm.org/profile/81487651909. Hamid R. Arabnia link https://dl.acm.org/profile/81100065618. Hamid R. Arabnia link https://scholar.google.com/citations?user=g86VLOUAAAAJ. Hamid R. Arabnia link https://en.wikipedia.org/wiki/Hamid_Arabnia. Hamid R. Arabnia: A distributed stereocorrelation algorithm. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Jun Ni: Proceedings of The 2005 International Conference on Grid Computing and Applications, GCA 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Grid Computing & Applications, GCA 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Grid Computing & Applications, GCA 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Grid Computing & Applications, GCA 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of the 2009 International Conference on Grid Computing & Applications, GCA 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Grid Computing & Applications, GCA 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Anthony Scime: Proceedings of The 2005 International Conference on Data Mining, DMIN 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Robert Stahlbock et al.: Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Junfeng Qu and Hamid R. Arabnia: Mining Structural Changes in Financial Time Series with Gray System. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia and Homayoun Valafar: Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, BIOCOMP'06, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mary Qu Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: Algorithms for Computational Viral Extension - Direct and Inverse Problems. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1995, November 3-4, 1995, Georgia, USA (1995) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1996, August 9-11, 1996, Sunnyvale, California, USA (1996) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1997, June 30 - July 3, 1997, Las Vegas, Nevada, USA (1997) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 1999, June 28 - Junlly 1, 1999, Las Vegas, Nevada, USA (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2000, June 24-29, 2000, Las Vegas, Nevada, USA (2000) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 1 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 2 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 3 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 4 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 3 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 4 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Jun Ni: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 2 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 3 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 3 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, PDPTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, PDPTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, Volume 1 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, Volume 2 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008, Las Vegas, Nevada, USA, July 14-17, 2008, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2009, Las Vegas, Nevada, USA, July 13-17, 2009, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2010, Las Vegas, Nevada, USA, July 12-15, 2010, 2 Volumes (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Xiangjian He: Edge Detection Using MultiRing on Spiral Architecture. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Reconfigurable Ring-Based Network of Processors. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Parallel Stereocorrelation with Applications in Medical Imaging. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Jeffrey W. Smith: Emulation of a Parallel System Interconnection Network Implemented with Sockets. (1996) authored by Hamid R. Arabnia. Leonidas Deligiannidis and Hamid R. Arabnia: MRSIM: A Simulator for the MultiRing. (2005) authored by Hamid R. Arabnia. Xiangjian He and Hamid R. Arabnia: Parallel Edge Detection Using Uni-Directional MultiRing on Spiral Architecture. (2004) authored by Hamid R. Arabnia. Mary Qu Yang et al.: The Impact of Supercomputing in the Next Generation Sequencing Data Mining. (2009) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Semantic Web & Web Services, SWWS 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Semantic Web & Web Services, SWWS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Andy Marsh: Proceedings of the 2008 International Conference on Semantic Web & Web Services, SWWS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Andy Marsh: Proceedings of the 2009 International Conference on Semantic Web & Web Services, SWWS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Semantic Web & Web Services, SWWS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Computers for People with Special Needs, CPSN 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Malware detection using artificial bee colony algorithm. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Computer Vision, VISION 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Ananda S. Chowdhury et al.: Improved Stereo Correlation using Moravec Operator and Kolmogorov-Smirnov Test. (2005) authored by Hamid R. Arabnia. M. Arif Wani et al.: Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA. (2002) edited by Hamid R. Arabnia. Kaiqi Xiong et al.: Next Generation Sequence Analysis Using Genetic Algorithms on Multi-core Technology. (2009) authored by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Ananda S. Chowdhury and Hamid R. Arabnia: A Comprehensive Study of Stereo Correlation Performance. (2004) authored by Hamid R. Arabnia. Felicia S. Jones and Hamid R. Arabnia: Automatic Region Growing Algorithm for the Visible Human Dateset. (2003) authored by Hamid R. Arabnia. Matthias Wiemann and Hamid R. Arabnia: Stereo Images and Genetic Algorithms: Making Computers See Depth. (2004) authored by Hamid R. Arabnia. James J. Park et al.: Grid and Pervasive Computing - 8th International Conference, GPC 2013 and Colocated Workshops, Seoul, Korea, May 9-11, 2013. Proceedings (2013) edited by Hamid R. Arabnia. Austin T. New et al.: Non-rigid shape correspondence and description using geodesic field estimate distribution. (2012) authored by Hamid R. Arabnia. Mahsa Imani et al.: Improving MAX-MIN ant system performance with the aid of ART2-based Twin Removal method. (2010) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Variable Precision (CIVP) Floating Point Multiplication Architecture for FPGAs. (2007) authored by Hamid R. Arabnia. Jack Y. Yang et al.: High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the 2007 International Conference on Multimedia Systems and Applications, MSA 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: Analysis of Subspace-based Face Recognition Techniques under Changes in Imaging Factors. (2007) authored by Hamid R. Arabnia. Jack O. Shelton and Hamid R. Arabnia: Brain Imaging for Diagnosis of Schizophrenia: Challenges, Successes and a Research Road Map. (2012) authored by Hamid R. Arabnia. Hamid R. Arabnia and Elena B. Kozerenko: Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications. MLMTA'03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of The 2005 International Conference on Machine Learning, Models, Technologies and Applications, MLMTA 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2006 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC 2002, Las Vegas, Nevada, USA, June 24-27, 2002 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC '03, Las Vegas, Nevada, USA, June 23-26, 2003, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Internet Computing, IC '03, Las Vegas, Nevada, USA, June 23-26, 2003, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Olaf Droegehorn: Proceedings of the International Conference on Internet Computing, IC '04, Las Vegas, Nevada, USA, June 21-24, 2004, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Internet Computing, IC '04, Volume 2 & Proceedings of the International Symposium on Web Services & Applications, ISWS '04, Las Vegas, Nevada, USA, June 21-24, 2004 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Internet Computing, ICOMP 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Internet Computing & Conference on Computer Games Development, ICOMP 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Internet Computing, ICOMP 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2008 International Conference on Internet Computing, ICOMP 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2009 International Conference on Internet Computing, ICOMP 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Internet Computing, ICOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Rabia Jafri et al.: A Skeleton-Based Deep Learning Approach for Recognizing Violent Actions in Surveillance Scenarios. (2022) authored by Hamid R. Arabnia. Hamid R. Arabnia and Iyad A. Ajwa: Proceedings of the 2005 International Conference on Algorithmic Mathematics and Computer Science, AMCS 2005, Las Vegas, Nevada, USA (2005) edited by Hamid R. Arabnia. Himanshu Thapliyal et al.: Design And Analysis of A VLSI Based High Performance Low Power Parallel Square Architecture. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Human-Computer Interaction, HCI 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: Parallelization of computer vision algorithms on a reconfigurable multiprocessor. (1994) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Personalized Feedback Emails: A Case Study on Online Introductory Computer Science Courses. (2020) authored by Hamid R. Arabnia. Hong Shen et al.: Parallel and Distributed Computing, Applications and Technologies - 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17-19, 2021, Proceedings (2022) edited by Hamid R. Arabnia. Brian J. d'Auriol and Hamid R. Arabnia: Proceedings of the 2005 International Conference on Communications in Computing, CIC 2005, Las Vegas, Nevada, USA (2005) edited by Hamid R. Arabnia. Brian J. d'Auriol et al.: Proceedings of the 2006 International Conference on Communications in Computing, CIC 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Brian J. d'Auriol and Hamid R. Arabnia: Proceedings of the 2008 International Conference on Communications in Computing, CIC 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Shrirang M. Yardi and Hamid R. Arabnia: A Communication Framework for the Reconfigurable Multi-Ring Network. (2003) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Information and Knowledge Engineering, IKE 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2006 International Conference on Information & Knowledge Engineering, IKE 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2007 International Conference on Information & Knowledge Engineering, IKE 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ray R. Hashemi: Proceedings of the 2008 International Conference on Information & Knowledge Engineering, IKE 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Information & Knowledge Engineering, IKE 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Information & Knowledge Engineering, IKE 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Multi-Resolution Hierarchical Approach for Face Recognition. (2007) authored by Hamid R. Arabnia. David Luper et al.: Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining. (2007) authored by Hamid R. Arabnia. David Luper et al.: Positional Forecasting From Logged Training Data Using Probabilistic Neural Networks. (2009) authored by Hamid R. Arabnia. Junfeng Qu and Hamid R. Arabnia: A novel short-term stock price predicting system. (2005) authored by Hamid R. Arabnia. Junfeng Qu et al.: Time Series Similarity Matching with a New Distance Measure. (2007) authored by Hamid R. Arabnia. Junfeng Qu et al.: PaperGuard: A Support Vector Machine Approach for Screening Machine Generated Papers. (2009) authored by Hamid R. Arabnia. Junfeng Qu et al.: Knowledge Retrieval in Financial Domain. (2008) authored by Hamid R. Arabnia. Mehdi Bahrami et al.: Deep SAS: A Deep Signature-based API Specification Learning Approach. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Gerald Schaefer: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2009, July 13-16, 2009, Las Vegas, Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Kavitha Anandan and Hamid R. Arabnia: Comparison of Statistical Based Thresholding Methods for Nanostructure Images. (2008) authored by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Multi-Level Component-Based Approach for Face Recognition. (2007) authored by Hamid R. Arabnia. Mehdi Assefi et al.: An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale. (2022) authored by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: A Microscope Algorithm and Its Applications in Calculation of Chemical Preparations with Antiviral Effects. (2005) authored by Hamid R. Arabnia. Durga Yeluri et al.: Using Pattern Recognition Techniques in the Gait Analysis to Determine Osteoarthritis in Dogs. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia: Towards a General-Purpose Parallel System for Imaging Operations. (1991) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Pervasive Systems & Computing, PSC 2006, Las Vegas, Nevada, USA , June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: Fusion of Face and Gait for Automatic Human Recognition. (2008) authored by Hamid R. Arabnia. David Luper et al.: Flow Decomposition in Complex Systems. (2011) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Computer Graphics & Virtual Reality, CGVR 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Computer Graphics & Virtual Reality, CGVR 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2008 International Conference on Computer Graphics & Virtual Reality, CGVR 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2009 International Conference on Computer Graphics & Virtual Reality, CGVR 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Computer Graphics & Virtual Reality, CGVR 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. M. Arif Wani and Hamid R. Arabnia: Parallel Polygon Approximation Algorithm Targeted at Reconfigurable Multi-Ring Hardware. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia and Xiangjian He: Scalable Switch for Uni-Directional MultiRing Network. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the International Conference on VLSI, VLSI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Rabia Jafri et al.: Visual and Infrared Sensor Data-Based Obstacle Detection for the Visually Impaired Using the Google Project Tango Tablet Development Kit and the Unity Engine. (2018) authored by Hamid R. Arabnia. Vimala Balakrishnan et al.: Improving cyberbullying detection using Twitter users' psychological features and machine learning. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia: Editorial. (1998) authored by Hamid R. Arabnia. H. V. Jayashree et al.: Ancilla-input and garbage-output optimized design of a reversible quantum integer multiplier. (2016) authored by Hamid R. Arabnia. M. Arif Wani and Hamid R. Arabnia: Parallel Edge-Region-Based Segmentation Algorithm Targeted at Reconfigurable MultiRing Network. (2003) authored by Hamid R. Arabnia. Farzaneh Motavaselalhagh et al.: Knowledge-based adaptable scheduler for SaaS providers in cloud computing. (2015) authored by Hamid R. Arabnia. Abolfazl Farahani et al.: A Concise Review of Transfer Learning. (2021) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: Embodied AI-Driven Operation of Smart Cities: A Concise Review. (2021) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: A Novel Reconfigurable Multiprocessor for Robot Vision. (1994) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Evolutionary Algorithms and Efficient Data Analytics for Image Processing. (2021) authored by Hamid R. Arabnia. Weihua Zhuang et al.: Proceedings of the International Conference on Wireless Networks, ICWN '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Wireless Networks, ICWN '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Wireless Networks, ICWN '04, Volume 2 & Proceedings of the International Conference on Pervasive Computing and Communications, PCC'04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of the 2005 International Conference on Wireless Networks, ICWN 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Wireless Networks, ICWN 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Wireless Networks, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2008 International Conference on Wireless Networks, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2009 International Conference on Wireless Networks, ICWN 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Wireless Networks, ICWN 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of the 2005 International Conference on Computer Design, CDES 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mary Mehrnoosh Eshaghian-Wilner: Proceedings of the 2006 International Conference on Computer Design & Conference on Computing in Nanotechnology, CDES 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Computer Design, CDES 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Computer Design, CDES 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Computer Design, CDES 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2010 International Conference on Computer Design, CDES 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: Modified Carry Look Ahead BCD Adder With CMOS and Reversible Logic Implementation. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Reversible Programmable Logic Array (RPLA) Using Fredkin and Feynman Gates for Industrial Electronics and Applications. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Partial Reversible Gates(PRG) for Reversible BCD Arithmetic. (2007) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Novel NAND and AND Gate Using DNA Ligation and Two Transistors Implementations. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Design for A Fast And Low Power 2's Complement Multiplier. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Verilog Coding Style for Efficient Synthesis In FPGA. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Double Precision Floating Point Multiplier Suitably Designed for FPGAs and ASICs. (2006) authored by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Security and Management, SAM '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Security and Management, SAM '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Security and Management, SAM '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Security and Management, SAM 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Selim Aissi: Proceedings of the 2006 International Conference on Security & Management, SAM 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Selim Aissi and Hamid R. Arabnia: Proceedings of the 2007 International Conference on Security & Management, SAM 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Selim Aissi: Proceedings of the 2008 International Conference on Security & Management, SAM 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Kevin Daimi: Proceedings of the 2009 International Conference on Security & Management, SAM 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Security & Management, SAM 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: PCA-Based Methods for Face Recognition. (2007) authored by Hamid R. Arabnia. Rabia Jafri et al.: An Integrated Face-Gait System for Automatic Recognition of Humans. (2008) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Faster RSA Encryption/Decryption Architecture Using an Efficient High Speed Overlay Multiplier. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Implementation of A Fast Square In RSA Encryption/Decryption Architecture. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Frontiers in Education: Computer Science and Computer Engineering, FECS 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Victor A. Clincy: Proceedings of the 2007 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2008 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Frontiers in Education: Computer Science & Computer Engineering, FECS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia: A Multi-Ring Transputer Network for the Arbitrary Rotation of Raster Images. (1990) authored by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of The 2005 International Conference on Scientific Computing, CSC 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Scientific Computing, CSC 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Scientific Computing, CSC 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2008 International Conference on Scientific Computing, CSC 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2009 International Conference on Scientific Computing, CSC 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Scientific Computing, CSC 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Biological Computing. (2006) authored by Hamid R. Arabnia. Valery V. Gritsak-Groener et al.: Superpower Computational Creation for Biological Computing. (2005) authored by Hamid R. Arabnia. Saurabh Kotiyal et al.: VLSI Implementation of O(n*n) Sorting Algorithms And Their Hardware Comparison. (2005) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Programming Languages and Compilers, PLC 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the International Conference on Embedded Systems and Applications, ESA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Embedded Systems and Applications, ESA '04 & Proceedings of the International Conference on VLSI, VLSI '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Laurence Tianruo Yang et al.: Proceedings of The 2005 International Conference on Embedded Systems and Applications, ESA 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Embedded Systems & Applications, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Laurence Tianruo Yang: Proceedings of the 2007 International Conference on Embedded Systems & Applications, USA 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Embedded Systems & Applications, USA 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Embedded Systems & Applications, ESA 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2010 International Conference on Embedded Systems & Applications, ESA 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Pallavi Devi Gopineedi et al.: Novel and Efficient 4: 2 and 5: 2 Compressors with Minimum Number of Transistors Designed for Low-Power Operations. (2006) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: High Speed Efficient N Bit by N Bit Division Algorithm and Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Time-Area-Power Efficient Multiplier and Square Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: A Novel Parallel Multiply and Accumulate (V-MAC) Architecture Based on Ancient Indian Vedic Mathematics. (2004) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Need of Quantum Computing: Reversible Logic Synthesis of Parallel Binary Adder-Subtractor. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: A Reversible Version of 4 x 4 Bit Array Multiplier With Minimum Gates and Garbage Outputs. (2005) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Reversible Logic Synthesis of Half, Full and Parallel Subtractors. (2005) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease. (2017) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on E-Business, Enterprise Information Systems, E-Government, and Outsourcing, EEE 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on E-Learning, E-Business, Enterprise Information Systems, E-Government, & Outsourcing, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2007 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, EEE 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2008 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, EEE 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Azita Bahrami: Proceedings of the 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government, EEE 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government, EEE 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Ban Al-Ani et al.: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Ban Al-Ani et al.: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 2 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP 2005, Las Vegas, Nevada, USA, June 27-29, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice, SERP 2005, Las Vegas, Nevada, USA, June 27-29, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, SERP 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, SERP 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2007 International Conference on Software Engineering Research & Practice, SERP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2007 International Conference on Software Engineering Research & Practice, SERP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2008 International Conference on Software Engineering Research & Practice, SERP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Hassan Reza: Proceedings of the 2009 International Conference on Software Engineering Research & Practice, SERP 2009, July 13-16, 2009, Las Vegas, Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Software Engineering Research & Practice, SERP 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: Graph-Based Methods for Ontology Summarization: A Survey. (2018) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: ES-LDA: Entity Summarization using Knowledge-based Topic Modeling. (2017) authored by Hamid R. Arabnia. Zengyan Wang et al.: Improved Automating Seismic Facies Analysis Using Deep Dilated Attention Autoencoders. (2019) authored by Hamid R. Arabnia. Jongsung Kim et al.: Advanced Information Technologies in Future Computing Environments. (2013) authored by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Editorial - Special Issue: Computational Sciences and Applications. (2003) authored by Hamid R. Arabnia. Rabia Jafri et al.: Computer vision-based object recognition for the visually impaired in an indoors environment: a survey. (2014) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Modeling, Simulation & Visualization Methods, MSV '04 & Proceedings of the International Conference on Algorithmic Mathematics & Computer Science, AMCS '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Conference on Modeling, Simulation and Visualization Methods, MSV 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Modeling, Simulation & Visualization Methods, MSV 2006, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2007 International Conference on Modeling, Simulation & Visualization Methods, MSV 2007, Las Vegas, Nevada, USA, June 25-28, 2007 (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2008 International Conference on Modeling, Simulation & Visualization Methods, MSV 2008, Las Vegas, Nevada, USA, July 14-17, 2008 (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Leonidas Deligiannidis: Proceedings of the 2009 International Conference on Modeling, Simulation & Visualization Methods, MSV 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Modeling, Simulation & Visualization Methods, MSV 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization. (2018) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, June 28 - July 1, 1999, Las Vegas, Nevada, USA, Volume 1 (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, June 28 - July 1, 1999, Las Vegas, Nevada, USA, Volume 2 (1999) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 1 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 2 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 3 (2002) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, June 21-24, 2004, Las Vegas, Nevada, USA, Volume 1 (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Artificial Intelligence, IC-AI '04, Volume 2 & Proceedings of the International Conference on Machine Learning; Models, Technologies & Applications, MLMTA '04, June 21-24, 2004, Las Vegas, Nevada, USA (2004) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 1 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI 2005, Las Vegas, Nevada, USA, June 27-30, 2005, Volume 2 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI 2006, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume I, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume II, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008, July 14-17, 2008, Las Vegas, Nevada, USA, 2 Volumes (includes the 2008 International Conference on Machine Learning; Models, Technologies and Applications) (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes (2010) edited by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Survey of Component-Based Face Recognition Approaches. (2007) authored by Hamid R. Arabnia. David Luper et al.: Path Normalcy Analysis Using Nearest Neighbor Outlier Detection. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, GEM 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia and Youngsong Mun: Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and Ashu M. G. Solo: Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, GEM 2009, July 13-16, 2009, Las Vegas Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods, GEM 2010, July 12-15, 2010, Las Vegas Nevada, USA (2010) edited by Hamid R. Arabnia. Hamid R. Arabnia and Rose Joshua: Proceedings of The 2005 International Conference on Foundations of Computer Science, FCS 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Hamid R. Arabnia and Mark Murgin: Proceedings of the 2006 International Conference on Foundations of Computer Science, Las Vegas, Nevada, USA, June 26-29, 2006 (2006) edited by Hamid R. Arabnia. Hamid R. Arabnia and Pei Li Zhou: Proceedings of the 2007 International Conference on Foundations of Computer Science, FCS 2007, June 25-28, 2007, Las Vegas, Nevada, USA (2007) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2008 International Conference on Foundations of Computer Science, FCS 2008, July 14-17, 2008, Las Vegas, Nevada, USA (2008) edited by Hamid R. Arabnia. Hamid R. Arabnia and George A. Gravvanis: Proceedings of the 2009 International Conference on Foundations of Computer Science, FCS 2009, July 13-16, 2009, Las Vegas, Nevada, USA (2009) edited by Hamid R. Arabnia. Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Foundations of Computer Science, FCS 2010, July 12-15, 2010, Las Vegas, Nevada, USA (2010) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: The REFINE Multiprocessor - Theoretical Properties and Algorithms. (1995) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Transputer Network for the Arbitrary Rotation of Digitised Images. (1987) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Efficient Reversible Logic Design of BCD Subtractors. (2009) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Progress in Reversible Processor Design: A Novel Methodology for Reversible Carry Look-Ahead Adder. (2013) authored by Hamid R. Arabnia. Young-Sik Jeong et al.: Fuzzy neuro theory and technologies for cloud computing; edited by Young-Sik Jeong, Vaclav Snasel, Hamid R. Arabnia and Jason C. Hung. (2017) authored by Hamid R. Arabnia. Hamid R. Arabnia and Suchendra M. Bhandarkar: Parallel stereocorrelation on a reconfigurable multi-ring network. (1996) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: Arbitrary Rotation of Raster Images with SIMD Machine Architectures. (1987) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review. (2022) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: A Comprehensive Survey of Ontology Summarization: Measures and Methods. (2018) authored by Hamid R. Arabnia. Mohammad Nasajpour et al.: Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study. (2020) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Variable Precision (CIVP) Floating Point Multiplication Architecture for FPGAs (2007) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Combined Integer and Floating Point Multiplication Architecture(CIFM) for FPGAs and Its Reversible Logic Implementation (2006) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises. (2019) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Data Analytics for Smart cities: Challenges and Promises. (2021) authored by Hamid R. Arabnia. Ehsan Asali et al.: DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection. (2020) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning. (2021) authored by Hamid R. Arabnia. Seyedamin Pouriyeh et al.: Ontology Summarization: Graph-Based Methods and Beyond. (2019) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Emerging ICT applications and services - Big data, IoT, and cloud computing. (2021) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap. (2020) authored by Hamid R. Arabnia. Kai Wang et al.: Comparison of existing triangulation methods for regularly and irregularly spaced height fields. (2001) authored by Hamid R. Arabnia. Hamid R. Arabnia: Distributed stereo-correlation algorithm. (1996) authored by Hamid R. Arabnia. Homayoun Valafar et al.: Distributed Global Optimization and its Development on the MultiRing Network. (2004) authored by Hamid R. Arabnia. Hamid R. Arabnia: A Parallel Algorithm for the Arbitrary Rotation of Digitized Images Using Process-and-Data-Decomposition Approach. (1990) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. (2022) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Reduced Area Low Power High Throughput BCD Adders for IEEE 754r Format (2006) authored by Hamid R. Arabnia. Saed Rezayi et al.: Socially Aware Multimodal Deep Neural Networks for Fake News Classification. (2021) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Intelligent systems and smart homes. (2009) authored by Hamid R. Arabnia. Ke Zhang et al.: From genes to networks: in systematic points of view. (2011) authored by Hamid R. Arabnia. Robert A. Gougher and Hamid R. Arabnia: Media Reviews. (1999) authored by Hamid R. Arabnia. Yuanyuan Fu et al.: Current trend and development in bioinformatics research. (2020) authored by Hamid R. Arabnia. Frank Emmert-Streib et al.: Preface. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia and Thiab R. Taha: A parallel numerical algorithm on a reconfigurable multi-ring network. (1998) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: Fast Operations on Raster Images with SIMD Machine Architectures. (1986) authored by Hamid R. Arabnia. Hamid R. Arabnia and Martin A. Oliver: A Transputer Network for Fast Operations on Digitised Images. (1989) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Saeid Safaei et al.: The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation. (2018) authored by Hamid R. Arabnia. Hamid R. Arabnia: Proceedings of The 2005 International Symposium on Web Services and Applications, ISWS 2005, Las Vegas, Nevada, USA, June 27-30, 2005 (2005) edited by Hamid R. Arabnia. Suchendra M. Bhandarkar et al.: A Reconfigurable Architecture for Image Processing and Computer Vision. (1995) authored by Hamid R. Arabnia. Gerhard-Wilhelm Weber et al.: Preface: advances of machine learning and optimization in healthcare systems and medicine. (2023) authored by Hamid R. Arabnia. Mehdi Imani et al.: A Survey on Asynchronous Quorum-Based Power Saving Protocols in Multi-Hop Networks. (2017) authored by Hamid R. Arabnia. Rabia Jafri and Hamid R. Arabnia: A Survey of Face Recognition Techniques. (2009) authored by Hamid R. Arabnia. Alireza Khatamian and Hamid R. Arabnia: Survey on 3D Surface Reconstruction. (2016) authored by Hamid R. Arabnia. Hamid R. Arabnia and Keqin Li: Guest Editorial. (1998) authored by Hamid R. Arabnia. Hamid R. Arabnia: A Scalable Network Topology for Medical Imaging. (2008) authored by Hamid R. Arabnia. Hamid R. Arabnia: High-Performance Computing and Applications in Image Processing and Computer Vision. (1997) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: Parallel Computer Vision on a Reconfigurable Multiprocessor Network. (1997) authored by Hamid R. Arabnia. Jack Y. Yang et al.: Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms. (2014) authored by Hamid R. Arabnia. Xue-Wen Chen and Hamid R. Arabnia: Guest editorial: data mining in bioinformatics and biomedicine. (2010) authored by Hamid R. Arabnia. George A. Gravvanis and Hamid R. Arabnia: The Journal of Parallel Algorithms and Applications: Special Issue on Parallel and Distributed Algorithms. (2004) authored by Hamid R. Arabnia. Mehdi Imani et al.: Power-saving Asynchronous Quorum-based Protocols for Maximal Neighbour Discovery. (2020) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings. (2020) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Students Success Modeling: Most Important Factors. (2023) authored by Hamid R. Arabnia. Ahmad Pahlavan Tafti et al.: OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. (2016) authored by Hamid R. Arabnia. David Luper et al.: System Decomposition for Temporal Concept Analysis. (2011) authored by Hamid R. Arabnia. George A. Gravvanis and Hamid R. Arabnia: Special section: Parallel and distributed algorithms and systems. (2006) authored by Hamid R. Arabnia. George A. Gravvanis et al.: Special section: Grid technology and applications. (2007) authored by Hamid R. Arabnia. Sabah Mohammed et al.: IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation. (2020) authored by Hamid R. Arabnia. Hamid R. Arabnia et al.: Context-Aware Middleware and Intelligent Agents for Smart Environments. (2010) authored by Hamid R. Arabnia. Binod Vaidya et al.: Bio-inspired computing for hybrid information technology. (2012) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics. (2022) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM. (2021) authored by Hamid R. Arabnia. Soheyla Amirian et al.: An Integrated Approach for Video Captioning and Applications. (2022) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi and Hamid R. Arabnia: ISEA: Image Steganalysis using Evolutionary Algorithms. (2019) authored by Hamid R. Arabnia. Seyed Amin Pouriyeh et al.: Graph-based Ontology Summarization: A Survey. (2018) authored by Hamid R. Arabnia. H. V. Jayashree et al.: Ancilla-Input and Garbage-Output Optimized Design of a Reversible Quantum Integer Multiplier. (2016) authored by Hamid R. Arabnia. Sahar Voghoei et al.: Deep Learning at the Edge. (2019) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh et al.: Deep Learning in Healthcare: An In-Depth Analysis. (2023) authored by Hamid R. Arabnia. Vimala Balakrishnan et al.: Unravelling social media racial discriminations through a semi-supervised approach. (2022) authored by Hamid R. Arabnia. Mohammad Nasajpour et al.: Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. (2020) authored by Hamid R. Arabnia. William Yang et al.: Identification of genes and pathways involved in kidney renal clear cell carcinoma. (2014) authored by Hamid R. Arabnia. Jong Hyuk Park et al.: Special issue on advanced intelligent multimedia applications for next generation environments. (2010) authored by Hamid R. Arabnia. Suchendra M. Bhandarkar and Hamid R. Arabnia: The Hough Transform on a Reconfigurable Multi-Ring Network. (1995) authored by Hamid R. Arabnia. Himanshu Thapliyal et al.: Partial Reversible Gates(PRG) for Reversible BCD Arithmetic (2007) authored by Hamid R. Arabnia. Mehdi Imani et al.: A Comprehensive Survey on Addressing Methods in the Internet of Things. (2018) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: A Review of Deep Transfer Learning and Recent Advancements. (2022) authored by Hamid R. Arabnia. Soheyla Amirian et al.: The Use of Video Captioning for Fostering Physical Activity. (2021) authored by Hamid R. Arabnia. Farzan Shenavarmasouleh and Hamid R. Arabnia: DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning. (2020) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Malware Detection using Artificial Bee Colony Algorithm. (2020) authored by Hamid R. Arabnia. Abolfazl Farahani et al.: A Brief Review of Domain Adaptation. (2020) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: 3D-model ShapeNet Core Classification using Meta-Semantic Learning. (2022) authored by Hamid R. Arabnia. Himanshu Thapliyal and Hamid R. Arabnia: Reversible Programmable Logic Array (RPLA) using Fredkin & Feynman Gates for Industrial Electronics and Applications (2006) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: Evolutionary Computation, Optimization and Learning Algorithms for Data Science. (2019) authored by Hamid R. Arabnia. Farid Ghareh Mohammadi et al.: On Parameter Tuning in Meta-learning for Computer Vision. (2020) authored by Hamid R. Arabnia. Hamed Yaghoobian et al.: Sarcasm Detection: A Comparative Study. (2021) authored by Hamid R. Arabnia. Saeid Safaei et al.: Solving Minimum k-supplier in Adleman-Lipton model. (2018) authored by Hamid R. Arabnia. Soheyla Amirian et al.: Generative Adversarial Network Applications in Creating a Meta-Universe. (2022) authored by Hamid R. Arabnia. Mohammadreza Iman et al.: EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning. (2022) authored by Hamid R. Arabnia{'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States.