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scidocs

_id stringlengths 40 40	title stringlengths 8 300	text stringlengths 0 10k
632589828c8b9fca2c3a59e97451fde8fa7d188d	A hybrid of genetic algorithm and particle swarm optimization for recurrent network design	An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid of genetic algorithm (GA) and particle swarm optimization (PSO), and is thus called HGAPSO....
86e87db2dab958f1bd5877dc7d5b8105d6e31e46	A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function	Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to operate an electric power system most economically while the system is operating wit...
2a047d8c4c2a4825e0f0305294e7da14f8de6fd3	Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases	It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And...
506172b0e0dd4269bdcfe96dda9ea9d8602bbfb6	A modified particle swarm optimizer	In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer.
51317b6082322a96b4570818b7a5ec8b2e330f2f	Identification and control of dynamic systems using recurrent fuzzy neural networks	This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using dynamic fuzzy rules. Temporal relations are embedded in the network by adding feedbac...
857a8c6c46b0a85ed6019f5830294872f2f1dcf5	Separate face and body selectivity on the fusiform gyrus.	Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.125 x 3.125 x 4.0 mm) and high resolution (1.4 x 1.4 x 2.0 mm...
12f107016fd3d062dff88a00d6b0f5f81f00522d	Scheduling for Reduced CPU Energy	The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for reducing the energy used by the cpu. W...
1ae0ac5e13134df7a0d670fc08c2b404f1e3803c	A data mining approach for location prediction in mobile environments	Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Personal Communication Systems network. In the first phase of our threephase a...
7d3c9c4064b588d5d8c7c0cb398118aac239c71b	$\mathsf {pSCAN}$ : Fast and Exact Structural Graph Clustering	We study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given an undirected unweighted graph, structural graph clustering is to assign vertices to clusters, and to identify the sets of hub vertices and outlier vertices as well, such that vertices in the same clus...
305c45fb798afdad9e6d34505b4195fa37c2ee4f	Synthesis, properties, and applications of iron nanoparticles.	Iron, the most ubiquitous of the transition metals and the fourth most plentiful element in the Earth's crust, is the structural backbone of our modern infrastructure. It is therefore ironic that as a nanoparticle, iron has been somewhat neglected in favor of its own oxides, as well as other metals such as cobalt, nick...
9f234867df1f335a76ea07933e4ae1bd34eeb48a	Automatic Machine Translation Evaluation: A Qualitative Approach	ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tdx.cat) i a través del Dipòsit Digital de la UB (diposit.ub.edu) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a us...
5ebfcd50c56e51aada28ccecd041db5e002f5862	Gualzru's Path to the Advertisement World	This paper describes the genesis of Gualzru, a robot commissioned by a large Spanish technological company to provide advertisement services in open public spaces. Gualzru has to stand by at an interactive panel observing the people passing by and, at some point, select a promising candidate and approach her to initiat...
73a7144e072356b5c9512bd4a87b22457d33760c	Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions	Treatment effects can be estimated from observational data as the difference in potential outcomes. In this paper, we address the challenge of estimating the potential outcome when treatment-dose levels can vary continuously over time. Further, the outcome variable may not be measured at a regular frequency. Our propos...
c2aa3c7fd59a43c949844e98569429261dba36e6	Planar Helical Antenna of Circular Polarization	A planar helical antenna is presented for achieving wideband end-fire radiation of circular polarization while maintaining a very low profile. The helix is formed using printed strips with straight-edge connections implemented by plated viaholes. The currents flowing on the strips and along via-holes of the helix contr...
befdf0eb1a3d2e0d404e7fbdb43438be7ae607e5	Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods.	Context Common concerns when using low-calorie diets as a treatment for obesity are the reduction in fat-free mass, mostly muscular mass, that occurs together with the fat mass (FM) loss, and determining the best methodologies to evaluate body composition changes. Objective This study aimed to evaluate the very-low-c...
506d4ca228f81715946ed1ad8d9205fad20fddfe	Measuring pictorial balance perception at first glance using Japanese calligraphy	According to art theory, pictorial balance acts to unify picture elements into a cohesive composition. For asymmetrical compositions, balancing elements is thought to be similar to balancing mechanical weights in a framework of symmetry axes. Assessment of preference for balance (APB), based on the symmetry-axes framew...
