Check computer science papers: citations, claims and retractions

Toward Blockchain-Based Accounting and Assurance

Dai, J., & Vasarhelyi, M. A. (2017) · Journal of Information Systems

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 881

Variational free energy and the Laplace approximation

Friston, K., Mattout, J., Trujillo-Barreto, N., Ashburner, J., & Penny, W. (2007) · NeuroImage

Gaussian Processes and Bayesian InferenceStatistical Methods and Bayesian Inference

Cited by 880

Theory-based Bayesian models of inductive learning and reasoning

Tenenbaum, J. B., Griffiths, T. L., & Kemp, C. (2006) · Trends in Cognitive Sciences

Bayesian Modeling and Causal InferenceCategorization, perception, and language

Cited by 880

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

Cheng, J., Huang, W., Cao, S., Yang, R., Yang, W., Yun, Z., Wang, Z., & Feng, Q. (2015) · PLOS ONE

Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging

Cited by 879

A Comprehensive Survey of Deep Learning for Image Captioning

Hossain, M. Z., Sohel, F., Shiratuddin, M. F., & Laga, H. (2019) · ACM Computing Surveys

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 879

Learning to Diagnose with LSTM Recurrent Neural Networks

Lipton, Z. C., Kale, D. C., Elkan, C., & Wetzel, R. (2015) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 879

Joint Unsupervised Learning of Deep Representations and Image Clusters

Yang, J., Parikh, D., & Batra, D. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Clustering Algorithms ResearchAdvanced Neural Network Applications

Cited by 879

Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users

Jospin, L. V., Laga, H., Boussaid, F., Buntine, W., & Bennamoun, M. (2022) · IEEE Computational Intelligence Magazine

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 879

Superintelligence: Paths, Dangers, Strategies

Mulgan, T. (2015) · The Philosophical Quarterly

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 878

A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy

Rizzo, A. “., & Kim, G. J. (2005) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsStroke Rehabilitation and Recovery

Cited by 877

The NIST model for role-based access control: towards a unified standard

Sandhu, R., Ferraiolo, D., & Kuhn, R. (2000) · Proceedings of the fifth ACM workshop on Role-based access control

Access Control and TrustUser Authentication and Security Systems

Cited by 877

Quantum Simulators

Buluta, I., & Nori, F. (2009) · Science

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

Cited by 876

Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors

Zeng, M., Nguyen, L. T., Yu, B., Mengshoel, O. J., Zhu, J., Wu, P., & Zhang, J. (2014) · Proceedings of the 6th International Conference on Mobile Computing, Applications and Services

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 876

Retrieval-Augmented Generation for Large Language Models: A Survey

Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., Dai, Y., Sun, J., Wang, M., & Wang, H. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 876

Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers

Schaefer, A., Nils, F., Sanchez, X., & Philippot, P. (2010) · Cognition & Emotion

Emotion and Mood RecognitionEmotions and Moral Behavior

Cited by 875

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 875

Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies

Ferrara, E. (2023) · Sci

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 875

Five factors that guide attention in visual search

Wolfe, J. M., & Horowitz, T. S. (2017) · Nature Human Behaviour

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 875

The computational complexity of linear optics

Aaronson, S., & Arkhipov, A. (2011) · Proceedings of the forty-third annual ACM symposium on Theory of computing

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 874

Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges

Tran, T. X., Hajisami, A., Pandey, P., & Pompili, D. (2017) · IEEE Communications Magazine

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 874

Accurate activity recognition in a home setting

van Kasteren, T., Noulas, A., Englebienne, G., & Kröse, B. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 874

GoEmotions: A Dataset of Fine-Grained Emotions

Demszky, D., Movshovitz-Attias, D., Ko, J., Cowen, A., Nemade, G., & Ravi, S. (2020) · arXiv

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 873

GoEmotions: A Dataset of Fine-Grained Emotions

Demszky, D., Movshovitz-Attias, D., Ko, J., Cowen, A., Nemade, G., & Ravi, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 873

Concurrency control in groupware systems

Ellis, C. A., & Gibbs, S. J. (1989) · ACM SIGMOD Record

Distributed systems and fault toleranceAdvanced Database Systems and Queries

Cited by 873