Check computer science papers: citations, claims and retractions

Body and mind: a study of avatar personalization in three virtual worlds

Ducheneaut, N., Wen, M.-H., Yee, N., & Wadley, G. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsDigital Games and Media

Cited by 461

A Framework for Knowledge-Based Temporal Abstraction

Shahar, Y. (1997) · Artificial Intelligence

AI-based Problem Solving and PlanningTime Series Analysis and Forecasting

Cited by 461

A multimodal generative AI copilot for human pathology

Lu, M. Y., Chen, B., Williamson, D. F. K., Chen, R. J., Zhao, M., Chow, A. K., Ikemura, K., Kim, A., Pouli, D., Patel, A., et al. (2024) · Nature

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 461

Emotion recognition using wireless signals

Zhao, M., Adib, F., & Katabi, D. (2016) · Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 461

On Measuring Social Biases in Sentence Encoders

May, C., Wang, A., Bordia, S., Bowman, S. R., & Rudinger, R. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Ethics and Social Impacts of AITopic Modeling

Cited by 461

A Survey of Multi-Objective Sequential Decision-Making

Roijers, D. M., Vamplew, P., Whiteson, S., & Dazeley, R. (2013) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsAdvanced Multi-Objective Optimization Algorithms

Cited by 461

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

Yi, L., Su, H., Guo, X., & Guibas, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Graph Neural Networks

Cited by 461

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

Singh, B., Marks, T. K., Jones, M., Tuzel, O., & Shao, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 461

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Chefer, H., Alaluf, Y., Vinker, Y., Wolf, L., & Cohen-Or, D. (2023) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 461

Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms

Hong, C.-H., & Varghese, B. (2020) · ACM Computing Surveys

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 461

Recent Progress in Virtual Reality Exposure Therapy for Phobias: A Systematic Review

Botella, C., Fernández-Álvarez, J., Guillén, V., García-Palacios, A., & Baños, R. (2017) · Current Psychiatry Reports

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 460

GLTR: Statistical Detection and Visualization of Generated Text

Gehrmann, S., Strobelt, H., & Rush, A. M. (2019) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 460

Deep Interactive Object Selection

Xu, N., Price, B., Cohen, S., Yang, J., & Huang, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 460

Quantum-Enhanced Machine Learning

Dunjko, V., Taylor, J. M., & Briegel, H. J. (2016) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 460

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Brosch, T., Tang, L. Y. W., Yoo, Y., Li, D. K. B., Traboulsee, A., & Tam, R. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 460

What are you looking for?: an eye-tracking study of information usage in web search

Cutrell, E., & Guan, Z. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 460

Health system-scale language models are all-purpose prediction engines

Jiang, L. Y., Liu, X. C., Nejatian, N. P., Nasir-Moin, M., Wang, D., Abidin, A., Eaton, K., Riina, H. A., Laufer, I., Punjabi, P., et al. (2023) · Nature

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 460

Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm

Colless, J. I., Ramasesh, V. V., Dahlen, D., Blok, M. S., Kimchi-Schwartz, M. E., McClean, J. R., Carter, J., de Jong, W. A., & Siddiqi, I. (2018) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 460

Intelligent video surveillance: A review through deep learning techniques for crowd analysis

Sreenu, G., & Saleem Durai, M. A. (2019) · Journal of Big Data

Video Surveillance and Tracking MethodsHuman Pose and Action Recognition

Cited by 460

A review on TinyML: State-of-the-art and prospects

Ray, P. P. (2022) · Journal of King Saud University - Computer and Information Sciences

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 460

Internet traffic classification using bayesian analysis techniques

Moore, A. W., & Zuev, D. (2005) · ACM SIGMETRICS Performance Evaluation Review

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

Cited by 460

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Wang, Y., Le, H., Gotmare, A. D., Bui, N. D. Q., Li, J., & Hoi, S. C. H. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 459

Fog Computing for Sustainable Smart Cities: A Survey

Perera, C., Qin, Y., Estrella, J. C., Reiff-Marganiec, S., & Vasilakos, A. V. (2018) · ACM Computing Surveys

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 459

Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification

Sathya, R., & Abraham, A. (2013) · International Journal of Advanced Research in Artificial Intelligence

Neural Networks and ApplicationsData Mining and Machine Learning Applications

Cited by 459