Check computer science papers: citations, claims and retractions

Active Retrieval Augmented Generation

Jiang, Z., Xu, F., Gao, L., Sun, Z., Liu, Q., Dwivedi-Yu, J., Yang, Y., Callan, J., & Neubig, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 497

A Lite Distributed Semantic Communication System for Internet of Things

Xie, H., & Qin, Z. (2021) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingAdvanced Wireless Communication Technologies

Cited by 497

Minimum complexity density estimation

Barron, A. R., & Cover, T. M. (1991) · IEEE Transactions on Information Theory

Computability, Logic, AI AlgorithmsStatistical Methods and Inference

Cited by 497

Exception handling: issues and a proposed notation

Goodenough, J. B. (1975) · Communications of the ACM

Logic, programming, and type systemsDistributed systems and fault tolerance

Cited by 496

Aequitas: A Bias and Fairness Audit Toolkit

Saleiro, P., Kuester, B., Hinkson, L., London, J., Stevens, A., Anisfeld, A., Rodolfa, K. T., & Ghani, R. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 496

Real-Time Video Analytics: The Killer App for Edge Computing

Ananthanarayanan, G., Bahl, P., Bodik, P., Chintalapudi, K., Philipose, M., Ravindranath, L., & Sinha, S. (2017) · Computer

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 496

Deformable Siamese Attention Networks for Visual Object Tracking

Yu, Y., Xiong, Y., Huang, W., & Scott, M. R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsVisual Attention and Saliency Detection

Cited by 495

Accountability in artificial intelligence: what it is and how it works

Novelli, C., Taddeo, M., & Floridi, L. (2024) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 495

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Zhang, N., Paluri, M., Ranzato, M., Darrell, T., & Bourdev, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsFace recognition and analysis

Cited by 495

Automatic rigging and animation of 3D characters

Baran, I., & Popović, J. (2007) · ACM SIGGRAPH 2007 papers

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 495

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Nagpal, K., Foote, D., Liu, Y., Chen, P.-H. C., Wulczyn, E., Tan, F., Olson, N., Smith, J. L., Mohtashamian, A., Wren, J. H., et al. (2019) · npj Digital Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 495

Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review

Jamshed, M. A., Ali, K., Abbasi, Q. H., Imran, M. A., & Ur-Rehman, M. (2022) · IEEE Sensors Journal

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 495

If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology

Wallis, J. C., Rolando, E., & Borgman, C. L. (2013) · PLoS ONE

Research Data Management PracticesData Analysis and Archiving

Cited by 495

On the Class Imbalance Problem

Guo, X., Yin, Y., Dong, C., Yang, G., & Zhou, G. (2008) · 2008 Fourth International Conference on Natural Computation

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 495

Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification

Roughan, M., Sen, S., Spatscheck, O., & Duffield, N. (2004) · Proceedings of the 4th ACM SIGCOMM conference on Internet measurement

Network Traffic and Congestion ControlInternet Traffic Analysis and Secure E-voting

Cited by 494

Latent dirichlet allocation for tag recommendation

Krestel, R., Fankhauser, P., & Nejdl, W. (2009) · Proceedings of the third ACM conference on Recommender systems

Recommender Systems and TechniquesSemantic Web and Ontologies

Cited by 494

Detecting depression from facial actions and vocal prosody

Cohn, J. F., Kruez, T. S., Matthews, I., Yang, Y., Nguyen, M. H., Padilla, M. T., Zhou, F., & De la Torre, F. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops

Emotion and Mood RecognitionFace recognition and analysis

Cited by 494

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove

Wen, F., Zhang, Z., He, T., & Lee, C. (2021) · Nature Communications

Hand Gesture Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Cited by 494

Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’

Newell, S., & Marabelli, M. (2015) · The Journal of Strategic Information Systems

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 494

Bayesian Neural Networks for Internet Traffic Classification

Auld, T., Moore, A. W., & Gull, S. F. (2007) · IEEE Transactions on Neural Networks

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 494

Legal and human rights issues of AI: Gaps, challenges and vulnerabilities

Rodrigues, R. (2020) · Journal of Responsible Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 494

Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior

Sayed, A. H., Tu, S.-Y., Chen, J., Zhao, X., & Towfic, Z. J. (2013) · IEEE Signal Processing Magazine

Advanced Adaptive Filtering TechniquesDistributed Control Multi-Agent Systems

Cited by 494

Do information and communication technologies (ICTs) contribute to development?

Heeks, R. (2010) · Journal of International Development

ICT in Developing CommunitiesICT Impact and Policies

Cited by 494

From extractable collision resistance to succinct non-interactive arguments of knowledge, and back again

Bitansky, N., Canetti, R., Chiesa, A., & Tromer, E. (2012) · Proceedings of the 3rd Innovations in Theoretical Computer Science Conference

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 493