Check computer science papers: citations, claims and retractions

Improving generalization for temporal difference learning: The successor representation

Dayan, P. (1993) · Neural Computation

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 693

Deep Learning in Physical Layer Communications

Qin, Z., Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Wireless Communications

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Technologies

Cited by 692

A Survey on Curriculum Learning

Wang, X., Chen, Y., & Zhu, W. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 692

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Rodriguez-Ruiz, A., Lång, K., Gubern-Merida, A., Broeders, M., Gennaro, G., Clauser, P., Helbich, T. H., Chevalier, M., Tan, T., Mertelmeier, T., et al. (2019) · JNCI: Journal of the National Cancer Institute

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 692

Deep Learning in Physical Layer Communications

Qin, Z., Ye, H., Li, G. Y., & Juang, B.-H. F. (2018) · arXiv

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Technologies

Cited by 692

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

Zhang, P., Lan, C., Xing, J., Zeng, W., Xue, J., & Zheng, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 691

'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions

Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., & Shadbolt, N. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 691

A survey of user-centered design practice

Vredenburg, K., Mao, J.-Y., Smith, P. W., & Carey, T. (2002) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 691

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Lee, J., Lee, Y., Kim, J., Kosiorek, A. R., Choi, S., & Teh, Y. W. (2018) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 691

Eye tracking in HCI and usability research

Poole, A., & Ball, L. J. (2006) · Encyclopedia of Human Computer Interaction

Gaze Tracking and Assistive TechnologyUsability and User Interface Design

Cited by 690

Borg, Omega, and Kubernetes

Burns, B., Grant, B., Oppenheimer, D., Brewer, E., & Wilkes, J. (2016) · Communications of the ACM

Cloud Computing and Resource ManagementSoftware System Performance and Reliability

Cited by 690

Almost Any Quantum Logic Gate is Universal

Lloyd, S. (1995) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 690

Is Attention Interpretable?

Serrano, S., & Smith, N. A. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 690

Deep Learning for Sensor-based Human Activity Recognition

Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z., & Liu, Y. (2022) · ACM Computing Surveys

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 690

Research Commentary: Technology-Mediated Learning—A Call for Greater Depth and Breadth of Research

Alavi, M., & Leidner, D. E. (2001) · Information Systems Research

Educational Technology and E-LearningOnline and Blended Learning

Cited by 689

Solutions to scalability of blockchain: a survey

Zhou, Q., Huang, H., Zheng, Z., & Bian, J. (2020) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 689

Fairaccess: a new blockchain-based access control framework for the internet of things

Ouaddah, A., Abou Elkalam, A., & Ait Ouahman, A. (2016) · Security and Communication Networks

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 688

ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Todisco, M., Wang, X., Vestman, V., Sahidullah, M., Delgado, H., Nautsch, A., Yamagishi, J., Evans, N., Kinnunen, T., & Lee, K. A. (2019) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 688

Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges

Yang, R., Yu, F. R., Si, P., Yang, Z., & Zhang, Y. (2019) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 688

Attention-guided CNN for image denoising

Tian, C., Xu, Y., Li, Z., Zuo, W., Fei, L., & Liu, H. (2020) · Neural Networks

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 688

Governance in the Blockchain Economy: A Framework and Research Agenda

IT University of Copenhagen, Beck, R., Müller-Bloch, C., IT University of Copenhagen, King, J. L., & University of Michigan (2018) · Journal of the Association for Information Systems

Blockchain Technology Applications and SecurityInformation Technology Governance and Strategy

Cited by 688

ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Todisco, M., Wang, X., Vestman, V., Sahidullah, M., Delgado, H., Nautsch, A., Yamagishi, J., Evans, N., Kinnunen, T. H., & Lee, K. A. (2019) · Interspeech 2019

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 687

The GOMS family of user interface analysis techniques: comparison and contrast

John, B. E., & Kieras, D. E. (1996) · ACM Transactions on Computer-Human Interaction

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 687

Algorithmic Fairness: Choices, Assumptions, and Definitions

Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2021) · Annual Review of Statistics and Its Application

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 687