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list
[ "Convolutional Neural Networks for Energy Time Series Forecasting", "Deep learning with long short-term memory networks for financial market predictions", "Gradient-Based Learning Applied to Document Recognition" ]
[ "Convolutional Neural Networks for Energy Time Series Forecasting", "Improving neural networks by preventing co-adaptation of feature detectors", "Design of Built-In Tests for Active Fault Detection and Isolation of Discrete Faults" ]
[ "Convolutional Neural Networks for Energy Time Series Forecasting", "applying lstm to time series predictable through time - window approaches .", "Trading strategies to exploit blog and news sentiment" ]
[ "Convolutional Neural Networks for Energy Time Series Forecasting", "Improving neural networks by preventing co-adaptation of feature detectors", "Evaluating interval forecasts of high-frequency financial data" ]
[ "Convolutional Neural Networks for Energy Time Series Forecasting", "Adam: A Method for Stochastic Optimization", "Clinical measurement of craniovertebral angle by electronic head posture instrument: a test of reliability and validity." ]
[ "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking", "Resilience and Sustainable Development: Building Adaptive Capacity in a World of Transformations", "from transactional to iransformational leadership : learning to share the vision ." ]
[ "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking", "Adaptive governance of social-ecological systems", "Survey of Network on Chip (NoC) Architectures & Contributions" ]
[ "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking", "Adaptive governance of social-ecological systems", "A New Synonym Text Steganography" ]
[ "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking", "Adaptive governance of social-ecological systems", "FORMS: a formal reference model for self-adaptation" ]
[ "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking", "ADAPTIVE CO-MANAGEMENT FOR BUILDING RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS", "Changes in fat-free mass during significant weight loss: a systematic review" ]
[ "Analytical and Experimental Investigation of a Low Torque, Ultra-High Speed Drive System", "Design of a 100 W, 500000 rpm permanent-magnet generator for mesoscale gas turbines", "Potentials and limits of high speed PM motors" ]
[ "Analytical and Experimental Investigation of a Low Torque, Ultra-High Speed Drive System", "Design of a 100 W, 500000 rpm permanent-magnet generator for mesoscale gas turbines", "Generalizing to Unseen Domains via Adversarial Data Augmentation" ]
[ "Analytical and Experimental Investigation of a Low Torque, Ultra-High Speed Drive System", "super high speed electrical machines - summary .", "What's different about social media networks? a framework and research agenda" ]
[ "Analytical and Experimental Investigation of a Low Torque, Ultra-High Speed Drive System", "Design of a 100 W, 500000 rpm permanent-magnet generator for mesoscale gas turbines", "Fuzzy observer design for a class of Takagi-Sugeno descriptor systems" ]
[ "Analytical and Experimental Investigation of a Low Torque, Ultra-High Speed Drive System", "super high speed electrical machines - summary .", "Resistant and Recurrent Late Reaction to Hyaluronic Acid-Based Gel." ]
[ "COFGA: Classification Of Fine-Grained Features In Aerial Images", "Siamese Neural Networks for One-Shot Image Recognition", "Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting" ]
[ "COFGA: Classification Of Fine-Grained Features In Aerial Images", "Object Recognition in Aerial Images Using Convolutional Neural Networks", "Critical Infrastructure Protection: having SIEM technology cope with network heterogeneity" ]
[ "COFGA: Classification Of Fine-Grained Features In Aerial Images", "Siamese Neural Networks for One-Shot Image Recognition", "IoT based monitoring of container vehicle for secure and reliable delivery of goods" ]
[ "COFGA: Classification Of Fine-Grained Features In Aerial Images", "Deep Residual Learning for Image Recognition", "SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters" ]
[ "COFGA: Classification Of Fine-Grained Features In Aerial Images", "xView: Objects in Context in Overhead Imagery", "Bacterial Multidrug Efflux Pumps: Much More Than Antibiotic Resistance Determinants" ]
[ "semantic models for scalable search in the internet of things .", "Architectural Styles and the Design of Network-based Software Architectures", "Three Implementations of SquishQL, a Simple RDF Query Language" ]
[ "semantic models for scalable search in the internet of things .", "Architectural Styles and the Design of Network-based Software Architectures", "Template Synthesis of Gold Nanoparticles with an Organic Molecular Cage" ]
[ "semantic models for scalable search in the internet of things .", "RDFPeers: a scalable distributed RDF repository based on a structured peer-to-peer network", "An experimental study of the centipede game" ]
[ "semantic models for scalable search in the internet of things .", "Architectural Styles and the Design of Network-based Software Architectures", "A Software Framework for PCa-Based Face Recognition" ]
