Check computer science papers: citations, claims and retractions

Bidirectional Transformer GAN for Long-term Human Motion Prediction

Zhao, M., Tang, H., Xie, P., Dai, S., Sebe, N., & Wang, W. (2023) · ACM Transactions on Multimedia Computing, Communications, and Applications

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 38

Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review

Sasseville, M., Ouellet, S., Rhéaume, C., Sahlia, M., Couture, V., Després, P., Paquette, J.-S., Darmon, D., Bergeron, F., & Gagnon, M.-P. (2025) · Journal of Medical Internet Research

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 38

Build systems à la carte

Mokhov, A., Mitchell, N., & Peyton Jones, S. (2018) · Proceedings of the ACM on Programming Languages

Software Engineering Techniques and PracticesLogic, programming, and type systems

Cited by 38

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark

Choi, M., Pei, J., Kumar, S., Shu, C., & Jurgens, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 38

Tribal Governance: The Business of Blockchain Authentication

Miscione, G., Ziolkowski, R., Zavolokina, L., & Schwabe, G. (2018) · Proceedings of the Annual Hawaii International Conference on System Sciences

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 38

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning

Kreutzer, J., Uyheng, J., & Riezler, S. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 38

Computer Vision and Conflicting Values: Describing People with Automated Alt Text

Hanley, M., Barocas, S., Levy, K., Azenkot, S., & Nissenbaum, H. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigital Accessibility for Disabilities

Cited by 38

Yolo-3DMM for Simultaneous Multiple Object Detection and Tracking in Traffic Scenarios

Liu, L., Song, X., Song, H., Sun, S., Han, X.-F., Akhtar, N., & Mian, A. (2024) · IEEE Transactions on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 38

A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement

Sarkar, S., Gaur, M., Chen, L. K., Garg, M., & Srivastava, B. (2023) · Frontiers in Artificial Intelligence

Explainable Artificial Intelligence (XAI)Digital Mental Health Interventions

Cited by 38

Validation for 2D/3D registration. II: the comparison of intensity- and gradient-based merit functions using a new gold standard data set

Gendrin, C., Markelj, P., Pawiro, S. A., Spoerk, J., Bloch, C., Weber, C., Figl, M., Bergmann, H., Birkfellner, W., Likar, B., et al. (2011) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 38

Implementing zero trust security with dual fuzzy methodology for trust-aware authentication and task offloading in Multi-access Edge Computing

Ali, B., Gregory, M. A., Li, S., & Dib, O. A. (2024) · Computer Networks

IoT and Edge/Fog ComputingAccess Control and Trust

Cited by 38

Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach

Françani, A. O., & Maximo, M. R. O. A. (2023) · arXiv

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 38

Few-Shot Keyword Spotting in Any Language

Mazumder, M., Banbury, C., Meyer, J., Warden, P., & Reddi, V. J. (2021) · Interspeech 2021

Speech Recognition and SynthesisDomain Adaptation and Few-Shot Learning

Cited by 38

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Dainese, N., Merler, M., Alakuijala, M., & Marttinen, P. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 38

Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Liang, P. P., Zadeh, A., & Morency, L.-P. (2022) · arXiv

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 38

Hallucination of Multimodal Large Language Models: A Survey

Bai, Z., Wang, P., Xiao, T., He, T., Han, Z., Zhang, Z., & Shou, M. Z. (2024) · arXiv

Multimodal Machine Learning ApplicationsHallucinations in medical conditions

Cited by 38

Multitude: Large-scale multilingual machine-generated text detection benchmark

Macko, D., Moro, R., Uchendu, A., Lucas, J., Yamashita, M., Pikuliak, M., Srba, I., Le, T., Lee, D., Simko, J., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesAuthorship Attribution and Profiling

Cited by 38

Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions

Vasconcelos, M., Cardonha, C., & Gonçalves, B. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 38

Can Visualization Alleviate Dichotomous Thinking? Effects of Visual Representations on the Cliff Effect

Helske, J., Helske, S., Cooper, M., Ynnerman, A., & Besancon, L. (2021) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsStatistics Education and Methodologies

Cited by 38

SwinAnomaly: Real-Time Video Anomaly Detection Using Video Swin Transformer and SORT

Bajgoti, A., Gupta, R., Balaji, P., Dwivedi, R., Siwach, M., & Gupta, D. (2023) · IEEE Access

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 38

Co-designing AI Futures: Integrating AI Ethics, Social Computing, and Design

Loi, D., Wolf, C. T., Blomberg, J. L., Arar, R., & Brereton, M. (2019) · Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion

Innovative Human-Technology InteractionEthics and Social Impacts of AI

Cited by 38

Pose Estimation of Periacetabular Osteotomy Fragments With Intraoperative X-Ray Navigation

Grupp, R. B., Hegeman, R. A., Murphy, R. J., Alexander, C. P., Otake, Y., McArthur, B. A., Armand, M., & Taylor, R. H. (2020) · IEEE Transactions on Biomedical Engineering

Medical Image Segmentation TechniquesHip disorders and treatments

Cited by 38

End-to-End Video Question-Answer Generation With Generator-Pretester Network

Su, H.-T., Chang, C.-H., Shen, P.-W., Wang, Y.-S., Chang, Y.-L., Chang, Y.-C., Cheng, P.-J., & Hsu, W. H. (2021) · IEEE Transactions on Circuits and Systems for Video Technology

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 38

Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation

Yoa, S., Lee, S., Kim, C., & Kim, H. J. (2021) · IEEE Access

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 38