772205182fbb6ad842df4a6cd937741145eeece0	Smoking and cervical cancer: pooled analysis of the IARC multi-centric case–control study	Background: Smoking has long been suspected to be a risk factor for cervical cancer. However, not all previous studies have properly controlled for the effect of human papillomavirus (HPV) infection, which has now been established as a virtually necessary cause of cervical cancer. To evaluate the role of smoking as a c...
d2018e51b772aba852e54ccc0ba7f0b7c2792115	Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System	This paper analyzes the main challenges associated with noninvasive, continuous, wearable, and long-term breathing monitoring. The characteristics of an acoustic breathing signal from a miniature sensor are studied in the presence of sources of noise and interference artifacts that affect the signal. Based on these res...
cc76f5d348ab6c3a20ab4adb285fc1ad96d3c009	Speech-driven 3 D Facial Animation with Implicit Emotional Awareness : A Deep Learning Approach	We introduce a long short-term memory recurrent neural network (LSTM-RNN) approach for real-time facial animation, which automatically estimates head rotation and facial action unit activations of a speaker from just her speech. Specifically, the time-varying contextual non-linear mapping between audio stream and visua...
1b2a0e8af5c1f18e47e71244973ce4ace4ac6034	Compressed Nonparametric Language Modelling	Hierarchical Pitman-Yor Process priors are compelling methods for learning language models, outperforming point-estimate based methods. However, these models remain unpopular due to computational and statistical inference issues, such as memory and time usage, as well as poor mixing of sampler. In this work we propose ...
c9d41f115eae5e03c5ed45c663d9435cb66ec942	Dissecting and Reassembling Color Correction Algorithms for Image Stitching	This paper introduces a new compositional framework for classifying color correction methods according to their two main computational units. The framework was used to dissect fifteen among the best color correction algorithms and the computational units so derived, with the addition of four new units specifically desi...
b579366db457216b0548220bf369ab9eb183a0cc	An analysis on the significance of ticket analytics and defect analysis from software quality perspective	Software even though intangible should undergo evolution to fit into the ever changing real world scenarios. Each issue faced by the development and service team directly reflects in the quality of the software product. According to the related work, very few research is going on in the field of ticket and its related ...
f69253e97f487b9d77b72553a9115fc814e3ed51	Clickbait Convolutional Neural Network	With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisfies users because the article content does not match their expectation. Thus, clickbait detection has attracted more and more attention recently. Traditional clickbait-detection methods rely on heavy feature engineering ...
6c9bd4bd7e30470e069f8600dadb4fd6d2de6bc1	A Database of Narrative Schemas	This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publish), a temporal ordering of the events (edit before publish), and the semantic roles of the participants (authors publish books). This type o...
a72daf1fc4b1fc16d3c8a2e33f9aac6e17461d9a	User-Oriented Context Suggestion	Recommender systems have been used in many domains to assist users' decision making by providing item recommendations and thereby reducing information overload. Context-aware recommender systems go further, incorporating the variability of users' preferences across contexts, and suggesting items that are appropriate in...
585da6b6355f3536e1b12b30ef4c3ea54b955f2d	Brand followers' retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth	Twitter, the popular microblogging site, has received increasing attention as a unique communication tool that facilitates electronic word-of-mouth (eWOM). To gain greater insight into this potential, this study investigates how consumers’ relationships with brands influence their engagement in retweeting brand message...
d18cc66f7f87e041dec544a0b843496085ab54e1	Memory, navigation and theta rhythm in the hippocampal-entorhinal system	Theories on the functions of the hippocampal system are based largely on two fundamental discoveries: the amnestic consequences of removing the hippocampus and associated structures in the famous patient H.M. and the observation that spiking activity of hippocampal neurons is associated with the spatial position of the...
22fc3af1fb55d48f3c03cd96f277503e92541c60	Predictive Control of Power Converters: Designs With Guaranteed Performance	In this work, a cost function design based on Lyapunov stability concepts for finite control set model predictive control is proposed. This predictive controller design allows one to characterize the performance of the controlled converter, while providing sufficient conditions for local stability for a class of power ...