\\\\nHe has been the editor-in-chief of The Journal of Supercomputing since 1997.\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_on_all_triples\": \"Hamid R. Arabnia has a written paper amount of 3 in year 2012.\\nHamid R. Arabnia has a written paper amount of 7 in 2013.\\nHamid R. Arabnia has written paper amount in year 2014: 26.\\nHamid R. Arabnia's written paper amount in year 2015 is 30.\\nHamid R. Arabnia has a written paper amount of 12 in year 2016.\\nHamid R. Arabnia has a written paper amount of 16 in year 2017.\\nHamid R. Arabnia's written paper amount in year 2018 is 20.\\nHamid R. Arabnia has a written paper amount of 18 in year 2019.\\nHamid R. Arabnia's written paper amount in year 2020 is 27.\\nHamid R. Arabnia's written paper amount in year2021 is 28.\\nHamid R. Arabnia's written paper amount in year2022 is 17.\\nHamid R. Arabnia has a written paper amount of 7 in year2023.\\nHamid R. Arabnia has a 2YrMeanCitedness of 3.0909090042114257812.\\nHamid R. Arabnia is affiliated with the University of Georgia, Athens, USA.\\nHamid R. Arabnia is also known as \\\"Hamid A Arabnia, H. Arabnia, Hamid Reza Arabnia, Hamid Arabnia, H. R. Arabnia\\\".\\n\\\"Jack Y. Yang et al.: High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture. (2008), Hamid R. Arabnia and George A. Gravvanis: Editorial - Special Issue: Computational Sciences and Applications. (2003), Jong Hyuk Park et al.: Emerging ICT applications and services - Big data, IoT, and cloud computing. (2021), Gerhard\\nHamid R. Arabnia is cited by count of 3129.\\nHamid R. Arabnia and Olaf Droegehorn: Proceedings of the International Conference on Internet Computing, IC '04, Las Vegas, Nevada, USA, June 21-24, 2004, Volume 1 (2004), Hamid R. Arabnia and Youngsong Mun: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 2 (2003), Hamid R. Arabnia and Leoni\\nHamid R. Arabnia has a h-index of 28.\\nHamid R. Arabnia has an i10Index of 58.\\nHamid R. Arabnia is the creator and the author of Hamid R. Arabnia.\\nhttps://dl.acm.org/profile/81487651909, https://en.wikipedia.org/wiki/Hamid_Arabnia, http://www.cs.uga.edu/<unk>hra/, http://www.wikidata.org/entity/Q5644568, https://www.scopus.com/authid/detail.uri?authorId=7003910983, https://scholar.google.com/citation\\nHamid R. Arabnia is a member of Franklin College.\\nHamid R. Arabnia was modified on 2023-10-18.\\nHamid R. Arabnia is also known as Hamid R. Arabnia.\\nHamid R. Arabnia can be found at https://orcid.org/0000-0003-3943-0094.\\nHamid R. Arabnia's primary affiliation is the University of Georgia, Athens, USA.\\nHamid R. Arabnia has 380 works count.{'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States.\\\\nHe has been the editor-in-chief of The Journal of Supercomputing since 1997.\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. You can help Wikipedia by expanding it.'}\",\n \"verbalizer_plus_evidence_matching\": \"Hamid R. Arabnia has a written paper amount of 12 in year 2016.\\nHamid R. Arabnia has a written paper amount of 18 in year 2019.\\n\\\"Rabia Jafri and Hamid R. Arabnia: A Multi-Level Component-Based Approach for Face Recognition. (2007), Durga Yeluri et al.: Using Pattern Recognition Techniques in the Gait Analysis to Determine Osteoarthritis in Dogs. (2004), Farzan Shenavarmasouleh and Hamid R. Arabnia: DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Dia\\nHamid R. Arabnia is cited by count of 3129.\\nHamid R. Arabnia: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 1 (2006), Hamid R. Arabnia et al.: Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (2008), Hamid R. Arabnia: Proceedings of the 2005 International Conference on\\nHamid R. Arabnia has a h-index of 28.\\nHamid R. Arabnia has an i10Index of 58.\\nHamid R. Arabnia is linked to https://dl.acm.org/profile/81487651909, http://www.cs.uga.edu/<unk>hra/, https://www.scopus.com/authid/detail.uri?authorId=7003910983 and https://scholar.google.com/citations?user=g86VLOUAAAAJ.\\nHamid R. Arabnia is a member of Franklin College.\\nHamid R. Arabnia can be found at https://orcid.org/0000-0003-3943-0094.\\nHamid R. Arabnia's primary affiliation is the University of Georgia, Athens, USA.\\\\n\\\\nThis biographical article relating to a computer specialist in the United States is a stub. {'author_wikipedia_text': 'Hamid Reza Arabnia is a professor of computer science at the University of Georgia, United States\"\n}"}}},{"rowIdx":92,"cells":{"id":{"kind":"string","value":"820a93c8-5d0c-42c6-b892-9ed3768a8216"},"triples_number":{"kind":"number","value":160,"string":"160"},"question":{"kind":"string","value":"What is the hIndex of the author of Distributed Computing Architectures for Digital Libraries Workshop published in ICPP Workshops 2002?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"9.3999996185302734375\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"Old Dominion University, Norfolk, Virginia, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"ndiana University, Bloomington, IN, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"Bollen Jc\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"Bollen Johan\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"J. Bollen\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"JC Bollen\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Johan Bollen\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johan Bollen et al.: Digital Library Evaluation by Analysis of User Retrieval Patterns. (2002)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johan Bollen: Determining the Public Mood State by Analysis of Microblogging Posts. (2010)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alberto Pepe and Johan Bollen: Between Conjecture and Memento: Shaping A Collective Emotional Perception of the Future. (2008)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johan Bollen and Michael L. Nelson: Distributed Computing Architectures for Digital Libraries Workshop. (2002)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johan Bollen and Michael L. Nelson: Adaptive Networks of Smart Objects. (2002)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Francis Heylighen and Johan Bollen: Hebbian Algorithms for a Digital Library Recommendation System. (2002)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Michael L. Nelson et al.: User evaluation of the NASA technical report server recommendation service. (2004)\"\n },\n {\n \"object\": \"Johan Bollen\",\n \"predicate\": \"authored by\",\n \"subject\": \"Johan Bollen et al.: Detecting Research Trends in Digital Library Readership. 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Nelson: Distributed Computing Architectures for Digital Libraries Workshop. (2002) authored by Johan Bollen. Ann Heylighen et al.: Distributed (design) knowledge exchange. (2007) authored by Johan Bollen. Johan Bollen et al.: How and where the TeraGrid supercomputing infrastructure benefits science. (2011) authored by Johan Bollen. Marko A. Rodriguez et al.: The Convergence of Digital-Libraries and the Peer-Review Process (2005) authored by Johan Bollen. Johan Bollen: Development of Digital Libraries - An American Perspective. (2003) authored by Johan Bollen. Marko A. Rodriguez et al.: The convergence of digital libraries and the peer-review process. (2006) authored by Johan Bollen. Xiaoming Liu et al.: Co-authorship networks in the digital library research community. (2005) authored by Johan Bollen. Johan Bollen et al.: Trend Analysis of the Digital Library Community. (2005) authored by Johan Bollen. Xiaoming Liu et al.: Co-Authorship Networks in the Digital Library Research Community (2005) authored by Johan Bollen. Johan Bollen et al.: Usage Analysis for the Identification of Research Trends in Digital Libraries. (2003) authored by Johan Bollen. Johan Bollen et al.: Detecting Research Trends in Digital Library Readership. (2003) authored by Johan Bollen. Mariella Di Giacomo et al.: MyLibrary, A Personalization Service for Digital Library Environments. (2001) authored by Johan Bollen. Francis Heylighen and Johan Bollen: Hebbian Algorithms for a Digital Library Recommendation System. (2002) authored by Johan Bollen. Johan Bollen and Luis M. Rocha: An Adaptive Systems Approach to the Implementation and Evaluation of Digital Library Recommendation Systems. (2000) authored by Johan Bollen. Johan Bollen et al.: Digital Library Evaluation by Analysis of User Retrieval Patterns. (2002) authored by Johan Bollen. Luis M. Rocha and Johan Bollen: Biologically Motivated Distributed Designs for Adaptive Knowledge Management (2000) authored by Johan Bollen He is currently a professor at the Indiana University School of Informatics and Computing. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. \\\\nFrom 2002 to 2005 he was an assistant professor at the Department of Computer Science of Old Dominion University. \\\\nHe has taught courses on data mining, information retrieval, and digital libraries\",\n \"plain\": \"Johan Bollen is Author. Johan Bollen modified 2023-10-18. Johan Bollen citedByCount 9231. Johan Bollen written paper amount in year2012: 6. Johan Bollen written paper amount in year2012: 6. Johan Bollen written paper amount in year2013: 7. Johan Bollen written paper amount in year2013: 7. 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Johan Bollen written paper amount in year2023: 4. Johan Bollen worksCount 172. Johan Bollen name Johan Bollen. Johan Bollen member of Indiana University Bloomington. Johan Bollen h-index 33. Johan Bollen 2YrMeanCitedness 9.3999996185302734375. Johan Bollen alternativeName Bollen Jc. Johan Bollen alternativeName Bollen Johan. Johan Bollen alternativeName J. Bollen. Johan Bollen alternativeName JC Bollen. Johan Bollen alternativeName Johan Bollen. Johan Bollen i10Index 71. Johan Bollen orcidId https://orcid.org/0000-0001-7031-9293. Johan Bollen is Creator. Johan Bollen is Person. Johan Bollen link http://www.wikidata.org/entity/Q16213455. Johan Bollen affiliation Old Dominion University, Norfolk, Virginia, USA. Johan Bollen affiliation ndiana University, Bloomington, IN, USA. Johan Bollen link http://www.cs.odu.edu/~jbollen/. Johan Bollen primary affiliation ndiana University, Bloomington, IN, USA. Johan Bollen link http://www.cs.odu.edu/~jbollen/. Johan Bollen link https://scholar.google.com/citations?user=jDmcdsUAAAAJ. Johan Bollen link https://dl.acm.org/profile/81100608309. Johan Bollen link https://en.wikipedia.org/wiki/Johan_Bollen. Johan Bollen et al.: Digital Library Evaluation by Analysis of User Retrieval Patterns. (2002) authored by Johan Bollen. Johan Bollen: Determining the Public Mood State by Analysis of Microblogging Posts. (2010) authored by Johan Bollen. Alberto Pepe and Johan Bollen: Between Conjecture and Memento: Shaping A Collective Emotional Perception of the Future. (2008) authored by Johan Bollen. Johan Bollen and Michael L. Nelson: Distributed Computing Architectures for Digital Libraries Workshop. (2002) authored by Johan Bollen. Johan Bollen and Michael L. Nelson: Adaptive Networks of Smart Objects. (2002) authored by Johan Bollen. Francis Heylighen and Johan Bollen: Hebbian Algorithms for a Digital Library Recommendation System. (2002) authored by Johan Bollen. Michael L. Nelson et al.: User evaluation of the NASA technical report server recommendation service. (2004) authored by Johan Bollen. Johan Bollen et al.: Detecting Research Trends in Digital Library Readership. (2003) authored by Johan Bollen. Johan Bollen and Luis M. Rocha: An Adaptive Systems Approach to the Implementation and Evaluation of Digital Library Recommendation Systems. (2000) authored by Johan Bollen. Frank McCown et al.: Evaluation of the NSDL and Google for Obtaining Pedagogical Resources. (2005) authored by Johan Bollen. Mariella Di Giacomo et al.: MyLibrary, A Personalization Service for Digital Library Environments. (2001) authored by Johan Bollen. Johan Bollen et al.: Video recommendations for the open video project. (2005) authored by Johan Bollen. Johan Bollen and Herbert Van de Sompel: An architecture for the aggregation and analysis of scholarly usage data. (2006) authored by Johan Bollen. Xiaoming Liu et al.: Toolkits for visualizing co-authorship graph. (2004) authored by Johan Bollen. Marko A. Rodriguez et al.: An analysis of the bid behavior of the 2005 JCDL program committee. (2006) authored by Johan Bollen. Marko A. Rodriguez et al.: A practical ontology for the large-scale modeling of scholarly artifacts and their usage. (2007) authored by Johan Bollen. Johan Bollen et al.: Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena. (2011) authored by Johan Bollen. Steen Rasmussen et al.: Collective intelligence for decision support in very large stakeholder networks: The future US energy system. (2007) authored by Johan Bollen. Marko A. Rodriguez and Johan Bollen: An algorithm to determine peer-reviewers. (2008) authored by Johan Bollen. Johan Bollen: Development of Digital Libraries - An American Perspective. (2003) authored by Johan Bollen. Johan Bollen et al.: Usage Analysis for the Identification of Research Trends in Digital Libraries. (2003) authored by Johan Bollen. Ronald Rousseau et al.: Large language models and scientific publishing. (2023) authored by Johan Bollen. Marko A. Rodriguez and Johan Bollen: Simulating Network Influence Algorithms Using Particle-Swarms: PageRank and PageRank-Priors (2006) authored by Johan Bollen. Frank McCown et al.: The Availability and Persistence of Web References in D-Lib Magazine (2005) authored by Johan Bollen. Sean Kelty et al.: Don't follow the leader: Independent thinkers create scientific innovation. (2023) authored by Johan Bollen. Ian B. Wood et al.: Human Sexual Cycles are Driven by Culture and Match Collective Moods. (2017) authored by Johan Bollen. Marko A. Rodriguez et al.: Using RDF to Model the Structure and Process of Systems (2007) authored by Johan Bollen. Krishna C. Bathina et al.: Quantifying societal emotional resilience to natural disasters from geo-located social media content. (2022) authored by Johan Bollen. Johan Bollen et al.: Toward alternative metrics of journal impact: A comparison of download and citation data (2005) authored by Johan Bollen. Xianlei Dong and Johan Bollen: Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics. (2014) authored by Johan Bollen. Michael J. Kurtz and Johan Bollen: Usage Bibliometrics (2011) authored by Johan Bollen. Johan Bollen et al.: MESUR: usage-based metrics of scholarly impact. (2007) authored by Johan Bollen. Johan Bollen et al.: A ranking and exploration service based on large-scale usage data. (2008) authored by Johan Bollen. Johan Bollen et al.: Towards usage-based impact metrics: first results from the mesur project. (2008) authored by Johan Bollen. Michael L. Nelson and Johan Bollen: If you harvest arXiv.org, will they come? (2005) authored by Johan Bollen. Xin Shuai et al.: A comparative study of academic and Wikipedia ranking. (2013) authored by Johan Bollen. Jewel Ward et al.: Mining and analyzing digital archive usage data to support collection development decisions. (2005) authored by Johan Bollen. Johan Bollen: Group User Models for Personalized Hyperlink Recommendations. (2000) authored by Johan Bollen. Xiaozhong Liu et al.: Comparing Community-based Information Adoption and Diffusion Across Different Microblogging Sites. (2016) authored by Johan Bollen. Thomas Lutkenhouse et al.: Distributed, real-time computation of community preferences. (2005) authored by Johan Bollen. Marko A. Rodriguez et al.: Smartocracy: Social Networks for Collective Decision Making. (2007) authored by Johan Bollen. Johan Bollen et al.: The largest scholarly semantic network...ever. (2007) authored by Johan Bollen. Xin Shuai et al.: Improving news ranking by community tweets. (2012) authored by Johan Bollen. Johan Bollen et al.: Mining Associative Relations from Website Logs and their Application to Context-Dependent Retrieval Using Spreading Activation. (1999) authored by Johan Bollen. Michael J. Kurtz and Johan Bollen: Usage bibliometrics. (2010) authored by Johan Bollen. Johan Bollen and Herbert Van de Sompel: Usage impact factor: The effects of sample characteristics on usage-based impact metrics. (2008) authored by Johan Bollen. Marko A. Rodriguez et al.: Automatic metadata generation using associative networks. (2009) authored by Johan Bollen. Johan Bollen et al.: Twitter mood predicts the stock market. (2011) authored by Johan Bollen. Erick Elejalde et al.: Quantifying the ecological diversity and health of online news. (2018) authored by Johan Bollen. Johan Bollen and Huina Mao: Twitter Mood as a Stock Market Predictor. (2011) authored by Johan Bollen. Giovanni Luca Ciampaglia et al.: Computational fact checking from knowledge networks. (2015) authored by Johan Bollen. Alberto Pepe and Johan Bollen: Between conjecture and memento: shaping a collective emotional perception of the future (2008) authored by Johan Bollen. Terry L. Harrison et al.: Initial Experiences Re-Exporting Duplicate and Similarity Computation with an OAI-PMH aggregator (2004) authored by Johan Bollen. Johan Bollen and Herbert Van de Sompel: An Architecture for the Aggregation and Analysis of Scholarly Usage Data (2006) authored by Johan Bollen. Johan Bollen and Richard Luce: Evaluation of Digital Library Impact and User Communities by Analysis of Usage Patterns. (2002) authored by Johan Bollen. Johan Bollen et al.: Trend Analysis of the Digital Library Community. (2005) authored by Johan Bollen. Michael L. Nelson et al.: Archive Ingest and Handling Test: The Old Dominion University Approach. (2005) authored by Johan Bollen. Nathaniel Rodriguez et al.: Collective dynamics of belief evolution under cognitive coherence and social conformity. (2015) authored by Johan Bollen. Xin Shuai et al.: How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations (2012) authored by Johan Bollen. Frank McCown et al.: Reconstructing Websites for the Lazy Webmaster (2005) authored by Johan Bollen. Marko A. Rodriguez et al.: Mapping the Bid Behavior of Conference Referees (2006) authored by Johan Bollen. Johan Bollen et al.: Towards Usage-based Impact Metrics: - First Results from the MESUR Project (2008) authored by Johan Bollen. Aravind Elango et al.: Dynamic Linking of Smart Digital Objects Based on User Navigation Patterns (2004) authored by Johan Bollen. Rion Brattig Correia et al.: Mining social media data for biomedical signals and health-related behavior. (2020) authored by Johan Bollen. Marko A. Rodriguez et al.: Automatic Metadata Generation using Associative Networks (2008) authored by Johan Bollen. Johan Bollen et al.: Happiness Is Assortative in Online Social Networks. (2011) authored by Johan Bollen. Donald King et al.: Tools and MetricsKeynote speech. (2008) authored by Johan Bollen. Johan Bollen et al.: Toward alternative metrics of journal impact: A comparison of download and citation data. (2005) authored by Johan Bollen. Xiaoming Liu et al.: Co-authorship networks in the digital library research community. (2005) authored by Johan Bollen. Johan Bollen et al.: The happiness paradox: your friends are happier than you. (2017) authored by Johan Bollen. Huina Mao et al.: Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to Côte d'Ivoire. (2015) authored by Johan Bollen. Johan Bollen et al.: How and where the TeraGrid supercomputing infrastructure benefits science. (2011) authored by Johan Bollen. Bing He et al.: Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. (2013) authored by Johan Bollen. Daifeng Li et al.: Adding community and dynamic to topic models. (2012) authored by Johan Bollen. Filippo Radicchi et al.: Quantifying perceived impact of scientific publications. (2017) authored by Johan Bollen. Marko A. Rodriguez et al.: Mapping the bid behavior of conference referees. (2007) authored by Johan Bollen. Johan Bollen and Francis Heylighen: A system to restructure hypertext networks into valid user models. (1998) authored by Johan Bollen. Johan Bollen et al.: Video Recommendations for the Open Video Project. (2005) authored by Johan Bollen. Michael L. Nelson and Johan Bollen: If You Harvest arXiv.org, Will They Come? (2005) authored by Johan Bollen. Marko A. Rodriguez et al.: Analysis of the Bid Behavior of the 2005 JCDL Program Committee. (2007) authored by Johan Bollen. Jewel Ward et al.: Supporting Collection Development Decisions by Mining and Analyzing Digital Archive Usage Data. (2005) authored by Johan Bollen. Marko A. Rodriguez and Johan Bollen: Modeling Computations in a Semantic Network (2007) authored by Johan Bollen. Johan Bollen et al.: Rethinking Resource Allocation in Science. (2019) authored by Johan Bollen. Marko A. Rodriguez et al.: The Convergence of Digital-Libraries and the Peer-Review Process (2005) authored by Johan Bollen. Johan Bollen et al.: Collective allocation of science funding: from funding agencies to scientific agency (2013) authored by Johan Bollen. Johan Bollen et al.: Journal status. (2006) authored by Johan Bollen. Marko A. Rodriguez et al.: The convergence of digital libraries and the peer-review process. (2006) authored by Johan Bollen. Johan Bollen et al.: Historical language records reveal a surge of cognitive distortions in recent decades. (2021) authored by Johan Bollen. Johan Bollen et al.: Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language. (2021) authored by Johan Bollen. Johan Bollen et al.: Usage derived recommendations for a video digital library. (2007) authored by Johan Bollen. Rui Fan et al.: Does putting your emotions into words make you feel better? Measuring the minute-scale dynamics of emotions from online data. (2018) authored by Johan Bollen. Marko A. Rodriguez and Johan Bollen: An Algorithm to Determine Peer-Reviewers (2006) authored by Johan Bollen. Luis M. Rocha and Johan Bollen: Biologically Motivated Distributed Designs for Adaptive Knowledge Management (2000) authored by Johan Bollen. Johan Bollen et al.: Happiness is assortative in online social networks (2011) authored by Johan Bollen. Huina Mao et al.: Predicting Financial Markets: Comparing Survey,News, Twitter and Search Engine Data (2011) authored by Johan Bollen. Ann Heylighen et al.: Distributed (design) knowledge exchange. (2007) authored by Johan Bollen. Xiaoming Liu et al.: Co-Authorship Networks in the Digital Library Research Community (2005) authored by Johan Bollen. Xin Shuai et al.: Improving News Ranking by Community Tweets (2012) authored by Johan Bollen. Johan Bollen et al.: Twitter mood predicts the stock market (2010) authored by Johan Bollen. Johan Bollen et al.: The happiness paradox: your friends are happier than you. (2016) authored by Johan Bollen. Jorge Bahamonde et al.: Power Structure in Chilean News Media. (2017) authored by Johan Bollen. Johan Bollen et al.: Journal Status (2006) authored by Johan Bollen. Filippo Radicchi et al.: Quantifying perceived impact of scientific publications. (2016) authored by Johan Bollen. Johan Bollen et al.: An efficient system to fund science: from proposal review to peer-to-peer distributions. (2017) authored by Johan Bollen. Marko A. Rodriguez et al.: A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage (2007) authored by Johan Bollen. Johan Bollen et al.: Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena (2009) authored by Johan Bollen. Krishna C. Bathina et al.: Depressed individuals express more distorted thinking on social media. (2020) authored by Johan Bollen. Johan Bollen et al.: A principal component analysis of 39 scientific impact measures (2009) authored by Johan Bollen. Johan Bollen and Herbert Van de Sompel: Mapping the structure of science through usage. (2006) authored by Johan Bollen. Johan Bollen and Herbert Van de Sompel: Usage Impact Factor: the effects of sample characteristics on usage-based impact metrics (2006) authored by Johan Bollen{'author_wikipedia_text': 'Johan Lambert Trudo Maria Bollen (born 1971) is a scientist investigating complex systems and networks, the relation between social media and a variety of socio-economic phenomena such as the financial markets, public health, and social well-being, as well as Science of Science with a focus on impact metrics derived from usage data. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. He is best known for his work on scholarly impact metrics, measuring public well-being from large-scale social media data, and correlating Twitter mood to stock market prices.\\\\nHe has taught courses on data mining, information retrieval, and digital libraries. His research has been funded by The Andrew W. Mellon Foundation, National Science Foundation, Library of Congress, National Aeronautics and Space Administration and the Los Alamos National Laboratory. In his free time, he DJs at the Root Cellar Lounge in Bloomington, Indiana. He specializes in Deep House and Techno.\\\\nBollen received his MS in experimental psychology from the Free University of Brussels in 1993 after a master thesis \\\"Learning to Select Activities: a Conditionable System for an Autonomous Robot that Learns to Use Drive Reduction as Reinforcement.\\\" He defended his Ph.D. in psychology from the Free University of Brussels in October 2001 on the subject of cognitive models of human hypertext navigation.\\\\nFrom 2002 to 2005 he was an assistant professor at the Department of Computer Science of Old Dominion University. He was a staff scientist at the Los Alamos National Laboratory from 2005 to 2009. He is currently a professor at the Indiana University School of Informatics and Computing.\\\\nBollen\\\\'s work has been extensively covered in the press and popular media and has received over 6,900 citations (2016 h-index 33). Bollen was awarded two patents: one for \\\"Usage based indicators to assess the impact of scholarly works: architecture and method\\\" (US 8135662 B2) and \\\"Predicting economic trends via network communication mood tracking\\\" (US 8380607 B2). His work has found widespread application, e.g. in systems for digital library recommendations systems (Ex Libris bX Recommender Service) and in systems that use social media information to generate financial trading signals. As a result of his work on predicting the stock market based on Twitter mood, Derwent Capital Markets started the Absolute Return fund, the worlds\\\\'s first Twitter hedge fund. However, it later shut down after thirteen months.\\\\nBollen has published over 70 papers. A selection of the highly cited ones:'}\",\n \"verbalizer_on_all_triples\": \"Johan Bollen has a written paper amount of 6 in 2012.\\nJohan Bollen has a written paper amount of 7 in 2013.\\nJohan Bollen has a written paper amount of 4 in 2014.\\nJohan Bollen has a written paper amount of 7 in 2015.\\nJohan Bollen wrote 6 papers in 2016.\\nJohan Bollen wrote 5 papers in 2017.\\nJohan Bollen has a written paper amount of 6 in year 2018.\\nJohan Bollen has a written paper amount of 3 in year 2019.\\nJohan Bollen has a written paper amount of 7 in year 2020.\\nJohan Bollen has a written paper amount of 8 in year 2021.\\nJohan Bollen wrote 12 papers in 2022.\\nJohan Bollen has a written paper amount of 4 in year2023.\\nJohan Bollen has a 2YrMeanCitedness of 9.3999996185302734375.\\nJohan Bollen is affiliated with Old Dominion University, Norfolk, Virginia, USA and ndiana University, Bloomington, IN, USA.\\nThe alternative names for Johan Bollen are Bollen Jc and Bollen J. Bollen.\\n\\\"Marko A. Rodriguez and Johan Bollen: Simulating Network Influence Algorithms Using Particle-Swarms: PageRank and PageRank-Priors (2006), Nathaniel Rodriguez et al.: Collective dynamics of belief evolution under cognitive coherence and social conformity. (2015), Johan Bollen et al.: Usage derived recommendations for a video digital library. (2007), Krishna C. Bathina et al.: Depressed individuals\\nJohan Bollen has a ByCount of 9231.\\nJohan Bollen has an h-index of 33.\\nJohan Bollen has an i10Index of 71.\\nJohan Bollen is the creator and the author of Johan Bollen.\\nJohan Bollen's link is http://www.wikidata.org/entity/Q16213455, https://www.cs.odu.edu/<unk>jbollen/, https://scholar.google.com/citations?user=jDmcdsUAAAAJ, and https://dl.acm.org/profile/81100608309.\\nJohan Bollen is a member of Indiana University, Bloomington.\\nJohan Bollen was modified on 2023-10-18.\\nJohan Bollen is the name of Johan Bollen.\\nJohan Bollen can be found at https://orcid.org/0000-0001-7031-9293.\\nJohan Bollen's primary affiliation is ndiana University, Bloomington, IN, USA.\\nJohan Bollen has 172 works.{'author_wikipedia_text': 'Johan Lambert Trudo Maria Bollen (born 1971) is a scientist investigating complex systems and networks, the relation between social media and a variety of socio-economic phenomena such as the financial markets, public health, and social well-being, as well as Science of Science with a focus on impact metrics derived from usage data. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. He is best known for his work on scholarly impact metrics, measuring public well-being from large-scale social media data, and correlating Twitter mood to stock market prices.\\\\nHe has taught courses on data mining, information retrieval, and digital libraries. His research has been funded by The Andrew W. Mellon Foundation, National Science Foundation, Library of Congress, National Aeronautics and Space Administration and the Los Alamos National Laboratory. In his free time, he DJs at the Root Cellar Lounge in Bloomington, Indiana. He specializes in Deep House and Techno.\\\\nBollen received his MS in experimental psychology from the Free University of Brussels in 1993 after a master thesis \\\"Learning to Select Activities: a Conditionable System for an Autonomous Robot that Learns to Use Drive Reduction as Reinforcement.\\\" He defended his Ph.D. in psychology from the Free University of Brussels in October 2001 on the subject of cognitive models of human hypertext navigation.\\\\nFrom 2002 to 2005 he was an assistant professor at the Department of Computer Science of Old Dominion University. He was a staff scientist at the Los Alamos National Laboratory from 2005 to 2009. He is currently a professor at the Indiana University School of Informatics and Computing.\\\\nBollen\\\\'s work has been extensively covered in the press and popular media and has received over 6,900 citations (2016 h-index 33). Bollen was awarded two patents: one for \\\"Usage based indicators to assess the impact of scholarly works: architecture and method\\\" (US 8135662 B2) and \\\"Predicting economic trends via network communication mood tracking\\\" (US 8380607 B2). His work has found widespread application, e.g. in systems for digital library recommendations systems (Ex Libris bX Recommender Service) and in systems that use social media information to generate financial trading signals. As a result of his work on predicting the stock market based on Twitter mood, Derwent Capital Markets started the Absolute Return fund, the worlds\\\\'s first Twitter hedge fund. However, it later shut down after thirteen months.\\\\nBollen has published over 70 papers. A selection of the highly cited ones:'}\",\n \"verbalizer_plus_evidence_matching\": \"Johan Bollen and Michael L. Nelson: Distributed Computing Architectures for Digital Libraries Workshop. (2002), Marko A. Rodriguez et al.: The Convergence of Digital-Libraries and the Peer-Review Process. (2003), Johan Bollen et al.: Detecting Research Trends in Digital Library Readership. (2003), Mariella Di Giacomo et al.: MyLibrary, A Personalization Service for Digital Library Environments. ( He is currently a professor at the Indiana University School of Informatics and Computing. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. \\\\nFrom 2002 to 2005 he was an assistant professor at the Department of Computer Science of Old Dominion University. \\\\nHe has taught courses on data mining, information retrieval, and digital libraries\"\n}"}}},{"rowIdx":93,"cells":{"id":{"kind":"string","value":"bbfae04e-1b32-4138-8ed0-ab2558595e89"},"triples_number":{"kind":"number","value":229,"string":"229"},"question":{"kind":"string","value":"What is the type of the organization where the author of the paper 'Achieving Master Level Play in 9 x 9 Computer Go' is affiliated?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"19\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"20\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"27\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"27\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"138.7872314453125\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"DeepMind, London, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"University College London, UK\",\n \"predicate\": \"affiliation\",\n \"subject\": \"David Silver\"\n },\n {\n \"object\": \"D. 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(2015)\"\n },\n {\n \"object\": \"David Silver\",\n \"predicate\": \"authored by\",\n \"subject\": \"David Silver et al.: The Predictron: End-To-End Learning and Planning. (2017)\"\n },\n {\n \"object\": \"David Silver\",\n \"predicate\": \"authored by\",\n \"subject\": \"Richard S. Sutton et al.: Fast gradient-descent methods for temporal-difference learning with linear function approximation. (2009)\"\n },\n {\n \"object\": \"David Silver\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zeyu Zheng et al.: What Can Learned Intrinsic Rewards Capture? (2020)\"\n },\n {\n \"object\": \"David Silver\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hado van Hasselt et al.: Expected Eligibility Traces. (2021)\"\n },\n {\n \"object\": \"David Silver\",\n \"predicate\": \"authored by\",\n \"subject\": \"Matteo Hessel et al.: Rainbow: Combining Improvements in Deep Reinforcement Learning. 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David Silver modified 2023-10-18. David Silver citedByCount 79922. David Silver written paper amount in year2012: 17. David Silver written paper amount in year2012: 17. David Silver written paper amount in year2013: 10. David Silver written paper amount in year2013: 10. David Silver written paper amount in year2014: 10. David Silver written paper amount in year2014: 10. David Silver written paper amount in year2015: 18. David Silver written paper amount in year2015: 18. David Silver written paper amount in year2016: 21. David Silver written paper amount in year2016: 21. David Silver written paper amount in year2017: 20. David Silver written paper amount in year2017: 20. David Silver written paper amount in year2018: 21. David Silver written paper amount in year2018: 21. David Silver written paper amount in year2019: 19. David Silver written paper amount in year2019: 19. David Silver written paper amount in year2020: 20. David Silver written paper amount in year2020: 20. 