Check computer science papers: citations, claims and retractions

The design of eco-feedback technology

Froehlich, J., Findlater, L., & Landay, J. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPro-Environmental Behavior and Attitudes

Cited by 813

MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks

Hunkeler, U., Truong, H. L., & Stanford-Clark, A. (2008) · 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08)

Energy Efficient Wireless Sensor NetworksIoT Networks and Protocols

Cited by 813

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Xu, Y., Li, M., Cui, L., Huang, S., Wei, F., & Zhou, M. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Handwritten Text Recognition TechniquesTopic Modeling

Cited by 812

Fault-Tolerant Quantum Computation with High Threshold in Two Dimensions

Raussendorf, R., & Harrington, J. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 812

Provenance semirings

Green, T. J., Karvounarakis, G., & Tannen, V. (2007) · Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

Advanced Database Systems and QueriesLogic, Reasoning, and Knowledge

Cited by 812

Teaching Large Language Models to Self-Debug

Chen, X., Lin, M., Schärli, N., & Zhou, D. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 812

The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

Markus, A. F., Kors, J. A., & Rijnbeek, P. R. (2021) · Journal of Biomedical Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 811

Data governance: Organizing data for trustworthy Artificial Intelligence

Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020) · Government Information Quarterly

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 811

What is intrinsic motivation? A typology of computational approaches

Oudeyer, P.-Y. (2007) · Frontiers in Neurorobotics

Reinforcement Learning in RoboticsPsychological and Educational Research Studies

Cited by 811

Quantum Error Correction and Orthogonal Geometry

Calderbank, A. R., Rains, E. M., Shor, P. W., & Sloane, N. J. A. (1997) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureCoding theory and cryptography

Cited by 811

A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data

Shaffer, D. W., Collier, W., & Ruis, A. R. (2016) · Journal of Learning Analytics

Online Learning and AnalyticsComplex Network Analysis Techniques

Cited by 811

State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

Fadlullah, Z. M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 810

Independent EEG Sources Are Dipolar

Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012) · PLoS ONE

Blind Source Separation TechniquesEEG and Brain-Computer Interfaces

Cited by 810

Learning capability and storage capacity of two-hidden-layer feedforward networks

Huang, G.-B. (2003) · IEEE Transactions on Neural Networks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 810

A note on the Entscheidungsproblem

Church, A. (1936) · Journal of Symbolic Logic

Computability, Logic, AI AlgorithmsLogic, programming, and type systems

Cited by 810

Can AI-Generated Text be Reliably Detected?

Sadasivan, V. S., Kumar, A., Balasubramanian, S., Wang, W., & Feizi, S. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 810

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks

Liu, X., Ji, K., Fu, Y., Tam, W., Du, Z., Yang, Z., & Tang, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 810

Machine Unlearning

Bourtoule, L., Chandrasekaran, V., Choquette-Choo, C. A., Jia, H., Travers, A., Zhang, B., Lie, D., & Papernot, N. (2021) · 2021 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 810

Multiple Object Recognition with Visual Attention

Ba, J., Mnih, V., & Kavukcuoglu, K. (2014) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 808

BlockChain: A Distributed Solution to Automotive Security and Privacy

Dorri, A., Steger, M., Kanhere, S. S., & Jurdak, R. (2017) · IEEE Communications Magazine

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 807

ResMLP: Feedforward networks for image classification with data-efficient training

Touvron, H., Bojanowski, P., Caron, M., Cord, M., El-Nouby, A., Grave, E., Izacard, G., Joulin, A., Synnaeve, G., Verbeek, J., et al. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 807

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training

Touvron, H., Bojanowski, P., Caron, M., Cord, M., El-Nouby, A., Grave, E., Izacard, G., Joulin, A., Synnaeve, G., Verbeek, J., et al. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 807

The Cellosaurus, a Cell-Line Knowledge Resource

Bairoch, A. (2018) · Journal of Biomolecular Techniques JBT

Research Data Management PracticesBiomedical Text Mining and Ontologies

Cited by 807

Programmable Quantum Simulations of Spin Systems with Trapped Ions

Monroe, C., Campbell, W. C., Duan, L. M., Gong, Z. X., Gorshkov, A. V., Hess, P., Islam, R., Kim, K., Linke, N., Pagano, G., et al. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 806