Check computer science papers: citations, claims and retractions

Structure Learning via Parameter Learning

Wang, W. Y., Mazaitis, K., & Cohen, W. W. (2014) · Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 47

Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals

Chung, E. A., & Benalcazar, M. E. (2019) · 2019 27th European Signal Processing Conference (EUSIPCO)

Hand Gesture Recognition SystemsMuscle activation and electromyography studies

Cited by 47

Federated Learning with Differential Privacy for Resilient Vehicular Cyber Physical Systems

Olowononi, F. O., Rawat, D. B., & Liu, C. (2021) · 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 47

A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing

Greenwald, J. L., Cronin, P. R., Carballo, V., Danaei, G., & Choy, G. (2017) · Medical Care

Machine Learning in HealthcareHospital Admissions and Outcomes

Cited by 47

Improving Teaching at Scale: Can AI Be Incorporated Into Professional Development to Create Interactive, Personalized Learning for Teachers?

Copur-Gencturk, Y., Li, J., & Atabas, S. (2024) · American Educational Research Journal

Intelligent Tutoring Systems and Adaptive LearningTeacher Education and Leadership Studies

Cited by 47

Distributed Machine Learning through Heterogeneous Edge Systems

Hu, H., Wang, D., & Wu, C. (2019) · arXiv

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 47

BACombo—Bandwidth-Aware Decentralized Federated Learning

Jiang, J., Hu, L., Hu, C., Liu, J., & Wang, Z. (2020) · Electronics

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 47

Blockchain-Based Secure Device Management Framework for an Internet of Things Network in a Smart City

Gong, S., Tcydenova, E., Jo, J., Lee, Y., & Park, J. H. (2019) · Sustainability

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 47

Smart Insiders: Exploring the Threat from Insiders Using the Internet-of-Things

Nurse, J. R. C., Erola, A., Agrafiotis, I., Goldsmith, M., & Creese, S. (2015) · 2015 International Workshop on Secure Internet of Things (SIoT)

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 47

A conformer-based classifier for variable-length utterance processing in anti-spoofing

Rosello, E., Gomez-Alanis, A., Gomez, A. M., & Peinado, A. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 47

Interactive activity recognition and prompting to assist people with cognitive disabilities

Chu, Y., Chol Song, Y., Levinson, R., & Kautz, H. (2012) · Journal of Ambient Intelligence and Smart Environments

Context-Aware Activity Recognition SystemsAssistive Technology in Communication and Mobility

Cited by 47

Cryptanalysis and improvement of a chaotic image encryption by first-order time-delay system

Li, M., Fan, H., Xiang, Y., Li, Y., & Zhang, Y. (2018) · IEEE MultiMedia

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 47

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models

Huang, Y., Zhang, Q., Y, P. S., & Sun, L. (2023) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 47

"It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools

Cheng, R., Wang, R., Zimmermann, T., & Ford, D. (2024) · ACM Transactions on Interactive Intelligent Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 47

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Yin, T., Zhang, Q., Zhang, R., Freeman, W. T., Durand, F., Shechtman, E., & Huang, X. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 47

A Novel IoV Block-Streaming Service Awareness and Trusted Verification Scheme in 6G

Wang, Y., Tian, Y., Hei, X., Zhu, L., & Ji, W. (2021) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 47

Graphic Design Education in the Era of Text‐to‐Image Generation: Transitioning to Contents Creator

Hwang, Y., & Wu, Y. (2025) · International Journal of Art & Design Education

Digital Media and Visual ArtArtificial Intelligence in Education

Cited by 47

Trust and Trustworthiness in AI

Durán, J. M., & Pozzi, G. (2025) · Philosophy & Technology

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 47

Analysis of Learning Behaviors and Outcomes for Students with Different Knowledge Levels: A Case Study of Intelligent Tutoring System for Coding and Learning (ITS-CAL)

Lai, C.-H., & Lin, C.-Y. (2025) · Applied Sciences

Intelligent Tutoring Systems and Adaptive LearningTeaching and Learning Programming

Cited by 47

Fundamental Limitations of Alignment in Large Language Models

Wolf, Y., Wies, N., Avnery, O., Levine, Y., & Shashua, A. (2023) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 47

Autonomous tour guide robot by using ultrasonic range sensors and QR code recognition in indoor environment

Lee, S. J., Lim, J., Tewolde, G., & Kwon, J. (2014) · IEEE International Conference on Electro/Information Technology

QR Code Applications and TechnologiesRobotics and Sensor-Based Localization

Cited by 47

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Rodriguez, P., Barrow, J., Hoyle, A. M., Lalor, J. P., Jia, R., & Boyd-Graber, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 47

Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning

Looney, P., Stevenson, G. N., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Collins, S. L. (2017) · 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 47

Large Language Models Can Learn Temporal Reasoning

Xiong, S., Payani, A., Kompella, R., & Fekri, F. (2024) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 47