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David Silver link https://www.davidsilver.uk/. David Silver primary affiliation DeepMind, London, UK. David Silver link https://www.davidsilver.uk/. David Silver link https://dl.acm.org/profile/81100336678. David Silver link https://mathscinet.ams.org/mathscinet/MRAuthorID/942155. David Silver link https://scholar.google.com/citations?user=-8DNE4UAAAAJ. David Silver link https://mathgenealogy.org/id.php?id=222152. David Silver link https://en.wikipedia.org/wiki/David_Silver_(computer_scientist). David Silver link https://awards.acm.org/award_winners/silver_4656626. Will Dabney et al.: Implicit Quantile Networks for Distributional Reinforcement Learning. (2018) authored by David Silver. Arthur Guez et al.: An Investigation of Model-Free Planning. (2019) authored by David Silver. Tom Schaul et al.: Universal Value Function Approximators. (2015) authored by David Silver. David Silver et al.: The Predictron: End-To-End Learning and Planning. (2017) authored by David Silver. Richard S. Sutton et al.: Fast gradient-descent methods for temporal-difference learning with linear function approximation. (2009) authored by David Silver. Zeyu Zheng et al.: What Can Learned Intrinsic Rewards Capture? (2020) authored by David Silver. Hado van Hasselt et al.: Expected Eligibility Traces. (2021) authored by David Silver. Matteo Hessel et al.: Rainbow: Combining Improvements in Deep Reinforcement Learning. (2018) authored by David Silver. André Barreto et al.: Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. (2018) authored by David Silver. Sylvain Gelly and David Silver: Combining online and offline knowledge in UCT. (2007) authored by David Silver. Arthur Guez et al.: Learning to Search with MCTSnets. (2018) authored by David Silver. Matteo Hessel et al.: Muesli: Combining Improvements in Policy Optimization. (2021) authored by David Silver. Thomas Hubert et al.: Learning and Planning in Complex Action Spaces. (2021) authored by David Silver. Max Jaderberg et al.: Decoupled Neural Interfaces using Synthetic Gradients. (2017) authored by David Silver. David Silver et al.: Deterministic Policy Gradient Algorithms. (2014) authored by David Silver. David Silver et al.: Concurrent Reinforcement Learning from Customer Interactions. (2013) authored by David Silver. David Silver and Gerald Tesauro: Monte-Carlo simulation balancing. (2009) authored by David Silver. Richard S. Sutton et al.: On the role of tracking in stationary environments. (2007) authored by David Silver. S. R. K. Branavan et al.: Non-Linear Monte-Carlo Search in Civilization II. (2011) authored by David Silver. David Silver et al.: Reinforcement Learning of Local Shape in the Game of Go. (2007) authored by David Silver. Théophane Weber et al.: Credit Assignment Techniques in Stochastic Computation Graphs. (2019) authored by David Silver. Volodymyr Mnih et al.: Asynchronous Methods for Deep Reinforcement Learning. (2016) authored by David Silver. Alexander Sasha Vezhnevets et al.: FeUdal Networks for Hierarchical Reinforcement Learning. (2017) authored by David Silver. Aaron Morris et al.: Towards Topological Exploration of Abandoned Mines. (2005) authored by David Silver. David M. Bradley et al.: A regional point descriptor for global topological localization in flooded subterranean environments. (2004) authored by David Silver. David Silver et al.: Scan matching for flooded subterranean voids. (2004) authored by David Silver. Nicolas Heess et al.: Learning Continuous Control Policies by Stochastic Value Gradients. (2015) authored by David Silver. Johannes Heinrich et al.: Fictitious Self-Play in Extensive-Form Games. (2015) authored by David Silver. David Silver and Kamil Ciosek: Compositional Planning Using Optimal Option Models. (2012) authored by David Silver. David Silver et al.: Sample-based learning and search with permanent and transient memories. (2008) authored by David Silver. David Silver et al.: Active learning from demonstration for robust autonomous navigation. (2012) authored by David Silver. David Silver et al.: Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning. (2009) authored by David Silver. S. R. K. Branavan et al.: Learning to Win by Reading Manuals in a Monte-Carlo Framework. (2011) authored by David Silver. David Silver et al.: Temporal-Difference Search in Computer Go. (2013) authored by David Silver. André Barreto et al.: The Option Keyboard: Combining Skills in Reinforcement Learning. (2019) authored by David Silver. Gregory Farquhar et al.: Self-Consistent Models and Values. (2021) authored by David Silver. Christopher Grimm et al.: Proper Value Equivalence. (2021) authored by David Silver. Marc Lanctot et al.: A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. (2017) authored by David Silver. Joel Veness et al.: Bootstrapping from Game Tree Search. (2009) authored by David Silver. Will Dabney et al.: The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. (2021) authored by David Silver. Hado van Hasselt et al.: Deep Reinforcement Learning with Double Q-Learning. (2016) authored by David Silver. Joel Veness et al.: Reinforcement Learning via AIXI Approximation. (2010) authored by David Silver. David Silver et al.: Password Managers: Attacks and Defenses. (2014) authored by David Silver. Nicolas Heess et al.: Actor-Critic Reinforcement Learning with Energy-Based Policies. (2012) authored by David Silver. David Silver: Gradient Temporal Difference Networks. (2012) authored by David Silver. Vivek Veeriah et al.: Discovery of Useful Questions as Auxiliary Tasks. (2019) authored by David Silver. Thomas Hubert et al.: Learning and Planning in Complex Action Spaces. (2021) authored by David Silver. Volodymyr Mnih et al.: Playing Atari with Deep Reinforcement Learning. (2013) authored by David Silver. Theophane Weber et al.: Imagination-Augmented Agents for Deep Reinforcement Learning. (2017) authored by David Silver. Sylvain Gelly and David Silver: Achieving Master Level Play in 9 x 9 Computer Go. (2008) authored by David Silver. David Silver et al.: Arc Carving: Obtaining Accurate, Low Latency Maps from Ultrasonic Range Sensors. (2004) authored by David Silver. Arthur Guez et al.: Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. (2012) authored by David Silver. Zhongwen Xu et al.: Meta-Gradient Reinforcement Learning with an Objective Discovered Online. (2020) authored by David Silver. André Barreto et al.: Successor Features for Transfer in Reinforcement Learning. (2017) authored by David Silver. Hado van Hasselt et al.: Learning values across many orders of magnitude. (2016) authored by David Silver. John Vines et al.: Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology. (2015) authored by David Silver. Johannes Heinrich and David Silver: Smooth UCT Search in Computer Poker. (2015) authored by David Silver. Ioannis Antonoglou et al.: Planning in Stochastic Environments with a Learned Model. (2022) authored by David Silver. Ivo Danihelka et al.: Policy improvement by planning with Gumbel. (2022) authored by David Silver. Max Jaderberg et al.: Reinforcement Learning with Unsupervised Auxiliary Tasks. (2017) authored by David Silver. David Silver et al.: Learning by Directional Gradient Descent. (2022) authored by David Silver. David Silver: Cooperative Pathfinding. (2005) authored by David Silver. David Silver et al.: High Performance Outdoor Navigation from Overhead Data using Imitation Learning. (2008) authored by David Silver. David M. Bradley et al.: Scene understanding for a high-mobility walking robot. (2015) authored by David Silver. David Silver and Anthony Stentz: Monte Carlo Localization and registration to prior data for outdoor navigation. (2011) authored by David Silver. David Silver et al.: Feature extraction for topological mine maps. (2004) authored by David Silver. David Silver et al.: Experimental Analysis of Overhead Data Processing To Support Long Range Navigation. (2006) authored by David Silver. David Silver: History, Hype, and Hope: An Afterward. (2008) authored by David Silver. Arthur Guez et al.: Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search. (2013) authored by David Silver. Gregory Farquhar et al.: Self-Consistent Models and Values. (2021) authored by David Silver. Nicolas Heess et al.: Learning and Transfer of Modulated Locomotor Controllers. (2016) authored by David Silver. Hado van Hasselt et al.: Expected Eligibility Traces. (2020) authored by David Silver. Sebastian Flennerhag et al.: Bootstrapped Meta-Learning. (2021) authored by David Silver. André Barreto et al.: Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. (2019) authored by David Silver. Kamil Ciosek and David Silver: Value Iteration with Options and State Aggregation. (2015) authored by David Silver. Ian Osband et al.: Behaviour Suite for Reinforcement Learning. (2019) authored by David Silver. Matteo Hessel et al.: Muesli: Combining Improvements in Policy Optimization. (2021) authored by David Silver. Oriol Vinyals et al.: StarCraft II: A New Challenge for Reinforcement Learning. (2017) authored by David Silver. Tom Zahavy et al.: Self-Tuning Deep Reinforcement Learning. (2020) authored by David Silver. Christopher Grimm et al.: The Value Equivalence Principle for Model-Based Reinforcement Learning. (2020) authored by David Silver. Zeyu Zheng et al.: What Can Learned Intrinsic Rewards Capture? (2019) authored by David Silver. Marc Lanctot et al.: A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. (2017) authored by David Silver. Christopher Grimm et al.: Proper Value Equivalence. (2021) authored by David Silver. Théophane Weber et al.: Credit Assignment Techniques in Stochastic Computation Graphs. (2019) authored by David Silver. David Silver et al.: Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. (2017) authored by David Silver. Arthur Guez et al.: An investigation of model-free planning. (2019) authored by David Silver. Alexander Sasha Vezhnevets et al.: FeUdal Networks for Hierarchical Reinforcement Learning. (2017) authored by David Silver. Arthur Guez et al.: Bayes-Adaptive Simulation-based Search with Value Function Approximation. (2014) authored by David Silver. Hamid Reza Maei et al.: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation. (2009) authored by David Silver. Junhyuk Oh et al.: Discovering Reinforcement Learning Algorithms. (2020) authored by David Silver. Julian Schrittwieser et al.: Online and Offline Reinforcement Learning by Planning with a Learned Model. (2021) authored by David Silver. David Silver and Joel Veness: Monte-Carlo Planning in Large POMDPs. (2010) authored by David Silver. Vivek Veeriah et al.: Discovery of Useful Questions as Auxiliary Tasks. (2019) authored by David Silver. Vivek Veeriah et al.: Discovery of Options via Meta-Learned Subgoals. (2021) authored by David Silver. Sébastien Racanière et al.: Imagination-Augmented Agents for Deep Reinforcement Learning. (2017) authored by David Silver. Zhongwen Xu et al.: Meta-Gradient Reinforcement Learning. (2018) authored by David Silver. Zhongwen Xu et al.: Natural Value Approximators: Learning when to Trust Past Estimates. (2017) authored by David Silver. Tom Zahavy et al.: A Self-Tuning Actor-Critic Algorithm. (2020) authored by David Silver. David Silver et al.: Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain. (2010) authored by David Silver. Alhussein Fawzi et al.: Discovering faster matrix multiplication algorithms with reinforcement learning. (2022) authored by David Silver. Daniel J. Mankowitz et al.: Faster sorting algorithms discovered using deep reinforcement learning. (2023) authored by David Silver. Volodymyr Mnih et al.: Human-level control through deep reinforcement learning. (2015) authored by David Silver. Julian Schrittwieser et al.: Mastering Atari, Go, chess and shogi by planning with a learned model. (2020) authored by David Silver. Andrew W. Senior et al.: Improved protein structure prediction using potentials from deep learning. (2020) authored by David Silver. David Silver et al.: Mastering the game of Go with deep neural networks and tree search. (2016) authored by David Silver. David Silver et al.: Mastering the game of Go without human knowledge. (2017) authored by David Silver. Oriol Vinyals et al.: Grandmaster level in StarCraft II using multi-agent reinforcement learning. (2019) authored by David Silver. J. Andrew Bagnell et al.: Learning for Autonomous Navigation. (2010) authored by David Silver. David Silver et al.: The Predictron: End-To-End Learning and Planning. (2016) authored by David Silver. Julian Schrittwieser et al.: Online and Offline Reinforcement Learning by Planning with a Learned Model. (2021) authored by David Silver. Volodymyr Mnih et al.: Asynchronous Methods for Deep Reinforcement Learning. (2016) authored by David Silver. Yutian Chen et al.: Bayesian Optimization in AlphaGo. (2018) authored by David Silver. Arun Nair et al.: Massively Parallel Methods for Deep Reinforcement Learning. (2015) authored by David Silver. Daniel J. Mankowitz et al.: Unicorn: Continual Learning with a Universal, Off-policy Agent. (2018) authored by David Silver. David Silver: Learning Preference Models for Autonomous Mobile Robots in Complex Domains. (2010) authored by David Silver. Christopher Grimm et al.: The Value Equivalence Principle for Model-Based Reinforcement Learning. (2020) authored by David Silver. Arthur Guez et al.: Value-driven Hindsight Modelling. (2020) authored by David Silver. Diana Borsa et al.: Universal Successor Features Approximators. (2019) authored by David Silver. Sebastian Flennerhag et al.: Bootstrapped Meta-Learning. (2022) authored by David Silver. Dan Horgan et al.: Distributed Prioritized Experience Replay. (2018) authored by David Silver. Ian Osband et al.: Behaviour Suite for Reinforcement Learning. (2020) authored by David Silver. Brad Lisien et al.: Hierarchical simultaneous localization and mapping. (2003) authored by David Silver. David Silver et al.: Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain. (2009) authored by David Silver. David Silver et al.: Topological Global Localization for Subterranean Voids. (2005) authored by David Silver. David Silver et al.: Learning Autonomous Driving Styles and Maneuvers from Expert Demonstration. (2012) authored by David Silver. David Silver: Digital natives on a media fast. (2012) authored by David Silver. Sylvain Gelly and David Silver: Monte-Carlo tree search and rapid action value estimation in computer Go. (2011) authored by David Silver. David Silver: Book Review: Life Online: Researching Real Experience in Virtual Space. (2000) authored by David Silver. David Silver: Internet/Cyberculture/ Digital Culture/New Media/ Fill-in-the-Blank Studies. (2004) authored by David Silver. S. R. K. Branavan et al.: Learning to Win by Reading Manuals in a Monte-Carlo Framework. (2014) authored by David Silver. Matteo Hessel et al.: Rainbow: Combining Improvements in Deep Reinforcement Learning. (2017) authored by David Silver. Zhongwen Xu et al.: Meta-Gradient Reinforcement Learning. (2018) authored by David Silver. Greg Wayne et al.: Unsupervised Predictive Memory in a Goal-Directed Agent. (2018) authored by David Silver. Max Jaderberg et al.: Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. (2018) authored by David Silver. Sylvain Gelly et al.: The grand challenge of computer Go: Monte Carlo tree search and extensions. (2012) authored by David Silver. David Silver: Technical perspective: Solving imperfect information games. (2017) authored by David Silver. André Barreto et al.: Fast reinforcement learning with generalized policy updates. (2020) authored by David Silver. Chris J. Maddison et al.: Move Evaluation in Go Using Deep Convolutional Neural Networks. (2015) authored by David Silver. Matteo Hessel et al.: On Inductive Biases in Deep Reinforcement Learning. (2019) authored by David Silver. Hado van Hasselt et al.: Deep Reinforcement Learning with Double Q-learning. (2015) authored by David Silver. Joel Veness et al.: Reinforcement Learning via AIXI Approximation (2010) authored by David Silver. Arthur Guez et al.: Learning to Search with MCTSnets. (2018) authored by David Silver. Zhongwen Xu et al.: Meta-Gradient Reinforcement Learning with an Objective Discovered Online. (2020) authored by David Silver. Will Dabney et al.: Implicit Quantile Networks for Distributional Reinforcement Learning. (2018) authored by David Silver. Nicolas Heess et al.: Memory-based control with recurrent neural networks. (2015) authored by David Silver. David Silver et al.: Temporal-difference search in computer Go. (2012) authored by David Silver. Brad Lisien et al.: The hierarchical atlas. (2005) authored by David Silver. Yutaka Matsuo et al.: Deep learning, reinforcement learning, and world models. (2022) authored by David Silver. Ron Sun et al.: Introduction to the special issue on deep reinforcement learning: An editorial. (2018) authored by David Silver. S. R. K. Branavan et al.: Learning to Win by Reading Manuals in a Monte-Carlo Framework. (2012) authored by David Silver. Joel Veness et al.: A Monte-Carlo AIXI Approximation. (2011) authored by David Silver. Aaron Morris et al.: Recent developments in subterranean robotics. (2006) authored by David Silver. David Silver et al.: Topological exploration of subterranean environments. (2006) authored by David Silver. Nathan D. Ratliff et al.: Learning to search: Functional gradient techniques for imitation learning. (2009) authored by David Silver. David Silver et al.: Reward is enough. (2021) authored by David Silver. Nicolas Heess et al.: Learning Continuous Control Policies by Stochastic Value Gradients. (2015) authored by David Silver. Max Jaderberg et al.: Reinforcement Learning with Unsupervised Auxiliary Tasks. (2016) authored by David Silver. Hado van Hasselt et al.: Learning functions across many orders of magnitudes. (2016) authored by David Silver. Rohan Anil et al.: Gemini: A Family of Highly Capable Multimodal Models. (2023) authored by David Silver. Junhyuk Oh et al.: Discovering Reinforcement Learning Algorithms. (2020) authored by David Silver. Julian Schrittwieser et al.: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. (2019) authored by David Silver. Joel Veness et al.: A Monte Carlo AIXI Approximation (2009) authored by David Silver. Will Dabney et al.: The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. (2020) authored by David Silver. Diana Borsa et al.: Universal Successor Features Approximators. (2018) authored by David Silver. André Barreto et al.: Successor Features for Transfer in Reinforcement Learning. (2016) authored by David Silver. Julien Pérolat et al.: Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. (2022) authored by David Silver. André Barreto et al.: The Option Keyboard: Combining Skills in Reinforcement Learning. (2021) authored by David Silver. Dan Horgan et al.: Distributed Prioritized Experience Replay. (2018) authored by David Silver. Johannes Heinrich and David Silver: Deep Reinforcement Learning from Self-Play in Imperfect-Information Games. (2016) authored by David Silver. Nicolas Heess et al.: Emergence of Locomotion Behaviours in Rich Environments. (2017) authored by David Silver. Vivek Veeriah et al.: Discovery of Options via Meta-Learned Subgoals. (2021) authored by David Silver. Arthur Guez et al.: Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search (2012) authored by David Silver. Arthur Guez et al.: Better Optimism By Bayes: Adaptive Planning with Rich Models. (2014) authored by David Silver. Timothy P. Lillicrap et al.: Continuous control with deep reinforcement learning. (2016) authored by David Silver. Arthur Guez et al.: Value-driven Hindsight Modelling. (2020) authored by David Silver. Tom Schaul et al.: Unit Tests for Stochastic Optimization. (2014) authored by David Silver. Tom Schaul et al.: Prioritized Experience Replay. (2016) authored by David Silver{'author_wikipedia_text': \\\"David Silver FRS (born 1976) is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.\\\\nHe studied at Christ's College, Cambridge, graduating in 1997 with the Addison-Wesley award, and having befriended Demis Hassabis whilst at Cambridge. Silver returned to academia in 2004 at the University of Alberta to study for a PhD on reinforcement learning, where he co-introduced the algorithms used in the first master-level 9×9 Go programs and graduated in 2009. His version of program MoGo (co-authored with Sylvain Gelly) was one of the strongest Go programs as of 2009.\\\\nAfter graduating from university, Silver co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation.\\\\nSilver was awarded a Royal Society University Research Fellowship in 2011, and subsequently became a lecturer at University College London. His lectures on Reinforcement Learning are available on YouTube. Silver consulted for Google DeepMind from its inception, joining full-time in 2013.\\\\nHis recent work has focused on combining reinforcement learning with deep learning, including a program that learns to play Atari games directly from pixels. Silver led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go. AlphaGo subsequently received an honorary 9 Dan Professional Certification; and won the Cannes Lion award for innovation. He then led development of AlphaZero, which used the same AI to learn to play Go from scratch (learning only by playing itself and not from human games) before learning to play chess and shogi in the same way, to higher levels than any other computer program.\\\\nSilver is among the most published members of staff at Google DeepMind, with over 170,000 citations and has an h-index of 86 according to Google scholar.\\\\nSilver was awarded the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing.\\\\nIn 2021, Silver was elected Fellow of the Royal Society (FRS) for his contributions to Deep Q-Networks and AlphaGo. He was elected a Fellow of the Association for the Advancement of Artificial Intelligence in 2022.\\\"}\",\n \"verbalizer_on_all_triples\": \"David Silver wrote 17 papers in 2012.\\nDavid Silver's written paper amount in year 2013 is 10 pages.\\nDavid Silver wrote 10 papers in 2014.\\nDavid Silver wrote 18 papers in 2015.\\nDavid Silver's written paper amount in year 2016 is 21.\\nDavid Silver's written paper amount in year 2017 is 20.\\nDavid Silver's written paper amount in year 2018 is 21.\\nDavid Silver's written paper amount in year 2019 is 19,000.\\nDavid Silver's written paper amount in year 2020 is 20.\\nDavid Silver's written paper amount in year2021 is 27.\\nDavid Silver's written paper amount in year2022 is 9.\\nDavid Silver's written paper amount in year2023 is 7.\\nDavid Silver's 2YrMeanCitedness is 138.7872314453125.\\nDavid Silver is affiliated with the University College London, UK and DeepMind, London.\\nDavid Silver is also known as D.L. Silver and David Lawrence Silver.\\n\\\"Ivo Danihelka et al.: Policy improvement by planning with Gumbel. (2022), André Barreto et al.: Fast reinforcement learning with generalized policy updates. (2020), S. R. K. Branavan et al.: Non-Linear Monte-Carlo Search in Civilization II. (2011), Sebastian Flennerhag et al.: Bootstrapped Meta-Learning. (2022), Sylvain Gelly and David Silver:\\nDavid Silver cited ByCount: 79922.\\nDavid Silver's h-index is 67.\\nDavid Silver's i10Index is 139.\\nDavid Silver is the creator and the author of David Silver.\\nDavid Silver's link is \\\"https://mathscinet.ams.org/mathscinet/MRAuthorID/942155, https://dl.acm.org/profile/81100336678, https://mathgenealogy.org/id.php?id=222152, https://en.wikipedia.org/wiki/David_Silver_(computer_scientist), https://www.davidsilver.uk\\nDavid Silver is a member of DeepMind (United Kingdom).\\nDavid Silver was modified on 2023-10-18.\\nDavid Silver's name is David Silver.\\nDavid Silver can be found at https://orcid.org/0000-0002-5197-2892.\\nDavid Silver's primary affiliation is DeepMind, London, UK.\\nDavid Silver has 267 works count.{'author_wikipedia_text': \\\"David Silver FRS (born 1976) is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.\\\\nHe studied at Christ's College, Cambridge, graduating in 1997 with the Addison-Wesley award, and having befriended Demis Hassabis whilst at Cambridge. Silver returned to academia in 2004 at the University of Alberta to study for a PhD on reinforcement learning, where he co-introduced the algorithms used in the first master-level 9×9 Go programs and graduated in 2009. His version of program MoGo (co-authored with Sylvain Gelly) was one of the strongest Go programs as of 2009.\\\\nAfter graduating from university, Silver co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation.\\\\nSilver was awarded a Royal Society University Research Fellowship in 2011, and subsequently became a lecturer at University College London. His lectures on Reinforcement Learning are available on YouTube. Silver consulted for Google DeepMind from its inception, joining full-time in 2013.\\\\nHis recent work has focused on combining reinforcement learning with deep learning, including a program that learns to play Atari games directly from pixels. Silver led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go. AlphaGo subsequently received an honorary 9 Dan Professional Certification; and won the Cannes Lion award for innovation. He then led development of AlphaZero, which used the same AI to learn to play Go from scratch (learning only by playing itself and not from human games) before learning to play chess and shogi in the same way, to higher levels than any other computer program.\\\\nSilver is among the most published members of staff at Google DeepMind, with over 170,000 citations and has an h-index of 86 according to Google scholar.\\\\nSilver was awarded the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing.\\\\nIn 2021, Silver was elected Fellow of the Royal Society (FRS) for his contributions to Deep Q-Networks and AlphaGo. He was elected a Fellow of the Association for the Advancement of Artificial Intelligence in 2022.\\\"}\",\n \"verbalizer_plus_evidence_matching\": \"\\\"S. R. K. Branavan et al.: Learning to Win by Reading Manuals in a Monte-Carlo Framework.\\\" (2014), David Silver: Book Review: Life Online: Researching Real Experience in Virtual Space. (2000), Sylvain Gelly et al.: The grand challenge of computer Go: Monte Carlo tree search and extensions. (2012), Johannes Heinrich and David Silver: Smooth UCT Search in Computer Poker. (2015), David Silver: Cooperative Pathfinding. (2005), Sy\\nDavid Silver (computer scientist) can be found at https://en.wikipedia.org/wiki/David_Silver.\\\\nSilver was awarded the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing. \\\\nAfter graduating from university, Silver co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation. Silver led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go\"\n}"}}},{"rowIdx":94,"cells":{"id":{"kind":"string","value":"92302fa1-a351-4a22-9588-7c5afb8c5b98"},"triples_number":{"kind":"number","value":134,"string":"134"},"question":{"kind":"string","value":"How many publications did the author who published 'The tactical Tomahawk conundrum: designing decision support systems for revolutionary domains' in the SMC journal in 2003 create?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"9\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"8\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"13\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"0.64285713434219360352\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"MIT, Cambridge, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Duke Robotics, Humans & Autonomy Lab, Durham, NC, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"M. Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"M. L. Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Mary Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Mary L. ‘Missy’ Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Mary Louise Cummings\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Mary L. Cummings\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Predicting Operator Capacity for Supervisory Control of Multiple UAVs. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Luca F. Bertuccelli and Mary L. Cummings: Scenario-based robust scheduling for collaborative human-UAV visual search tasks. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Christopher W. Berardi et al.: Investigating the efficacy of network visualizations for intelligence tasks. (2013)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birsen Donmez and Mary L. Cummings: Metric selection for evaluating human supervisory control of unmanned vehicles. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birsen Donmez et al.: Modified Cooper Harper scales for assessing unmanned vehicle displays. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birsen Donmez et al.: Evaluation criteria for human-automation performance metrics. (2008)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Brian Mekdeci and Mary L. Cummings: Modeling multiple human operators in the supervisory control of heterogeneous unmanned vehicles. (2009)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Ben Bauchwitz: Driver Alerting in ADAS-Equipped Cars: A Field Study. (2023)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fei Gao and Mary L. Cummings: Barriers to Robust and Effective Human-Agent Teamwork. (2014)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fei Gao et al.: Modeling the Impact of Operator Trust on Performance in Multiple Robot Control. (2013)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Luca F. Bertuccelli et al.: Choice modeling of relook tasks for UAV search missions. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Marvin S. Cohen et al.: Cognition and game theory in the design of a collaboration manager for shared control of multiple UV assets. (2008)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacob W. Crandall and Mary L. Cummings: Developing performance metrics for the supervisory control of multiple robots. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pierre C. P. Maere et al.: Assessing operator strategies for adjusting replan alerts in controlling multiple unmanned vehicles. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacqueline M. Tappan et al.: Mobile application for utility domains. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erin Treacy Solovey et al.: A Field Study of Multimodal Alerts for an Autonomous Threat Detection System. (2017)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Sylvain Bruni: Collaborative Human-Automation Decision Making. (2009)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fei Gao et al.: Teamwork in controlling multiple robots. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Stephanie A. Guerlain: The tactical Tomahawk conundrum: designing decision support systems for revolutionary domains. (2003)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Haibei Zhu et al.: Human Augmentation of UAV Cyber-Attack Detection. (2018)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andrew S. Clare et al.: Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Haibei Zhu and Mary L. Cummings: The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jason C. Ryan et al.: Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations. (2014)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mahmoud Elfar et al.: Security-Aware Synthesis of Human-UAV Protocols. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mark Ashdown and Mary L. Cummings: Asymmetric Synchronous Collaboration Within Distributed Teams. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacqueline M. Tappan et al.: Display Requirements for an Interactive Rail Scheduling Display. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Haibei Zhu et al.: Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios. (2020)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erin Treacy Solovey et al.: CODA: Mobile interface for enabling safer navigation of unmanned aerial vehicles in real-world settings. (2021)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andrew S. Clare et al.: Assessing operator strategies for real-time replanning of multiple unmanned vehicles. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Sylvain Bruni: Human-automated planner collaboration in complex resource allocation decision support systems. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andrew S. Clare et al.: Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles. (2015)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: The Role of Human-Automation Consensus in Multiple Unmanned Vehicle Scheduling. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Boredom in the Workplace: A New Look at an Old Problem. (2016)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Ben Bauchwitz: Safety Implications of Variability in Autonomous Driving Assist Alerting. (2022)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ufuk Topcu et al.: Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust. (2020)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings: Ethical and social issues in the design of weapon control computer interfaces. (2003)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Missy L. Cummings and Jenny Lo: Globalizing engineering ethics education through Web-based instruction. (2004)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Erin Treacy Solovey et al.: Collision avoidance interface for safe piloting of unmanned vehicles using a mobile device. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Kristopher M. Thornburg: Paying Attention to the Man behind the Curtain. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Defining the Tradespace for Passively Defending Against Rogue Drones. (2021)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings: The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations. (2004)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Paul J. Mitchell: Predicting Controller Capacity in Supervisory Control of Multiple UAVs. (2008)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Luca F. Bertuccelli and Mary L. Cummings: Operator Choice Modeling for Collaborative UAV Visual Search Tasks. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birsen Donmez et al.: Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control. (2010)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yves Boussemart et al.: Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings: Rethinking the Maturity of Artificial Intelligence in Safety-Critical Settings. (2021)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Alexander J. Stimpson: Identifying Critical Contextual Design Cues Through a Machine Learning Approach. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mahmoud Elfar et al.: Platform for security-aware design of human-on-the-loop cyber-physical systems. (2017)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacob W. Crandall et al.: Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. (2011)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacob W. Crandall and Mary L. Cummings: Identifying Predictive Metrics for Supervisory Control of Multiple Robots. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Missy L. Cummings: The double-edged sword of secrecy in military weapon development. (2003)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings: Creating moral buffers in weapon control interface design. (2004)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Missy L. Cummings: Conducting online course dialogue on the ethics of weapons design. (2006)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings: Lethal Autonomous Weapons: Meaningful Human Control or Meaningful Human Certification? [Opinion]. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Stephanie A. Guerlain: Developing Operator Capacity Estimates for Supervisory Control of Autonomous Vehicles. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Effects of Single Versus Multiple Warnings on Driver Performance. (2007)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Birsen Donmez et al.: Auditory Decision Aiding in Supervisory Control of Multiple Unmanned Aerial Vehicles. (2009)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Songpo Li: Subjectivity in the Creation of Machine Learning Models. (2021)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Alexander J. Stimpson and Mary L. Cummings: Assessing Intervention Timing in Computer-Based Education Using Machine Learning Algorithms. (2014)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Task Versus Vehicle-Based Control Paradigms in Multiple Unmanned Vehicle Supervision by a Single Operator. (2014)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Fei Gao et al.: Modeling Teamwork in Supervisory Control of Multiple Robots. (2014)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Victoria Chibuogu Nneji et al.: Predicting Locomotive Crew Performance in Rail Operations with Human and Automation Assistance. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jason M. Rathje et al.: Human-Automation Collaboration in Occluded Trajectory Smoothing. (2013)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jason C. Ryan and Mary L. Cummings: A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations. (2016)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Haibei Zhu et al.: Operator Strategy Model Development in UAV Hacking Detection. (2019)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Andrew S. Clare et al.: Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jacob W. Crandall et al.: Predictive Model for Human-Unmanned Vehicle Systems. (2009)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Paul J. 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Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Wanyi Chen and Mary L. Cummings: Subjectivity in Unsupervised Machine Learning Model Selection. (2023)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"David J. Pitman and Mary L. Cummings: Collaborative Exploration with a Micro Aerial Vehicle: A Novel Interaction Method for Controlling a MAV with a Hand-Held Device. (2012)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mark Boyer et al.: Investigating Mental Workload Changes in a Long Duration Supervisory Control Task. (2015)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings et al.: Boredom and Distraction in Multiple Unmanned Vehicle Supervisory Control. (2013)\"\n },\n {\n \"object\": \"Mary L. Cummings\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mary L. Cummings and Amy S. 