Check computer science papers: citations, claims and retractions

CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X. (2014) · PLoS ONE

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 993

Algorithmic bias in education

Baker, R. S., & Hawn, A. (2022) · International Journal of Artificial Intelligence in Education

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 993

Applications of digital technology in COVID-19 pandemic planning and response

Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020) · The Lancet Digital Health

COVID-19 Digital Contact TracingData-Driven Disease Surveillance

Cited by 992

Artificial Intelligence in Education: The Three Paradigms

Ouyang, F., & Jiao, P. (2021) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 991

Obtaining well calibrated probabilities using Bayesian binning

Pakdaman Naeini, M., Cooper, G., & Hauskrecht, M. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Bayesian Modeling and Causal InferenceAdversarial Robustness in Machine Learning

Cited by 991

End-to-end encrypted traffic classification with one-dimensional convolution neural networks

Wang, W., Zhu, M., Wang, J., Zeng, X., & Yang, Z. (2017) · 2017 IEEE International Conference on Intelligence and Security Informatics (ISI)

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

Cited by 991

Bricks: laying the foundations for graspable user interfaces

Fitzmaurice, G. W., Ishii, H., & Buxton, W. A. S. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 991

Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings

Bergmann, P., Fauser, M., Sattlegger, D., & Steger, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 990

Robust object tracking via sparsity-based collaborative model

Zhong, W., Lu, H., & Yang, M.-H. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 990

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Ovadia, Y., Fertig, E., Ren, J., Nado, Z., Sculley, D., Nowozin, S., Dillon, J. V., Lakshminarayanan, B., & Snoek, J. (2019) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 989

A brief history of the internet

Leiner, B. M., Cerf, V. G., Clark, D. D., Kahn, R. E., Kleinrock, L., Lynch, D. C., Postel, J., Roberts, L. G., & Wolff, S. (2009) · ACM SIGCOMM Computer Communication Review

History of Computing TechnologiesTechnology and Education Systems

Cited by 989

Fairness in Criminal Justice Risk Assessments: The State of the Art

Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 988

An architecture-based approach to self-adaptive software

Oreizy, P., Gorlick, M. M., Taylor, R. N., Heimhigner, D., Johnson, G., Medvidovic, N., Quilici, A., Rosenblum, D. S., & Wolf, A. L. (1999) · IEEE Intelligent Systems

Advanced Software Engineering MethodologiesModel-Driven Software Engineering Techniques

Cited by 988

Toward detecting emotions in spoken dialogs

Lee, C. M., & Narayanan, S. S. (2005) · IEEE Transactions on Speech and Audio Processing

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 988

Course signals at Purdue: using learning analytics to increase student success

Arnold, K. E., & Pistilli, M. D. (2012) · Proceedings of the 2nd International Conference on Learning Analytics and Knowledge

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 987

A survey of unsupervised deep domain adaptation

Wilson, G., & Cook, D. J. (2020) · ACM Transactions on Intelligent Systems and Technology

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 987

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

Miech, A., Zhukov, D., Alayrac, J.-B., Tapaswi, M., Laptev, I., & Sivic, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 986

A time delay neural network architecture for efficient modeling of long temporal contexts

Peddinti, V., Povey, D., & Khudanpur, S. (2015) · Interspeech 2015

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 986

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Li, C., Wong, C., Zhang, S., Usuyama, N., Liu, H., Yang, J., Naumann, T., Poon, H., & Gao, J. (2023) · Advances in Neural Information Processing Systems 36

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 986

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

Guo, D., Wang, J., Cui, Y., Wang, Z., & Chen, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 984

Deconstructing disengagement: analyzing learner subpopulations in massive open online courses

Kizilcec, R. F., Piech, C., & Schneider, E. (2013) · Proceedings of the Third International Conference on Learning Analytics and Knowledge

Online Learning and AnalyticsOnline and Blended Learning

Cited by 984

Importance Estimation for Neural Network Pruning

Molchanov, P., Mallya, A., Tyree, S., Frosio, I., & Kautz, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 983

Zerocoin: Anonymous Distributed E-Cash from Bitcoin

Miers, I., Garman, C., Green, M., & Rubin, A. D. (2013) · 2013 IEEE Symposium on Security and Privacy

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 983