Check computer science papers: citations, claims and retractions

Statistical mechanics of learning from examples

Seung, H. S., Sompolinsky, H., & Tishby, N. (1992) · Physical Review A

Neural Networks and ApplicationsTheoretical and Computational Physics

Cited by 532

Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments

Makransky, G., Borre‐Gude, S., & Mayer, R. E. (2019) · Journal of Computer Assisted Learning

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 532

Trajectory-Based Anomalous Event Detection

Piciarelli, C., Micheloni, C., & Foresti, G. L. (2008) · IEEE Transactions on Circuits and Systems for Video Technology

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 532

Unbiased Learning-to-Rank with Biased Feedback

Joachims, T., Swaminathan, A., & Schnabel, T. (2017) · Proceedings of the Tenth ACM International Conference on Web Search and Data Mining

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 531

A Study on Human Activity Recognition Using Accelerometer Data from Smartphones

Bayat, A., Pomplun, M., & Tran, D. A. (2014) · Procedia Computer Science

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 531

Code Llama: Open Foundation Models for Code

Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 531

The promise of machine learning in predicting treatment outcomes in psychiatry

Chekroud, A. M., Bondar, J., Delgadillo, J., Doherty, G., Wasil, A., Fokkema, M., Cohen, Z., Belgrave, D., DeRubeis, R., Iniesta, R., et al. (2021) · World Psychiatry

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 531

Applications of blockchain technology in medicine and healthcare: challenges and future perspectives

Siyal, A. A., Junejo, A. Z., Zawish, M., Ahmed, K., Khalil, A., & Soursou, G. (2019) · Cryptography

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 531

A Frustratingly Easy Approach for Entity and Relation Extraction

Zhong, Z., & Chen, D. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 531

Realization of a Quantum Walk with One and Two Trapped Ions

Zähringer, F., Kirchmair, G., Gerritsma, R., Solano, E., Blatt, R., & Roos, C. F. (2010) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 531

A review of opportunities and challenges of chatbots in education

Hwang, G.-J., & Chang, C.-Y. (2023) · Interactive Learning Environments

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 530

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image

Brachmann, E., Michel, F., Krull, A., Yang, M. Y., Gumhold, S., & Rother, C. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 530

Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

Chen, L., Ai, H., Zhuang, Z., & Shang, C. (2018) · 2018 IEEE International Conference on Multimedia and Expo (ICME)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 530

SisFall: A Fall and Movement Dataset

Sucerquia, A., López, J., & Vargas-Bonilla, J. (2017) · Sensors

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 530

Cross Modal Distillation for Supervision Transfer

Gupta, S., Hoffman, J., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 530

A Bayesian Truth Serum for Subjective Data

Prelec, D. (2004) · Science

Mobile Crowdsensing and CrowdsourcingDecision-Making and Behavioral Economics

Cited by 530

Presence: concept, determinants, and measurement:

IJsselsteijn, W. A., de Ridder, H., Freeman, J., & Avons, S. E. (2000) · SPIE Proceedings

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 529

Towards Open World Recognition

Bendale, A., & Boult, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 529

Network Slicing to Enable Scalability and Flexibility in 5G Mobile Networks

Rost, P., Mannweiler, C., Michalopoulos, D. S., Sartori, C., Sciancalepore, V., Sastry, N., Holland, O., Tayade, S., Han, B., Bega, D., et al. (2017) · IEEE Communications Magazine

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 529

Students’ Misconceptions and Other Difficulties in Introductory Programming: A Literature Review

Qian, Y., & Lehman, J. (2018) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingScience Education and Pedagogy

Cited by 529

Experience Replay for Continual Learning

Rolnick, D., Ahuja, A., Schwarz, J., Lillicrap, T. P., & Wayne, G. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 529

Modern hierarchical, agglomerative clustering algorithms

Müllner, D. (2011) · arXiv

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 529

Quantum Algorithm for Data Fitting

Wiebe, N., Braun, D., & Lloyd, S. (2012) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 528

A Survey of Zero-Shot Learning: Settings, Methods, and Applications

Wang, W., Zheng, V. W., Yu, H., & Miao, C. (2019) · ACM Transactions on Intelligent Systems and Technology

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 528