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(2019) authored by Mary L. Cummings. Mary L. Cummings: The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations. (2004) authored by Mary L. Cummings. Mary L. Cummings and Amy S. Brzezinski: Global vs. local decision support for multiple independent UAV schedule management. (2010) authored by Mary L. Cummings. Jason C. Ryan and Mary L. Cummings: A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations. (2016) authored by Mary L. Cummings. Jason C. Ryan and Mary L. Cummings: Effects of Safety Protocols on Unmanned Vehicle Ground Operations. (2015) authored by Mary L. Cummings. Mary L. Cummings and Sylvain Bruni: Collaborative Human-Automation Decision Making. (2009) authored by Mary L. Cummings. Missy L. Cummings: Conducting online course dialogue on the ethics of weapons design. (2006) authored by Mary L. Cummings. Mary L. Cummings: Creating moral buffers in weapon control interface design. (2004) authored by Mary L. Cummings. Mary L. Cummings and Sylvain Bruni: Human-automated planner collaboration in complex resource allocation decision support systems. (2010) authored by Mary L. Cummings. Mary L. Cummings et al.: Supporting intelligent and trustworthy maritime path planning decisions. (2010) authored by Mary L. Cummings Her doctoral thesis was Designing Decision Support Systems for Revolutionary Command and Control Domains. \\\" National Transportation Safety Board chair Jennifer Homendy surmised the Tesla advocates\\\\' responses to be a \\\"calculated attempt to distract from the real safety issues\\\". She became a fighter pilot shortly after the Combat Exclusion Policy was repealed in 1993, and her book Hornet\\\\'s Nest recounts her experience with discrimination and hostility as one of the first women in the fighter pilot community. \\\\nCummings\\\\'s research interests include human supervisory control, artificial intelligence, human-autonomous system collaboration and human-robot interaction, human-systems engineering, and the socio-ethical impact of technology. \\\\nCummings later parted ways with NHTSA and joined George Mason University as a professor and director of Mason\\\\'s Autonomy and Robotics Center. Secretary of Transportation Pete Buttigieg defended Cummings\\\\' appointment, and the NHTSA said that it was \\\"look[ing] forward to leveraging her experience and leadership in safety and autonomous technologies\",\n \"plain\": \"Mary L. Cummings is Author. Mary L. Cummings modified 2023-10-18. Mary L. Cummings citedByCount 2746. Mary L. Cummings written paper amount in year2012: 21. Mary L. Cummings written paper amount in year2012: 21. Mary L. Cummings written paper amount in year2013: 7. Mary L. Cummings written paper amount in year2013: 7. Mary L. Cummings written paper amount in year2014: 11. Mary L. Cummings written paper amount in year2014: 11. Mary L. Cummings written paper amount in year2015: 9. Mary L. Cummings written paper amount in year2015: 9. Mary L. Cummings written paper amount in year2016: 10. Mary L. Cummings written paper amount in year2016: 10. Mary L. Cummings written paper amount in year2017: 10. Mary L. Cummings written paper amount in year2017: 10. Mary L. Cummings written paper amount in year2018: 8. Mary L. Cummings written paper amount in year2018: 8. Mary L. Cummings written paper amount in year2019: 13. Mary L. Cummings written paper amount in year2019: 13. Mary L. Cummings written paper amount in year2020: 7. Mary L. Cummings written paper amount in year2020: 7. Mary L. Cummings written paper amount in year2021: 7. Mary L. Cummings written paper amount in year2021: 7. Mary L. Cummings written paper amount in year2022: 5. Mary L. Cummings written paper amount in year2022: 5. Mary L. Cummings written paper amount in year2023: 4. Mary L. Cummings written paper amount in year2023: 4. Mary L. Cummings worksCount 221. Mary L. Cummings name Mary L. Cummings. Mary L. Cummings member of George Mason University. Mary L. Cummings h-index 27. Mary L. Cummings 2YrMeanCitedness 0.64285713434219360352. Mary L. Cummings alternativeName M. Cummings. Mary L. Cummings alternativeName M. L. Cummings. Mary L. Cummings alternativeName Mary Cummings. Mary L. Cummings alternativeName Mary L. Cummings. Mary L. Cummings alternativeName Mary L. ‘Missy’ Cummings. Mary L. Cummings alternativeName Mary Louise Cummings. Mary L. Cummings i10Index 72. Mary L. Cummings orcidId https://orcid.org/0000-0003-2557-6930. Mary L. Cummings is Creator. Mary L. Cummings is Person. Mary L. Cummings link http://www.wikidata.org/entity/Q29492. Mary L. Cummings link http://www.wikidata.org/entity/Q87383377. Mary L. Cummings affiliation MIT, Cambridge, USA. Mary L. Cummings affiliation Duke Robotics, Humans & Autonomy Lab, Durham, NC, USA. Mary L. Cummings link http://www.ctie.monash.edu.au/hargrave/cummings.html. Mary L. Cummings link http://web.mit.edu/aeroastro/labs/halab/people.shtml. Mary L. Cummings primary affiliation Duke Robotics, Humans & Autonomy Lab, Durham, NC, USA. Mary L. Cummings link http://web.mit.edu/aeroastro/labs/halab/people.shtml. Mary L. Cummings link https://scholar.google.com/citations?user=TqARAGcAAAAJ. Mary L. Cummings link https://en.wikipedia.org/wiki/Missy_Cummings. Mary L. Cummings et al.: Predicting Operator Capacity for Supervisory Control of Multiple UAVs. (2007) authored by Mary L. Cummings. Luca F. Bertuccelli and Mary L. Cummings: Scenario-based robust scheduling for collaborative human-UAV visual search tasks. (2011) authored by Mary L. Cummings. Christopher W. Berardi et al.: Investigating the efficacy of network visualizations for intelligence tasks. (2013) authored by Mary L. Cummings. Birsen Donmez and Mary L. Cummings: Metric selection for evaluating human supervisory control of unmanned vehicles. (2010) authored by Mary L. Cummings. Birsen Donmez et al.: Modified Cooper Harper scales for assessing unmanned vehicle displays. (2010) authored by Mary L. Cummings. Birsen Donmez et al.: Evaluation criteria for human-automation performance metrics. (2008) authored by Mary L. Cummings. Brian Mekdeci and Mary L. Cummings: Modeling multiple human operators in the supervisory control of heterogeneous unmanned vehicles. (2009) authored by Mary L. Cummings. Mary L. Cummings and Ben Bauchwitz: Driver Alerting in ADAS-Equipped Cars: A Field Study. (2023) authored by Mary L. Cummings. Fei Gao and Mary L. Cummings: Barriers to Robust and Effective Human-Agent Teamwork. (2014) authored by Mary L. Cummings. Fei Gao et al.: Modeling the Impact of Operator Trust on Performance in Multiple Robot Control. (2013) authored by Mary L. Cummings. Luca F. Bertuccelli et al.: Choice modeling of relook tasks for UAV search missions. (2010) authored by Mary L. Cummings. Marvin S. Cohen et al.: Cognition and game theory in the design of a collaboration manager for shared control of multiple UV assets. (2008) authored by Mary L. Cummings. Jacob W. Crandall and Mary L. Cummings: Developing performance metrics for the supervisory control of multiple robots. (2007) authored by Mary L. Cummings. Pierre C. P. Maere et al.: Assessing operator strategies for adjusting replan alerts in controlling multiple unmanned vehicles. (2010) authored by Mary L. Cummings. Jacqueline M. Tappan et al.: Mobile application for utility domains. (2011) authored by Mary L. Cummings. Erin Treacy Solovey et al.: A Field Study of Multimodal Alerts for an Autonomous Threat Detection System. (2017) authored by Mary L. Cummings. Mary L. Cummings and Sylvain Bruni: Collaborative Human-Automation Decision Making. (2009) authored by Mary L. Cummings. Fei Gao et al.: Teamwork in controlling multiple robots. (2012) authored by Mary L. Cummings. Mary L. Cummings and Stephanie A. Guerlain: The tactical Tomahawk conundrum: designing decision support systems for revolutionary domains. (2003) authored by Mary L. Cummings. Haibei Zhu et al.: Human Augmentation of UAV Cyber-Attack Detection. (2018) authored by Mary L. Cummings. Andrew S. Clare et al.: Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles. (2012) authored by Mary L. Cummings. Haibei Zhu and Mary L. Cummings: The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models. (2019) authored by Mary L. Cummings. Jason C. Ryan et al.: Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations. (2014) authored by Mary L. Cummings. Mahmoud Elfar et al.: Security-Aware Synthesis of Human-UAV Protocols. (2019) authored by Mary L. Cummings. Mark Ashdown and Mary L. Cummings: Asymmetric Synchronous Collaboration Within Distributed Teams. (2007) authored by Mary L. Cummings. Jacqueline M. Tappan et al.: Display Requirements for an Interactive Rail Scheduling Display. (2011) authored by Mary L. Cummings. Haibei Zhu et al.: Quantitative Operator Strategy Comparisons across Human Supervisory Control Scenarios. (2020) authored by Mary L. Cummings. Erin Treacy Solovey et al.: CODA: Mobile interface for enabling safer navigation of unmanned aerial vehicles in real-world settings. (2021) authored by Mary L. Cummings. Andrew S. Clare et al.: Assessing operator strategies for real-time replanning of multiple unmanned vehicles. (2012) authored by Mary L. Cummings. Mary L. Cummings and Sylvain Bruni: Human-automated planner collaboration in complex resource allocation decision support systems. (2010) authored by Mary L. Cummings. Andrew S. Clare et al.: Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles. (2015) authored by Mary L. Cummings. Mary L. Cummings et al.: The Role of Human-Automation Consensus in Multiple Unmanned Vehicle Scheduling. (2010) authored by Mary L. Cummings. Mary L. Cummings et al.: Boredom in the Workplace: A New Look at an Old Problem. (2016) authored by Mary L. Cummings. Mary L. Cummings and Ben Bauchwitz: Safety Implications of Variability in Autonomous Driving Assist Alerting. (2022) authored by Mary L. Cummings. Ufuk Topcu et al.: Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust. (2020) authored by Mary L. Cummings. Mary L. Cummings: Ethical and social issues in the design of weapon control computer interfaces. (2003) authored by Mary L. Cummings. Missy L. Cummings and Jenny Lo: Globalizing engineering ethics education through Web-based instruction. (2004) authored by Mary L. Cummings. Erin Treacy Solovey et al.: Collision avoidance interface for safe piloting of unmanned vehicles using a mobile device. (2012) authored by Mary L. Cummings. Mary L. Cummings and Kristopher M. Thornburg: Paying Attention to the Man behind the Curtain. (2011) authored by Mary L. Cummings. Mary L. Cummings et al.: Defining the Tradespace for Passively Defending Against Rogue Drones. (2021) authored by Mary L. Cummings. Mary L. Cummings: The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations. (2004) authored by Mary L. Cummings. Mary L. Cummings and Paul J. Mitchell: Predicting Controller Capacity in Supervisory Control of Multiple UAVs. (2008) authored by Mary L. Cummings. Luca F. Bertuccelli and Mary L. Cummings: Operator Choice Modeling for Collaborative UAV Visual Search Tasks. (2012) authored by Mary L. Cummings. Birsen Donmez et al.: Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control. (2010) authored by Mary L. Cummings. Yves Boussemart et al.: Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings. (2011) authored by Mary L. Cummings. Mary L. Cummings: Rethinking the Maturity of Artificial Intelligence in Safety-Critical Settings. (2021) authored by Mary L. Cummings. Mary L. Cummings and Alexander J. Stimpson: Identifying Critical Contextual Design Cues Through a Machine Learning Approach. (2019) authored by Mary L. Cummings. Mahmoud Elfar et al.: Platform for security-aware design of human-on-the-loop cyber-physical systems. (2017) authored by Mary L. Cummings. Jacob W. Crandall et al.: Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. (2011) authored by Mary L. Cummings. Jacob W. Crandall and Mary L. Cummings: Identifying Predictive Metrics for Supervisory Control of Multiple Robots. (2007) authored by Mary L. Cummings. Missy L. Cummings: The double-edged sword of secrecy in military weapon development. (2003) authored by Mary L. Cummings. Mary L. Cummings: Creating moral buffers in weapon control interface design. (2004) authored by Mary L. Cummings. Missy L. Cummings: Conducting online course dialogue on the ethics of weapons design. (2006) authored by Mary L. Cummings. Mary L. Cummings: Lethal Autonomous Weapons: Meaningful Human Control or Meaningful Human Certification? [Opinion]. (2019) authored by Mary L. Cummings. Mary L. Cummings et al.: The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control. (2012) authored by Mary L. Cummings. Mary L. Cummings and Stephanie A. Guerlain: Developing Operator Capacity Estimates for Supervisory Control of Autonomous Vehicles. (2007) authored by Mary L. Cummings. Mary L. Cummings et al.: Effects of Single Versus Multiple Warnings on Driver Performance. (2007) authored by Mary L. Cummings. Birsen Donmez et al.: Auditory Decision Aiding in Supervisory Control of Multiple Unmanned Aerial Vehicles. (2009) authored by Mary L. Cummings. Mary L. Cummings and Songpo Li: Subjectivity in the Creation of Machine Learning Models. (2021) authored by Mary L. Cummings. Alexander J. Stimpson and Mary L. Cummings: Assessing Intervention Timing in Computer-Based Education Using Machine Learning Algorithms. (2014) authored by Mary L. Cummings. Mary L. Cummings et al.: Task Versus Vehicle-Based Control Paradigms in Multiple Unmanned Vehicle Supervision by a Single Operator. (2014) authored by Mary L. Cummings. Fei Gao et al.: Modeling Teamwork in Supervisory Control of Multiple Robots. (2014) authored by Mary L. Cummings. Victoria Chibuogu Nneji et al.: Predicting Locomotive Crew Performance in Rail Operations with Human and Automation Assistance. (2019) authored by Mary L. Cummings. Jason M. Rathje et al.: Human-Automation Collaboration in Occluded Trajectory Smoothing. (2013) authored by Mary L. Cummings. Jason C. Ryan and Mary L. Cummings: A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations. (2016) authored by Mary L. Cummings. Haibei Zhu et al.: Operator Strategy Model Development in UAV Hacking Detection. (2019) authored by Mary L. Cummings. Andrew S. Clare et al.: Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm. (2012) authored by Mary L. Cummings. Jacob W. Crandall et al.: Predictive Model for Human-Unmanned Vehicle Systems. (2009) authored by Mary L. Cummings. Mary L. Cummings and Paul J. Mitchell: Automated Scheduling Decision Support for Supervisory Control of Multiple UAVs. (2006) authored by Mary L. Cummings. Jessica J. Márquez and Mary L. Cummings: Design and Evaluation of Path Planning Decision Support for Planetary Surface Exploration. (2008) authored by Mary L. Cummings. Jason C. Ryan and Mary L. Cummings: Effects of Safety Protocols on Unmanned Vehicle Ground Operations. (2015) authored by Mary L. Cummings. Mary Missy Cummings: Man versus Machine or Man + Machine? (2014) authored by Mary L. Cummings. Mary L. Cummings et al.: Operator Performance and Intelligent Aiding in Unmanned Aerial Vehicle Scheduling. (2007) authored by Mary L. Cummings. Wanyi Chen and Mary L. Cummings: Subjectivity in Unsupervised Machine Learning Model Selection. (2023) authored by Mary L. Cummings. David J. Pitman and Mary L. Cummings: Collaborative Exploration with a Micro Aerial Vehicle: A Novel Interaction Method for Controlling a MAV with a Hand-Held Device. (2012) authored by Mary L. Cummings. Mark Boyer et al.: Investigating Mental Workload Changes in a Long Duration Supervisory Control Task. (2015) authored by Mary L. Cummings. Mary L. Cummings et al.: Boredom and Distraction in Multiple Unmanned Vehicle Supervisory Control. (2013) authored by Mary L. Cummings. Mary L. Cummings and Amy S. Brzezinski: Global vs. local decision support for multiple independent UAV schedule management. (2010) authored by Mary L. Cummings. Mary L. Cummings et al.: Supporting intelligent and trustworthy maritime path planning decisions. (2010) authored by Mary L. Cummings. Mary L. Cummings et al.: Modeling operator self-assessment in human-autonomy teaming settings. (2022) authored by Mary L. Cummings. Mary L. Cummings et al.: Human-automated path planning optimization and decision support. (2012) authored by Mary L. Cummings. Yves Boussemart and Mary L. Cummings: Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models. (2011) authored by Mary L. Cummings{'author_wikipedia_text': 'Mary Louise \\\"Missy\\\" Cummings (born 1966) is an American academic who is a professor at Duke University and director of Duke\\\\'s Humans and Autonomy Laboratory. She was one of the United States Navy\\\\'s first female fighter pilots. In November 2021, Dr. Cummings joined the National Highway Traffic Safety Administration (NHTSA). She currently teaches at George Mason University.\\\\nCummings received her Bachelor of Science in mathematics from the United States Naval Academy in 1988, a Master of Science in space systems engineering from the Naval Postgraduate School in 1994, and a PhD in systems engineering from the University of Virginia in 2004. Her doctoral thesis was Designing Decision Support Systems for Revolutionary Command and Control Domains.\\\\nCummings spent eleven years (1988–1999) as a naval officer and military pilot, earning the rank of lieutenant, and was one of the United States Navy\\\\'s first female fighter pilots, flying an F/A-18 Hornet. She became a fighter pilot shortly after the Combat Exclusion Policy was repealed in 1993, and her book Hornet\\\\'s Nest recounts her experience with discrimination and hostility as one of the first women in the fighter pilot community. Her first call sign was Medusa and her second was Shrew.\\\\nFor her last tour in the Navy, Cummings was an NROTC instructor at Pennsylvania State University. After the Navy, she became an assistant professor at Virginia Tech in the school\\\\'s Engineering Fundamentals Division. After obtaining her PhD at the University of Virginia, she achieved the rank of associate professor of aeronautics and astronautics at the Massachusetts Institute of Technology. She became a full professor at Duke University in 2016. Cummings served on the Board of Directors for the automotive technology company Veoneer, Inc. from 2018 to 2021. She resigned and sold all of her shares in October 2021 prior to starting at the NHTSA.\\\\nAs of 2021[update], Cummings is the director of George Mason University\\\\'s Autonomy and Robotics Center and a professor at the university. She is an affiliate professor with the University of Washington’s Aeronautics and Astronautics Department and an American Institute of Aeronautics and Astronautics Fellow.\\\\nIn October 2021, the NHTSA named Cummings as a new senior advisor for safety at the NHTSA on a \\\"temporary assignment\\\" through the Intergovernmental Personnel Act. Her appointment to the NHTSA was met with criticism from Tesla\\\\'s CEO Elon Musk and personal harassment and death threats from Tesla advocates in response to her previous statements critical of Tesla. U.S. Secretary of Transportation Pete Buttigieg defended Cummings\\\\' appointment, and the NHTSA said that it was \\\"look[ing] forward to leveraging her experience and leadership in safety and autonomous technologies.\\\" National Transportation Safety Board chair Jennifer Homendy surmised the Tesla advocates\\\\' responses to be a \\\"calculated attempt to distract from the real safety issues\\\". In January 2022, Cummings was required by NHTSA to recuse herself from any matters related to Tesla.\\\\nCummings later parted ways with NHTSA and joined George Mason University as a professor and director of Mason\\\\'s Autonomy and Robotics Center.\\\\nCummings\\\\'s research interests include human supervisory control, artificial intelligence, human-autonomous system collaboration and human-robot interaction, human-systems engineering, and the socio-ethical impact of technology. Cummings has written on the brittleness of machine learning and future applications for drones. In addition, she has spoken critically of the safety of Tesla\\\\'s Full Self-Driving Capability surrounding its reliance on computer vision.'}\",\n \"verbalizer_on_all_triples\": \"Mary L. Cummings has written paper amount in year 2012: 21.\\nMary L. Cummings has a written paper amount of 7 in 2013.\\nMary L. Cummings wrote 11 papers in 2014.\\nMary L. Cummings wrote 9 papers in 2015.\\nMary L. Cummings wrote 10 papers in 2016.\\nMary L. Cummings wrote 10 papers in 2017.\\nMary L. Cummings has a written paper amount of 8 in year 2018.\\nMary L. Cummings has a written paper amount of 13 in year 2019.\\nMary L. Cummings has a written paper amount of 7 in year 2020.\\nMary L. Cummings wrote paper amount in year2021: 7\\nMary L. Cummings wrote 5 papers in 2022.\\nMary L. Cummings wrote paper amount in year2023: 4\\nMary L. Cummings has a 2YrMeanCitedness of 0.64285713434219360352.\\nMary L. Cummings is affiliated with MIT, Cambridge, USA and Duke Robotics, Humans & Autonomy Lab, Durham, NC, USA.\\nMary Louise Cummings, Mary L. Missy Cummings, M. Cummings, Mary L. Cummings, M. L. Cummings are alternative names for Mary Louise Cummings.\\n\\\"Jacob W. Crandall and Mary L. Cummings: Identifying Predictive Metrics for Supervisory Control of Multiple Robots. (2007), Birsen Donmez et al.: Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control. (2012), Birsen Donmez et al.: Auditory Decision Aiding in Supervisory Control of Multiple Unmanned Aerial Vehicles. (2006), Andrew S. Clare et al.: Influenc\\nMary L. Cummings cited by count is 2746.\\nMary L. Cummings has an h-index of 27.\\nMary L. Cummings has 72 i10Index.\\nMary L. Cummings is the creator and the author of Mary L. Cummings.\\nMary L. Cummings is linked to \\\"http://www.wikidata.org/entity/Q87383377, http://web.mit.edu/aeroastro/labs/halab/people.shtml, http://www.ctie.monash.edu.au/hargrave/cummings.html, https://en.wikipedia.org/wiki/Missy_Cummings, http://www.wikidata.org/entity/Q\\nMary L. Cummings is a member of George Mason University.\\nMary L. Cummings was modified 2023-10-18.\\nMary L. Cummings is the name of Mary L. Cummings.\\nMary L. Cummings has orcidId https://orcid.org/0000-0003-2557-6930.\\nMary L. Cummings is affiliated with Duke Robotics, Humans & Autonomy Lab, Durham, NC, USA.\\nMary L. Cummings has 221 works.{'author_wikipedia_text': 'Mary Louise \\\"Missy\\\" Cummings (born 1966) is an American academic who is a professor at Duke University and director of Duke\\\\'s Humans and Autonomy Laboratory. She was one of the United States Navy\\\\'s first female fighter pilots. In November 2021, Dr. Cummings joined the National Highway Traffic Safety Administration (NHTSA). She currently teaches at George Mason University.\\\\nCummings received her Bachelor of Science in mathematics from the United States Naval Academy in 1988, a Master of Science in space systems engineering from the Naval Postgraduate School in 1994, and a PhD in systems engineering from the University of Virginia in 2004. Her doctoral thesis was Designing Decision Support Systems for Revolutionary Command and Control Domains.\\\\nCummings spent eleven years (1988–1999) as a naval officer and military pilot, earning the rank of lieutenant, and was one of the United States Navy\\\\'s first female fighter pilots, flying an F/A-18 Hornet. She became a fighter pilot shortly after the Combat Exclusion Policy was repealed in 1993, and her book Hornet\\\\'s Nest recounts her experience with discrimination and hostility as one of the first women in the fighter pilot community. Her first call sign was Medusa and her second was Shrew.\\\\nFor her last tour in the Navy, Cummings was an NROTC instructor at Pennsylvania State University. After the Navy, she became an assistant professor at Virginia Tech in the school\\\\'s Engineering Fundamentals Division. After obtaining her PhD at the University of Virginia, she achieved the rank of associate professor of aeronautics and astronautics at the Massachusetts Institute of Technology. She became a full professor at Duke University in 2016. Cummings served on the Board of Directors for the automotive technology company Veoneer, Inc. from 2018 to 2021. She resigned and sold all of her shares in October 2021 prior to starting at the NHTSA.\\\\nAs of 2021[update], Cummings is the director of George Mason University\\\\'s Autonomy and Robotics Center and a professor at the university. She is an affiliate professor with the University of Washington’s Aeronautics and Astronautics Department and an American Institute of Aeronautics and Astronautics Fellow.\\\\nIn October 2021, the NHTSA named Cummings as a new senior advisor for safety at the NHTSA on a \\\"temporary assignment\\\" through the Intergovernmental Personnel Act. Her appointment to the NHTSA was met with criticism from Tesla\\\\'s CEO Elon Musk and personal harassment and death threats from Tesla advocates in response to her previous statements critical of Tesla. U.S. Secretary of Transportation Pete Buttigieg defended Cummings\\\\' appointment, and the NHTSA said that it was \\\"look[ing] forward to leveraging her experience and leadership in safety and autonomous technologies.\\\" National Transportation Safety Board chair Jennifer Homendy surmised the Tesla advocates\\\\' responses to be a \\\"calculated attempt to distract from the real safety issues\\\". In January 2022, Cummings was required by NHTSA to recuse herself from any matters related to Tesla.\\\\nCummings later parted ways with NHTSA and joined George Mason University as a professor and director of Mason\\\\'s Autonomy and Robotics Center.\\\\nCummings\\\\'s research interests include human supervisory control, artificial intelligence, human-autonomous system collaboration and human-robot interaction, human-systems engineering, and the socio-ethical impact of technology. Cummings has written on the brittleness of machine learning and future applications for drones. In addition, she has spoken critically of the safety of Tesla\\\\'s Full Self-Driving Capability surrounding its reliance on computer vision.'}\",\n \"verbalizer_plus_evidence_matching\": \"Mary L. Cummings and Amy S. Brzezinski: Global vs. local decision support for multiple independent UAV schedule management. (2010), Mary L. Cummings: The double-edged sword of secrecy in military weapon development. (2003), Mary L. Cummings: Lethal Autonomous Weapons: Meaningful Human Control or Meaningful Human Certification? [Opinion]. (2019), Jason C. Ryan and Mary L. Cummings: A Systems Analysis of the Introduction of Unmanned Air Her doctoral thesis was Designing Decision Support Systems for Revolutionary Command and Control Domains. \\\" National Transportation Safety Board chair Jennifer Homendy surmised the Tesla advocates\\\\' responses to be a \\\"calculated attempt to distract from the real safety issues\\\". She became a fighter pilot shortly after the Combat Exclusion Policy was repealed in 1993, and her book Hornet\\\\'s Nest recounts her experience with discrimination and hostility as one of the first women in the fighter pilot community. \\\\nCummings\\\\'s research interests include human supervisory control, artificial intelligence, human-autonomous system collaboration and human-robot interaction, human-systems engineering, and the socio-ethical impact of technology. \\\\nCummings later parted ways with NHTSA and joined George Mason University as a professor and director of Mason\\\\'s Autonomy and Robotics Center. Secretary of Transportation Pete Buttigieg defended Cummings\\\\' appointment, and the NHTSA said that it was \\\"look[ing] forward to leveraging her experience and leadership in safety and autonomous technologies\"\n}"}}},{"rowIdx":95,"cells":{"id":{"kind":"string","value":"12b3c27c-75de-4988-bf4c-143ac5818164"},"triples_number":{"kind":"number","value":236,"string":"236"},"question":{"kind":"string","value":"What is the average two years citedness of the writer of the papers related to distortion measures for image artifacts?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"1.9777777194976806641\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"University of Melbourne, School of Computing and Information Systems, Australia\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"S. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"S.A. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika A. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rabindra Lamsal et al.: MegaGeoCOV Extended. (2023)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sarah M. Erfani et al.: R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. (2015)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thaneswaran Velauthapillai et al.: Global Detection of Flooding-Based DDoS Attacks Using a Cooperative Overlay Network. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ayodele Oluyomi et al.: An Agent Design Pattern Classification Scheme: Capturing the Notions of Agency in Agent Design Patterns. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Client Profiling for QoS-Based Web Service Recommendation. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chenfeng Vincent Zhou et al.: Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. (2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Elankovan Sundararajan et al.: Algorithmic-Parameter Optimization of a Parallelized Split-Step Fourier Transform Using a Modified BSP Cost Model. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shan Suthaharan et al.: Sensor data boundary estimation for anomaly detection in wireless sensor networks. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chao Huang et al.: Directions for Peer-to-Peer based mobile pervasive augmented reality gaming. (2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Imran Rao et al.: Impacts of Asynchrony on Epidemic-Style Aggregation Protocols. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Masud Moshtaghi et al.: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. (2011)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Udesh Gunarathna et al.: e-SMARTS: a system to simulate intelligent traffic management solutions (demo paper). (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Udesh Gunarathna et al.: Dynamic graph combinatorial optimization with multi-attention deep reinforcement learning. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eman Bin Khunayn et al.: Exploiting Data Dependency to Mitigate Stragglers in Distributed Spatial Simulation. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lakmal Muthugama et al.: Platooning Graph for Safer Traffic Management. (2020)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lakmal Muthugama et al.: Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Personalized Itinerary Recommendation with Queuing Time Awareness. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lipo Chan et al.: A Tool to Support Perspective Based Approach to Software Code Inspection. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kevin Chan et al.: Agent-Oriented Software Analysis. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pei Pei Kuan et al.: Improving Goal and Role Oriented Analysis for Agent Based Systems. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ayodele Oluyomi et al.: Design of Agent-Oriented Pattern Templates. (2006)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Automatic Measurement of a QoS Metric for Web Service Recommendation. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Web Service Recommendation Based on Client-Side Performance Estimation. (2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Craig Burton et al.: A Distributed Network Architecture for Robust Internet Voting Systems. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Jirat Pasuksmit et al.: Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? (2021)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika Karunasekera et al.: A Decentralized Dynamic Sensor Activation Protocol for Chemical Sensor Networks. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"K. S. Vijayalayan et al.: Fast Channel Establishment for IEEE 802.16 Wireless Mesh Networks. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amila Silva et al.: Embedding Partial Propagation Network for Fake News Early Detection. (2020)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amila Silva et al.: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. (2020)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yasmeen M. George et al.: Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Aaron Harwood et al.: Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sachini Jayasekara et al.: Communication Model for Parallel Iterative Stream Processing. (2018)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika Karunasekera et al.: Topic-specific post identification in microblog streams. (2014)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Spatial-based topic modelling using wikidata knowledge base. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pasan Karunaratne et al.: Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sarah M. Erfani et al.: Privacy-preserving data aggregation in Participatory Sensing Networks. (2013)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sutharshan Rajasegarar et al.: High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. (2014)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mohammed Jubaer Arif et al.: GeoWeight: internet host geolocation based on a probability model for latency measurements. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amila Silva et al.: Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika A. Karunasekera and Nick G. Kingsbury: Distortion measure for blocking artifacts in images based on human visual sensitivity. (1993)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Geotagging tweets to landmarks using convolutional neural networks with text and posting time. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zahra Ghafoori et al.: Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Udesh Gunarathna et al.: Real-Time Lane Configuration with Coordinated Reinforcement Learning. (2020)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: RAPID: Real-time Analytics Platform for Interactive Data Mining. (2018)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for image artifacts based on human visual sensitivity. (1994)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sameendra Samarawickrama et al.: Search Result Personalization in Twitter Using Neural Word Embeddings. 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(2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Imran Rao et al.: A gossip-based asynchronous aggregation protocol for P2P systems. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Saeed Shahbazi et al.: An analytical model for performance evaluation in sparse mobile ad hoc networks. (2009)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Elaheh Momeni et al.: Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. (2018)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Towards Next Generation Touring: Personalized Group Tours. 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Shanika Karunasekera primary affiliation University of Melbourne, School of Computing and Information Systems, Australia. Shanika Karunasekera link http://findanexpert.unimelb.edu.au/display/person18115. Shanika Karunasekera link https://scholar.google.com/citations?user=WG0tRVcAAAAJ. Shanika Karunasekera link https://en.wikipedia.org/wiki/Shanika_Karunasekera. Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023) authored by Shanika Karunasekera. Rabindra Lamsal et al.: MegaGeoCOV Extended. (2023) authored by Shanika Karunasekera. Sarah M. Erfani et al.: R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. (2015) authored by Shanika Karunasekera. Thaneswaran Velauthapillai et al.: Global Detection of Flooding-Based DDoS Attacks Using a Cooperative Overlay Network. (2010) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: An Agent Design Pattern Classification Scheme: Capturing the Notions of Agency in Agent Design Patterns. (2004) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Client Profiling for QoS-Based Web Service Recommendation. (2005) authored by Shanika Karunasekera. Hairuo Xie et al.: A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. (2017) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. (2007) authored by Shanika Karunasekera. Elankovan Sundararajan et al.: Algorithmic-Parameter Optimization of a Parallelized Split-Step Fourier Transform Using a Modified BSP Cost Model. (2004) authored by Shanika Karunasekera. Shan Suthaharan et al.: Sensor data boundary estimation for anomaly detection in wireless sensor networks. (2010) authored by Shanika Karunasekera. Chao Huang et al.: Directions for Peer-to-Peer based mobile pervasive augmented reality gaming. (2007) authored by Shanika Karunasekera. Imran Rao et al.: Impacts of Asynchrony on Epidemic-Style Aggregation Protocols. (2010) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. (2011) authored by Shanika Karunasekera. Udesh Gunarathna et al.: e-SMARTS: a system to simulate intelligent traffic management solutions (demo paper). (2022) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Dynamic graph combinatorial optimization with multi-attention deep reinforcement learning. (2022) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Exploiting Data Dependency to Mitigate Stragglers in Distributed Spatial Simulation. (2017) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Platooning Graph for Safer Traffic Management. (2020) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management. (2022) authored by Shanika Karunasekera. Hairuo Xie et al.: A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). (2022) authored by Shanika Karunasekera. Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019) authored by Shanika Karunasekera. Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized Itinerary Recommendation with Queuing Time Awareness. (2017) authored by Shanika Karunasekera. Lipo Chan et al.: A Tool to Support Perspective Based Approach to Software Code Inspection. (2005) authored by Shanika Karunasekera. Kevin Chan et al.: Agent-Oriented Software Analysis. (2004) authored by Shanika Karunasekera. Pei Pei Kuan et al.: Improving Goal and Role Oriented Analysis for Agent Based Systems. (2005) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Design of Agent-Oriented Pattern Templates. (2006) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Automatic Measurement of a QoS Metric for Web Service Recommendation. (2005) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Web Service Recommendation Based on Client-Side Performance Estimation. (2007) authored by Shanika Karunasekera. Craig Burton et al.: A Distributed Network Architecture for Robust Internet Voting Systems. (2005) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? (2021) authored by Shanika Karunasekera. Shanika Karunasekera et al.: A Decentralized Dynamic Sensor Activation Protocol for Chemical Sensor Networks. (2010) authored by Shanika Karunasekera. K. S. Vijayalayan et al.: Fast Channel Establishment for IEEE 802.16 Wireless Mesh Networks. (2010) authored by Shanika Karunasekera. Amila Silva et al.: Embedding Partial Propagation Network for Fake News Early Detection. (2020) authored by Shanika Karunasekera. Amila Silva et al.: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. (2020) authored by Shanika Karunasekera. Yasmeen M. George et al.: Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. (2019) authored by Shanika Karunasekera. Aaron Harwood et al.: Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. (2019) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Communication Model for Parallel Iterative Stream Processing. (2018) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017) authored by Shanika Karunasekera. Shanika Karunasekera et al.: Topic-specific post identification in microblog streams. (2014) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Spatial-based topic modelling using wikidata knowledge base. (2017) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. (2017) authored by Shanika Karunasekera. Sarah M. Erfani et al.: Privacy-preserving data aggregation in Participatory Sensing Networks. (2013) authored by Shanika Karunasekera. Sutharshan Rajasegarar et al.: High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. (2014) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: GeoWeight: internet host geolocation based on a probability model for latency measurements. (2010) authored by Shanika Karunasekera. Amila Silva et al.: Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. (2022) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: Distortion measure for blocking artifacts in images based on human visual sensitivity. (1993) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Geotagging tweets to landmarks using convolutional neural networks with text and posting time. (2019) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. (2019) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-Time Lane Configuration with Coordinated Reinforcement Learning. (2020) authored by Shanika Karunasekera. Kwan Hui Lim et al.: RAPID: Real-time Analytics Platform for Interactive Data Mining. (2018) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for image artifacts based on human visual sensitivity. (1994) authored by Shanika Karunasekera. Sameendra Samarawickrama et al.: Search Result Personalization in Twitter Using Neural Word Embeddings. (2017) authored by Shanika Karunasekera. Yi Han et al.: Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. (2019) authored by Shanika Karunasekera. Kwan Hui Lim et al.: ClusTop: A clustering-based topic modelling algorithm for twitter using word networks. (2017) authored by Shanika Karunasekera. Amila Silva et al.: USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. (2019) authored by Shanika Karunasekera. Ehsan Abedin et al.: Credible vs Fake: A Literature Review on Differentiating Online Reviews based on Credibility. (2020) authored by Shanika Karunasekera. Irum Bukhari et al.: Handling Churn in Similarity Based Clustering Overlays Using Weighted Benefit. (2017) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Reliable Agile Iterative Planning via Predicting Documentation Changes of Work Items. (2022) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: SOVoIP: middleware for universal VoIP connectivity. (2007) authored by Shanika Karunasekera. Lipo Chan et al.: CAESAR: middleware for complex service-oriented peer-to-peer applications. (2007) authored by Shanika Karunasekera. Imran Rao et al.: A gossip-based asynchronous aggregation protocol for P2P systems. (2010) authored by Shanika Karunasekera. Saeed Shahbazi et al.: An analytical model for performance evaluation in sparse mobile ad hoc networks. (2009) authored by Shanika Karunasekera. Elaheh Momeni et al.: Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. (2018) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Towards Next Generation Touring: Personalized Group Tours. (2016) authored by Shanika Karunasekera. Gayashan Amarasinghe et al.: A Data Stream Processing Optimisation Framework for Edge Computing Applications. (2018) authored by Shanika Karunasekera. Yi Han et al.: Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. (2020) authored by Shanika Karunasekera. Sarah M. Erfani et al.: Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. (2014) authored by Shanika Karunasekera. Kushani Perera et al.: Feature Selection for Multiclass Binary Data. (2018) authored by Shanika Karunasekera. Kushani Perera et al.: Group Based Unsupervised Feature Selection. (2020) authored by Shanika Karunasekera. Lipo Chan and Shanika Karunasekera: Designing Configurable Publish-Subscribe Scheme for Decentralised Overlay Networks. (2007) authored by Shanika Karunasekera. Saeed Shahbazi et al.: On Placement of Passive Stationary Relay Points in Delay Tolerant Networking. (2011) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Improved