[ "semantic models for scalable search in the internet of things .", "Architectural Styles and the Design of Network-based Software Architectures", "A study of mild fetal pyelectasia - outcome and proposed strategy of management." ]
[ "CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution", "Super-resolution through neighbor embedding", "A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution" ]
[ "CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution", "Super-resolution through neighbor embedding", "Application of Feature Selection Methods in Educational Data Mining" ]
[ "CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution", "NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study", "Caustic ingestion" ]
[ "CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution", "Generative Adversarial Nets", "A morphological adaptation? The prevalence of enlarged external occipital protuberance in young adults" ]
[ "CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution", "Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding", "Industrie 4.0: Enabling technologies" ]
[ "Microstrip bandstop filter using spurline and defected ground structures(DGS)", "Microstrip Filters for RF/Microwave Applications [Book Review]", "Compact microstrip bandstop filter using open stub and spurline" ]
[ "Microstrip bandstop filter using spurline and defected ground structures(DGS)", "Narrow bandpass filters using dual-behavior resonators based on stepped-impedance stubs and different-length stubs", "Feedforward Neural Network Methodology" ]
[ "Microstrip bandstop filter using spurline and defected ground structures(DGS)", "Narrow bandpass filters using dual-behavior resonators based on stepped-impedance stubs and different-length stubs", "Inside packet sampling techniques: exploring modularity to enhance network measurements" ]
[ "Microstrip bandstop filter using spurline and defected ground structures(DGS)", "Microstrip Filters for RF/Microwave Applications [Book Review]", "Efficient and versatile CRISPR engineering of human neurons in culture to model neurological disorders" ]
[ "Microstrip bandstop filter using spurline and defected ground structures(DGS)", "Microstrip Filters for RF/Microwave Applications [Book Review]", "Reconstruction of Mandibular Alveolar Ridge Defects for Implant Placement: Critical Review" ]
[ "From Bayesian Sparsity to Gated Recurrent Nets", "Feedback Networks", "Learning Fast Approximations of Sparse Coding" ]
[ "From Bayesian Sparsity to Gated Recurrent Nets", "A sparse signal reconstruction perspective for source localization with sensor arrays", "Using Computer Vision In Security Applications" ]
[ "From Bayesian Sparsity to Gated Recurrent Nets", "Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems", "The stochastic CRB for array processing: a textbook derivation" ]
[ "From Bayesian Sparsity to Gated Recurrent Nets", "Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems", "TOPICS IN OPTICAL COMMUNICATIONS" ]
[ "From Bayesian Sparsity to Gated Recurrent Nets", "Regression Shrinkage and Selection Via the Lasso", "Deceiving Others: Distinct Neural Responses of the Prefrontal Cortex and Amygdala in Simple Fabrication and Deception with Social Interactions" ]
[ "When Work Matters: Transforming Classical Network Structures to Graph CNN", "Two-Stream Convolutional Networks for Action Recognition in Videos", "Multi-column Deep Neural Networks for Image Classification" ]
[ "When Work Matters: Transforming Classical Network Structures to Graph CNN", "Going deeper with convolutions", "Asynchronous Adiabatic Logic" ]
[ "When Work Matters: Transforming Classical Network Structures to Graph CNN", "Deep Convolutional Networks on Graph-Structured Data", "Deep Neural Networks Under Stress" ]
[ "When Work Matters: Transforming Classical Network Structures to Graph CNN", "Deep Convolutional Networks on Graph-Structured Data", "MatchSim: a novel similarity measure based on maximum neighborhood matching" ]
[ "When Work Matters: Transforming Classical Network Structures to Graph CNN", "Deep Convolutional Networks on Graph-Structured Data", "HERBAL PLANTS USED IN TREATMENT OF RHEUMATOID ARTHRITIS : A REVIEW" ]
[ "Recovering traceability links between code and documentation", "Design Recovery for Maintenance and Reuse", "Extended Boolean information retrieval" ]
[ "Recovering traceability links between code and documentation", "Design Recovery for Maintenance and Reuse", "Analyzing and predicting not-answered questions in community-based question answering services" ]
[ "Recovering traceability links between code and documentation", "Term-weighting approaches in automatic text retrieval", "Low-Voltage Bulk-Driven Operational Amplifier With Improved Transconductance" ]
[ "Recovering traceability links between code and documentation", "Software reuse through information retrieval", "The molecular neurobiology of depression" ]
[ "Recovering traceability links between code and documentation", "Term-weighting approaches in automatic text retrieval", "Mathematical modelling and simulation of pop-up books" ]