4114c89bec92ebde7c20d12d0303281983ed1df8	Design and Implementation of a Fast Dynamic Packet Filter	This paper presents Swift, a packet filter for high-performance packet capture on commercial off-the-shelf hardware. The key features of the Swift include: 1) extremely lowfilter update latency for dynamic packet filtering, and 2) gigabits-per-second high-speed packet processing. Based on complex instruction set comput...
8e508720cdb495b7821bf6e43c740eeb5f3a444a	Learning Scalable Deep Kernels with Recurrent Structure	Many applications in speech, robotics, finance, and biology deal with sequential data, where ordering matters and recurrent structures are common. However, this structure cannot be easily captured by standard kernel functions. To model such structure, we propose expressive closed-form kernel functions for Gaussian proc...
110599f48c30251aba60f68b8484a7b0307bcb87	SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter	This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analysis of figurative language on Twitter (Task 11). This is the first sentiment analysis task wholly dedicated to analyzing figurative language on Twitter. Specifically, three broad classes of figurative language are consid...
4b53f660eb6cfe9180f9e609ad94df8606724a3d	Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment	In this paper a novel approach is proposed to predict intraday directional-movements of a currency-pair in the foreign exchange market based on the text of breaking financial news-headlines. The motivation behind this work is twofold: First, although market-prediction through text-mining is shown to be a promising area...
7f90ef42f22d4f9b86d33b0ad7f16261273c8612	BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network	a r t i c l e i n f o a b s t r a c t We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the integration of lexicographic and encyclopedic knowledge from WordNet and Wikipedia. In addition, Machine Translation is applied to...
033b62167e7358c429738092109311af696e9137	Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews	This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive seman...
105a0b3826710356e218685f87b20fe39c64c706	Opinion observer: analyzing and comparing opinions on the Web	The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, it proposes a novel f...
9ea16bc34448ca9d713f4501f1a6215a26746372	A survey of software testing practices in alberta	Software organizations have typically de-emphasized the importance of software testing. In this paper, the results of a regional survey of software testing and software quality assurance techniques are described. Researchers conducted the study during the summer and fall of 2002 by surveying software organizations in t...
746cafc676374114198c414d6426ec2f50e0ff80	Analysis and Design of Average Current Mode Control Using a Describing-Function-Based Equivalent Circuit Model	This paper proposes a small-signal model for average current mode control based on an equivalent circuit. The model uses a three-terminal equivalent circuit model based on a linearized describing function method to include the feedback effect of the sideband frequency components of the inductor current. The model exten...
2b337d6a72c8c2b1d97097dc24ec0e9a8d4c2186	Using deep learning for short text understanding	Classifying short texts to one category or clustering semantically related texts is challenging, and the importance of both is growing due to the rise of microblogging platforms, digital news feeds, and the like. We can accomplish this classifying and clustering with the help of a deep neural network which produces com...
1d53a898850b8d055db80ba99c59c89b080dfc4c	MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation	Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and their applications in the Operating Room (OR), we release the Multi-View Operating Room (MVOR) dataset, the first public dataset recorded duri...
954d0346b5cdf3f1ec0fcc74ae5aadc5b733adc0	Beyond engagement analytics: which online mixed-data factors predict student learning outcomes?	This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning enga...
483b94374944293d2a6d36cc1c97f0544ce3c79c	Which Hotel attributes Matter ? A review of previous and a framework for future research	A lot of effort has been made in the last decades to reveal, which hotel attributes guest care about. Due to the high costs that are typically involved with investments in the hotel industry, it makes a lot of sense to study, which product components the travellers appreciate. This study reveals that hotel attribute re...
54c377407242e74e7c08e4a49e61837fd9ce2b25	On Power Quality of Variable-Speed Constant-Frequency Aircraft Electric Power Systems	In this paper, a comprehensive model of the variable-speed constant-frequency aircraft electric power system is developed to study the performance characteristics of the system and, in particular, the system power quality over a frequency range of operation of 400 Hz to 800 Hz. A fully controlled active power filter is...
9d1940f843c448cc378214ff6bad3c1279b1911a	Shape-aware Instance Segmentation	We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxes, and directly predict a binary mask within each such proposal....