Template for Agent Pattern Description. (2005) authored by Shanika Karunasekera. Sameendra Samarawickrama et al.: Finding High-Level Topics and Tweet Labeling Using Topic Models. (2015) authored by Shanika Karunasekera. Saeed Shahbazi et al.: Achieving Ubiquitous Network Connectivity Using an RFID Tag-Based Routing Protocol. (2008) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A Multi-stage Hierarchical Window Model with Application to Real-Time Graph Analysis. (2017) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Straggler Mitigation for Distributed Behavioral Simulation. (2017) authored by Shanika Karunasekera. Timothy Baldwin et al.: A Support Platform for Event Detection using Social Intelligence. (2012) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: A multi-level caching architecture for stateful stream computation. (2022) authored by Shanika Karunasekera. K. S. Vijayalayan et al.: An Energy Efficient Distributed Scheduling Scheme for Wireless Mesh Networks. (2013) authored by Shanika Karunasekera. Zainab R. Zaidi et al.: Demystifying the COVID-19 vaccine discourse on Twitter. (2022) authored by Shanika Karunasekera. Yi Han et al.: Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. (2020) authored by Shanika Karunasekera. Anupama Mampage et al.: A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications. (2023) authored by Shanika Karunasekera. Ehsan Abedin et al.: What Makes a Review Credible? Heuristic and Systematic Factors for the Credibility of Online Reviews. (2019) authored by Shanika Karunasekera. Ehsan Abedin et al.: Are Online Consumer Reviews Credible? A Predictive Model based on Deep Learning. (2022) authored by Shanika Karunasekera. Amila Silva et al.: Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. (2021) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. (2016) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. (2015) authored by Shanika Karunasekera. Ehsan Abedin et al.: Towards a Credibility Analysis Model for Online Reviews. (2019) authored by Shanika Karunasekera. Amila Silva et al.: OMBA: User-Guided Product Representations for Online Market Basket Analysis. (2020) authored by Shanika Karunasekera. Kwan Hui Lim et al.: PersTour: A Personalized Tour Recommendation and Planning System. (2016) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. (2008) authored by Shanika Karunasekera. Sameera Kannangara et al.: Introducing Diversion Graph for Real-Time Spatial Data Analysis with Location Based Social Networks. (2021) authored by Shanika Karunasekera. Xunyun Liu et al.: E-Storm: Replication-Based State Management in Distributed Stream Processing Systems. (2017) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Location-based social networking for obtaining personalised driving advice. (2015) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Using a Traffic Simulator for Navigation Service. (2017) authored by Shanika Karunasekera. Morteza Mousavi Barroudi et al.: Map-based spatio-temporal interpolation in vehicle trajectory data using routing web-services. (2012) authored by Shanika Karunasekera. Sameera Kannangara et al.: Stepping stone graph for public movement analysis. (2018) authored by Shanika Karunasekera. Sameera Kannangara et al.: Tracking Group Movement in Location Based Social Networks. (2020) authored by Shanika Karunasekera. Hairuo Xie et al.: Studying transportation problems with the SMARTS simulator (demo paper). (2018) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-Time Intelligent Autonomous Intersection Management Using Reinforcement Learning. (2022) authored by Shanika Karunasekera. Fred Morstatter et al.: From Alt-Right to Alt-Rechts: Twitter Analysis of the 2017 German Federal Election. (2018) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Enhancing the Scalability and Performance of Iterative Graph Algorithms on Apache Storm. (2018) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. (2015) authored by Shanika Karunasekera. Shanika Karunasekera and Kunal Bedse: Preparing Software Engineering Graduates for an Industry Career. (2007) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Effective Traffic Forecasting with Multi-Resolution Learning. (2021) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments. (2022) authored by Shanika Karunasekera. Anupama Mampage et al.: Deadline-aware Dynamic Resource Management in Serverless Computing Environments. (2021) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Unsupervised Parameter Estimation for One-Class Support Vector Machines. (2016) authored by Shanika Karunasekera. Kushani Perera et al.: A Framework for Feature Selection to Exploit Feature Group Structures. (2020) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: Cost-efficient dynamic scheduling of big data applications in apache spark on cloud. (2020) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for blocking artifacts in images based on human visual sensitivity. (1995) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Streaming analysis in wireless sensor networks. (2014) authored by Shanika Karunasekera. Gayashan Amarasinghe et al.: ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments. (2020) authored by Shanika Karunasekera. Anupama Mampage et al.: Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments. (2023) authored by Shanika Karunasekera. Zahra Ghafoori et al.: LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. (2020) authored by Shanika Karunasekera. Hairuo Xie et al.: Generating traffic data for any city using SMARTS simulator. (2019) authored by Shanika Karunasekera. Masud Moshtaghi et al.: An efficient hyperellipsoidal clustering algorithm for resource-constrained environments. (2011) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems. (2019) authored by Shanika Karunasekera. Anupama Mampage et al.: A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions. (2021) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: Internet Host Geolocation Using Maximum Likelihood Estimation Technique. (2010) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark. (2017) authored by Shanika Karunasekera. Shanika Karunasekera et al.: A Distributed eResearch Tool for Evaluating Source Backtracking Algorithms. (2010) authored by Shanika Karunasekera. Rajiv Ranjan et al.: Decentralised Resource Discovery Service for Large Scale Federated Grids. (2007) authored by Shanika Karunasekera. I. F. Bukhari et al.: Optimum Benefit Protocol: A fast converging, bandwidth-efficient decentralized similarity overlay. (2017) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems. (2019) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning. (2022) authored by Shanika Karunasekera. Amila Silva et al.: Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals. (2023) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Intelligent Autonomous Intersection Management. (2022) authored by Shanika Karunasekera. Amila Silva et al.: OMBA: User-Guided Product Representations for Online Market Basket Analysis. (2020) authored by Shanika Karunasekera. Yang Liao et al.: Mining Micro-blogs: Opportunities and Challenges. (2012) authored by Shanika Karunasekera. Yi Han et al.: Continual Learning for Fake News Detection from Social Media. (2021) authored by Shanika Karunasekera. Masud Moshtaghi et al.: An adaptive elliptical anomaly detection model for wireless sensor networks. (2014) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments. (2022) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-time Road Network Optimization with Coordinated Reinforcement Learning. (2023) authored by Shanika Karunasekera. Kotagiri Ramamohanarao et al.: SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. (2017) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Description templates for agent-oriented patterns. (2008) authored by Shanika Karunasekera. Anupama Mampage et al.: A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions. (2022) authored by Shanika Karunasekera. Kanthaiah Sivapragasam Vijayalayan et al.: Distributed scheduling schemes for wireless mesh networks: A survey. (2013) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Tour recommendation and trip planning using location-based social media: a survey. (2019) authored by Shanika Karunasekera. Amila Silva et al.: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. (2020) authored by Shanika Karunasekera. Yi Han et al.: Knowledge Enhanced Multi-modal Fake News Detection. (2021) authored by Shanika Karunasekera. Pasan Karunaratne et al.: PSF+ - Fast and improved electricity consumption prediction in campus environments. (2017) authored by Shanika Karunasekera. Amila Silva et al.: Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. (2021) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Optimizing checkpoint-based fault-tolerance in distributed stream processing systems: Theory to practice. (2022) authored by Shanika Karunasekera. Yasmeen M. George et al.: Real-time spatio-temporal event detection on geotagged social media. (2021) authored by Shanika Karunasekera. Wenchuan Mu et al.: A clustering-based topic model using word networks and word embeddings. (2022) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Evolving Fuzzy Rules for Anomaly Detection in Data Streams. (2015) authored by Shanika Karunasekera. Imran Rao et al.: On Problem for Aggregate Node Selection for Unstructured Overlay Networks. (2010) authored by Shanika Karunasekera. Morteza Mousavi Barroudi et al.: Feature selection for user motion pattern recognition in mobile networks. (2012) authored by Shanika Karunasekera. Imran Rao et al.: Gossip-based asynchronous and robust aggregation protocol - A pessimistic approach. (2011) authored by Shanika Karunasekera. Imran Rao et al.: Adaptive Expression Based Routing Protocol for P2P Systems. (2007) authored by Shanika Karunasekera. Lipo Chan and Shanika Karunasekera: Systematic Development of Quality Aware Decentralised Service-Oriented Systems. (2007) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Follow The Best: Crowdsourced Automated Travel Advice. (2017) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Real-time road safety optimization through network-level data management. (2023) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Collaborative Detection of Fast Flux Phishing Domains. (2009) authored by Shanika Karunasekera. Sutharshan Rajasegarar et al.: High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. (2014) authored by Shanika Karunasekera. Sarah M. Erfani et al.: High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. (2016) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: A comprehensive view of agent-oriented patterns. (2007) authored by Shanika Karunasekera. Yi Han et al.: Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. (2020) authored by Shanika Karunasekera. Saeed Shahbazi et al.: Improving performance in delay/disruption tolerant networks through passive relay points. (2012) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A utilization model for optimization of checkpoint intervals in distributed stream processing systems. (2020) authored by Shanika Karunasekera. Ehsan Abedin et al.: Exploring the Moderating Role of Readers' Perspective in Evaluations of Online Consumer Reviews. (2021) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: A survey of coordinated attacks and collaborative intrusion detection. (2010) authored by Shanika Karunasekera. Edward Curry et al.: Middleware 2007 Works in Progress. (2007) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Story points changes in agile iterative development. (2022) authored by Shanika Karunasekera. Anthony Y. Lui et al.: The Enhanced Service Manager: A service management system for next-generation networks. (2000) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Decentralized multi-dimensional alert correlation for collaborative intrusion detection. (2009) authored by Shanika Karunasekera. Rabindra Lamsal et al.: A Twitter narrative of the COVID-19 pandemic in Australia. (2023) authored by Shanika Karunasekera. Fengze Sun et al.: Urban Region Representation Learning with Attentive Fusion. (2023) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. (2018) authored by Shanika Karunasekera. Sameera Kannangara et al.: Stepping Stone Graph: A Graph for Finding Movement Corridors using Sparse Trajectories. (2019) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Dynamic Straggler Mitigation for Large-Scale Spatial Simulations. (2023) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data. (2017) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection. (2018) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Distributed stream clustering using micro-clusters on Apache Storm. (2017) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. (2018) authored by Shanika Karunasekera. Shanika Karunasekera et al.: Mining Influentials and their Bot Activities on Twitter Campaigns. (2020) authored by Shanika Karunasekera. Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023) authored by Shanika Karunasekera. Rabindra Lamsal et al.: CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts. (2023) authored by Shanika Karunasekera. Yasmeen M. George et al.: Real-time Spatio-temporal Event Detection on Geotagged Social Media. (2021) authored by Shanika Karunasekera. Zainab R. Zaidi et al.: To be a pro-vax or not, the COVID-19 vaccine conundrum on Twitter. (2023) authored by Shanika Karunasekera. Amila Silva et al.: Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. (2021) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories. (2019) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? (2021) authored by Shanika Karunasekera. Amila Silva et al.: USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. (2019) authored by Shanika Karunasekera. Yi Han et al.: Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. (2019) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data. (2016) authored by Shanika Karunasekera{'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne. Dr. Karunasekera completed her Ph.D. in Electrical Engineering from the University of Cambridge, UK in 1995. Earlier she completed her B.Sc. in Electronics and Telecommunication Engineering at the University of Moratuwa, Sri Lanka.\\\\nDr. Karunasekera was born in Sri Lanka.'}\",\n \"verbalizer_on_all_triples\": \"Shanika Karunasekera has a written paper amount of 7 in year 2012.\\nShanika Karunasekera has a written paper amount of 4 in 2013.\\nShanika Karunasekera wrote 10 papers in 2014.\\nShanika Karunasekera wrote 10 papers in 2015.\\nShanika Karunasekera wrote 10 papers in 2016.\\nShanika Karunasekera has written paper amount in year 2017: 22.\\nShanika Karunasekera wrote 11 papers in 2018.\\nShanika Karunasekera has a written paper amount of 18 in year 2019.\\nShanika Karunasekera has a written paper amount of 24 in year 2020.\\nShanika Karunasekera has written paper amount in year2021: 21.\\nShanika Karunasekera has a written paper amount of 17 in year 2022.\\nShanika Karunasekera has written paper amount in year2023: 11.\\nShanika Karunasekera has a 2YrMeanCitedness of 1.9777777194976806641.\\nShanika Karunasekera is affiliated with the University of Melbourne, School of Computing and Information Systems, Australia.\\nShanika A. Karunasekera and S.A. Karunasekera are alternative names for Shanika Karunasekera.\\n\\\"Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017), Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008), Anupama Mampage et al.: Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments. (2023), Abdullah AlDwyish \\nShanika Karunasekera is cited by count of 3222.\\nShanika Karunasekera has a h-index of 24.\\nShanika Karunasekera has an i10Index of 63.\\nShanika Karunasekera is the creator and the author.\\nShanika Karunasekera is linked to https://scholar.google.com/citations?user=WG0tRVcAAAAJ, https://en.wikipedia.org/wiki/Shanika_Karunasekera, http://www.wikidata.org/entity/Q80745584, Q7488645 and find anexpert.unimelb.edu.au/display/person18115.\\nShanika Karunasekera is a member of the University of Melbourne.\\nShanika Karunasekera was modified on 2023-10-18.\\nShanika Karunasekera is also known as Shanika Karunasekera.\\nShanika Karunasekera has orcidId https://orcid.org/0000-0001-7080-5064.\\nShanika Karunasekera is affiliated with the University of Melbourne, School of Computing and Information Systems, Australia.\\nShanika Karunasekera is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=55925860100&partnerID=MN8TOARS.\\nShanika Karunasekera has 231 works.{'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne. Dr. Karunasekera completed her Ph.D. in Electrical Engineering from the University of Cambridge, UK in 1995. Earlier she completed her B.Sc. in Electronics and Telecommunication Engineering at the University of Moratuwa, Sri Lanka.\\\\nDr. Karunasekera was born in Sri Lanka.'}\",\n \"verbalizer_plus_evidence_matching\": \"Shanika Karunasekera has a written paper amount of 7 in year 2012.\\nShanika Karunasekera has a written paper amount of 4 in 2013.\\nShanika Karunasekera wrote 10 papers in 2014.\\nShanika Karunasekera wrote 10 papers in 2015.\\nShanika Karunasekera wrote 10 papers in 2016.\\nShanika Karunasekera has written paper amount in year 2017: 22.\\nShanika Karunasekera wrote 11 papers in 2018.\\nShanika Karunasekera has a written paper amount of 18 in year 2019.\\nShanika Karunasekera has a written paper amount of 17 in year 2022.\\nShanika Karunasekera has written paper amount in year2023: 11.\\nShanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for image artifacts based on human visual sensitivity. (1994) was authored by Shanika A. Karunasekera and Nick G. Kingsbury.\\nShanika Karunasekera is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=55925860100&partnerID=MN8TOARS. in Electrical Engineering from the University of Cambridge, UK in 1995. {'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne\"\n}"}}},{"rowIdx":96,"cells":{"id":{"kind":"string","value":"1792e7c9-e3fe-45a9-9ae1-d3b1dd238c80"},"triples_number":{"kind":"number","value":544,"string":"544"},"question":{"kind":"string","value":"The researcher with a co-author from Duke University and creator of 'Efficient approaches for escaping higher order saddle points in non-convex optimization' paper, hIndex, is?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"12\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"30\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"45\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"45\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"87\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"87\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"72\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"72\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"49\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"49\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"1.3106060028076171875\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"University of California Irvine, Center for Pervasive Communications and Computing\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"California Institute of Technology, Pasadena, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"NVIDIA, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Anima Anandkumar\"\n },\n {\n \"object\": \"A. 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(2016) authored by Anima Anandkumar. Animashree Anandkumar and Rong Ge: Efficient approaches for escaping higher order saddle points in non-convex optimization. (2016) authored by Anima Anandkumar. Jeremy Bernstein et al.: SIGNSGD: Compressed Optimisation for Non-Convex Problems. (2018) authored by Anima Anandkumar. Jeremy Bernstein et al.: signSGD: compressed optimisation for non-convex problems. (2018) authored by Anima Anandkumar. Florian Schäfer and Anima Anandkumar: Competitive Gradient Descent. (2019) authored by Anima Anandkumar. Florian Schäfer and Anima Anandkumar: Competitive Gradient Descent. (2019) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control. (2022) authored by Anima Anandkumar. Jeffrey Ma et al.: Polymatrix Competitive Gradient Descent. (2021) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling Achieves $\\\\tilde{O}(\\\\sqrt{T})$ Regret in Linear Quadratic Control. (2022) authored by Anima Anandkumar. Sahin Lale et al.: Regret Minimization in Partially Observable Linear Quadratic Control. (2020) authored by Anima Anandkumar. Sahin Lale et al.: Stochastic Linear Bandits with Hidden Low Rank Structure. (2019) authored by Anima Anandkumar. Sahin Lale et al.: Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. (2021) authored by Anima Anandkumar. Sahin Lale et al.: Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. (2020) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling for Partially Observable Linear-Quadratic Control. (2023) authored by Anima Anandkumar. Praneeth Netrapalli et al.: Non-convex Robust PCA. (2014) authored by Anima Anandkumar. Praneeth Netrapalli et al.: Non-convex Robust PCA. (2014) authored by Anima Anandkumar. Taylor L. Patti et al.: Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints. (2023) authored by Anima Anandkumar. Sahin Lale et al.: Explore More and Improve Regret in Linear Quadratic Regulators. (2020) authored by Anima Anandkumar. Yashwanth Kumar Nakka et al.: Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. (2020) authored by Anima Anandkumar. Yashwanth Kumar Nakka et al.: Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. (2021) authored by Anima Anandkumar. Zhouhao Yang et al.: Distributionally Robust Policy Gradient for Offline Contextual Bandits. (2023) authored by Anima Anandkumar. Jiawei Zhao et al.: InRank: Incremental Low-Rank Learning. (2023) authored by Anima Anandkumar. Manish Prajapat et al.: Competitive Policy Optimization. (2020) authored by Anima Anandkumar. Anima Anandkumar: Neural Operators for Solving PDEs and Inverse Design. (2023) authored by Anima Anandkumar. Manish Prajapat et al.: Competitive policy optimization. (2021) authored by Anima Anandkumar. Anqi Liu et al.: Robust Regression for Safe Exploration in Control. (2020) authored by Anima Anandkumar. Jing Yu et al.: Robust Reinforcement Learning: A Constrained Game-theoretic Approach. (2021) authored by Anima Anandkumar. Anqi Liu et al.: Robust Regression for Safe Exploration in Control. (2019) authored by Anima Anandkumar. Florian Schäfer et al.: Implicit competitive regularization in GANs. (2020) authored by Anima Anandkumar. Florian Schäfer et al.: Implicit competitive regularization in GANs. (2019) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Trust Region Policy Optimization of POMDPs. (2018) authored by Anima Anandkumar. Miguel Liu-Schiaffini et al.: Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces. (2023) authored by Anima Anandkumar. Yining Wang and Anima Anandkumar: Online and Differentially-Private Tensor Decomposition. (2016) authored by Anima Anandkumar. Hanie Sedghi and Anima Anandkumar: Provable Methods for Training Neural Networks with Sparse Connectivity. (2015) authored by Anima Anandkumar. Tianyuan Jin et al.: Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (2022) authored by Anima Anandkumar. Tianyuan Jin et al.: Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (2022) authored by Anima Anandkumar. Yining Wang and Animashree Anandkumar: Online and Differentially-Private Tensor Decomposition. (2016) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust rate-maximization game under bounded channel uncertainty. (2010) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust Rate Maximization Game Under Bounded Channel Uncertainty. (2011) authored by Anima Anandkumar. Le Song et al.: Nonparametric Estimation of Multi-View Latent Variable Models. (2013) authored by Anima Anandkumar. Zongyi Li et al.: Geometry-Informed Neural Operator for Large-Scale 3D PDEs. (2023) authored by Anima Anandkumar. Zongyi Li et al.: Geometry-Informed Neural Operator for Large-Scale 3D PDEs. (2023) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust Rate-Maximization Game Under Bounded Channel Uncertainty (2010) authored by Anima Anandkumar. Le Song et al.: Nonparametric Estimation of Multi-View Latent Variable Models. (2014) authored by Anima Anandkumar. Sahin Lale et al.: Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. (2020) authored by Anima Anandkumar. Sahin Lale et al.: Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. (2020) authored by Anima Anandkumar. Anima Anandkumar et al.: Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. (2016) authored by Anima Anandkumar. Pan Xu et al.: Langevin Monte Carlo for Contextual Bandits. (2022) authored by Anima Anandkumar. Pan Xu et al.: Langevin Monte Carlo for Contextual Bandits. (2022) authored by Anima Anandkumar. Kevin Huang et al.: CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. (2021) authored by Anima Anandkumar Her research considers tensor-algebraic methods, deep learning and non-convex problems. \\\\nAnandkumar joined the Machine Learning Conference Board of Advisors in 2018. Her thesis considered Scalable Algorithms for Distributed Statistical Inference. Here she started working on tensor decompositions of latent variable models. {'author_wikipedia_text': 'Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. She was one of several campaigners to rename the Conference on Neural Information Processing Systems \\\\'NIPS\\\\' as NeurIPS. \\\\nIn 2010, Anandkumar joined University of California, Irvine, as an assistant professor. In 2018, Anandkumar joined NVIDIA as Director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. Her first project looked at distributed statistical estimation. She was a postdoctoral scholar at Massachusetts Institute of Technology until 2010, where she worked in the Stochastic Systems Group with Alan Willsky\",\n \"plain\": \"Anima Anandkumar is Author. Anima Anandkumar modified 2023-10-18. Anima Anandkumar citedByCount 2712. Anima Anandkumar written paper amount in year2012: 4. Anima Anandkumar written paper amount in year2012: 4. Anima Anandkumar written paper amount in year2013: 5. Anima Anandkumar written paper amount in year2013: 5. Anima Anandkumar written paper amount in year2014: 17. Anima Anandkumar written paper amount in year2014: 17. Anima Anandkumar written paper amount in year2015: 10. Anima Anandkumar written paper amount in year2015: 10. Anima Anandkumar written paper amount in year2016: 10. Anima Anandkumar written paper amount in year2016: 10. Anima Anandkumar written paper amount in year2017: 12. Anima Anandkumar written paper amount in year2017: 12. Anima Anandkumar written paper amount in year2018: 22. Anima Anandkumar written paper amount in year2018: 22. Anima Anandkumar written paper amount in year2019: 30. Anima Anandkumar written paper amount in year2019: 30. Anima Anandkumar written paper amount in year2020: 45. Anima Anandkumar written paper amount in year2020: 45. Anima Anandkumar written paper amount in year2021: 87. Anima Anandkumar written paper amount in year2021: 87. Anima Anandkumar written paper amount in year2022: 72. Anima Anandkumar written paper amount in year2022: 72. Anima Anandkumar written paper amount in year2023: 49. Anima Anandkumar written paper amount in year2023: 49. Anima Anandkumar worksCount 367. Anima Anandkumar name Anima Anandkumar. Anima Anandkumar member of Nvidia (United States). Anima Anandkumar h-index 26. Anima Anandkumar 2YrMeanCitedness 1.3106060028076171875. Anima Anandkumar alternativeName A. Anandkumar. Anima Anandkumar alternativeName A.c Anandkumar. Anima Anandkumar alternativeName Anima Anandkumar. Anima Anandkumar alternativeName Animashree Anandkumar. Anima Anandkumar i10Index 67. Anima Anandkumar orcidId https://orcid.org/0000-0002-6974-6797. Anima Anandkumar is Creator. Anima Anandkumar is Person. Anima Anandkumar link http://www.wikidata.org/entity/Q29167831. Anima Anandkumar affiliation University of California Irvine, Center for Pervasive Communications and Computing. Anima Anandkumar affiliation California Institute of Technology, Pasadena, USA. Anima Anandkumar affiliation NVIDIA, USA. Anima Anandkumar link http://tensorlab.cms.caltech.edu/users/anima/. Anima Anandkumar link http://newport.eecs.uci.edu/anandkumar/. Anima Anandkumar primary affiliation California Institute of Technology, Pasadena, USA. Anima Anandkumar link http://tensorlab.cms.caltech.edu/users/anima/. Anima Anandkumar link https://twitter.com/animaanandkumar. Anima Anandkumar link https://mathgenealogy.org/id.php?id=248364. Anima Anandkumar link https://dl.acm.org/profile/81361599607. Anima Anandkumar link https://scholar.google.com/citations?user=bEcLezcAAAAJ. Anima Anandkumar link https://en.wikipedia.org/wiki/Anima_Anandkumar. Evrim Acar et al.: Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). (2016) authored by Anima Anandkumar. Zongyi Li et al.: Learning Dissipative Dynamics in Chaotic Systems (Datasets). (2022) authored by Anima Anandkumar. Yuanyuan Shi et al.: Machine Learning Accelerated PDE Backstepping Observers. (2022) authored by Anima Anandkumar. Wuyang Chen et al.: Automated Synthetic-to-Real Generalization. (2020) authored by Anima Anandkumar. Guan-Horng Liu et al.: I2SB: Image-to-Image Schrödinger Bridge. (2023) authored by Anima Anandkumar. Anuj Mahajan et al.: Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. (2021) authored by Anima Anandkumar. Weili Nie et al.: Diffusion Models for Adversarial Purification. (2022) authored by Anima Anandkumar. Le Song et al.: Nonparametric Estimation of Multi-View Latent Variable Models. (2014) authored by Anima Anandkumar. Yang Shi et al.: Question Type Guided Attention in Visual Question Answering. (2018) authored by Anima Anandkumar. Animashree Anandkumar et al.: Detection error exponent for spatially dependent samples in random networks. (2009) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: A large-deviation analysis for the maximum likelihood learning of tree structures. (2009) authored by Anima Anandkumar. Yulong Cao et al.: Robust Trajectory Prediction against Adversarial Attacks. (2022) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty. (2013) authored by Anima Anandkumar. Animashree Anandkumar et al.: Opportunistic Spectrum Access with Multiple Users: Learning under Competition. (2010) authored by Anima Anandkumar. Furong Huang and Anima Anandkumar: FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations. (2013) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Scaling laws for learning high-dimensional Markov forest distributions. (2010) authored by Anima Anandkumar. Shobhit Jain et al.: Multi Sense Embeddings from Topic Models. (2019) authored by Anima Anandkumar. Zahra Ghodsi et al.: Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. (2021) authored by Anima Anandkumar. Huaizu Jiang et al.: Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. (2022) authored by Anima Anandkumar. Shiyi Lan et al.: Vision Transformers are Good Mask Auto-Labelers. (2023) authored by Anima Anandkumar. Sahin Lale et al.: KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. (2023) authored by Anima Anandkumar. Jeremy Bernstein et al.: SIGNSGD: Compressed Optimisation for Non-Convex Problems. (2018) authored by Anima Anandkumar. Beidi Chen et al.: Angular Visual Hardness. (2020) authored by Anima Anandkumar. Linxi Fan et al.: SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. (2021) authored by Anima Anandkumar. Tommaso Furlanello et al.: Born-Again Neural Networks. (2018) authored by Anima Anandkumar. Yunfan Jiang et al.: VIMA: Robot Manipulation with Multimodal Prompts. (2023) authored by Anima Anandkumar. Bo Liu et al.: Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. (2021) authored by Anima Anandkumar. Michael Tschannen et al.: StrassenNets: Deep Learning with a Multiplication Budget. (2018) authored by Anima Anandkumar. Hongkai Zheng et al.: Fast Sampling of Diffusion Models via Operator Learning. (2023) authored by Anima Anandkumar. Josiah Wong et al.: OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. (2022) authored by Anima Anandkumar. Sahin Lale et al.: Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. (2021) authored by Anima Anandkumar. Sahin Lale et al.: Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. (2021) authored by Anima Anandkumar. Anqi Liu et al.: Robust Regression for Safe Exploration in Control. (2020) authored by Anima Anandkumar. Guannan Qu et al.: Stable Online Control of Linear Time-Varying Systems. (2021) authored by Anima Anandkumar. Jing Yu et al.: Robust Reinforcement Learning: A Constrained Game-theoretic Approach. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Tracking in a spaghetti bowl: monitoring transactions using footprints. (2008) authored by Anima Anandkumar. Animashree Anandkumar et al.: Topology discovery of sparse random graphs with few participants. (2011) authored by Anima Anandkumar. Furong Huang et al.: Guaranteed Scalable Learning of Latent Tree Models. (2019) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust rate-maximization game under bounded channel uncertainty. (2010) authored by Anima Anandkumar. Ting He et al.: Index-based sampling policies for tracking dynamic networks under sampling constraints. (2011) authored by Anima Anandkumar. Yanyao Shen et al.: Deep Active Learning for Named Entity Recognition. (2017) authored by Anima Anandkumar. Ben Athiwaratkun et al.: Probabilistic FastText for Multi-Sense Word Embeddings. (2018) authored by Anima Anandkumar. Francesca Baldini et al.: Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data. (2020) authored by Anima Anandkumar. Anima Anandkumar et al.: Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. (2016) authored by Anima Anandkumar. Forough Arabshahi and Anima Anandkumar: Spectral Methods for Correlated Topic Models. (2017) authored by Anima Anandkumar. Sahin Lale et al.: Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. (2022) authored by Anima Anandkumar. Hanie Sedghi et al.: Provable Tensor Methods for Learning Mixtures of Generalized Linear Models. (2016) authored by Anima Anandkumar. Zhouhao Yang et al.: Distributionally Robust Policy Gradient for Offline Contextual Bandits. (2023) authored by Anima Anandkumar. Eric Zhao et al.: Active Learning under Label Shift. (2021) authored by Anima Anandkumar. Grigorios G. Chrysos et al.: Unsupervised Controllable Generation with Self-Training. (2021) authored by Anima Anandkumar. Pan Xu et al.: Langevin Monte Carlo for Contextual Bandits. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Learning Linear Bayesian Networks with Latent Variables. (2013) authored by Anima Anandkumar. Boris Bonev et al.: Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. (2023) authored by Anima Anandkumar. Majid Janzamin and Animashree Anandkumar: High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains. (2012) authored by Anima Anandkumar. Weili Nie et al.: Semi-Supervised StyleGAN for Disentanglement Learning. (2020) authored by Anima Anandkumar. Florian Schäfer et al.: Implicit competitive regularization in GANs. (2020) authored by Anima Anandkumar. Xinlei Pan et al.: Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. (2021) authored by Anima Anandkumar. Guanya Shi et al.: Fast Uncertainty Quantification for Deep Object Pose Estimation. (2021) authored by Anima Anandkumar. Yulong Cao et al.: AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. (2022) authored by Anima Anandkumar. M. Amin Khajehnejad et al.: Summary based structures with improved sublinear recovery for compressed sensing. (2011) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Error exponents for composite hypothesis testing of Markov forest distributions. (2010) authored by Anima Anandkumar. Rafal Kocielnik et al.: Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. (2022) authored by Anima Anandkumar. Xingye Da et al.: Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. (2020) authored by Anima Anandkumar. Youngwoon Lee et al.: Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. (2021) authored by Anima Anandkumar. Chen Wang et al.: MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. (2023) authored by Anima Anandkumar. Animashree Anandkumar: Role of HPC in next-generation AI. (2020) authored by Anima Anandkumar. Yang Shi et al.: Tensor Contractions with Extended BLAS Kernels on CPU and GPU. (2016) authored by Anima Anandkumar. Animashree Anandkumar et al.: Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph. (2007) authored by Anima Anandkumar. Animashree Anandkumar et al.: Minimum Cost Data Aggregation with Localized Processing for Statistical Inference. (2008) authored by Anima Anandkumar. Animashree Anandkumar et al.: Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference. (2009) authored by Anima Anandkumar. Forough Arabshahi et al.: Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]. (2015) authored by Anima Anandkumar. Chiyu Max Jiang et al.: MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. (2020) authored by Anima Anandkumar. Haoxuan Wang et al.: Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. (2023) authored by Anima Anandkumar. Yujia Huang et al.: Neural Networks with Recurrent Generative Feedback. (2020) authored by Anima Anandkumar. Tianyuan Jin et al.: Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (2022) authored by Anima Anandkumar. Weili Nie et al.: Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. (2020) authored by Anima Anandkumar. Manli Shu et al.: Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. (2022) authored by Anima Anandkumar. Haotao Wang et al.: AugMax: Adversarial Composition of Random Augmentations for Robust Training. (2021) authored by Anima Anandkumar. Chen Zhu et al.: Long-Short Transformer: Efficient Transformers for Language and Vision. (2021) authored by Anima Anandkumar. Nadine Chang et al.: Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. (2021) authored by Anima Anandkumar. Milan Cvitkovic et al.: Open Vocabulary Learning on Source Code with a Graph-Structured Cache. (2019) authored by Anima Anandkumar. Daquan Zhou et al.: Understanding The Robustness in Vision Transformers. (2022) authored by Anima Anandkumar. Grigorios G. Chrysos et al.: Augmenting Deep Classifiers with Polynomial Neural Networks. