Check computer science papers: citations, claims and retractions

Neural network capacity using delta rule

Prados, D. L., & Kak, S. C. (1989) · Electronics Letters

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 19

Bypassing Push-based Second Factor and Passwordless Authentication with Human-Indistinguishable Notifications

Jubur, M., Shrestha, P., Saxena, N., & Prakash, J. (2021) · Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 19

Generating Fair Universal Representations using Adversarial Models

Kairouz, P., Liao, J., Huang, C., Vyas, M., Welfert, M., & Sankar, L. (2019) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 19

Federated learning with multi-cohort real-world data for predicting the progression from mild cognitive impairment to Alzheimer's disease

Pan, J., Fan, Z., Smith, G. E., Guo, Y., Bian, J., & Xu, J. (2025) · Alzheimer's & Dementia

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 19

Anomaly Detection and Enterprise Security using User and Entity Behavior Analytics (UEBA)

Zunair Ahmed Khan, M., Mubashir Khan, M., & Arshad, J. (2022) · 2022 3rd International Conference on Innovations in Computer Science & Software Engineering (ICONICS)

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 19

Multimodal Emotion Recognition Using a Modified Dense Co-Attention Symmetric Network

Zhao, Z.-W., Liu, W., & Lu, B.-L. (2021) · 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)

Emotion and Mood RecognitionGaze Tracking and Assistive Technology

Cited by 19

Do generative video models understand physical principles?

Motamed, S., Culp, L., Swersky, K., Jaini, P., & Geirhos, R. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 19

EMPOWERING GAME DESIGNERS WITH GENERATIVE AI

(2023) · IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS

Artificial Intelligence in GamesDigital Games and Media

Cited by 19

Advanced Approach to Information Security Management System Model for Industrial Control System

Park, S., & Lee, K. (2014) · The Scientific World Journal

Information and Cyber SecurityQuality and Management Systems

Cited by 19

Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection

Hou, L., Zhang, Y., Fu, K., & Li, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 19

Language Models Can Teach Themselves to Program Better

Haluptzok, P., Bowers, M., & Kalai, A. T. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 19

Taming the parallel effect zoo

Kuper, L., Todd, A., Tobin-Hochstadt, S., & Newton, R. R. (2014) · Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation

Logic, programming, and type systemsParallel Computing and Optimization Techniques

Cited by 19

Generalized evidence passing for effect handlers: efficient compilation of effect handlers to C

Xie, N., & Leijen, D. (2021) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 19

Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models

Zhao, L., Chen, X., Chen, E. Z., Liu, Y., Chen, T., & Sun, S. (2025) · IEEE Transactions on Neural Networks and Learning Systems

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 19

Improving Alignment and Robustness with Circuit Breakers

Zou, A., Phan, L., Wang, J., Duenas, D., Lin, M., Andriushchenko, M., Wang, R., Kolter, Z., Fredrikson, M., & Hendrycks, D. (2024) · arXiv

Software System Performance and ReliabilityDistributed systems and fault tolerance

Cited by 19

Danesh: Interactive Tools for Understanding Procedural Content Generators

Cook, M., Gow, J., Smith, G., & Colton, S. (2022) · IEEE Transactions on Games

Artificial Intelligence in GamesComputer Graphics and Visualization Techniques

Cited by 19

AI-Based Techniques for Real-Time Face Recognition-based Attendance System- A comparative Study

Pattnaik, P., & Mohanty, K. K. (2020) · 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Face recognition and analysisFace and Expression Recognition

Cited by 19

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models

Newman, B., Lee, Y., Naik, A., Siangliulue, P., Fok, R., Kim, J., Weld, D. S., Chang, J. C., & Lo, K. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdvanced Text Analysis Techniques

Cited by 19

Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach

Hasan, S. M., Alotaibi, A. M., Talukder, S., & Shahid, A. R. (2024) · 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 19

Detecting CNN-Generated Facial Images in Real-World Scenarios

Hulzebosch, N., Ibrahimi, S., & Worring, M. (2020) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 18

Peeking into the black box: visualising learning activities

García, R. M. C., Pardo, A., Kloos, C. D., Niemann, K., Scheffel, M., & Wolpers, M. (2012) · International Journal of Technology Enhanced Learning

Online Learning and AnalyticsData Visualization and Analytics

Cited by 18

Improving accuracy for identifying related PubMed queries by an integrated approach

Lu, Z., & Wilbur, W. J. (2009) · Journal of Biomedical Informatics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 18

Advances in artificial intelligence applications in the field of lung cancer

Yang, D., Miao, Y., Liu, C., Zhang, N., Zhang, D., Guo, Q., Gao, S., Li, L., Wang, J., Liang, S., et al. (2024) · Frontiers in Oncology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 18

BEBERT: Efficient and robust binary ensemble BERT

Tian, J., Fang, C., Wang, H., & Wang, Z. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Advanced Neural Network ApplicationsTopic Modeling

Cited by 18