Check computer science papers: citations, claims and retractions

Multi-Participant Multi-Class Vertical Federated Learning

Feng, S., & Yu, H. (2020) · arXiv

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 66

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset

Narayan, K., Agarwal, H., Thakral, K., Mittal, S., Vatsa, M., & Singh, R. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 66

SAGA: Collaborative Storytelling with GPT-3

Shakeri, H., Neustaedter, C., & DiPaola, S. (2021) · Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing

Innovative Human-Technology InteractionArtificial Intelligence in Games

Cited by 66

Interpolation-based Semi-supervised Learning for Object Detection

Jeong, J., Verma, V., Hyun, M., Kannala, J., & Kwak, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 66

Multimodal risk prediction with physiological signals, medical images and clinical notes

Wang, Y., Yin, C., & Zhang, P. (2024) · Heliyon

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 66

Artificial intelligence, 21st century competences, and socio‐emotional learning in education: More than high‐risk?

Tuomi, I. (2022) · European Journal of Education

Ethics and Social Impacts of AIDigital Education and Society

Cited by 66

TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices

Kopparapu, K., Lin, E., Breslin, J. G., & Sudharsan, B. (2022) · 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 66

Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service

Newlands, G. (2021) · Big Data & Society

Ethics and Social Impacts of AIDigital Economy and Work Transformation

Cited by 66

A Review on Risk Management in Information Systems: Risk Policy, Control and Fraud Detection

Taherdoost, H. (2021) · Electronics

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 66

Should Artificial Intelligence Governance be Centralised?: Design Lessons from History

Cihon, P., Maas, M. M., & Kemp, L. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 66

Learning and performance with gesture guides

Anderson, F., & Bischof, W. F. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 66

Do Enhanced Compiler Error Messages Help Students?: Results Inconclusive.

Pettit, R. S., Homer, J., & Gee, R. (2017) · Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 66

Nemotron-4 340B Technical Report

Nvidia, :, Adler, B., Agarwal, N., Aithal, A., Anh, D. H., Bhattacharya, P., Brundyn, A., Casper, J., Catanzaro, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 66

Detecting Learning Moment-by-Moment

Baker, R. S. J. D., Goldstein, A. B., & Heffernan, N. T. (2011) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 66

Adaptive pruning-based optimization of parameterized quantum circuits

Sim, S., Romero, J., Gonthier, J. F., & Kunitsa, A. A. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 66

Variational consistent histories as a hybrid algorithm for quantum foundations

Arrasmith, A., Cincio, L., Sornborger, A. T., Zurek, W. H., & Coles, P. J. (2019) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 66

AI Agents and Agentic AI–navigating a plethora of concepts for future manufacturing

Ren, Y., Liu, Y., Ji, T., & Xu, X. (2025) · Journal of Manufacturing Systems

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 66

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Rotstein, N., Bensaïd, D., Brody, S., Ganz, R., & Kimmel, R. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 66

A new perspective towards the development of robust data-driven intrusion detection for industrial control systems

Ayodeji, A., Liu, Y.-K., Chao, N., & Yang, L.-Q. (2020) · Nuclear Engineering and Technology

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 66

Sentence-level Emotion Classification with Label and Context Dependence

Li, S., Huang, L., Wang, R., & Zhou, G. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 66

Potential integration of blockchain technology into smart sustainable city (SSC) developments: a systematic review

Wong, P. F., Chia, F. C., Kiu, M. S., & Lou, E. C. W. (2022) · Smart and Sustainable Built Environment

Blockchain Technology Applications and SecuritySmart Cities and Technologies

Cited by 66

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Zhang, X., Wu, C., Zhao, Z., Lin, W., Zhang, Y., Wang, Y., & Xie, W. (2023) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 66

How Interpretable and Trustworthy are GAMs?

Chang, C.-H., Tan, S., Lengerich, B., Goldenberg, A., & Caruana, R. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 66

Diverse Demonstrations Improve In-context Compositional Generalization

Levy, I., Bogin, B., & Berant, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 66