Check computer science papers: citations, claims and retractions

Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction

Yang, J., Wang, K., Peng, X., & Qiao, Y. (2018) · Proceedings of the 20th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionOnline Learning and Analytics

Cited by 79

AutoEmotive: bringing empathy to the driving experience to manage stress

Hernandez, J., McDuff, D., Benavides, X., Amores, J., Maes, P., & Picard, R. (2014) · Proceedings of the 2014 companion publication on Designing interactive systems

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 79

A Detection and Prevention Technique for Man in the Middle Attack in Fog Computing

Aliyu, F., Sheltami, T., & Shakshuki, E. M. (2018) · Procedia Computer Science

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 79

Supporting Human-AI Collaboration in Auditing LLMs with LLMs

Rastogi, C., Ribeiro, M. T., King, N., Nori, H., & Amershi, S. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 79

Collaborative Edge Computing With FPGA-Based CNN Accelerators for Energy-Efficient and Time-Aware Face Tracking System

Liu, X., Yang, J., Zou, C., Chen, Q., Yan, X., Chen, Y., & Cai, C. (2022) · IEEE Transactions on Computational Social Systems

Embedded Systems Design TechniquesIoT and Edge/Fog Computing

Cited by 79

Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice

Tang, R., & Hu, Z. (2019) · Data and Information Management

Research Data Management PracticesLibrary Science and Information

Cited by 79

Graph Attention Networks for Anti-Spoofing

Tak, H., Jung, J.-W., Patino, J., Todisco, M., & Evans, N. (2021) · Interspeech 2021

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 79

A Perceptual Prediction Framework for Self Supervised Event Segmentation

Aakur, S. N., & Sarkar, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 79

Responsible AI in Africa—Challenges and Opportunities

Okolo, C. T., Aruleba, K., & Obaido, G. (2023) · Social and Cultural Studies of Robots and AI

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 79

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

Shen, Y., Ji, R., Zhang, S., Zuo, W., & Wang, Y. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 79

AI, agency and responsibility: the VW fraud case and beyond

Johnson, D. G., & Verdicchio, M. (2019) · AI & SOCIETY

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 79

ANADEM: A Digital Terrain Model for South America

Laipelt, L., Comini de Andrade, B., Collischonn, W., de Amorim Teixeira, A., Paiva, R. C. D. D., & Ruhoff, A. (2024) · Remote Sensing

Satellite Image Processing and PhotogrammetryRemote Sensing and LiDAR Applications

Cited by 79

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology

Song, A. H., Chen, R. J., Ding, T., Williamson, D. F. K., Jaume, G., & Mahmood, F. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 79

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories

Zhu, Y., Liu, Y., Yu, J. J. Q., & Yuan, X. (2022) · IEEE Transactions on Intelligent Transportation Systems

Privacy-Preserving Technologies in DataHuman Mobility and Location-Based Analysis

Cited by 79

Knowledge Editing for Large Language Models: A Survey

Wang, S., Zhu, Y., Liu, H., Zheng, Z., Chen, C., & Li, J. (2025) · ACM Computing Surveys

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 79

Towards General Text Embeddings with Multi-stage Contrastive Learning

Li, Z., Zhang, X., Zhang, Y., Long, D., Xie, P., & Zhang, M. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 79

Quantum Neural Network for Quantum Neural Computing

Zhou, M.-G., Liu, Z.-P., Yin, H.-L., Li, C.-L., Xu, T.-K., & Chen, Z.-B. (2023) · Research

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 79

Motivation and Satisfaction of Software Engineers

Franca, C., da Silva, F. Q. B., & Sharp, H. (2020) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesEmployee Performance and Management

Cited by 79

Transparency as design publicity: explaining and justifying inscrutable algorithms

Loi, M., Ferrario, A., & Viganò, E. (2021) · Ethics and Information Technology

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 79

Video Transformer for Deepfake Detection with Incremental Learning

Khan, S. A., & Dai, H. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Digital Media Forensic DetectionFace recognition and analysis

Cited by 79

Federated Learning in Robotic and Autonomous Systems

Xianjia, Y., Queralta, J. P., Heikkonen, J., & Westerlund, T. (2021) · Procedia Computer Science

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 79

Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring

Huang, Y., Beck, J. L., & Li, H. (2019) · Computer-Aided Civil and Infrastructure Engineering

Sparse and Compressive Sensing TechniquesStructural Health Monitoring Techniques

Cited by 79

Staying on target: A systematic literature review on learner‐facing learning analytics dashboards

Valle, N., Antonenko, P., Dawson, K., & Huggins‐Manley, A. C. (2021) · British Journal of Educational Technology

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 79

Classical signature of quantum annealing

Smolin, J. A., & Smith, G. (2014) · Frontiers in Physics

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 79