[ "CoBaFi: collaborative bayesian filtering", "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo", "PyMC: Bayesian stochastic modelling in Python" ]
[ "CoBaFi: collaborative bayesian filtering", "Matrix Factorization Techniques for Recommender Systems", "Analyzing Gene Expression Time-Courses" ]
[ "CoBaFi: collaborative bayesian filtering", "Collaborative competitive filtering: learning recommender using context of user choice", "An anthropometric data bank for the Iranian working population with ethnic diversity." ]
[ "CoBaFi: collaborative bayesian filtering", "Collaborative competitive filtering: learning recommender using context of user choice", "Experimental validation of energy consumption model for the four-wheeled omnidirectional Mecanum robots for energy-optimal motion control" ]
[ "CoBaFi: collaborative bayesian filtering", "Collaborative competitive filtering: learning recommender using context of user choice", "Thirty Years of Inventory Routing" ]
[ "Video Game Addiction Test: Validity and Psychometric Characteristics", "Adolescent Internet Use: What We Expect, What Teens Report.", "Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews" ]
[ "Video Game Addiction Test: Validity and Psychometric Characteristics", "The Psychometric Properties of the Internet Addiction Test", "Multi-oriented scene text detection in video based on wavelet and angle projection boundary growing" ]
[ "Video Game Addiction Test: Validity and Psychometric Characteristics", "An effect size primer: A guide for clinicians and researchers.", "Computational sociocultural models used for forecasting | 269 10 Computational sociocultural models used for forecasting 1" ]
[ "Video Game Addiction Test: Validity and Psychometric Characteristics", "Adolescent Internet Use: What We Expect, What Teens Report.", "hyperdoc2vec: Distributed Representations of Hypertext Documents" ]
[ "Video Game Addiction Test: Validity and Psychometric Characteristics", "Online Gaming Addiction: The Role of Sensation Seeking, Self-Control, Neuroticism, Aggression, State Anxiety, and Trait Anxiety", "A Formal Game for Eliciting Story Structure from Authors" ]
[ "Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis", "Neural Networks and Intellect: Using Model-Based Concepts", "Metaphors We Live by" ]
[ "Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis", "concurrent multi - target localization , data association , and navigation for a swarm of flying sensors .", "Graphical Models for Game Theory" ]
[ "Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis", "concurrent multi - target localization , data association , and navigation for a swarm of flying sensors .", "ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition" ]
[ "Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis", "concurrent multi - target localization , data association , and navigation for a swarm of flying sensors .", "Biosorption mechanism of nine different heavy metals onto biomatrix from rice husk." ]
[ "Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis", "Neural Networks and Intellect: Using Model-Based Concepts", "Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics" ]
[ "Partially Observable Markov Decision Process for Recommender Systems", "The MovieLens Datasets: History and Context", "COFI RANK Maximum Margin Matrix Factorization for Collaborative Ranking" ]
[ "Partially Observable Markov Decision Process for Recommender Systems", "Content-Boosted Collaborative Filtering for Improved Recommendations", "A novel algorithm for calculating the QR decomposition of a polynomial matrix" ]
[ "Partially Observable Markov Decision Process for Recommender Systems", "Deep Recurrent Q-Learning for Partially Observable MDPs", "HR Roles Effectiveness and HR Contributions Effectiveness: Comparing Evidence from HR and Line Managers" ]
[ "Partially Observable Markov Decision Process for Recommender Systems", "Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions", "Lattice Boltzmann Method for Fluid Simulations" ]
[ "Partially Observable Markov Decision Process for Recommender Systems", "Probabilistic Matrix Factorization", "interacting with recommenders - overview and research directions ." ]
[ "Research on Credit Card Fraud Detection Model Based on Distance Sum", "A unifying framework for detecting outliers and change points from non-stationary time series data", "Activity monitoring: noticing interesting changes in behavior" ]
[ "Research on Credit Card Fraud Detection Model Based on Distance Sum", "A unifying framework for detecting outliers and change points from non-stationary time series data", "SHAPE MANIFOLDS, PROCRUSTEAN METRICS, AND COMPLEX PROJECTIVE SPACES" ]
[ "Research on Credit Card Fraud Detection Model Based on Distance Sum", "Distance-based outliers: algorithms and applications", "Energy-aware scheduling scheme using workload-aware consolidation technique in cloud data centres" ]
[ "Research on Credit Card Fraud Detection Model Based on Distance Sum", "A unifying framework for detecting outliers and change points from non-stationary time series data", "Feedforward Neural Network Methodology" ]