4d0130e95925b00a2d1ecba931a1a05a74370f3f	RT-Mover: a rough terrain mobile robot with a simple leg-wheel hybrid mechanism	There is a strong demand in many fields for practical robots, such as a porter robot and a personal mobility robot, that can move over rough terrain while carrying a load horizontally. We have developed a robot, called RT-Mover, which shows adequate mobility performance on targeted types of rough terrain. It has four d...
0651f838d918586ec1df66450c3d324602c9f59e	Privacy attacks in social media using photo tagging networks: a case study with Facebook	Social-networking users unknowingly reveal certain kinds of personal information that malicious attackers could profit from to perpetrate significant privacy breaches. This paper quantitatively demonstrates how the simple act of tagging pictures on the social-networking site of Facebook could reveal private user attrib...
4c9774c5e57a4b7535eb19f6584f75c8b9c2cdcc	A framework based on RSA and AES encryption algorithms for cloud computing services	Cloud computing is an emerging computing model in which resources of the computing communications are provided as services over the Internet. Privacy and security of cloud storage services are very important and become a challenge in cloud computing due to loss of control over data and its dependence on the cloud compu...
e645cbd3aaeab56858f1e752677b8792d7377d14	BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations	The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using wordlevel sentiment annotations. From OntoSenseNet, we extracted 11,000 adjectives, 253 adverbs, 8483 verbs and sentiment annotation is being done by language experts. We ...
40f5430ef326838d5b7ce018f62e51c188d7cdd7	Effects of quiz-style information presentation on user understanding	This paper proposes quiz-style information presentation for interactive systems as a means to improve user understanding in educational tasks. Since the nature of quizzes can highly motivate users to stay voluntarily engaged in the interaction and keep their attention on receiving information, it is expected that infor...
24bbff699187ad6bf37e447627de1ca25267a770	Research on continuous auditing: A bibliometric analysis	This paper presents the results of a bibliometric study about the evolution of research on Continuous Auditing. This study has as main motivation to find reasons for the very slow evolvement of research on this topic. In addition, Continuous Auditing is one of the features of the emerging concept of Continuous Assuranc...
abd0478f1572d8ecdca4738df3e4b3bd116d7b42	Dispositional Factors in Internet Use: Personality Versus Cognitive Style	This study directly tests the effect of personality and cognitive style on three measures of Internet use. The results support the use of personality—but not cognitive style—as an antecedent variable. After controlling for computer anxiety, selfefficacy, and gender, including the “Big Five” personality factors in the a...
a64f48f9810c4788236f31dc2a9b87dd02977c3e	Voice quality evaluation of recent open source codecs	• Averaged frequency responses at different 16, and 24 kHz. External sampling rate does not tell the internal sampling rate. • Supported signal bandwidth depends on bitrate, but no documentation exists bandwidths were found out expirementally • We tested 32kHz sampling with 16ms frame length. There is also 8 ms lookahe...
76eea8436996c7e9c8f7ad3dac34a12865edab24	Chain Replication for Supporting High Throughput and Availability	Chain replication is a new approach to coordinating clusters of fail-stop storage servers. The approach is intended for supporting large-scale storage services that exhibit high throughput and availability without sacrificing strong consistency guarantees. Besides outlining the chain replication protocols themselves, s...
522a7178e501018e442c03f4b93e29f62ae1eb64	Deep Voice 2 : Multi-Speaker Neural Text-to-Speech	We introduce a technique for augmenting neural text-to-speech (TTS) with lowdimensional trainable speaker embeddings to generate different voices from a single model. As a starting point, we show improvements over the two state-ofthe-art approaches for single-speaker neural TTS: Deep Voice 1 and Tacotron. We introduce ...
ccbcaf528a222d04f40fd03b3cb89d5f78acbdc6	A Literature Review on Kidney Disease Prediction using Data Mining Classification Technique	-The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. The Healthcare industry is generally “info...
30f46fdfe1fdab60bdecaa27aaa94526dfd87ac1	Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera	We propose a method which can perform real-time 3D reconstruction from a single hand-held event camera with no additional sensing, and works in unstructured scenes of which it has no prior knowledge. It is based on three decoupled probabilistic filters, each estimating 6-DoF camera motion, scene logarithmic (log) inten...