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Limit laws for random spatial graphical models. (2010) authored by Anima Anandkumar. Manish Prajapat et al.: Competitive policy optimization. (2021) authored by Anima Anandkumar. Hongyu Ren et al.: OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. (2020) authored by Anima Anandkumar. Animashree Anandkumar and Lang Tong: A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors. (2006) authored by Anima Anandkumar. Aishan Liu et al.: ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. (2021) authored by Anima Anandkumar. Jeremy Bernstein et al.: Learning compositional functions via multiplicative weight updates. (2020) authored by Anima Anandkumar. Linxi Fan et al.: MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. (2022) authored by Anima Anandkumar. Yoonwoo Jeong et al.: PeRFception: Perception using Radiance Fields. (2022) authored by Anima Anandkumar. Yining Wang and Anima Anandkumar: Online and Differentially-Private Tensor Decomposition. (2016) authored by Anima Anandkumar. Yining Wang et al.: Fast and Guaranteed Tensor Decomposition via Sketching. (2015) authored by Anima Anandkumar. Kaiyu Yang et al.: LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. (2023) authored by Anima Anandkumar. Zhiding Yu et al.: Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. (2021) authored by Anima Anandkumar. Ravi Tej Akella et al.: Deep Bayesian Quadrature Policy Optimization. (2021) authored by Anima Anandkumar. Dawn Song et al.: ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021 (2021) edited by Anima Anandkumar. Yuanyuan Shi et al.: Stability Constrained Reinforcement Learning for Real-Time Voltage Control. (2022) authored by Anima Anandkumar. Dan Su et al.: Context Generation Improves Open Domain Question Answering. (2023) authored by Anima Anandkumar. Rafal Kocielnik et al.: Deep Multimodal Fusion for Surgical Feedback Classification. (2023) authored by Anima Anandkumar. Animashree Anandkumar and Lang Tong: Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels. (2006) authored by Anima Anandkumar. Pegah Sattari et al.: Active learning of multiple source multiple destination topologies. (2013) authored by Anima Anandkumar. Alekh Agarwal et al.: A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries. (2017) authored by Anima Anandkumar. Animashree Anandkumar et al.: Distributed Estimation Via Random Access. (2008) authored by Anima Anandkumar. Tan M. Nguyen et al.: InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers. (2019) authored by Anima Anandkumar. Boxin Wang et al.: Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. (2022) authored by Anima Anandkumar. Pan Xu et al.: Langevin Monte Carlo for Contextual Bandits. (2022) authored by Anima Anandkumar. Tianyuan Jin et al.: Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (2022) authored by Anima Anandkumar. Milan Cvitkovic et al.: Open Vocabulary Learning on Source Code with a Graph-Structured Cache. (2018) authored by Anima Anandkumar. Hongkai Zheng et al.: Fast Sampling of Diffusion Models via Operator Learning. (2022) authored by Anima Anandkumar. Rafal Kocielnik et al.: AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. (2023) authored by Anima Anandkumar. Chiyu Max Jiang et al.: MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework. (2020) authored by Anima Anandkumar. Florian Schäfer et al.: Competitive Mirror Descent. (2020) authored by Anima Anandkumar. Hongyu Ren et al.: OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. (2020) authored by Anima Anandkumar. Md Ashiqur Rahman et al.: Generative Adversarial Neural Operators. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. (2015) authored by Anima Anandkumar. Josiah Wong et al.: OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Energy Scaling Laws for Distributed Inference in Random Networks (2008) authored by Anima Anandkumar. Xinlong Wang et al.: FreeSOLO: Learning to Segment Objects without Annotations. (2022) authored by Anima Anandkumar. Haoyu Yang et al.: Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. (2022) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Neural Operators for Accelerating Scientific Simulations and Design. (2023) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Reinforcement Learning of Contextual MDPs using Spectral Methods. (2016) authored by Anima Anandkumar. Peter I Renn et al.: Forecasting subcritical cylinder wakes with Fourier Neural Operators. (2023) authored by Anima Anandkumar. Weili Nie et al.: Semi-Supervised StyleGAN for Disentanglement Learning. (2020) authored by Anima Anandkumar. Majid Janzamin et al.: Spectral Learning on Matrices and Tensors. (2020) authored by Anima Anandkumar. Alekh Agarwal et al.: Exact Recovery of Sparsely Used Overcomplete Dictionaries. (2013) authored by Anima Anandkumar. Yanyao Shen et al.: Deep Active Learning for Named Entity Recognition. (2017) authored by Anima Anandkumar. Bo Liu et al.: Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. (2021) authored by Anima Anandkumar. Haoyu Yang et al.: Generic lithography modeling with dual-band optics-inspired neural networks. (2022) authored by Anima Anandkumar. Sahin Lale et al.: Model Learning Predictive Control in Nonlinear Dynamical Systems. (2021) authored by Anima Anandkumar. Guanya Shi et al.: Neural Lander: Stable Drone Landing Control Using Learned Dynamics. (2019) authored by Anima Anandkumar. Animashree Anandkumar et al.: Cost-performance tradeoff in multi-hop aggregation for statistical inference. (2008) authored by Anima Anandkumar. Ying Liu et al.: Feedback message passing for inference in gaussian graphical models. (2010) authored by Anima Anandkumar. Benyamin Allahgholizadeh Haghi et al.: EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. (2023) authored by Anima Anandkumar. Paul Balister et al.: Energy-latency tradeoff for in-network function computation in random networks. (2011) authored by Anima Anandkumar. Myung Jin Choi et al.: Consistent and efficient reconstruction of latent tree models. (2010) authored by Anima Anandkumar. G. Matthew Ezovski et al.: Min-min times in peer-to-peer file sharing networks. (2008) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: How do the structure and the parameters of Gaussian tree models affect structure learning? (2009) authored by Anima Anandkumar. Bikram Sengupta et al.: Non-intrusive transaction monitoring using system logs. (2008) authored by Anima Anandkumar. Anima Anandkumar et al.: Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT). (2015) authored by Anima Anandkumar. Jean Kossaifi et al.: Tensor Contraction Layers for Parsimonious Deep Nets. (2017) authored by Anima Anandkumar. Ismail Elezi et al.: Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. (2022) authored by Anima Anandkumar. Xinlong Wang et al.: FreeSOLO: Learning to Segment Objects without Annotations. (2022) authored by Anima Anandkumar. Yang Shi and Animashree Anandkumar: Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations. (2020) authored by Anima Anandkumar. Animashree Anandkumar and Ragupathyraj Valluvan: Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs. (2012) authored by Anima Anandkumar. Zongyi Li et al.: Learning Chaotic Dynamics in Dissipative Systems. (2022) authored by Anima Anandkumar. Shuang Li et al.: Pre-Trained Language Models for Interactive Decision-Making. (2022) authored by Anima Anandkumar. Weili Nie et al.: Controllable and Compositional Generation with Latent-Space Energy-Based Models. (2021) authored by Anima Anandkumar. Florian Schäfer and Anima Anandkumar: Competitive Gradient Descent. (2019) authored by Anima Anandkumar. Sungduk Yu et al.: ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. (2023) authored by Anima Anandkumar. Animashree Anandkumar et al.: Spectral Methods for Learning Multivariate Latent Tree Structure. (2011) authored by Anima Anandkumar. Anima Anandkumar et al.: A Spectral Algorithm for Latent Dirichlet Allocation. (2012) authored by Anima Anandkumar. De-An Huang et al.: MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. (2022) authored by Anima Anandkumar. Zongyi Li et al.: Multipole Graph Neural Operator for Parametric Partial Differential Equations. (2020) authored by Anima Anandkumar. Sahin Lale et al.: Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. (2021) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling for Partially Observable Linear-Quadratic Control. (2023) authored by Anima Anandkumar. Wei Dong et al.: Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. (2023) authored by Anima Anandkumar. Zhiqi Li et al.: Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. (2022) authored by Anima Anandkumar. Yiming Li et al.: VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. (2023) authored by Anima Anandkumar. Jeremy Bernstein et al.: signSGD with Majority Vote is Communication Efficient and Fault Tolerant. (2019) authored by Anima Anandkumar. Guneet S. Dhillon et al.: Stochastic Activation Pruning for Robust Adversarial Defense. (2018) authored by Anima Anandkumar. Ashish Khetan et al.: Learning From Noisy Singly-labeled Data. (2018) authored by Anima Anandkumar. Yanyao Shen et al.: Deep Active Learning for Named Entity Recognition. (2018) authored by Anima Anandkumar. Bokui Shen et al.: ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. (2022) authored by Anima Anandkumar. Zhuolin Yang et al.: Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. (2023) authored by Anima Anandkumar. Bingyin Zhao et al.: Fully Attentional Networks with Self-emerging Token Labeling. (2023) authored by Anima Anandkumar. Jiawei Zhao et al.: LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update. (2022) authored by Anima Anandkumar. Maya Srikanth et al.: Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Energy Efficient Routing for Statistical Inference of Markov Random Fields. (2007) authored by Anima Anandkumar. Evrim Acar et al.: Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). (2018) authored by Anima Anandkumar. Yashwanth Kumar Nakka et al.: Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. (2021) authored by Anima Anandkumar. Animashree Anandkumar and Lang Tong: Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels. (2007) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Learning Gaussian tree models: analysis of error exponents and extremal structures. (2010) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust Rate Maximization Game Under Bounded Channel Uncertainty. (2011) authored by Anima Anandkumar. Animashree Anandkumar et al.: Seeing through black boxes: Tracking transactions through queues under monitoring resource constraints. (2013) authored by Anima Anandkumar. Taylor L. Patti et al.: Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints. (2023) authored by Anima Anandkumar. Michael O'Connell et al.: Neural-Fly enables rapid learning for agile flight in strong winds. (2022) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures. (2011) authored by Anima Anandkumar. Shiyi Lan et al.: DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. (2021) authored by Anima Anandkumar. Haque Ishfaq et al.: Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. (2023) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Experimental results : Reinforcement Learning of POMDPs using Spectral Methods. (2017) authored by Anima Anandkumar. Shiyi Lan et al.: Vision Transformers Are Good Mask Auto-Labelers. (2023) authored by Anima Anandkumar. Thorsten Kurth et al.: FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. (2022) authored by Anima Anandkumar. Yannis Panagakis et al.: Tensor Methods in Computer Vision and Deep Learning. (2021) authored by Anima Anandkumar. Shengchao Liu et al.: Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. (2023) authored by Anima Anandkumar. Le Song et al.: Nonparametric Estimation of Multi-View Latent Variable Models. (2013) authored by Anima Anandkumar. Zongyi Li et al.: Multipole Graph Neural Operator for Parametric Partial Differential Equations. (2020) authored by Anima Anandkumar. Wuyang Chen et al.: Contrastive Syn-to-Real Generalization. (2021) authored by Anima Anandkumar. Alexander Lavin et al.: Simulation Intelligence: Towards a New Generation of Scientific Methods. (2021) authored by Anima Anandkumar. Haoxuan Wang et al.: Distributionally Robust Learning for Unsupervised Domain Adaptation. (2020) authored by Anima Anandkumar. Jiahao Su et al.: Convolutional Tensor-Train LSTM for Spatio-temporal Learning. (2020) authored by Anima Anandkumar. Animashree Anandkumar et al.: Spectral Methods for Learning Multivariate Latent Tree Structure (2011) authored by Anima Anandkumar. Animashree Anandkumar et al.: High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families (2011) authored by Anima Anandkumar. Wei Dong et al.: Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. (2023) authored by Anima Anandkumar. Jean Kossaifi et al.: Tensor Regression Networks. (2017) authored by Anima Anandkumar. Praneeth Netrapalli et al.: Non-convex Robust PCA. (2014) authored by Anima Anandkumar. Youngwoon Lee et al.: Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. (2021) authored by Anima Anandkumar. Florian Schäfer and Anima Anandkumar: Competitive Gradient Descent. (2019) authored by Anima Anandkumar. Jiawei Zhao et al.: ZerO Initialization: Initializing Residual Networks with only Zeros and Ones. (2021) authored by Anima Anandkumar. Minkai Xu et al.: Equivariant Graph Neural Operator for Modeling 3D Dynamics. (2024) authored by Anima Anandkumar. Paul N. Balister et al.: Energy-Latency Tradeoff for In-Network Function Computation in Random Networks (2011) authored by Anima Anandkumar. Zachary E. Ross et al.: Directivity Modes of Earthquake Populations with Unsupervised Learning. (2019) authored by Anima Anandkumar. Guanya Shi et al.: Fast Uncertainty Quantification for Deep Object Pose Estimation. (2020) authored by Anima Anandkumar. Jaideep Pathak et al.: FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. (2022) authored by Anima Anandkumar. Yang Shi and Animashree Anandkumar: Multi-dimensional Tensor Sketch. (2019) authored by Anima Anandkumar. Nadine Chang et al.: Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. (2021) authored by Anima Anandkumar. Haotao Wang et al.: AugMax: Adversarial Composition of Random Augmentations for Robust Training. (2021) authored by Anima Anandkumar. Boris Bonev et al.: Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. (2023) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures (2009) authored by Anima Anandkumar. Zongyi Li et al.: Markov Neural Operators for Learning Chaotic Systems. (2021) authored by Anima Anandkumar. Yulong Cao et al.: AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. (2022) authored by Anima Anandkumar. Zhuoran Qiao et al.: Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models. (2022) authored by Anima Anandkumar. Pengrui Han et al.: ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs. (2024) authored by Anima Anandkumar. Anima Anandkumar et al.: Homotopy Method for Tensor Principal Component Analysis. (2016) authored by Anima Anandkumar. Forough Arabshahi et al.: Combining Symbolic and Function Evaluation Expressions In Neural Programs. (2018) authored by Anima Anandkumar. Jeremy Bernstein et al.: Learning compositional functions via multiplicative weight updates. (2020) authored by Anima Anandkumar. Furong Huang and Animashree Anandkumar: Convolutional Dictionary Learning through Tensor Factorization. (2015) authored by Anima Anandkumar. Animashree Anandkumar et al.: Learning Mixtures of Tree Graphical Models. (2012) authored by Anima Anandkumar. Majid Janzamin et al.: FEAST at Play: Feature ExtrAction using Score function Tensors. (2015) authored by Anima Anandkumar. Sahin Lale et al.: Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. (2020) authored by Anima Anandkumar. Zongyi Li et al.: Geometry-Informed Neural Operator for Large-Scale 3D PDEs. (2023) authored by Anima Anandkumar. Praneeth Netrapalli et al.: Non-convex Robust PCA. (2014) authored by Anima Anandkumar. Hanie Sedghi et al.: Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition. (2014) authored by Anima Anandkumar. Jiahao Su et al.: Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. (2020) authored by Anima Anandkumar. Jiachen Sun et al.: Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions. (2021) authored by Anima Anandkumar. Enze Xie et al.: SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. (2021) authored by Anima Anandkumar. Thorsten Kurth et al.: FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. (2023) authored by Anima Anandkumar. Alekh Agarwal et al.: Learning Sparsely Used Overcomplete Dictionaries. (2014) authored by Anima Anandkumar. Anima Anandkumar et al.: Homotopy Analysis for Tensor PCA. (2017) authored by Anima Anandkumar. Animashree Anandkumar and Rong Ge: Efficient approaches for escaping higher order saddle points in non-convex optimization. (2016) authored by Anima Anandkumar. Animashree Anandkumar et al.: A Tensor Spectral Approach to Learning Mixed Membership Community Models. (2013) authored by Anima Anandkumar. Animashree Anandkumar et al.: Learning Overcomplete Latent Variable Models through Tensor Methods. (2015) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Reinforcement Learning of POMDPs using Spectral Methods. (2016) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. (2016) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling Achieves $\\\\tilde{O}(\\\\sqrt{T})$ Regret in Linear Quadratic Control. (2022) authored by Anima Anandkumar. Anima Anandkumar: ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC. (2022) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Efficient Exploration Through Bayesian Deep Q-Networks. (2018) authored by Anima Anandkumar. Peng Xu et al.: MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. (2020) authored by Anima Anandkumar. Yoonwoo Jeong et al.: Self-Calibrating Neural Radiance Fields. (2021) authored by Anima Anandkumar. Yanwei Li et al.: End-to-end 3D Tracking with Decoupled Queries. (2023) authored by Anima Anandkumar. Anima Anandkumar et al.: A Spectral Algorithm for Latent Dirichlet Allocation. (2015) authored by Anima Anandkumar. Andrew J. Hung et al.: Capturing fine-grained details for video-based automation of suturing skills assessment. (2023) authored by Anima Anandkumar. Hanchen Wang et al.: Scientific discovery in the age of artificial intelligence. (2023) authored by Anima Anandkumar. Animashree Anandkumar et al.: A tensor approach to learning mixed membership community models. (2014) authored by Anima Anandkumar. Animashree Anandkumar et al.: Tensor decompositions for learning latent variable models. (2014) authored by Anima Anandkumar. Animashree Anandkumar et al.: Analyzing Tensor Power Method Dynamics in Overcomplete Regime. (2017) authored by Anima Anandkumar. Animashree Anandkumar et al.: When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity. (2015) authored by Anima Anandkumar. Animashree Anandkumar et al.: A Method of Moments for Mixture Models and Hidden Markov Models. (2012) authored by Anima Anandkumar. Animashree Anandkumar et al.: High-dimensional Gaussian graphical model selection: walk summability and local separation criterion. (2012) authored by Anima Anandkumar. Myung Jin Choi et al.: Learning Latent Tree Graphical Models. (2011) authored by Anima Anandkumar. Furong Huang et al.: Online tensor methods for learning latent variable models. (2015) authored by Anima Anandkumar. Majid Janzamin and Animashree Anandkumar: High-dimensional covariance decomposition into sparse Markov and independence models. (2014) authored by Anima Anandkumar. Jean Kossaifi et al.: Tensor Regression Networks. (2020) authored by Anima Anandkumar. Jean Kossaifi et al.: TensorLy: Tensor Learning in Python. (2019) authored by Anima Anandkumar. Nikola B. Kovachki et al.: Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs. (2023) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. (2011) authored by Anima Anandkumar. Zhuoran Qiao et al.: Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces. (2020) authored by Anima Anandkumar. Chulin Xie et al.: PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. (2023) authored by Anima Anandkumar. Xuan Zhang et al.: Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. (2023) authored by Anima Anandkumar. Enze Xie et al.: SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. (2021) authored by Anima Anandkumar. Amod J. G. Anandkumar et al.: Robust Rate-Maximization Game Under Bounded Channel Uncertainty (2010) authored by Anima Anandkumar. Francesca Baldini et al.: Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data. (2019) authored by Anima Anandkumar. De-An Huang et al.: MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. (2022) authored by Anima Anandkumar. Junfei Xiao et al.: 1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track. (2022) authored by Anima Anandkumar. Nhat Ho et al.: Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning. (2018) authored by Anima Anandkumar. Sungduk Yu et al.: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. (2023) authored by Anima Anandkumar. Maya Srikanth et al.: Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. (2021) authored by Anima Anandkumar. Yuanyuan Shi et al.: Machine Learning Accelerated PDE Backstepping Observers. (2022) authored by Anima Anandkumar. Anthony Gitter et al.: Unsupervised learning of transcriptional regulatory networks via latent tree graphical models. (2016) authored by Anima Anandkumar. Majid Janzamin et al.: Generalization Bounds for Neural Networks through Tensor Factorization. (2015) authored by Anima Anandkumar. Yunfan Jiang et al.: VIMA: General Robot Manipulation with Multimodal Prompts. (2022) authored by Anima Anandkumar. Or Sharir and Anima Anandkumar: Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs. (2023) authored by Anima Anandkumar. Beidi Chen et al.: Angular Visual Hardness. (2019) authored by Anima Anandkumar. Anima Anandkumar et al.: Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models. (2014) authored by Anima Anandkumar. Homanga Bharadhwaj et al.: Auditing AI models for Verified Deployment under Semantic Specifications. (2021) authored by Anima Anandkumar. Miguel Liu-Schiaffini et al.: Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces. (2023) authored by Anima Anandkumar. Chen Zhu et al.: Long-Short Transformer: Efficient Transformers for Language and Vision. (2021) authored by Anima Anandkumar. Jiawei Zhao et al.: InRank: Incremental Low-Rank Learning. (2023) authored by Anima Anandkumar. Yang Shi et al.: Question Type Guided Attention in Visual Question Answering. (2018) authored by Anima Anandkumar. Shengchao Liu et al.: A Text-guided Protein Design Framework. (2023) authored by Anima Anandkumar. Xinlei Pan et al.: Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. (2020) authored by Anima Anandkumar. Dan Su et al.: Context Generation Improves Open Domain Question Answering. (2022) authored by Anima Anandkumar. Jean Kossaifi et al.: Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs. (2023) authored by Anima Anandkumar. Abigail C. Dommer et al.: #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. (2023) authored by Anima Anandkumar. Anda Trifan et al.: Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. (2022) authored by Anima Anandkumar. Maxim Zvyagin et al.: GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. (2023) authored by Anima Anandkumar. Anima Anandkumar et al.: When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity. (2013) authored by Anima Anandkumar. Animashree Anandkumar et al.: High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions. (2011) authored by Anima Anandkumar. Yujia Huang et al.: Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. (2021) authored by Anima Anandkumar. Yunzhu Li et al.: Causal Discovery in Physical Systems from Videos. (2020) authored by Anima Anandkumar. Shengchao Liu et al.: Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. (2023) authored by Anima Anandkumar. Boxin Wang et al.: Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. (2022) authored by Anima Anandkumar. Zichao Wang et al.: Retrieval-based Controllable Molecule Generation. (2023) authored by Anima Anandkumar. Forough Arabshahi et al.: Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. (2018) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Regularized Learning for Domain Adaptation under Label Shifts. (2019) authored by Anima Anandkumar. Jeremy Bernstein et al.: Compression by the signs: distributed learning is a two-way street. (2018) authored by Anima Anandkumar. Wuyang Chen et al.: Contrastive Syn-to-Real Generalization. (2021) authored by Anima Anandkumar. John Guibas et al.: Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. (2022) authored by Anima Anandkumar. Peiyun Hu et al.: Active Learning with Partial Feedback. (2019) authored by Anima Anandkumar. Zongyi Li et al.: Fourier Neural Operator for Parametric Partial Differential Equations. (2021) authored by Anima Anandkumar. Xiaojian Ma et al.: RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. (2022) authored by Anima Anandkumar. Chaowei Xiao et al.: DensePure: Understanding Diffusion Models for Adversarial Robustness. (2023) authored by Anima Anandkumar. Boxin Wang et al.: Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. (2023) authored by Anima Anandkumar. Jaesung Choe et al.: Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction. (2023) authored by Anima Anandkumar. Shiyi Lan et al.: DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. (2021) authored by Anima Anandkumar. Zhiqi Li et al.: FB-BEV: BEV Representation from Forward-Backward View Transformations. (2023) authored by Anima Anandkumar. David Hoeller et al.: Neural Scene Representation for Locomotion on Structured Terrain. (2022) authored by Anima Anandkumar. Majid Janzamin et al.: Spectral Learning on Matrices and Tensors. (2019) authored by Anima Anandkumar. Arinbjörn Kolbeinsson et al.: Tensor Dropout for Robust Learning. (2021) authored by Anima Anandkumar. Yannis Panagakis et al.: Tensor Methods in Computer Vision and Deep Learning. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Detection of Gauss-Markov Random Fields With Nearest-Neighbor Dependency. (2009) authored by Anima Anandkumar. Majid Janzamin et al.: Score Function Features for Discriminative Learning: Matrix and Tensor Framework. (2014) authored by Anima Anandkumar. Guanzhi Wang et al.: Voyager: An Open-Ended Embodied Agent with Large Language Models. (2023) authored by Anima Anandkumar. Anima Anandkumar and Hanie Sedghi: Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods. (2015) authored by Anima Anandkumar. Shengchao Liu et al.: A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. (2024) authored by Anima Anandkumar. Yujia Huang et al.: Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. (2021) authored by Anima Anandkumar. Sahin Lale et al.: Stochastic Linear Bandits with Hidden Low Rank Structure. (2019) authored by Anima Anandkumar. John Guibas et al.: Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. (2021) authored by Anima Anandkumar. Yang Shi et al.: Tensor Contractions with Extended BLAS Kernels on CPU and GPU. (2016) authored by Anima Anandkumar. Yoonwoo Jeong et al.: PeRFception: Perception using Radiance Fields. (2022) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures (2009) authored by Anima Anandkumar. Ying Liu et al.: Feedback Message Passing for Inference in Gaussian Graphical Models (2011) authored by Anima Anandkumar. Nikola B. Kovachki et al.: Neural Operator: Learning Maps Between Function Spaces. (2021) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Trust Region Policy Optimization of POMDPs. (2018) authored by Anima Anandkumar. Weili Nie et al.: Diffusion Models for Adversarial Purification. (2022) authored by Anima Anandkumar. Guannan Qu et al.: Stable Online Control of Linear Time-Varying Systems. (2021) authored by Anima Anandkumar. Yilun Chen et al.: FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. (2023) authored by Anima Anandkumar. Rafal Kocielnik et al.: Deep Multimodal Fusion for Surgical Feedback Classification. (2023) authored by Anima Anandkumar. Furong Huang et al.: Integrated Structure and Parameters Learning in Latent Tree Graphical Models. (2014) authored by Anima Anandkumar. Anqi Liu et al.: Triply Robust Off-Policy Evaluation. (2019) authored by Anima Anandkumar. Kevin Huang et al.: CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. (2021) authored by Anima Anandkumar. Sahin Lale et al.: Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. (2021) authored by Anima Anandkumar. Forough Arabshahi et al.: Modeling Dynamic Social Interactions via Conditional Latent Tree Models. (2014) authored by Anima Anandkumar. Zongyi Li et al.: Neural Operator: Graph Kernel Network for Partial Differential Equations. (2020) authored by Anima Anandkumar. Sahin Lale et al.: Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. (2020) authored by Anima Anandkumar. Anima Anandkumar et al.: Tensor decompositions for learning latent variable models (2012) authored by Anima Anandkumar. Ben Athiwaratkun et al.: Probabilistic FastText for Multi-Sense Word Embeddings. (2018) authored by Anima Anandkumar. Anima Anandkumar and Rong Ge: Efficient approaches for escaping higher order saddle points in non-convex optimization. (2016) authored by Anima Anandkumar. Forough Arabshahi et al.: Memory Augmented Recursive Neural Networks. (2019) authored by Anima Anandkumar. Anuj Mahajan et al.: Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. (2021) authored by Anima Anandkumar. Daquan Zhou et al.: Understanding The Robustness in Vision Transformers. (2022) authored by Anima Anandkumar. Haydn Maust et al.: Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators. (2022) authored by Anima Anandkumar. Hanie Sedghi and Anima Anandkumar: Training Input-Output Recurrent Neural Networks through Spectral Methods. (2016) authored by Anima Anandkumar. Bokui Shen et al.: ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret (2010) authored by Anima Anandkumar. Anuj Mahajan et al.: Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity. (2013) authored by Anima Anandkumar. Anima Anandkumar: Neural Operators for Solving PDEs and Inverse Design. (2023) authored by Anima Anandkumar. Yilun Chen et al.: FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. (2023) authored by Anima Anandkumar. Pegah Sattari et al.: Active Learning of Multiple Source Multiple Destination Topologies. (2014) authored by Anima Anandkumar. Md Ashiqur Rahman et al.: Generative Adversarial Neural Operators. (2022) authored by Anima Anandkumar. Jiawei Zhao et al.: ZerO Initialization: Initializing Neural Networks with only Zeros and Ones. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Topology discovery of sparse random graphs with few participants. (2013) authored by Anima Anandkumar. Alekh Agarwal et al.: Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization. (2016) authored by Anima Anandkumar. Animashree Anandkumar et al.: Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints (2010) authored by Anima Anandkumar. Sahin Lale et al.: Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. (2020) authored by Anima Anandkumar. Shuang Li et al.: Pre-Trained Language Models for Interactive Decision-Making. (2022) authored by Anima Anandkumar. Zichao Wang et al.: Retrieval-based Controllable Molecule Generation. (2022) authored by Anima Anandkumar. Xingye Da et al.: Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. (2020) authored by Anima Anandkumar. Shikun Liu et al.: Prismer: A Vision-Language Model with An Ensemble of Experts. (2023) authored by Anima Anandkumar. Zahra Ghodsi et al.: Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency (2007) authored by Anima Anandkumar. Wuyang Chen et al.: Automated Synthetic-to-Real Generalization. (2020) authored by Anima Anandkumar. Linxi Fan et al.: SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. (2021) authored by Anima Anandkumar. Zelun Luo et al.: Differentially Private Video Activity Recognition. (2023) authored by Anima Anandkumar. Chaowei Xiao et al.: DensePure: Understanding Diffusion Models towards Adversarial Robustness. (2022) authored by Anima Anandkumar. Xiaojian Ma et al.: RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. (2022) authored by Anima Anandkumar. Furong Huang and Animashree Anandkumar: Convolutional Dictionary Learning through Tensor Factorization. (2015) authored by Anima Anandkumar. Zhiqi Li et al.: Panoptic SegFormer. (2021) authored by Anima Anandkumar. Shengchao Liu et al.: Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. (2022) authored by Anima Anandkumar. Alekh Agarwal et al.: Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization. (2013) authored by Anima Anandkumar. Rose Yu et al.: Long-term Forecasting using Tensor-Train RNNs. (2017) authored by Anima Anandkumar. Shobhit Jain et al.: Multi Sense Embeddings from Topic Models. (2019) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Reinforcement Learning of POMDP's using Spectral Methods. (2016) authored by Anima Anandkumar. Arinbjörn Kolbeinsson et al.: Stochastically Rank-Regularized Tensor Regression Networks. (2019) authored by Anima Anandkumar. Furong Huang et al.: Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs. (2013) authored by Anima Anandkumar. Michael Tschannen et al.: StrassenNets: Deep learning with a multiplication budget. (2017) authored by Anima Anandkumar. Anqi Liu et al.: Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. (2019) authored by Anima Anandkumar. Or Sharir et al.: Towards Neural Variational Monte Carlo That Scales Linearly with System Size. (2022) authored by Anima Anandkumar. Enze Xie et al.: M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. (2022) authored by Anima Anandkumar. Yining Wang et al.: Fast and Guaranteed Tensor Decomposition via Sketching. (2015) authored by Anima Anandkumar. Anima Anandkumar et al.: A Tensor Spectral Approach to Learning Mixed Membership Community Models (2013) authored by Anima Anandkumar. Taylan Kargin et al.: Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control. (2022) authored by Anima Anandkumar. Vignesh Gopakumar et al.: Plasma Surrogate Modelling using Fourier Neural Operators. (2023) authored by Anima Anandkumar. Ziqi Ma et al.: Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction. (2024) authored by Anima Anandkumar. Gege Wen et al.: U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. (2021) authored by Anima Anandkumar. Tommaso Furlanello et al.: Born Again Neural Networks. (2018) authored by Anima Anandkumar. Jiawei Zhao et al.: Incremental Fourier Neural Operator. (2022) authored by Anima Anandkumar. Dani Kiyasseh et al.: Quantification of Robotic Surgeries with Vision-Based Deep Learning. (2022) authored by Anima Anandkumar. Yecheng Jason Ma et al.: Eureka: Human-Level Reward Design via Coding Large Language Models. (2023) authored by Anima Anandkumar. Myung Jin Choi et al.: Learning Latent Tree Graphical Models (2010) authored by Anima Anandkumar. Animashree Anandkumar et al.: Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation (2012) authored by Anima Anandkumar. Zhuoran Qiao et al.: OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features. (2020) authored by Anima Anandkumar. Ashish Khetan et al.: Learning From Noisy Singly-labeled Data. (2017) authored by Anima Anandkumar. Guneet S. Dhillon et al.: Stochastic Activation Pruning for Robust Adversarial Defense. (2018) authored by Anima Anandkumar. Shengchao Liu et al.: Multi-modal molecule structure-text model for text-based retrieval and editing. (2023) authored by Anima Anandkumar. Dani Kiyasseh et al.: Human visual explanations mitigate bias in AI-based assessment of surgeon skills. (2023) authored by Anima Anandkumar. Runzhuo Ma et al.: Surgical gestures as a method to quantify surgical performance and predict patient outcomes. