Check computer science papers: citations, claims and retractions

A Fuzzy Modeling Approach for Risk-Based Access Control in eHealth Cloud

Li, J., Bai, Y., & Zaman, N. (2013) · 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications

Access Control and TrustCloud Data Security Solutions

Cited by 36

A unified probabilistic framework for measuring the intensity of spontaneous facial action units

Li, Y., Mavadati, S. M., Mahoor, M. H., & Ji, Q. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 36

Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making

Zhou, J., Verma, S., Mittal, M., & Chen, F. (2021) · 2021 8th International Conference on Behavioral and Social Computing (BESC)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 36

How self-regulated learning Is affected by feedback based on large language models: Data-driven sustainable development in computer programming learning

Sun, D., Xu, P., Zhang, J., Liu, R., & Zhang, J. (2025) · Electronics

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 36

Quantum computing: the future of big data and artificial intelligence in spine

Mallow, G. M., Hornung, A., Barajas, J. N., Rudisill, S. S., An, H. S., & Samartzis, D. (2022) · Spine Surgery and Related Research

Quantum Computing Algorithms and ArchitectureArtificial Intelligence in Healthcare and Education

Cited by 36

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Sarthi, P., Abdullah, S., Tuli, A., Khanna, S., Goldie, A., & Manning, C. D. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 36

Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning

Le, B. M., & Woo, S. S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 36

Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines

Polonelli, T., Müller, H., Kong, W., Fischer, R., Benini, L., & Magno, M. (2022) · arXiv

Bluetooth and Wireless Communication TechnologiesEnergy Efficient Wireless Sensor Networks

Cited by 36

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Jacovi, A., Caciularu, A., Goldman, O., & Goldberg, Y. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 36

Training Binary Neural Networks through Learning with Noisy Supervision

Han, K., Wang, Y., Xu, Y., Xu, C., Wu, E., & Xu, C. (2020) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 36

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Wei, H., Zhang, Z., He, S., Xia, T., Pan, S., & Liu, F. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 36

Conservative Agency via Attainable Utility Preservation

Turner, A. M., Hadfield-Menell, D., & Tadepalli, P. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 36

A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences

Muhammad, F., Hussain, M., & Aboalsamh, H. (2023) · Diagnostics

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 36

Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model

Imran, A. S., Dalipi, F., & Kastrati, Z. (2019) · Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 36

Sensing History: Contextualizing Artifacts with Sensory Interactions and Narrative Design

Chu, J. H., Harley, D., Kwan, J., McBride, M., & Mazalek, A. (2016) · Proceedings of the 2016 ACM Conference on Designing Interactive Systems

Innovative Human-Technology InteractionMuseums and Cultural Heritage

Cited by 36

ICGA-GPT: report generation and question answering for indocyanine green angiography images

Chen, X., Zhang, W., Zhao, Z., Xu, P., Zheng, Y., Shi, D., & He, M. (2024) · British Journal of Ophthalmology

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 36

Noise-tolerant fair classification

Lamy, A. L., Zhong, Z., Menon, A. K., & Verma, N. (2019) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 36

Gesture recognition with the linear optical sensor and recurrent neural networks

Czuszynski, K., Ruminski, J., & Kwasniewska, A. (2018) · IEEE Sensors Journal

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 36

A Systematic Literature Review on the Influence of Enhanced Developer Experience on Developers' Productivity: Factors, Practices, and Recommendations

Razzaq, A., Buckley, J., Lai, Q., Yu, T., & Botterweck, G. (2025) · ACM Computing Surveys

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 36

Semi-supervised learning for human activity recognition using adversarial autoencoders

Balabka, D. (2019) · Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 36

An All-Digital True-Random-Number Generator with Integrated De-correlation and Bias Correction at 3.2-to-86 MB/S, 2.58 PJ/Bit in 65-NM CMOS

Pamula, V. R., Sun, X., Kim, S., Rahman, F. U., Zhang, B., & Sathe, V. S. (2018) · 2018 IEEE Symposium on VLSI Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 36

Social engineering: Revisiting end-user awareness and susceptibility to classic attack vectors

Bakhshi, T. (2017) · 2017 13th International Conference on Emerging Technologies (ICET)

Information and Cyber SecuritySpam and Phishing Detection

Cited by 36

Preserving Health Care Data Security and Privacy Using Carmichael's Theorem-Based Homomorphic Encryption and Modified Enhanced Homomorphic Encryption Schemes in Edge Computing Systems

Kumari, K. A., Sharma, A., Chakraborty, C., & Ananyaa, M. (2022) · Big Data

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 36

A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network

Bai, J., Sun, Z., Yu, S., Lu, Y., Long, S., Wang, H., Qiu, R., Ou, Z., Zhou, M., Zhi, D., et al. (2022) · Frontiers in Physiology

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 36