892fea843d58852a835f38087bc3b5102123f567	Multiple ramp schemes	A (t; k; n; S) ramp scheme is a protocol to distribute a secret s chosen inS among a setP of n participants in such a way that: 1) sets of participants of cardinality greater than or equal to k can reconstruct the secrets; 2) sets of participants of cardinality less than or equal tot have no information on s, whereas 3...
ce148df015fc488ac6fc022dac3da53c141e0ea8	Protein function in precision medicine: deep understanding with machine learning.	Precision medicine and personalized health efforts propose leveraging complex molecular, medical and family history, along with other types of personal data toward better life. We argue that this ambitious objective will require advanced and specialized machine learning solutions. Simply skimming some low-hanging resul...
38d34b02820020aac7f060e84bb6c01b4dee665a	The impact of design management and process management on quality : an empirical investigation	Ž . Design management and process management are two important elements of total quality management TQM implementation. They are drastically different in their targets of improvement, visibility, and techniques. In this paper, we establish a framework for identifying the synergistic linkages of design and process manag...
b09b43cacd45fd922f7f85b1f8514cb4a775ca5d	A Web Service Discovery Approach Based on Common Topic Groups Extraction	Web services have attracted much attention from distributed application designers and developers because of their roles in abstraction and interoperability among heterogeneous software systems, and a growing number of distributed software applications have been published as Web services on the Internet. Faced with the ...
c108437a57bd8f8eaed9e26360ee100074e3f3fc	Computational Capabilities of Graph Neural Networks	In this paper, we will consider the approximation properties of a recently introduced neural network model called graph neural network (GNN), which can be used to process-structured data inputs, e.g., acyclic graphs, cyclic graphs, and directed or undirected graphs. This class of neural networks implements a function t...
28d3ec156472c35ea8e1b7acad969b725111fe56	Hipikat: a project memory for software development	Sociological and technical difficulties, such as a lack of informal encounters, can make it difficult for new members of noncollocated software development teams to learn from their more experienced colleagues. To address this situation, we have developed a tool, named Hipikat that provides developers with efficient an...
334c4806912d851ef2117e67728cfa624dbec9a3	A Metrics Suite for Object Oriented Design	Given the central role that software development plays in the delivery and application of information technology, managers are increasingly focusing on process improvement in the software development area. This demand has spurred the provision of a number of new and/or improved approaches to software development, with ...
383ca85aaca9f306ea7ae04fb0b6b76f1e393395	Two case studies of open source software development: Apache and Mozilla	According to its proponents, open source style software development has the capacity to compete successfully, and perhaps in many cases displace, traditional commercial development methods. In order to begin investigating such claims, we examine data from two major open source projects, the Apache web server and the Mo...
3ea9cd35f39e8c128f39f13148e91466715f4ee2	A File Comparison Program	A file comparison program produces a list of differences between two files. These differences can be couched in terms of lines, e.g. by telling which lines must be inserted, deleted or moved to convert the first file to the second. Alternatively, the list of differences can identify individual bytes. Byte-oriented comp...
508119a50e3d4e8b7116c1b56a002de492b2270b	Object Detection Featuring 3D Audio Localization for Microsoft HoloLens - A Deep Learning based Sensor Substitution Approach for the Blind	Finding basic objects on a daily basis is a difficult but common task for blind people. This paper demonstrates the implementation of a wearable, deep learning backed, object detection approach in the context of visual impairment or blindness. The prototype aims to substitute the impaired eye of the user and replace it...
c0a39b1b64100b929ec77d33232513ec72089a2e	English as a Formal Specification Language	PENG is a computer-processable controlled natural language designed for writing unambiguous and precise specifications. PENG covers a strict subset of standard English and is precisely defined by a controlled grammar and a controlled lexicon. In contrast to other controlled languages, the author does not need to know t...
f9cf246008d745f883914d925567bb36df806613	Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators	Airborne wind energy systems aim to harvest the power of winds blowing at altitudes higher than what conventional wind turbines reach. They employ a tethered flying structure, usually a wing, and exploit the aerodynamic lift to produce electrical power. In the case of ground-based systems, where the traction force on t...
