Check computer science papers: citations, claims and retractions

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Rountree, L., Lin, Y.-T., Liu, C., Salvatore, M., Admon, A., Nallamothu, B., Singh, K., Basu, A., Bu, F., & Mukherjee, B. (2025) · Online Journal of Public Health Informatics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 13

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models

Shu, D., Wu, X., Zhao, H., Rai, D., Yao, Z., Liu, N., & Du, M. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 13

Enhancing clinical decision support with physiological waveforms - A multimodal benchmark in emergency care

Alcaraz, J. M. L., Bouma, H., & Strodthoff, N. (2025) · Computers in Biology and Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 13

A weak definition of Delaunay triangulation

de Silva, V. (2003) · arXiv

Computational Geometry and Mesh GenerationTopological and Geometric Data Analysis

Cited by 13

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Nasiriany, S., Xia, F., Yu, W., Xiao, T., Liang, J., Dasgupta, I., Xie, A., Driess, D., Wahid, A., Xu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 13

Understanding Programs by Exploiting (Fuzzing) Test Cases

Zhao, J., Rong, Y., Guo, Y., He, Y., & Chen, H. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 13

Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German Essays

Weiss, Z., Riemenschneider, A., Schröter, P., & Meurers, D. (2019) · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications

Natural Language Processing TechniquesText Readability and Simplification

Cited by 13

Sparse projected-gradient method as a linear-scaling low-memory alternative to diagonalization in self-consistent field electronic structure calculations.

Birgin, E. G., Martı́nez, J. M., Martı́nez, L., & Rocha, G. B. (2013) · Journal of Chemical Theory and Computation

Matrix Theory and AlgorithmsAdvanced Chemical Physics Studies

Cited by 13

A cryptographic framework for secure medical imaging in smart healthcare environments

Lata, K., Gupta, C., & Cenkeramaddi, L. R. (2025) · Results in Engineering

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 13

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Bhattarai, M., Santos, J. E., Jones, S., Biswas, A., Alexandrov, B., & O'Malley, D. (2024) · 2024 IEEE High Performance Extreme Computing Conference (HPEC)

Software Engineering ResearchTopic Modeling

Cited by 13

Planning for a Zero Trust Architecture: A Planning Guide for Federal Administrators

Rose, S. (2022)

Information and Cyber SecurityAccess Control and Trust

Cited by 13

Linear algebra with transformers

Charton, F. (2021) · arXiv

Matrix Theory and AlgorithmsNeural Networks and Applications

Cited by 13

Fisher SAM: Information Geometry and Sharpness Aware Minimisation

Kim, M., Li, D., Hu, S. X., & Hospedales, T. M. (2022) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 13

Comparing deep reinforcement learning architectures for autonomous racing

Evans, B. D., Jordaan, H. W., & Engelbrecht, H. A. (2023) · Machine Learning with Applications

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 13

To Get Lost is to Learn the Way: Automatically Collecting Multi-step Social Engineering Attacks on the Web

Koide, T., Chiba, D., & Akiyama, M. (2020) · Proceedings of the 15th ACM Asia Conference on Computer and Communications Security

Spam and Phishing DetectionWeb Application Security Vulnerabilities

Cited by 13

Are Machine Learning Models for Malware Detection Ready for Prime Time?

Cavallaro, L., Kinder, J., Pendlebury, F., & Pierazzi, F. (2023) · IEEE Security & Privacy

Advanced Malware Detection TechniquesSpam and Phishing Detection

Cited by 13

Instruction Tuning With Loss Over Instructions

Shi, Z., Yang, A., Wu, B., Aitchison, L., Yilmaz, E., & Lipani, A. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 13

Learning to Generate Personalized Product Descriptions

Elad, G., Guy, I., Novgorodov, S., Kimelfeld, B., & Radinsky, K. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 13

Enhancing the Composition Task in Text Entry Studies: Eliciting Difficult Text and Improving Error Rate Calculation

Gaines, D., Kristensson, P. O., & Vertanen, K. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignUser Authentication and Security Systems

Cited by 13

The Limits of Computation: Joseph Weizenbaum and the ELIZA Chatbot

Berry, D. (2023) · Weizenbaum Institute

History of Computing TechnologiesCybernetics and Technology in Society

Cited by 13

Integrating security controls in DevSecOps: Challenges, solutions, and future research directions

Sinan, M., Shahin, M., & Gondal, I. (2025) · Journal of Software: Evolution and Process

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 13

Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models

Reti, D., Becker, N., Angeli, T., Chattopadhyay, A., Schneider, D., Vollmer, S., & Schotten, H. D. (2024) · Proceedings of the 11th ACM Workshop on Adaptive and Autonomous Cyber Defense

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 13

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Zhao, A., Wu, Y., Yue, Y., Wu, T., Xu, Q., Yue, Y., Lin, M., Wang, S., Wu, Q., Zheng, Z., et al. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 13

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Peng, B., Goldstein, D., Anthony, Q., Albalak, A., Alcaide, E., Biderman, S., Cheah, E., Du, X., Ferdinan, T., Hou, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13