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: Optimal Node Density for Detection in Energy-Constrained Random Networks. (2008) authored by Anima Anandkumar. Ying Liu et al.: Feedback Message Passing for Inference in Gaussian Graphical Models. (2012) authored by Anima Anandkumar. Animashree Anandkumar et al.: Selectively retrofitting monitoring in distributed systems. (2009) authored by Anima Anandkumar. Animashree Anandkumar et al.: Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. (2011) authored by Anima Anandkumar. Animashree Anandkumar et al.: Energy Scaling Laws for Distributed Inference in Random Fusion Networks. (2009) authored by Anima Anandkumar. Gege Wen et al.: Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. (2022) authored by Anima Anandkumar. Anqi Liu et al.: Robust Regression for Safe Exploration in Control. (2019) authored by Anima Anandkumar. Yoonwoo Jeong et al.: Self-Calibrating Neural Radiance Fields. (2021) authored by Anima Anandkumar. Weili Nie et al.: Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. (2020) authored by Anima Anandkumar. Zhuolin Yang et al.: Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. (2023) authored by Anima Anandkumar. Colin White et al.: Speeding up Fourier Neural Operators via Mixed Precision. (2023) authored by Anima Anandkumar. Jean Kossaifi et al.: Tensor Contraction Layers for Parsimonious Deep Nets. (2017) authored by Anima Anandkumar. Micah Goldblum et al.: Perspectives on the State and Future of Deep Learning - 2023. (2023) authored by Anima Anandkumar. Sahin Lale et al.: Explore More and Improve Regret in Linear Quadratic Regulators. (2020) authored by Anima Anandkumar. Majid Janzamin et al.: Score Function Features for Discriminative Learning. (2015) authored by Anima Anandkumar. Jeremy Bernstein et al.: signSGD: compressed optimisation for non-convex problems. (2018) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Efficient Exploration through Bayesian Deep Q-Networks. (2018) authored by Anima Anandkumar. Zongyi Li et al.: Fourier Neural Operator for Parametric Partial Differential Equations. (2020) authored by Anima Anandkumar. Yuanyuan Shi et al.: Stability Constrained Reinforcement Learning for Real-Time Voltage Control. (2021) authored by Anima Anandkumar. Chen Wang et al.: MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. (2023) authored by Anima Anandkumar. Amy Zhang et al.: Learning Causal State Representations of Partially Observable Environments. (2019) authored by Anima Anandkumar. Jeremy Bernstein et al.: signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant. (2018) authored by Anima Anandkumar. Animashree Anandkumar et al.: Learning High-Dimensional Mixtures of Graphical Models (2012) authored by Anima Anandkumar. Kaiyu Yang et al.: LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. (2023) authored by Anima Anandkumar. Rafal Kocielnik et al.: Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. (2022) authored by Anima Anandkumar. Yujia Huang et al.: Out-of-Distribution Detection Using Neural Rendering Generative Models. (2019) authored by Anima Anandkumar. Animashree Anandkumar et al.: Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates. (2014) authored by Anima Anandkumar. Weili Nie et al.: Controllable and Compositional Generation with Latent-Space Energy-Based Models. (2021) authored by Anima Anandkumar. Animashree Anandkumar et al.: Topology Discovery of Sparse Random Graphs With Few Participants (2011) authored by Anima Anandkumar. Guanya Shi et al.: Neural Lander: Stable Drone Landing Control using Learned Dynamics. (2018) authored by Anima Anandkumar. Guan-Horng Liu et al.: I2SB: Image-to-Image Schrödinger Bridge. (2023) authored by Anima Anandkumar. Yining Wang and Animashree Anandkumar: Online and Differentially-Private Tensor Decomposition. (2016) authored by Anima Anandkumar. Jae Hyun Lim et al.: Score-based Diffusion Models in Function Space. (2023) authored by Anima Anandkumar. Yujia Huang et al.: Neural Networks with Recurrent Generative Feedback. (2020) authored by Anima Anandkumar. Sahin Lale et al.: Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. (2020) authored by Anima Anandkumar. Animashree Anandkumar et al.: Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings. (2014) authored by Anima Anandkumar. Peiyun Hu et al.: Active Learning with Partial Feedback. (2018) authored by Anima Anandkumar. Hanie Sedghi et al.: Guarantees for Multi-Step Stochastic ADMM in High Dimensions. (2014) authored by Anima Anandkumar. Manish Prajapat et al.: Competitive Policy Optimization. (2020) authored by Anima Anandkumar. Jiawei Zhao et al.: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update. (2021) authored by Anima Anandkumar. Sahin Lale et al.: KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. (2022) authored by Anima Anandkumar. Jie Feng et al.: Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. (2022) authored by Anima Anandkumar. Hanie Sedghi and Anima Anandkumar: Provable Methods for Training Neural Networks with Sparse Connectivity. (2015) authored by Anima Anandkumar. Benyamin Allahgholizadeh Haghi et al.: EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. (2023) authored by Anima Anandkumar. M. Amin Khajehnejad et al.: Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing (2011) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Sample-Efficient Deep RL with Generative Adversarial Tree Search. (2018) authored by Anima Anandkumar. Huaizu Jiang et al.: Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. (2022) authored by Anima Anandkumar. Yulong Cao et al.: Robust Trajectory Prediction against Adversarial Attacks. (2022) authored by Anima Anandkumar. Zhiqi Li et al.: FB-BEV: BEV Representation from Forward-Backward View Transformations. (2023) authored by Anima Anandkumar. Animashree Anandkumar et al.: A Method of Moments for Mixture Models and Hidden Markov Models (2012) authored by Anima Anandkumar. Boxin Wang et al.: Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. (2023) authored by Anima Anandkumar. Vincent Y. F. Tan et al.: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates (2010) authored by Anima Anandkumar. Zhuoran Qiao et al.: UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry. (2021) authored by Anima Anandkumar. Pegah Sattari et al.: Active Learning of Multiple Source Multiple Destination Topologies (2012) authored by Anima Anandkumar. Animashree Anandkumar and Ragupathyraj Valluvan: Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees (2012) authored by Anima Anandkumar. Hongkai Zheng et al.: Fast Training of Diffusion Models with Masked Transformers. (2023) authored by Anima Anandkumar. Shuaiwen Leon Song et al.: DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. (2023) authored by Anima Anandkumar. Miguel Liu-Schiaffini et al.: Neural Operators with Localized Integral and Differential Kernels. (2024) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Regularized Learning for Domain Adaptation under Label Shifts. (2019) authored by Anima Anandkumar. Tejaswi Nimmagadda and Anima Anandkumar: Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models. (2015) authored by Anima Anandkumar. Hanie Sedghi and Anima Anandkumar: Provable Tensor Methods for Learning Mixtures of Classifiers. (2014) authored by Anima Anandkumar. Sahin Lale et al.: Regret Minimization in Partially Observable Linear Quadratic Control. (2020) authored by Anima Anandkumar. Bingyin Zhao et al.: Fully Attentional Networks with Self-emerging Token Labeling. (2024) authored by Anima Anandkumar. Animashree Anandkumar et al.: Learning Linear Bayesian Networks with Latent Variables (2012) authored by Anima Anandkumar. Eric Zhao et al.: Active Learning under Label Shift. (2020) authored by Anima Anandkumar. Zizheng Pan et al.: T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. (2024) authored by Anima Anandkumar. Kamyar Azizzadenesheli et al.: Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. (2016) authored by Anima Anandkumar. Shrimai Prabhumoye et al.: Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. (2021) authored by Anima Anandkumar. Michael O'Connell et al.: Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. (2022) authored by Anima Anandkumar. Yiming Li et al.: VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. (2023) authored by Anima Anandkumar. Yashwanth Kumar Nakka et al.: Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. (2020) authored by Anima Anandkumar. Jeffrey Ma et al.: Polymatrix Competitive Gradient Descent. (2021) authored by Anima Anandkumar. Ravi Tej Akella et al.: Deep Bayesian Quadrature Policy Optimization. (2020) authored by Anima Anandkumar. Florian Schäfer et al.: Implicit competitive regularization in GANs. (2019) authored by Anima Anandkumar. Francisco Luongo et al.: Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. (2020) authored by Anima Anandkumar. Peng Xu et al.: MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. (2020) authored by Anima Anandkumar. David Hoeller et al.: Neural Scene Representation for Locomotion on Structured Terrain. (2022) authored by Anima Anandkumar. Jiaqi Gu et al.: HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. (2022) authored by Anima Anandkumar. Yang Shi et al.: Compact Tensor Pooling for Visual Question Answering. (2017) authored by Anima Anandkumar. Zongyi Li et al.: Physics-Informed Neural Operator for Learning Partial Differential Equations. (2021) authored by Anima Anandkumar. Forough Arabshahi and Animashree Anandkumar: Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods. (2016) authored by Anima Anandkumar. Mingjie Liu et al.: An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. (2022) authored by Anima Anandkumar. Haoyu Yang et al.: Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. (2022) authored by Anima Anandkumar. Animashree Anandkumar et al.: High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families (2011) authored by Anima Anandkumar. Yunzhu Li et al.: Causal Discovery in Physical Systems from Videos. (2020) authored by Anima Anandkumar. Anqi Liu et al.: Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. (2021) authored by Anima Anandkumar. Adhithya Prakash Saravanan et al.: Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. (2023) authored by Anima Anandkumar. Grigorios G. Chrysos et al.: Unsupervised Controllable Generation with Self-Training. (2020) authored by Anima Anandkumar. Ismail Elezi et al.: Towards Reducing Labeling Cost in Deep Object Detection. (2021) authored by Anima Anandkumar. Zongyi Li et al.: Geometry-Informed Neural Operator for Large-Scale 3D PDEs. (2023) authored by Anima Anandkumar. Zongyi Li et al.: Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. (2022) authored by Anima Anandkumar. Manli Shu et al.: Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. (2022) authored by Anima Anandkumar. Linxi Fan et al.: MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. (2022) authored by Anima Anandkumar{'author_wikipedia_text': 'Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. Previously, she was a director of Machine Learning research at NVIDIA. Her research considers tensor-algebraic methods, deep learning and non-convex problems.\\\\nAnandkumar was born in Mysore. Her parents are both engineers, and her grandfather was a mathematician. Her great-great-grandfather was the Sanskrit scholar R. Shamasastry. She began to study Bharatanatyam and she learnt this style of dancing for many years. She studied electrical engineering at the Indian Institute of Technology Madras and graduated in 2004. She joined Cornell University for her graduate studies, earning a PhD under the supervision of Lang Tong in 2009. Her first project looked at distributed statistical estimation. She was an IBM Fellow at Cornell University between 2008 and 2009. Her thesis considered Scalable Algorithms for Distributed Statistical Inference. During her PhD she worked in the networking group at IBM on end-to-end service-level transactions. She was a postdoctoral scholar at Massachusetts Institute of Technology until 2010, where she worked in the Stochastic Systems Group with Alan Willsky.\\\\nIn 2010, Anandkumar joined University of California, Irvine, as an assistant professor. At the time, the technology industry was at the beginning of the big data revolution. Here she started working on tensor decompositions of latent variable models. She joined Microsoft Research in New England as a visiting scientist in 2012. In 2013 she was awarded a National Science Foundation CAREER Award to investigate big data and social networks. She was made an assistant professor with tenure at UC Irvine in 2016. She specialised in large-scale machine learning and high-dimensional statistics. Anandkumar was a Principal Scientist at Amazon Web Services from 2016 to 2018. She worked with the Apache MXNet tool, introducing new functionality and developing multi-modal processing algorithms. She represented Amazon Web Services at the Anita Borg Institute in 2017, the Mulan forum for Chinese women entrepreneurs and Shaastra in 2018, discussing Deep Learning. She also worked on Amazon Rekognition, Amazon Lex and Amazon Polly. She was involved with the launch of Amazon SageMaker, an opportunity for developers to use machine learning models.\\\\nAnandkumar joined the Machine Learning Conference Board of Advisors in 2018. In 2018, Anandkumar joined NVIDIA as Director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. At NVIDIA she opened a new core laboratories in artificial intelligence and machine learning in Santa Clara. She has pushed for governments to invest in robotics and artificial intelligence. She spoke at the 2018 TEDxIndiana University about the algorithms she has developed to process big data.\\\\nAnandkumar is committed to improving diversity in the technology sector. She launched a petition to Timothy A. Gonsalves to try and convince him at the Ministry of Human Resource Development to end gender segregation in the admissions process at the Indian Institute of Technology Madras. The petition calls for campus-wide systems to monitor sexual harassment, improved campus security and increased engagement with alumni. She has spoken openly about her own experiences of sexual harassment on social media and called for Intel to stop using female acrobats as entertainment at their conference parties. She was one of several campaigners to rename the Conference on Neural Information Processing Systems \\\\'NIPS\\\\' as NeurIPS. In 2018, she was awarded a New York Times Good Tech Award.\\\\nIn December 2020, Anandkumar was embroiled in a Twitter controversy, when she published a list of individuals who allegedly followed, liked or supported any Tweets made by Prof Pedro Domingos allegedly in relation to his controversial views on the renaming of NeurIPS, Timnit Gebru\\\\'s controversial exit at Google, algorithmic bias or cancel culture, or simply followed him on Twitter. She never clarified how she actually came up with that list. She suggested that followers \\\"try and change the mind of [these] fanboys of Pedro[...] Especially junior people\\\". Following prompt backlash from individuals concerned about the circulation of such a blacklist, Anandkumar deactivated her Twitter account temporarily and issued an apology stating \\\"I am by no means perfect. I am sorry if my actions/words have ever created a threatening environment. My intention was to change hearts and minds, and to raise awareness to the struggles that women and minorities face both online and in the real world. I will find better ways to achieve that goal\\\".\\\\nAnandkumar has won several awards and honours, including:'}\",\n \"verbalizer_on_all_triples\": \"Anima Anandkumar has a written paper amount of 4 in year 2012.\\nAnima Anandkumar has a written paper amount of 5 in 2013.\\nAnima Anandkumar has a written paper amount of 17 in 2014.\\nAnima Anandkumar has a written paper amount of 10 in 2015.\\nAnima Anandkumar has a written paper amount of 10 in 2016.\\nAnima Anandkumar has 12 written papers.\\nAnima Anandkumar has a written paper amount of 22.\\nAnima Anandkumar's written paper amount in year 2019 is 30.\\nAnima Anandkumar's written paper amount in year 2020 is 45.\\nAnima Anandkumar's written paper amount in year2021 is 87.\\nAnima Anandkumar's written paper amount in year 2022 is 72.\\nAnima Anandkumar's written paper amount in year2023 is 49.\\nAnima Anandkumar has a 2YrMeanCitedness of 1.3106060028076171875.\\nAnima Anandkumar is affiliated with the California Institute of Technology, Pasadena, USA, the University of California, Irvine, Center for Pervasive Communications and Computing and NVIDIA, USA.\\nAnima Anandkumar is also known as Animashree Anandkumar and A.c Anandkumar.\\nAnimashree Anandkumar et al.: When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity. (2015), Anima Anandkumar: Neural Operators for Solving PDEs and Inverse Design. (2023), Josiah Wong et al.: OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. (20\\nAnima Anandkumar is cited by count of 2712.\\nDawn Song et al.: ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021 (2021) was edited by Anima Anandkumar.\\nAnima Anandkumar has a h-index of 26.\\nAnima Anandkumar has a i10Index of 67.\\nAnima Anandkumar is the creator and the author of Anima Anandkumar.\\nAnima Anandkumar is linked to \\\"https://twitter.com/animaanandkumar, http://newport.eecs.uci.edu/anandkumar/, https://en.wikipedia.org/wiki/Anima_Anandkumar, http://www.wikidata.org/entity/Q29167831, https://mathgenealogy.org/id.php?id=248364, https://dl.a\\nAnima Anandkumar is a member of Nvidia (United States).\\nAnima Anandkumar was modified on 2023-10-18.\\nAnima Anandkumar's name is Anima Anandkumar.\\nAnima Anandkumar has orcidId https://orcid.org/0000-0002-6974-6797.\\nAnima Anandkumar is affiliated with the California Institute of Technology, Pasadena, USA.\\nAnima Anandkumar has 367 works.{'author_wikipedia_text': 'Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. Previously, she was a director of Machine Learning research at NVIDIA. Her research considers tensor-algebraic methods, deep learning and non-convex problems.\\\\nAnandkumar was born in Mysore. Her parents are both engineers, and her grandfather was a mathematician. Her great-great-grandfather was the Sanskrit scholar R. Shamasastry. She began to study Bharatanatyam and she learnt this style of dancing for many years. She studied electrical engineering at the Indian Institute of Technology Madras and graduated in 2004. She joined Cornell University for her graduate studies, earning a PhD under the supervision of Lang Tong in 2009. Her first project looked at distributed statistical estimation. She was an IBM Fellow at Cornell University between 2008 and 2009. Her thesis considered Scalable Algorithms for Distributed Statistical Inference. During her PhD she worked in the networking group at IBM on end-to-end service-level transactions. She was a postdoctoral scholar at Massachusetts Institute of Technology until 2010, where she worked in the Stochastic Systems Group with Alan Willsky.\\\\nIn 2010, Anandkumar joined University of California, Irvine, as an assistant professor. At the time, the technology industry was at the beginning of the big data revolution. Here she started working on tensor decompositions of latent variable models. She joined Microsoft Research in New England as a visiting scientist in 2012. In 2013 she was awarded a National Science Foundation CAREER Award to investigate big data and social networks. She was made an assistant professor with tenure at UC Irvine in 2016. She specialised in large-scale machine learning and high-dimensional statistics. Anandkumar was a Principal Scientist at Amazon Web Services from 2016 to 2018. She worked with the Apache MXNet tool, introducing new functionality and developing multi-modal processing algorithms. She represented Amazon Web Services at the Anita Borg Institute in 2017, the Mulan forum for Chinese women entrepreneurs and Shaastra in 2018, discussing Deep Learning. She also worked on Amazon Rekognition, Amazon Lex and Amazon Polly. She was involved with the launch of Amazon SageMaker, an opportunity for developers to use machine learning models.\\\\nAnandkumar joined the Machine Learning Conference Board of Advisors in 2018. In 2018, Anandkumar joined NVIDIA as Director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. At NVIDIA she opened a new core laboratories in artificial intelligence and machine learning in Santa Clara. She has pushed for governments to invest in robotics and artificial intelligence. She spoke at the 2018 TEDxIndiana University about the algorithms she has developed to process big data.\\\\nAnandkumar is committed to improving diversity in the technology sector. She launched a petition to Timothy A. Gonsalves to try and convince him at the Ministry of Human Resource Development to end gender segregation in the admissions process at the Indian Institute of Technology Madras. The petition calls for campus-wide systems to monitor sexual harassment, improved campus security and increased engagement with alumni. She has spoken openly about her own experiences of sexual harassment on social media and called for Intel to stop using female acrobats as entertainment at their conference parties. She was one of several campaigners to rename the Conference on Neural Information Processing Systems \\\\'NIPS\\\\' as NeurIPS. In 2018, she was awarded a New York Times Good Tech Award.\\\\nIn December 2020, Anandkumar was embroiled in a Twitter controversy, when she published a list of individuals who allegedly followed, liked or supported any Tweets made by Prof Pedro Domingos allegedly in relation to his controversial views on the renaming of NeurIPS, Timnit Gebru\\\\'s controversial exit at Google, algorithmic bias or cancel culture, or simply followed him on Twitter. She never clarified how she actually came up with that list. She suggested that followers \\\"try and change the mind of [these] fanboys of Pedro[...] Especially junior people\\\". Following prompt backlash from individuals concerned about the circulation of such a blacklist, Anandkumar deactivated her Twitter account temporarily and issued an apology stating \\\"I am by no means perfect. I am sorry if my actions/words have ever created a threatening environment. My intention was to change hearts and minds, and to raise awareness to the struggles that women and minorities face both online and in the real world. I will find better ways to achieve that goal\\\".\\\\nAnandkumar has won several awards and honours, including:'}\",\n \"verbalizer_plus_evidence_matching\": \"Anima Anandkumar: Neural Operators for Solving PDEs and Inverse Design. (2010), Pan Xu et al.: Langevin Monte Carlo for Contextual Bandits. (2022), Taylan Kargin et al.: Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. (2021), Florian Schäfer et al.: Implicit competitive regularization in GANs. (2016) Her research considers tensor-algebraic methods, deep learning and non-convex problems. \\\\nAnandkumar joined the Machine Learning Conference Board of Advisors in 2018. Her thesis considered Scalable Algorithms for Distributed Statistical Inference. Here she started working on tensor decompositions of latent variable models. {'author_wikipedia_text': 'Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. She was one of several campaigners to rename the Conference on Neural Information Processing Systems \\\\'NIPS\\\\' as NeurIPS. \\\\nIn 2010, Anandkumar joined University of California, Irvine, as an assistant professor. In 2018, Anandkumar joined NVIDIA as Director of Machine Learning Research, and Caltech as the Bren Professor of Computing and Mathematical Sciences. Her first project looked at distributed statistical estimation. She was a postdoctoral scholar at Massachusetts Institute of Technology until 2010, where she worked in the Stochastic Systems Group with Alan Willsky\"\n}"}}},{"rowIdx":97,"cells":{"id":{"kind":"string","value":"454a5401-dd07-4158-ad81-6e4e6e725e2d"},"triples_number":{"kind":"number","value":236,"string":"236"},"question":{"kind":"string","value":"How many publications does the contributor who published the paper titled 'A distortion measure for blocking artifacts in images based on human visual sensitivity' with Nick G. Kingsbury at University of Cambridge, UK, have?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"4\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"22\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"18\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"24\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"21\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"17\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"11\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"1.9777777194976806641\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"University of Melbourne, School of Computing and Information Systems, Australia\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"S. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"S.A. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika A. Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"alternativeName\",\n \"subject\": \"Shanika Karunasekera\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Rabindra Lamsal et al.: MegaGeoCOV Extended. (2023)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sarah M. Erfani et al.: R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. (2015)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Thaneswaran Velauthapillai et al.: Global Detection of Flooding-Based DDoS Attacks Using a Cooperative Overlay Network. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ayodele Oluyomi et al.: An Agent Design Pattern Classification Scheme: Capturing the Notions of Agency in Agent Design Patterns. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Client Profiling for QoS-Based Web Service Recommendation. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chenfeng Vincent Zhou et al.: Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. (2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Elankovan Sundararajan et al.: Algorithmic-Parameter Optimization of a Parallelized Split-Step Fourier Transform Using a Modified BSP Cost Model. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shan Suthaharan et al.: Sensor data boundary estimation for anomaly detection in wireless sensor networks. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Chao Huang et al.: Directions for Peer-to-Peer based mobile pervasive augmented reality gaming. (2007)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Imran Rao et al.: Impacts of Asynchrony on Epidemic-Style Aggregation Protocols. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Masud Moshtaghi et al.: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. (2011)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Udesh Gunarathna et al.: e-SMARTS: a system to simulate intelligent traffic management solutions (demo paper). (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Udesh Gunarathna et al.: Dynamic graph combinatorial optimization with multi-attention deep reinforcement learning. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Eman Bin Khunayn et al.: Exploiting Data Dependency to Mitigate Stragglers in Distributed Spatial Simulation. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lakmal Muthugama et al.: Platooning Graph for Safer Traffic Management. (2020)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lakmal Muthugama et al.: Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Personalized Itinerary Recommendation with Queuing Time Awareness. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Lipo Chan et al.: A Tool to Support Perspective Based Approach to Software Code Inspection. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kevin Chan et al.: Agent-Oriented Software Analysis. (2004)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pei Pei Kuan et al.: Improving Goal and Role Oriented Analysis for Agent Based Systems. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Ayodele Oluyomi et al.: Design of Agent-Oriented Pattern Templates. (2006)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Automatic Measurement of a QoS Metric for Web Service Recommendation. (2005)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Niko Thio and Shanika Karunasekera: Web Service Recommendation Based on Client-Side Performance Estimation. 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(2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sachini Jayasekara et al.: Communication Model for Parallel Iterative Stream Processing. (2018)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika Karunasekera et al.: Topic-specific post identification in microblog streams. (2014)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Spatial-based topic modelling using wikidata knowledge base. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Pasan Karunaratne et al.: Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. (2017)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sarah M. Erfani et al.: Privacy-preserving data aggregation in Participatory Sensing Networks. (2013)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Sutharshan Rajasegarar et al.: High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. (2014)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Mohammed Jubaer Arif et al.: GeoWeight: internet host geolocation based on a probability model for latency measurements. (2010)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Amila Silva et al.: Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Shanika A. Karunasekera and Nick G. Kingsbury: Distortion measure for blocking artifacts in images based on human visual sensitivity. (1993)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Kwan Hui Lim et al.: Geotagging tweets to landmarks using convolutional neural networks with text and posting time. (2019)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zahra Ghafoori et al.: Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. 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(2012)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Muhammed Tawfiqul Islam et al.: A multi-level caching architecture for stateful stream computation. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"K. S. Vijayalayan et al.: An Energy Efficient Distributed Scheduling Scheme for Wireless Mesh Networks. (2013)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Zainab R. Zaidi et al.: Demystifying the COVID-19 vaccine discourse on Twitter. (2022)\"\n },\n {\n \"object\": \"Shanika Karunasekera\",\n \"predicate\": \"authored by\",\n \"subject\": \"Yi Han et al.: Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. 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Shanika Karunasekera written paper amount in year2016: 10. Shanika Karunasekera written paper amount in year2016: 10. Shanika Karunasekera written paper amount in year2017: 22. Shanika Karunasekera written paper amount in year2017: 22. Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019) authored by Shanika Karunasekera. Shanika Karunasekera written paper amount in year2014: 10. Shanika Karunasekera written paper amount in year2014: 10. Shanika Karunasekera written paper amount in year2015: 10. Shanika Karunasekera written paper amount in year2015: 10. Shanika Karunasekera written paper amount in year2018: 11. Shanika Karunasekera written paper amount in year2018: 11. Shanika Karunasekera written paper amount in year2012: 7. Shanika Karunasekera written paper amount in year2012: 7. Shanika Karunasekera written paper amount in year2022: 17 in Electrical Engineering from the University of Cambridge, UK in 1995. {'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne\",\n \"plain\": \"Shanika Karunasekera is Author. Shanika Karunasekera modified 2023-10-18. Shanika Karunasekera citedByCount 3222. Shanika Karunasekera written paper amount in year2012: 7. Shanika Karunasekera written paper amount in year2012: 7. Shanika Karunasekera written paper amount in year2013: 4. Shanika Karunasekera written paper amount in year2013: 4. Shanika Karunasekera written paper amount in year2014: 10. Shanika Karunasekera written paper amount in year2014: 10. Shanika Karunasekera written paper amount in year2015: 10. Shanika Karunasekera written paper amount in year2015: 10. Shanika Karunasekera written paper amount in year2016: 10. Shanika Karunasekera written paper amount in year2016: 10. Shanika Karunasekera written paper amount in year2017: 22. Shanika Karunasekera written paper amount in year2017: 22. Shanika Karunasekera written paper amount in year2018: 11. Shanika Karunasekera written paper amount in year2018: 11. Shanika Karunasekera written paper amount in year2019: 18. Shanika Karunasekera written paper amount in year2019: 18. Shanika Karunasekera written paper amount in year2020: 24. Shanika Karunasekera written paper amount in year2020: 24. Shanika Karunasekera written paper amount in year2021: 21. Shanika Karunasekera written paper amount in year2021: 21. Shanika Karunasekera written paper amount in year2022: 17. Shanika Karunasekera written paper amount in year2022: 17. Shanika Karunasekera written paper amount in year2023: 11. Shanika Karunasekera written paper amount in year2023: 11. Shanika Karunasekera worksCount 231. Shanika Karunasekera name Shanika Karunasekera. Shanika Karunasekera member of University of Melbourne. Shanika Karunasekera h-index 24. Shanika Karunasekera 2YrMeanCitedness 1.9777777194976806641. Shanika Karunasekera alternativeName S. Karunasekera. Shanika Karunasekera alternativeName S.A. Karunasekera. Shanika Karunasekera alternativeName Shanika A. Karunasekera. Shanika Karunasekera alternativeName Shanika Karunasekera. Shanika Karunasekera i10Index 63. Shanika Karunasekera orcidId https://orcid.org/0000-0001-7080-5064. Shanika Karunasekera scopus http://www.scopus.com/inward/authorDetails.url?authorID=55925860100&partnerID=MN8TOARS. Shanika Karunasekera is Creator. Shanika Karunasekera is Person. Shanika Karunasekera link http://www.wikidata.org/entity/Q7488645. Shanika Karunasekera link http://www.wikidata.org/entity/Q80745584. Shanika Karunasekera affiliation University of Melbourne, School of Computing and Information Systems, Australia. Shanika Karunasekera link http://findanexpert.unimelb.edu.au/display/person18115. Shanika Karunasekera primary affiliation University of Melbourne, School of Computing and Information Systems, Australia. Shanika Karunasekera link http://findanexpert.unimelb.edu.au/display/person18115. Shanika Karunasekera link https://scholar.google.com/citations?user=WG0tRVcAAAAJ. Shanika Karunasekera link https://en.wikipedia.org/wiki/Shanika_Karunasekera. Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023) authored by Shanika Karunasekera. Rabindra Lamsal et al.: MegaGeoCOV Extended. (2023) authored by Shanika Karunasekera. Sarah M. Erfani et al.: R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. (2015) authored by Shanika Karunasekera. Thaneswaran Velauthapillai et al.: Global Detection of Flooding-Based DDoS Attacks Using a Cooperative Overlay Network. (2010) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: An Agent Design Pattern Classification Scheme: Capturing the Notions of Agency in Agent Design Patterns. (2004) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Client Profiling for QoS-Based Web Service Recommendation. (2005) authored by Shanika Karunasekera. Hairuo Xie et al.: A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. (2017) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. (2007) authored by Shanika Karunasekera. Elankovan Sundararajan et al.: Algorithmic-Parameter Optimization of a Parallelized Split-Step Fourier Transform Using a Modified BSP Cost Model. (2004) authored by Shanika Karunasekera. Shan Suthaharan et al.: Sensor data boundary estimation for anomaly detection in wireless sensor networks. (2010) authored by Shanika Karunasekera. Chao Huang et al.: Directions for Peer-to-Peer based mobile pervasive augmented reality gaming. (2007) authored by Shanika Karunasekera. Imran Rao et al.: Impacts of Asynchrony on Epidemic-Style Aggregation Protocols. (2010) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. (2011) authored by Shanika Karunasekera. Udesh Gunarathna et al.: e-SMARTS: a system to simulate intelligent traffic management solutions (demo paper). (2022) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Dynamic graph combinatorial optimization with multi-attention deep reinforcement learning. (2022) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Exploiting Data Dependency to Mitigate Stragglers in Distributed Spatial Simulation. (2017) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Platooning Graph for Safer Traffic Management. (2020) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management. (2022) authored by Shanika Karunasekera. Hairuo Xie et al.: A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). (2022) authored by Shanika Karunasekera. Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019) authored by Shanika Karunasekera. Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized Itinerary Recommendation with Queuing Time Awareness. (2017) authored by Shanika Karunasekera. Lipo Chan et al.: A Tool to Support Perspective Based Approach to Software Code Inspection. (2005) authored by Shanika Karunasekera. Kevin Chan et al.: Agent-Oriented Software Analysis. (2004) authored by Shanika Karunasekera. Pei Pei Kuan et al.: Improving Goal and Role Oriented Analysis for Agent Based Systems. (2005) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Design of Agent-Oriented Pattern Templates. (2006) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Automatic Measurement of a QoS Metric for Web Service Recommendation. (2005) authored by Shanika Karunasekera. Niko Thio and Shanika Karunasekera: Web Service Recommendation Based on Client-Side Performance Estimation. (2007) authored by Shanika Karunasekera. Craig Burton et al.: A Distributed Network Architecture for Robust Internet Voting Systems. (2005) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? (2021) authored by Shanika Karunasekera. Shanika Karunasekera et al.: A Decentralized Dynamic Sensor Activation Protocol for Chemical Sensor Networks. (2010) authored by Shanika Karunasekera. K. S. Vijayalayan et al.: Fast Channel Establishment for IEEE 802.16 Wireless Mesh Networks. (2010) authored by Shanika Karunasekera. Amila Silva et al.: Embedding Partial Propagation Network for Fake News Early Detection. (2020) authored by Shanika Karunasekera. Amila Silva et al.: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. (2020) authored by Shanika Karunasekera. Yasmeen M. George et al.: Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. (2019) authored by Shanika Karunasekera. Aaron Harwood et al.: Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. (2019) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Communication Model for Parallel Iterative Stream Processing. (2018) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017) authored by Shanika Karunasekera. Shanika Karunasekera et al.: Topic-specific post identification in microblog streams. (2014) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Spatial-based topic modelling using wikidata knowledge base. (2017) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. (2017) authored by Shanika Karunasekera. Sarah M. Erfani et al.: Privacy-preserving data aggregation in Participatory Sensing Networks. (2013) authored by Shanika Karunasekera. Sutharshan Rajasegarar et al.: High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. (2014) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: GeoWeight: internet host geolocation based on a probability model for latency measurements. (2010) authored by Shanika Karunasekera. Amila Silva et al.: Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. (2022) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: Distortion measure for blocking artifacts in images based on human visual sensitivity. (1993) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Geotagging tweets to landmarks using convolutional neural networks with text and posting time. (2019) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. (2019) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-Time Lane Configuration with Coordinated Reinforcement Learning. (2020) authored by Shanika Karunasekera. Kwan Hui Lim et al.: RAPID: Real-time Analytics Platform for Interactive Data Mining. (2018) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for image artifacts based on human visual sensitivity. (1994) authored by Shanika Karunasekera. Sameendra Samarawickrama et al.: Search Result Personalization in Twitter Using Neural Word Embeddings. (2017) authored by Shanika Karunasekera. Yi Han et al.: Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. (2019) authored by Shanika Karunasekera. Kwan Hui Lim et al.: ClusTop: A clustering-based topic modelling algorithm for twitter using word networks. (2017) authored by Shanika Karunasekera. Amila Silva et al.: USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. (2019) authored by Shanika Karunasekera. Ehsan Abedin et al.: Credible vs Fake: A Literature Review on Differentiating Online Reviews based on Credibility. (2020) authored by Shanika Karunasekera. Irum Bukhari et al.: Handling Churn in Similarity Based Clustering Overlays Using Weighted Benefit. (2017) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Reliable Agile Iterative Planning via Predicting Documentation Changes of Work Items. (2022) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: SOVoIP: middleware for universal VoIP connectivity. (2007) authored by Shanika Karunasekera. Lipo Chan et al.: CAESAR: middleware for complex service-oriented peer-to-peer applications. (2007) authored by Shanika Karunasekera. Imran Rao et al.: A gossip-based asynchronous aggregation protocol for P2P systems. (2010) authored by Shanika Karunasekera. Saeed Shahbazi et al.: An analytical model for performance evaluation in sparse mobile ad hoc networks. (2009) authored by Shanika Karunasekera. Elaheh Momeni et al.: Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. (2018) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Towards Next Generation Touring: Personalized Group Tours. (2016) authored by Shanika Karunasekera. Gayashan Amarasinghe et al.: A Data Stream Processing Optimisation Framework for Edge Computing Applications. (2018) authored by Shanika Karunasekera. Yi Han et al.: Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. (2020) authored by Shanika Karunasekera. Sarah M. Erfani et al.: Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. (2014) authored by Shanika Karunasekera. Kushani Perera et al.: Feature Selection for Multiclass Binary Data. (2018) authored by Shanika Karunasekera. Kushani Perera et al.: Group Based Unsupervised Feature Selection. (2020) authored by Shanika Karunasekera. Lipo Chan and Shanika Karunasekera: Designing Configurable Publish-Subscribe Scheme for Decentralised Overlay Networks. (2007) authored by Shanika Karunasekera. Saeed Shahbazi et al.: On Placement of Passive Stationary Relay Points in Delay Tolerant Networking. (2011) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Improved Template for Agent Pattern Description. (2005) authored by Shanika Karunasekera. Sameendra Samarawickrama et al.: Finding High-Level Topics and Tweet Labeling Using Topic Models. (2015) authored by Shanika Karunasekera. Saeed Shahbazi et al.: Achieving Ubiquitous Network Connectivity Using an RFID Tag-Based Routing Protocol. (2008) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A Multi-stage Hierarchical Window Model with Application to Real-Time Graph Analysis. (2017) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Straggler Mitigation for Distributed Behavioral Simulation. (2017) authored by Shanika Karunasekera. Timothy Baldwin et al.: A Support Platform for Event Detection using Social Intelligence. (2012) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: A multi-level caching architecture for stateful stream computation. (2022) authored by Shanika Karunasekera. K. S. Vijayalayan et al.: An Energy Efficient Distributed Scheduling Scheme for Wireless Mesh Networks. (2013) authored by Shanika Karunasekera. Zainab R. Zaidi et al.: Demystifying the COVID-19 vaccine discourse on Twitter. (2022) authored by Shanika