53c544145d2fe5fe8c44584f44f36f74393b983e	Simulation of object and human skin formations in a grasping task	This paper addresses the problem of simulating deformations between objects and the hand of a synthetic character during a grasping process. A numerical method based on finite element theory allows us to take into account the active forces of the fingers on the object and the reactive forces of the object on the finger...
0eaa75861d9e17f2c95bd3f80f48db95bf68a50c	Electromigration and its impact on physical design in future technologies	Electromigration (EM) is one of the key concerns going forward for interconnect reliability in integrated circuit (IC) design. Although analog designers have been aware of the EM problem for some time, digital circuits are also being affected now. This talk addresses basic design issues and their effects on electromigr...
24ff5027e7042aeead47ef3071f1a023243078bb	Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence	It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to the scarce network resource and limited coverage areas. To complement the terrestrial connection, especially for users in rural, disasterstricken, or o...
2c6835e8bdb8c70a9c3aa9bd2578b01dd1b93114	RY-ON WITH CLOTHING REGION	We propose a virtual try-on method based on generative adversarial networks (GANs). By considering clothing regions, this method enables us to reflect the pattern of clothes better than Conditional Analogy GAN (CAGAN), an existing virtual try-on method based on GANs. Our method first obtains the clothing region on a pe...
38a70884a93dd6912404519a779cc497965feff1	Stereotypes of individuals with learning disabilities: views of college students with and without learning disabilities.	To explore possible reasons for low self-identification rates among undergraduates with learning disabilities (LD), we asked students (38 with LD, 100 without LD) attending two large, public, research-intensive universities to respond to a questionnaire designed to assess stereotypes about individuals with LD and conce...
cc6dc5a3e8a18a0aaab7cbe8cee22bf3ac92f0bf	Concurrency control methods in distributed database: A review and comparison	In the last years, remarkable improvements have been made in the ability of distributed database systems performance. A distributed database is composed of some sites which are connected to each other through network connections. In this system, if good harmonization isn't made between different transactions, it may re...
45e2e2a327ea696411b212492b053fd328963cc3	Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status	BACKGROUND Mobile apps hold promise for serving as a lifestyle intervention in public health to promote wellness and attenuate chronic conditions, yet little is known about how individuals with chronic illness use or perceive mobile apps. OBJECTIVE The objective of this study was to explore behaviors and perceptions ...
71795f9f511f6948dd67aff7e9725c08ff1a4c94	Hadoop+Aparapi: Making heterogenous MapReduce programming easier	Lately, programmers have started to take advantage of GPU capabilities of cloud-based machines. Using the GPUs can decrease the number of nodes required to perform the computation by increasing the productivity per node. We combine Hadoop, a widely-used MapReduce framework, with Aparapi, a new Java-to-OpenCL conversion...
8cfb12304856268ee438ccb16e4b87960c7349e0	A Review on Internet of Things (IoT)	Internet, a revolutionary invention, is always transforming into some new kind of hardware and software making it unavoidable for anyone. The form of communication that we see now is either human-human or human-device, but the Internet of Things (IoT) promises a great future for the internet where the type of communica...
a39faa00248abb3984317f2d6830f485cb5e1a0d	of Analytical Chemistry Wearable and Implantable Sensors for Biomedical Applications Hatice	Mobile health technologies offer great promise for reducing healthcare costs and improving patient care. Wearable and implantable technologies are contributing to a transformation in the mobile health era in terms of improving healthcare and health outcomes and providing real-time guidance on improved health management...
e749e6311e25eb8081672742e78c427ce5979552	Effective application of process improvement patterns to business processes	Improving the operational effectiveness and efficiency of processes is a fundamental task of business process management (BPM). There exist many proposals of process improvement patterns (PIPs) as practices that aim at supporting this goal. Selecting and implementing relevant PIPs are therefore an important prerequisit...
d5ecb372f6cbdfb52588fbb4a54be21d510009d0	A Study of Birth Order , Academic Performance , and Personality	This study aimed to investigate birth order effect on personality and academic performance amongst 120 Malaysians. Besides, it also aimed to examine the relationship between personality and academic achievement. Thirty firstborns, 30 middle children, 30 lastborns, and 30 only children, who shared the mean age of 20.0 y...
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Dataset Card for BEIR Benchmark