[ "Research on Credit Card Fraud Detection Model Based on Distance Sum", "A unifying framework for detecting outliers and change points from non-stationary time series data", "Monocular vision-based obstacle detection/avoidance for unmanned aerial vehicles" ]
[ "AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone", "Copker: Computing with Private Keys without RAM", "Authentication Control Point and Its Implications For Secure Processor Design" ]
[ "AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone", "Efficient Cache Attacks on AES, and Countermeasures", "Detection and Discrimination of Herpes Simplex Viruses, Haemophilus ducreyi, Treponema pallidum, and Calymmatobacterium (Klebsiella) granulomatis from Genital Ulcers" ]
[ "AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone", "Distinctive Image Features from Scale-Invariant Keypoints", "Social media marketing: literature review and future research directions" ]
[ "AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone", "Efficient Cache Attacks on AES, and Countermeasures", "Smart Factories – Self-Organizing Production Units" ]
[ "AdAttester: Secure Online Mobile Advertisement Attestation Using TrustZone", "Building trusted path on untrusted device drivers for mobile devices", "Application of artificial intelligence to accounting, tax, and audit services: Research at Brigham Young University" ]
[ "Aspect-oriented modeling of attacks in automotive Cyber-Physical Systems", "Secure Control: Towards Survivable Cyber-Physical Systems", "Cyber security risk assessment for SCADA and DCS networks" ]
[ "Aspect-oriented modeling of attacks in automotive Cyber-Physical Systems", "On the security of public key protocols", "Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement" ]
[ "Aspect-oriented modeling of attacks in automotive Cyber-Physical Systems", "Cyber Physical Systems: Design Challenges", "Extraction of Historical Events from Wikipedia" ]
[ "Aspect-oriented modeling of attacks in automotive Cyber-Physical Systems", "Attacks against process control systems: risk assessment, detection, and response", "Internet of Things for Smart Cities" ]
[ "Aspect-oriented modeling of attacks in automotive Cyber-Physical Systems", "basic concepts and taxonomy of dependable and secure computing .", "Proof of Work Without All the Work" ]
[ "A Non-Parametric Bayesian Method for Inferring Hidden Causes", "Infinite latent feature models and the Indian buffet process", "Parametric mixture models for multi-labeled text" ]
[ "A Non-Parametric Bayesian Method for Inferring Hidden Causes", "Markov Chain Sampling Methods for Dirichlet Process Mixture Models", "Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding" ]
[ "A Non-Parametric Bayesian Method for Inferring Hidden Causes", "Infinite latent feature models and the Indian buffet process", "[Abdominal pain in children]." ]
[ "A Non-Parametric Bayesian Method for Inferring Hidden Causes", "Infinite latent feature models and the Indian buffet process", "Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations" ]
[ "A Non-Parametric Bayesian Method for Inferring Hidden Causes", "Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base. I. The probabilistic model and inference algorithms.", "Low-Voltage Bulk-Driven Operational Amplifier With Improved Transconductance" ]
[ "The most dangerous code in the browser", "Protecting users by confining JavaScript with COWL", "All Your IFCException Are Belong to Us" ]
[ "The most dangerous code in the browser", "Verified Security for Browser Extensions", "Two-Way Acknowledgment-Based Trust Framework for Wireless Sensor Networks" ]
[ "The most dangerous code in the browser", "Protecting users by confining JavaScript with COWL", "Two-Phase Malicious Web Page Detection Scheme Using Misuse and Anomaly Detection" ]
[ "The most dangerous code in the browser", "Preventing Privilege Escalation", "Performance Analysis of Sensing-Based Semi-Persistent Scheduling in C-V2X Networks" ]
[ "The most dangerous code in the browser", "Ad Injection at Scale: Assessing Deceptive Advertisement Modifications", "HDTrans: an open source, low-level dynamic instrumentation system" ]
[ "Redroid: A Regression Test Selection Approach for Android Applications", "EvoDroid: segmented evolutionary testing of Android apps", "Automated Whitebox Fuzz Testing" ]
[ "Redroid: A Regression Test Selection Approach for Android Applications", "Dynodroid: an input generation system for Android apps", "Ultrasound quantitation of respiratory organ motion in the upper abdomen." ]
[ "Redroid: A Regression Test Selection Approach for Android Applications", "Semantics guided regression test cost reduction", "Virtual Taste and Smell Technologies for Multisensory Internet and Virtual Reality" ]
[ "Redroid: A Regression Test Selection Approach for Android Applications", "Scaling regression testing to large software systems", "Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network" ]
[ "Redroid: A Regression Test Selection Approach for Android Applications", "EvoDroid: segmented evolutionary testing of Android apps", "Sparse Semantic Hashing for Efficient Large Scale Similarity Search" ]