Karunasekera. Yi Han et al.: Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. (2020) authored by Shanika Karunasekera. Anupama Mampage et al.: A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications. (2023) authored by Shanika Karunasekera. Ehsan Abedin et al.: What Makes a Review Credible? Heuristic and Systematic Factors for the Credibility of Online Reviews. (2019) authored by Shanika Karunasekera. Ehsan Abedin et al.: Are Online Consumer Reviews Credible? A Predictive Model based on Deep Learning. (2022) authored by Shanika Karunasekera. Amila Silva et al.: Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. (2021) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. (2016) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. (2015) authored by Shanika Karunasekera. Ehsan Abedin et al.: Towards a Credibility Analysis Model for Online Reviews. (2019) authored by Shanika Karunasekera. Amila Silva et al.: OMBA: User-Guided Product Representations for Online Market Basket Analysis. (2020) authored by Shanika Karunasekera. Kwan Hui Lim et al.: PersTour: A Personalized Tour Recommendation and Planning System. (2016) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. (2008) authored by Shanika Karunasekera. Sameera Kannangara et al.: Introducing Diversion Graph for Real-Time Spatial Data Analysis with Location Based Social Networks. (2021) authored by Shanika Karunasekera. Xunyun Liu et al.: E-Storm: Replication-Based State Management in Distributed Stream Processing Systems. (2017) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Location-based social networking for obtaining personalised driving advice. (2015) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Using a Traffic Simulator for Navigation Service. (2017) authored by Shanika Karunasekera. Morteza Mousavi Barroudi et al.: Map-based spatio-temporal interpolation in vehicle trajectory data using routing web-services. (2012) authored by Shanika Karunasekera. Sameera Kannangara et al.: Stepping stone graph for public movement analysis. (2018) authored by Shanika Karunasekera. Sameera Kannangara et al.: Tracking Group Movement in Location Based Social Networks. (2020) authored by Shanika Karunasekera. Hairuo Xie et al.: Studying transportation problems with the SMARTS simulator (demo paper). (2018) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-Time Intelligent Autonomous Intersection Management Using Reinforcement Learning. (2022) authored by Shanika Karunasekera. Fred Morstatter et al.: From Alt-Right to Alt-Rechts: Twitter Analysis of the 2017 German Federal Election. (2018) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Enhancing the Scalability and Performance of Iterative Graph Algorithms on Apache Storm. (2018) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. (2015) authored by Shanika Karunasekera. Shanika Karunasekera and Kunal Bedse: Preparing Software Engineering Graduates for an Industry Career. (2007) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Effective Traffic Forecasting with Multi-Resolution Learning. (2021) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments. (2022) authored by Shanika Karunasekera. Anupama Mampage et al.: Deadline-aware Dynamic Resource Management in Serverless Computing Environments. (2021) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Unsupervised Parameter Estimation for One-Class Support Vector Machines. (2016) authored by Shanika Karunasekera. Kushani Perera et al.: A Framework for Feature Selection to Exploit Feature Group Structures. (2020) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: Cost-efficient dynamic scheduling of big data applications in apache spark on cloud. (2020) authored by Shanika Karunasekera. Shanika A. Karunasekera and Nick G. Kingsbury: A distortion measure for blocking artifacts in images based on human visual sensitivity. (1995) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Streaming analysis in wireless sensor networks. (2014) authored by Shanika Karunasekera. Gayashan Amarasinghe et al.: ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments. (2020) authored by Shanika Karunasekera. Anupama Mampage et al.: Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments. (2023) authored by Shanika Karunasekera. Zahra Ghafoori et al.: LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. (2020) authored by Shanika Karunasekera. Hairuo Xie et al.: Generating traffic data for any city using SMARTS simulator. (2019) authored by Shanika Karunasekera. Masud Moshtaghi et al.: An efficient hyperellipsoidal clustering algorithm for resource-constrained environments. (2011) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems. (2019) authored by Shanika Karunasekera. Anupama Mampage et al.: A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions. (2021) authored by Shanika Karunasekera. Mohammed Jubaer Arif et al.: Internet Host Geolocation Using Maximum Likelihood Estimation Technique. (2010) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark. (2017) authored by Shanika Karunasekera. Shanika Karunasekera et al.: A Distributed eResearch Tool for Evaluating Source Backtracking Algorithms. (2010) authored by Shanika Karunasekera. Rajiv Ranjan et al.: Decentralised Resource Discovery Service for Large Scale Federated Grids. (2007) authored by Shanika Karunasekera. I. F. Bukhari et al.: Optimum Benefit Protocol: A fast converging, bandwidth-efficient decentralized similarity overlay. (2017) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems. (2019) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning. (2022) authored by Shanika Karunasekera. Amila Silva et al.: Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals. (2023) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Intelligent Autonomous Intersection Management. (2022) authored by Shanika Karunasekera. Amila Silva et al.: OMBA: User-Guided Product Representations for Online Market Basket Analysis. (2020) authored by Shanika Karunasekera. Yang Liao et al.: Mining Micro-blogs: Opportunities and Challenges. (2012) authored by Shanika Karunasekera. Yi Han et al.: Continual Learning for Fake News Detection from Social Media. (2021) authored by Shanika Karunasekera. Masud Moshtaghi et al.: An adaptive elliptical anomaly detection model for wireless sensor networks. (2014) authored by Shanika Karunasekera. Muhammed Tawfiqul Islam et al.: Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments. (2022) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Real-time Road Network Optimization with Coordinated Reinforcement Learning. (2023) authored by Shanika Karunasekera. Kotagiri Ramamohanarao et al.: SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. (2017) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: Description templates for agent-oriented patterns. (2008) authored by Shanika Karunasekera. Anupama Mampage et al.: A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions. (2022) authored by Shanika Karunasekera. Kanthaiah Sivapragasam Vijayalayan et al.: Distributed scheduling schemes for wireless mesh networks: A survey. (2013) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Tour recommendation and trip planning using location-based social media: a survey. (2019) authored by Shanika Karunasekera. Amila Silva et al.: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. (2020) authored by Shanika Karunasekera. Yi Han et al.: Knowledge Enhanced Multi-modal Fake News Detection. (2021) authored by Shanika Karunasekera. Pasan Karunaratne et al.: PSF+ - Fast and improved electricity consumption prediction in campus environments. (2017) authored by Shanika Karunasekera. Amila Silva et al.: Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. (2021) authored by Shanika Karunasekera. Sachini Jayasekara et al.: Optimizing checkpoint-based fault-tolerance in distributed stream processing systems: Theory to practice. (2022) authored by Shanika Karunasekera. Yasmeen M. George et al.: Real-time spatio-temporal event detection on geotagged social media. (2021) authored by Shanika Karunasekera. Wenchuan Mu et al.: A clustering-based topic model using word networks and word embeddings. (2022) authored by Shanika Karunasekera. Masud Moshtaghi et al.: Evolving Fuzzy Rules for Anomaly Detection in Data Streams. (2015) authored by Shanika Karunasekera. Imran Rao et al.: On Problem for Aggregate Node Selection for Unstructured Overlay Networks. (2010) authored by Shanika Karunasekera. Morteza Mousavi Barroudi et al.: Feature selection for user motion pattern recognition in mobile networks. (2012) authored by Shanika Karunasekera. Imran Rao et al.: Gossip-based asynchronous and robust aggregation protocol - A pessimistic approach. (2011) authored by Shanika Karunasekera. Imran Rao et al.: Adaptive Expression Based Routing Protocol for P2P Systems. (2007) authored by Shanika Karunasekera. Lipo Chan and Shanika Karunasekera: Systematic Development of Quality Aware Decentralised Service-Oriented Systems. (2007) authored by Shanika Karunasekera. Abdullah AlDwyish et al.: Follow The Best: Crowdsourced Automated Travel Advice. (2017) authored by Shanika Karunasekera. Lakmal Muthugama et al.: Real-time road safety optimization through network-level data management. (2023) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Collaborative Detection of Fast Flux Phishing Domains. (2009) authored by Shanika Karunasekera. Sutharshan Rajasegarar et al.: High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. (2014) authored by Shanika Karunasekera. Sarah M. Erfani et al.: High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. (2016) authored by Shanika Karunasekera. Ayodele Oluyomi et al.: A comprehensive view of agent-oriented patterns. (2007) authored by Shanika Karunasekera. Yi Han et al.: Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. (2020) authored by Shanika Karunasekera. Saeed Shahbazi et al.: Improving performance in delay/disruption tolerant networks through passive relay points. (2012) authored by Shanika Karunasekera. Sachini Jayasekara et al.: A utilization model for optimization of checkpoint intervals in distributed stream processing systems. (2020) authored by Shanika Karunasekera. Ehsan Abedin et al.: Exploring the Moderating Role of Readers' Perspective in Evaluations of Online Consumer Reviews. (2021) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: A survey of coordinated attacks and collaborative intrusion detection. (2010) authored by Shanika Karunasekera. Edward Curry et al.: Middleware 2007 Works in Progress. (2007) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Story points changes in agile iterative development. (2022) authored by Shanika Karunasekera. Anthony Y. Lui et al.: The Enhanced Service Manager: A service management system for next-generation networks. (2000) authored by Shanika Karunasekera. Chenfeng Vincent Zhou et al.: Decentralized multi-dimensional alert correlation for collaborative intrusion detection. (2009) authored by Shanika Karunasekera. Rabindra Lamsal et al.: A Twitter narrative of the COVID-19 pandemic in Australia. (2023) authored by Shanika Karunasekera. Fengze Sun et al.: Urban Region Representation Learning with Attentive Fusion. (2023) authored by Shanika Karunasekera. Zahra Ghafoori et al.: Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. (2018) authored by Shanika Karunasekera. Sameera Kannangara et al.: Stepping Stone Graph: A Graph for Finding Movement Corridors using Sparse Trajectories. (2019) authored by Shanika Karunasekera. Eman Bin Khunayn et al.: Dynamic Straggler Mitigation for Large-Scale Spatial Simulations. (2023) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data. (2017) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection. (2018) authored by Shanika Karunasekera. Pasan Karunaratne et al.: Distributed stream clustering using micro-clusters on Apache Storm. (2017) authored by Shanika Karunasekera. Kwan Hui Lim et al.: Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. (2018) authored by Shanika Karunasekera. Shanika Karunasekera et al.: Mining Influentials and their Bot Activities on Twitter Campaigns. (2020) authored by Shanika Karunasekera. Rabindra Lamsal et al.: BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration. (2023) authored by Shanika Karunasekera. Rabindra Lamsal et al.: CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts. (2023) authored by Shanika Karunasekera. Yasmeen M. George et al.: Real-time Spatio-temporal Event Detection on Geotagged Social Media. (2021) authored by Shanika Karunasekera. Zainab R. Zaidi et al.: To be a pro-vax or not, the COVID-19 vaccine conundrum on Twitter. (2023) authored by Shanika Karunasekera. Amila Silva et al.: Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. (2021) authored by Shanika Karunasekera. Udesh Gunarathna et al.: Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories. (2019) authored by Shanika Karunasekera. Jirat Pasuksmit et al.: Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? (2021) authored by Shanika Karunasekera. Amila Silva et al.: USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. (2019) authored by Shanika Karunasekera. Yi Han et al.: Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. (2019) authored by Shanika Karunasekera. Seyed Morteza Mousavi et al.: Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data. (2016) authored by Shanika Karunasekera{'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne. Dr. Karunasekera completed her Ph.D. in Electrical Engineering from the University of Cambridge, UK in 1995. Earlier she completed her B.Sc. in Electronics and Telecommunication Engineering at the University of Moratuwa, Sri Lanka.\\\\nDr. Karunasekera was born in Sri Lanka.'}\",\n \"verbalizer_on_all_triples\": \"Shanika Karunasekera has a written paper amount of 7 in year 2012.\\nShanika Karunasekera has a written paper amount of 4 in 2013.\\nShanika Karunasekera wrote 10 papers in 2014.\\nShanika Karunasekera wrote 10 papers in 2015.\\nShanika Karunasekera wrote 10 papers in 2016.\\nShanika Karunasekera has written paper amount in year 2017: 22.\\nShanika Karunasekera wrote 11 papers in 2018.\\nShanika Karunasekera has a written paper amount of 18 in year 2019.\\nShanika Karunasekera has a written paper amount of 24 in year 2020.\\nShanika Karunasekera has written paper amount in year2021: 21.\\nShanika Karunasekera has a written paper amount of 17 in year 2022.\\nShanika Karunasekera has written paper amount in year2023: 11.\\nShanika Karunasekera has a 2YrMeanCitedness of 1.9777777194976806641.\\nShanika Karunasekera is affiliated with the University of Melbourne, School of Computing and Information Systems, Australia.\\nShanika A. Karunasekera and S.A. Karunasekera are alternative names for Shanika Karunasekera.\\n\\\"Pasan Karunaratne et al.: Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. (2017), Imran Rao et al.: An unstructured peer-to-peer approach to aggregate node selection. (2008), Anupama Mampage et al.: Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments. (2023), Abdullah AlDwyish \\nShanika Karunasekera is cited by count of 3222.\\nShanika Karunasekera has a h-index of 24.\\nShanika Karunasekera has an i10Index of 63.\\nShanika Karunasekera is the creator and the author.\\nShanika Karunasekera is linked to https://scholar.google.com/citations?user=WG0tRVcAAAAJ, https://en.wikipedia.org/wiki/Shanika_Karunasekera, http://www.wikidata.org/entity/Q80745584, Q7488645 and find anexpert.unimelb.edu.au/display/person18115.\\nShanika Karunasekera is a member of the University of Melbourne.\\nShanika Karunasekera was modified on 2023-10-18.\\nShanika Karunasekera is also known as Shanika Karunasekera.\\nShanika Karunasekera has orcidId https://orcid.org/0000-0001-7080-5064.\\nShanika Karunasekera is affiliated with the University of Melbourne, School of Computing and Information Systems, Australia.\\nShanika Karunasekera is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=55925860100&partnerID=MN8TOARS.\\nShanika Karunasekera has 231 works.{'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne. Dr. Karunasekera completed her Ph.D. in Electrical Engineering from the University of Cambridge, UK in 1995. Earlier she completed her B.Sc. in Electronics and Telecommunication Engineering at the University of Moratuwa, Sri Lanka.\\\\nDr. Karunasekera was born in Sri Lanka.'}\",\n \"verbalizer_plus_evidence_matching\": \"Shanika Karunasekera has a written paper amount of 7 in year 2012.\\nShanika Karunasekera wrote 10 papers in 2014.\\nShanika Karunasekera wrote 10 papers in 2015.\\nShanika Karunasekera wrote 10 papers in 2016.\\nShanika Karunasekera has written paper amount in year 2017: 22.\\nShanika Karunasekera wrote 11 papers in 2018.\\nShanika Karunasekera has a written paper amount of 18 in year 2019.\\nShanika Karunasekera has a written paper amount of 17 in year 2022.\\nShanika A. Karunasekera and Nick G. Kingsbury are the authors of Rabindra Lamsal et al.: MegaGeoCOV Extended. (2023) and Hairuo Xie et al.: Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. (2019).\\nShanika Karunasekera is cited by count of 3222.\\nShanika Karunasekera's link is https://scholar.google.com/citations?user=WG0tRVcAAAAJ.\\nShanika Karunasekera is the author of scopus, http://www.scopus.com/inward/authorDetails.url?authorID=55925860100&partnerID=MN8TOARS. in Electrical Engineering from the University of Cambridge, UK in 1995. {'author_wikipedia_text': 'Shanika Karunasekera is a Professor in the School of Computing and Information Systems at the University of Melbourne\"\n}"}}},{"rowIdx":98,"cells":{"id":{"kind":"string","value":"9556c2d9-d761-4883-8a9a-a6a002b1a0fe"},"triples_number":{"kind":"number","value":58,"string":"58"},"question":{"kind":"string","value":"How many articles are attributed to the University of California, Irvine where the creator of 'Differential Evolution Markov Chain with snooker updater and fewer chains' works?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"15\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Jasper A. 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Vrugt affiliation University of California Irvine, USA. Holger R. Maier et al.: Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. (2014) authored by Jasper A. Vrugt. Jasper A. Vrugt member of University of California, Irvine[citation needed]\\\\nHe is Associate Editor of Water Resources Research. \\\\nVrugt has received several awards. In the same year, he was also recognized with the Outstanding Young Scientist Award from the European Geosciences Union (EGU),\",\n \"plain\": \"Jasper A. Vrugt is Author. Jasper A. Vrugt modified 2023-10-18. Jasper A. Vrugt citedByCount 17115. Jasper A. Vrugt written paper amount in year2012: 15. Jasper A. Vrugt written paper amount in year2012: 15. Jasper A. Vrugt written paper amount in year2013: 21. Jasper A. Vrugt written paper amount in year2013: 21. Jasper A. Vrugt written paper amount in year2014: 17. Jasper A. Vrugt written paper amount in year2014: 17. Jasper A. 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Vrugt name Jasper A. Vrugt. Jasper A. Vrugt member of University of California, Irvine. Jasper A. Vrugt h-index 61. Jasper A. Vrugt 2YrMeanCitedness 4.0. Jasper A. Vrugt alternativeName J. A. Vrugt. Jasper A. Vrugt alternativeName J. Vrugt. Jasper A. Vrugt alternativeName Jasper A. Vrugt. Jasper A. Vrugt alternativeName Jasper Alexander Vrugt. Jasper A. Vrugt alternativeName Jasper Vrugt. Jasper A. Vrugt i10Index 126. Jasper A. Vrugt orcidId https://orcid.org/0000-0003-2599-1165. Jasper A. Vrugt is Creator. Jasper A. Vrugt is Person. Jasper A. Vrugt link http://www.wikidata.org/entity/Q6163889. Jasper A. Vrugt affiliation University of California Irvine, USA. Jasper A. Vrugt primary affiliation University of California Irvine, USA. Jasper A. Vrugt link https://en.wikipedia.org/wiki/Jasper_A._Vrugt. Felipe de Souza et al.: Microscopic Simulation Replicates the Capacity Drop Phenomenon. (2018) authored by Jasper A. Vrugt. Frederike Vincent et al.: Forward and Inverse L-Band Radiative Transfer Modeling over the Dry Chaco, Using SMOS Observations, Land Surface Modeling and in Situ Data. (2021) authored by Jasper A. Vrugt. Erin M. Shockley et al.: PyDREAM: high-dimensional parameter inference for biological models in python. (2018) authored by Jasper A. Vrugt. Jasper A. Vrugt et al.: Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces. (2009) authored by Jasper A. Vrugt. Jasper A. Vrugt et al.: Comment on paper \\\"Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization\\\" by Wang and Li. (2010) authored by Jasper A. Vrugt. Holger R. Maier et al.: Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. (2014) authored by Jasper A. Vrugt. Cajo J. F. ter Braak and Jasper A. Vrugt: Differential Evolution Markov Chain with snooker updater and fewer chains. (2008) authored by Jasper A. Vrugt. Jasper A. Vrugt et al.: Application of parallel computing to stochastic parameter estimation in environmental models. (2006) authored by Jasper A. Vrugt. Ruan G. S. Gomes et al.: A hybrid multi-step sensitivity-driven evolutionary polynomial regression enables robust model structure selection. (2022) authored by Jasper A. Vrugt. Davood Moghadas and Jasper A. Vrugt: The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment. (2019) authored by Jasper A. Vrugt. Jasper A. Vrugt: Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation. (2016) authored by Jasper A. Vrugt. Veysel Yildiz and Jasper A. Vrugt: A toolbox for the optimal design of run-of-river hydropower plants. (2019) authored by Jasper A. Vrugt. Frederike Vincent et al.: L-Band Microwave Satellite Data and Model Simulations Over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity. (2022) authored by Jasper A. Vrugt{'author_wikipedia_text': 'Jasper A. Vrugt (born 1976) is a Dutch scientist/engineer/applied mathematician known for his work in the earth sciences: surface hydrology, soil physics, hydrogeophysics, hydrometeorology, and geophysics. Vrugt is an assistant professor at the University of California, Irvine and holds a joint appointment in the Department of Civil and Environmental Engineering and the Department of Earth System Science. He also holds a part-time appointment as associate professor at the University of Amsterdam, Faculty of Science (CGE).\\\\nVrugt has received several awards. He received the 2011 Donath Medal (Young Scientist Award) of the Geological Society of America (GSA). As recipient of this medal, Dr. Vrugt was made GSA Fellow in 2012. In 2010, he received the James B. Macelwane Medal of the American Geophysical Union (AGU) for outstanding contributions in surface hydrology, soil physics, and hydrometeorology, and was simultaneously elected AGU Fellow. In the same year, he was also recognized with the Outstanding Young Scientist Award from the European Geosciences Union (EGU),. Vrugt is the first scientist to receive all three honors: the Donath Medal (GSA), James B. Macelwane Medal (AGU) and the Outstanding Young Scientist Award (EGU).[citation needed]\\\\nHe is Associate Editor of Water Resources Research.\\\\n/'}\",\n \"verbalizer_on_all_triples\": \"Jasper A. Vrugt wrote 15 papers in 2012.\\nJasper A. Vrugt has written paper amount in year 2013: 21.\\nJasper A. Vrugt wrote 17 papers in 2014.\\nJasper A. Vrugt wrote 19 papers in 2015.\\nJasper A. Vrugt wrote 19 papers in 2016.\\nJasper A. Vrugt wrote 16 papers in 2017.\\nJasper A. Vrugt wrote 11 papers in 2018.\\nJasper A. Vrugt has a written paper amount of 8 in year 2019.\\nJasper A. Vrugt has a written paper amount of 2 in year2020.\\nJasper A. Vrugt has a written paper amount of 4 in year2021.\\nJasper A. Vrugt has a written paper amount of 8 in year 2022.\\nJasper A. Vrugt's written paper amount in year2023 is 4.\\nJasper A. Vrugt has a 2YrMeanCitedness of 4.0.\\nJasper A. Vrugt is affiliated with the University of California, Irvine, USA.\\nJasper A. Vrugt is also known as Jasper Alexander Vrugt and is also known as J. A. Vrugt.\\n\\\"Felipe de Souza et al.: Microscopic Simulation Replicates the Capacity Drop Phenomenon. (2018), Frederike Vincent et al.: L-Band Microwave Satellite Data and Model Simulations over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity. (2022), Veysel Yildiz and Jasper A. Vrugt: A toolbox for the optimal\\nJasper A. Vrugt is cited by the ByCount of 17115.\\nJasper A. Vrugt has an h-index of 61.\\nJasper A. Vrugt has an i10Index of 126.\\nJasper A. Vrugt is the creator and the author of Jasper A. Vrugt.\\nJasper A. Vrugt is linked to https://en.wikipedia.org/wiki/Jasper_A._Vrugt and http://www.wikidata.org/entity/Q6163889.\\nJasper A. Vrugt is a member of the University of California, Irvine.\\nJasper A. Vrugt was modified on 2023-10-18.\\nJasper A. Vrugt's name is Jasper A. Vrugt.\\nJasper A. Vrugt has orcidId https://orcid.org/0000-0003-2599-1165.\\nJasper A. Vrugt's primary affiliation is the University of California, Irvine, USA.\\nJasper A. Vrugt has 305 works count.{'author_wikipedia_text': 'Jasper A. Vrugt (born 1976) is a Dutch scientist/engineer/applied mathematician known for his work in the earth sciences: surface hydrology, soil physics, hydrogeophysics, hydrometeorology, and geophysics. Vrugt is an assistant professor at the University of California, Irvine and holds a joint appointment in the Department of Civil and Environmental Engineering and the Department of Earth System Science. He also holds a part-time appointment as associate professor at the University of Amsterdam, Faculty of Science (CGE).\\\\nVrugt has received several awards. He received the 2011 Donath Medal (Young Scientist Award) of the Geological Society of America (GSA). As recipient of this medal, Dr. Vrugt was made GSA Fellow in 2012. In 2010, he received the James B. Macelwane Medal of the American Geophysical Union (AGU) for outstanding contributions in surface hydrology, soil physics, and hydrometeorology, and was simultaneously elected AGU Fellow. In the same year, he was also recognized with the Outstanding Young Scientist Award from the European Geosciences Union (EGU),. Vrugt is the first scientist to receive all three honors: the Donath Medal (GSA), James B. Macelwane Medal (AGU) and the Outstanding Young Scientist Award (EGU).[citation needed]\\\\nHe is Associate Editor of Water Resources Research.\\\\n/'}\",\n \"verbalizer_plus_evidence_matching\": \"Jasper A. Vrugt is affiliated with the University of California, Irvine, USA.\\nJasper A. Vrugt: Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation. (2016), authored by Cajo J. F. ter Braak and Jasper A. Vrugt: Differential Evolution Markov Chain with snooker updater and fewer chains. (2008), authored by Holger R. Maier et al.: Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and\\nJasper A. Vrugt is a member of the University of California, Irvine.[citation needed]\\\\nHe is Associate Editor of Water Resources Research. \\\\nVrugt has received several awards. In the same year, he was also recognized with the Outstanding Young Scientist Award from the European Geosciences Union (EGU),\"\n}"}}},{"rowIdx":99,"cells":{"id":{"kind":"string","value":"ded45f10-39cc-4817-a886-7082265431af"},"triples_number":{"kind":"number","value":81,"string":"81"},"question":{"kind":"string","value":"What is the type of organization where the author of 'Maximum flows and minimum cuts in the plane' works at?"},"contexts":{"kind":"string","value":"{\n \"all_triples\": [\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2012:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"7\",\n \"predicate\": \" written paper amount in year2013:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"5\",\n \"predicate\": \" written paper amount in year2014:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"10\",\n \"predicate\": \" written paper amount in year2015:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"107\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"107\",\n \"predicate\": \" written paper amount in year2016:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2017:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2018:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2019:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"6\",\n \"predicate\": \" written paper amount in year2020:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"2\",\n \"predicate\": \" written paper amount in year2021:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2022:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"3\",\n \"predicate\": \" written paper amount in year2023:\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"0.0\",\n \"predicate\": \"2YrMeanCitedness\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"MIT, Cambridge, USA\",\n \"predicate\": \"affiliation\",\n \"subject\": \"Gilbert Strang\"\n },\n {\n \"object\": \"G. 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Gilbert Strang written paper amount in year2014: 5. Gilbert Strang written paper amount in year2015: 10. Gilbert Strang written paper amount in year2015: 10. Gilbert Strang written paper amount in year2016: 107. Gilbert Strang written paper amount in year2016: 107. Gilbert Strang written paper amount in year2017: 3. Gilbert Strang written paper amount in year2017: 3. Gilbert Strang written paper amount in year2018: 3. Gilbert Strang written paper amount in year2018: 3. Gilbert Strang written paper amount in year2019: 2. Gilbert Strang written paper amount in year2019: 2. Gilbert Strang written paper amount in year2020: 6. Gilbert Strang written paper amount in year2020: 6. Gilbert Strang written paper amount in year2021: 2. Gilbert Strang written paper amount in year2021: 2. Gilbert Strang written paper amount in year2022: 3. Gilbert Strang written paper amount in year2022: 3. Gilbert Strang written paper amount in year2023: 3. Gilbert Strang written paper amount in year2023: 3. Gilbert Strang worksCount 426. Gilbert Strang name Gilbert Strang. Gilbert Strang member of Massachusetts Institute of Technology. Gilbert Strang h-index 46. Gilbert Strang 2YrMeanCitedness 0.0. Gilbert Strang alternativeName G. S. Strang. Gilbert Strang alternativeName G. Strang. Gilbert Strang alternativeName Gilbert. Strang. Gilbert Strang i10Index 113. Gilbert Strang orcidId https://orcid.org/0000-0001-8511-7862. Gilbert Strang is Creator. Gilbert Strang is Person. Gilbert Strang link http://www.wikidata.org/entity/Q1364803. Gilbert Strang affiliation MIT, Cambridge, USA. Gilbert Strang link http://www-math.mit.edu/~gs/. Gilbert Strang primary affiliation MIT, Cambridge, USA. Gilbert Strang link http://www-math.mit.edu/~gs/. Gilbert Strang link https://mathscinet.ams.org/mathscinet/MRAuthorID/167935. Gilbert Strang link https://dl.acm.org/profile/99660342363. Gilbert Strang link https://zbmath.org/authors/?q=ai:strang.gilbert. Gilbert Strang link https://mathgenealogy.org/id.php?id=13383. Gilbert Strang link https://en.wikipedia.org/wiki/Gilbert_Strang. Xi-Qi Gao et al.: On two-channel orthogonal and symmetric complex-valued FIR filter banks and their corresponding wavelets. (2002) authored by Gilbert Strang. Gilbert Strang: One-sided approximation and plate bending. (1973) authored by Gilbert Strang. Per-Olof Persson and Gilbert Strang: A Simple Mesh Generator in MATLAB. (2004) authored by Gilbert Strang. Gilbert Strang: Wavelets and Dilation Equations: A Brief Introduction. (1989) authored by Gilbert Strang. Gilbert Strang: The Discrete Cosine Transform. (1999) authored by Gilbert Strang. Gilbert Strang and Shev MacNamara: Functions of Difference Matrices Are Toeplitz Plus Hankel. (2014) authored by Gilbert Strang. Gilbert Strang and Cleve Moler: LU and CR Elimination. (2022) authored by Gilbert Strang. Gilbert Strang and Tri Nguyen: The Interplay of Ranks of Submatrices. (2004) authored by Gilbert Strang. Alan Edelman and Gilbert Strang: Random Triangle Theory with Geometry and Applications. (2015) authored by Gilbert Strang. Peter N. Heller et al.: Multiwavelet Filter Banks for Data Compression. (1995) authored by Gilbert Strang. Chase Albert et al.: Permutations as Product of Parallel Transpositions. (2011) authored by Gilbert Strang. Xiangwei Liu et al.: Localized Eigenvectors from Widely Spaced Matrix Modifications. (2003) authored by Gilbert Strang. Xiqi Gao et al.: A study of two-channel complex-valued filterbanks and wavelets with orthogonality and symmetry properties. (2002) authored by Gilbert Strang. Gilbert Strang and Truong Q. Nguyen: Wavelets and filter banks. (1997) authored by Gilbert Strang. Gilbert Strang: Maximal flow through a domain. (1983) authored by Gilbert Strang. Gilbert Strang: Maximum flows and minimum cuts in the plane. (2010) authored by Gilbert Strang. Vasily Strela et al.: The application of multiwavelet filterbanks to image processing. (1999) authored by Gilbert Strang. Xiqi Gao et al.: Theory and lattice structure of complex paraunitary filterbanks with filters of (Hermitian-)symmetry/antisymmetry properties. (2001) authored by Gilbert Strang. Raymond L. Speth et al.: Balanced Splitting and Rebalanced Splitting. (2013) authored by Gilbert Strang. Gilbert Strang: The Victory of Orthogonality. (2020) authored by Gilbert Strang. Jianhong Shen and Gilbert Strang: The asymptotics of optimal (equiripple) filters. (1999) authored by Gilbert Strang. Gilbert Strang: Eigenvalues of (↓2)H and convergence of the cascade algorithm. (1996) authored by Gilbert Strang. Gilbert Strang and Vasily Strela: Short wavelets and matrix dilation equations. (1995) authored by Gilbert Strang. Geoff Boyd et al.: Binomial Matrices. (2001) authored by Gilbert Strang. Iddo Drori et al.: A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. (2021) authored by Gilbert Strang. Xiqi Gao et al.: On factorization of M-channel paraunitary filterbanks. (2001) authored by Gilbert Strang. Alan Edelman and Gilbert Strang: Pascal Matrices. (2004) authored by Gilbert Strang. Steven L. Lee and Gilbert Strang: Row Reduction of a Matrix and A = CaB. (2000) authored by Gilbert Strang. Gilbert Strang: Multiplying and Factoring Matrices. (2018) authored by Gilbert Strang. Michal P. Karpowicz and Gilbert Strang: The Pseudoinverse of A=CR is A+=R+C+ (?). (2023) authored by Gilbert Strang. Gilbert Strang: Elimination and Factorization. (2023) authored by Gilbert Strang. Per-Olof Persson and Gilbert Strang: Smoothing by Savitzky-Golay and Legendre Filters. (2003) authored by Gilbert Strang{'author_wikipedia_text': 'William Gilbert Strang (born November 27, 1934) is an American mathematician known for his contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. He has made many contributions to mathematics education, including publishing mathematics textbooks. Strang was the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology. He taught Linear Algebra, Computational Science, and Engineering, Learning from Data, and his lectures are freely available through MIT OpenCourseWare.\\\\nStrang was born in Chicago in 1934. His parents William and Mary Catherine Strang migrated to the USA from Scotland. He and his sister Vivian grew up in Washington DC and Cincinnati, and went to high school at Principia in St. Louis. \\\\nStrang graduated from MIT in 1955 with a Bachelor of Science in mathematics. 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He has made many contributions to mathematics education, including publishing mathematics textbooks. Strang was the MathWorks Professor of Mathematics at the Massachusetts Institute of Technology. He taught Linear Algebra, Computational Science, and Engineering, Learning from Data, and his lectures are freely available through MIT OpenCourseWare.\\\\nStrang was born in Chicago in 1934. His parents William and Mary Catherine Strang migrated to the USA from Scotland. He and his sister Vivian grew up in Washington DC and Cincinnati, and went to high school at Principia in St. Louis. \\\\nStrang graduated from MIT in 1955 with a Bachelor of Science in mathematics. He then received a Rhodes Scholarship to University of Oxford, where he received his B.A. and M.A. from Balliol College in 1957.\\\\nStrang earned his Ph.D. from UCLA in 1959 as a National Science Foundation Fellow, under the supervision of Peter K. Henrici. His dissertation was titled \\\"Difference Methods for Mixed Boundary Value Problems\\\".\\\\nWhile at Oxford, Strang met his future wife Jillian Shannon, and they married in 1958. Following his Ph.D. at UCLA, they have lived in Wellesley, Massachusetts for almost all of his 62 years on the MIT faculty. The Strangs have three sons David, John, and Robert and describe themselves as a very close-knit family. He retired on May 15, 2023 after giving his final Linear Algebra and Learning from Data lecture at MIT.\\\\nStrang\\\\'s teaching has focused on linear algebra which has helped the subject become essential for students of many majors. His linear algebra video lectures are popular on YouTube and MIT OpenCourseware. Strang founded Wellesley-Cambridge Press to publish Introduction to Linear Algebra (now in 6th edition) and ten other books.\\\\nFollowing his PhD studies, from 1959 to 1961, Strang was a C. L. E. Moore instructor at M.I.T. in the Mathematics department. 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f944e780-1e7a-48d1-b4f5-9020e461e7d2 | 424 | What is the cited by count of the institution where the writer of 'A Survey of Face Recognition Techniques' is affiliated? | {
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820a93c8-5d0c-42c6-b892-9ed3768a8216 | 160 | What is the hIndex of the author of Distributed Computing Architectures for Digital Libraries Workshop published in ICPP Workshops 2002? | {
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bbfae04e-1b32-4138-8ed0-ab2558595e89 | 229 | What is the type of the organization where the author of the paper 'Achieving Master Level Play in 9 x 9 Computer Go' is affiliated? | {
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92302fa1-a351-4a22-9588-7c5afb8c5b98 | 134 | How many publications did the author who published 'The tactical Tomahawk conundrum: designing decision support systems for revolutionary domains' in the SMC journal in 2003 create? | {
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12b3c27c-75de-4988-bf4c-143ac5818164 | 236 | What is the average two years citedness of the writer of the papers related to distortion measures for image artifacts? | {
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"subject": "Shanika Karunasekera"
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1792e7c9-e3fe-45a9-9ae1-d3b1dd238c80 | 544 | The researcher with a co-author from Duke University and creator of 'Efficient approaches for escaping higher order saddle points in non-convex optimization' paper, hIndex, is? | {
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454a5401-dd07-4158-ad81-6e4e6e725e2d | 236 | How many publications does the contributor who published the paper titled 'A distortion measure for blocking artifacts in images based on human visual sensitivity' with Nick G. Kingsbury at University of Cambridge, UK, have? | {
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9556c2d9-d761-4883-8a9a-a6a002b1a0fe | 58 | How many articles are attributed to the University of California, Irvine where the creator of 'Differential Evolution Markov Chain with snooker updater and fewer chains' works? | {
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ded45f10-39cc-4817-a886-7082265431af | 81 | What is the type of organization where the author of 'Maximum flows and minimum cuts in the plane' works at? | {
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"subject": "Gilbert Strang"
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