scidocs is one of the datasets from the Citation Prediction task within BEIR, measuring cited scientific article retrieval for a given scientific title.

Dataset Summary

BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks.

Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS, Robust04
Argument Retrieval: Touche-2020, ArguAna
Duplicate Question Retrieval: Quora, CqaDupstack
Citation-Prediction: SCIDOCS
Tweet Retrieval: Signal-1M
Entity Retrieval: DBPedia

Languages

All tasks are in English (en).

Dataset Structure

This dataset uses the standard BEIR retrieval layout and includes:

corpus: one row per document with _id, title, text
queries: one row per query with _id, title, text

Data Fields

_id (string): unique identifier
title (string): title (empty string when unavailable)
text (string): document/query text

Data Instances

A high level example of any BEIR dataset:

corpus = {
    "doc1" : {
        "title": "Albert Einstein",
        "text": "Albert Einstein was a German-born theoretical physicist. who developed the theory of relativity, \
                 one of the two pillars of modern physics (alongside quantum mechanics). His work is also known for \
                 its influence on the philosophy of science. He is best known to the general public for his massâ€“energy \
                 equivalence formula E = mc2, which has been dubbed 'the world's most famous equation'. He received the 1921 \
                 Nobel Prize in Physics 'for his services to theoretical physics, and especially for his discovery of the law \
                 of the photoelectric effect', a pivotal step in the development of quantum theory."
        },
    "doc2" : {
        "title": "", # Keep title an empty string if not present
        "text": "Wheat beer is a top-fermented beer which is brewed with a large proportion of wheat relative to the amount of \
                 malted barley. The two main varieties are German WeiÃŸbier and Belgian witbier; other types include Lambic (made\
                 with wild yeast), Berliner Weisse (a cloudy, sour beer), and Gose (a sour, salty beer)."
    },
}

queries = {
    "q1" : "Who developed the mass-energy equivalence formula?",
    "q2" : "Which beer is brewed with a large proportion of wheat?"
}

qrels = {
    "q1" : {"doc1": 1},
    "q2" : {"doc2": 1},
}

SCIDOCS Data Splits

Subset	Split	Rows
corpus	corpus	25,657
queries	queries	1,000

BEIR Direct Download

You can also download BEIR datasets directly (without loading through Hugging Face datasets) using the links below.

Dataset	Website	BEIR-Name	Type	Queries	Corpus	Rel D/Q	Down-load	md5
MSMARCO	Homepage	`msmarco`	`train` `dev` `test`	6,980	8.84M	1.1	Link	`444067daf65d982533ea17ebd59501e4`
TREC-COVID	Homepage	`trec-covid`	`test`	50	171K	493.5	Link	`ce62140cb23feb9becf6270d0d1fe6d1`
NFCorpus	Homepage	`nfcorpus`	`train` `dev` `test`	323	3.6K	38.2	Link	`a89dba18a62ef92f7d323ec890a0d38d`
BioASQ	Homepage	`bioasq`	`train` `test`	500	14.91M	8.05	No	How to Reproduce?
NQ	Homepage	`nq`	`train` `test`	3,452	2.68M	1.2	Link	`d4d3d2e48787a744b6f6e691ff534307`
HotpotQA	Homepage	`hotpotqa`	`train` `dev` `test`	7,405	5.23M	2.0	Link	`f412724f78b0d91183a0e86805e16114`
FiQA-2018	Homepage	`fiqa`	`train` `dev` `test`	648	57K	2.6	Link	`17918ed23cd04fb15047f73e6c3bd9d9`
Signal-1M(RT)	Homepage	`signal1m`	`test`	97	2.86M	19.6	No	How to Reproduce?
TREC-NEWS	Homepage	`trec-news`	`test`	57	595K	19.6	No	How to Reproduce?
ArguAna	Homepage	`arguana`	`test`	1,406	8.67K	1.0	Link	`8ad3e3c2a5867cdced806d6503f29b99`
Touche-2020	Homepage	`webis-touche2020`	`test`	49	382K	19.0	Link	`46f650ba5a527fc69e0a6521c5a23563`
CQADupstack	Homepage	`cqadupstack`	`test`	13,145	457K	1.4	Link	`4e41456d7df8ee7760a7f866133bda78`
Quora	Homepage	`quora`	`dev` `test`	10,000	523K	1.6	Link	`18fb154900ba42a600f84b839c173167`
DBPedia	Homepage	`dbpedia-entity`	`dev` `test`	400	4.63M	38.2	Link	`c2a39eb420a3164af735795df012ac2c`
SCIDOCS	Homepage	`scidocs`	`test`	1,000	25K	4.9	Link	`38121350fc3a4d2f48850f6aff52e4a9`
FEVER	Homepage	`fever`	`train` `dev` `test`	6,666	5.42M	1.2	Link	`5a818580227bfb4b35bb6fa46d9b6c03`
Climate-FEVER	Homepage	`climate-fever`	`test`	1,535	5.42M	3.0	Link	`8b66f0a9126c521bae2bde127b4dc99d`
SciFact	Homepage	`scifact`	`train` `test`	300	5K	1.1	Link	`5f7d1de60b170fc8027bb7898e2efca1`
Robust04	Homepage	`robust04`	`test`	249	528K	69.9	No	How to Reproduce?

Citation Information

@inproceedings{
thakur2021beir,
title={{BEIR}: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
author={Nandan Thakur and Nils Reimers and Andreas R{\"u}ckl{\'e} and Abhishek Srivastava and Iryna Gurevych},
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
year={2021},
url={https://openreview.net/forum?id=wCu6T5xFjeJ}
}