Check computer science papers: citations, claims and retractions

A principled evaluation for a principled idea garden

Jernigan, W., Horvath, A., Lee, M., Burnett, M., Cuilty, T., Kuttal, S., Peters, A., Kwan, I., Bahmani, F., & Ko, A. (2015) · 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Teaching and Learning ProgrammingSpreadsheets and End-User Computing

Cited by 28

Demystifying Multi-Agent Debate: The Role of Confidence and Diversity

Zhu, X., Zhang, C., Chi, Y., Stafford, T., Collier, N., & Vlachos, A. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Topic ModelingMulti-Agent Systems and Negotiation

Cited by 28

On-Device Training of Machine Learning Models on Microcontrollers With a Look at Federated Learning

Grau, M. M., Centelles, R. P., & Freitag, F. (2021) · Proceedings of the Conference on Information Technology for Social Good

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 28

Review of Generative AI Methods in Cybersecurity

Yigit, Y., Buchanan, W. J., Tehrani, M. G., & Maglaras, L. (2024) · arXiv

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 28

Deep Morphology Learning Enhances Ex Vivo Drug Profiling-Based Precision Medicine

Heinemann, T., Kornauth, C., Severin, Y., Vladimer, G. I., Pemovska, T., Hadzijusufovic, E., Agis, H., Krauth, M.-T., Sperr, W. R., Valent, P., et al. (2022) · Blood Cancer Discovery

Digital Imaging for Blood DiseasesAcute Myeloid Leukemia Research

Cited by 28

Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection

Alohaly, M., Balogun, O., & Takabi, D. (2022) · IEEE Access

Access Control and TrustInformation and Cyber Security

Cited by 28

D4: Improving LLM Pretraining via Document De-Duplication and Diversification

Tirumala, K., Simig, D., Aghajanyan, A., & Morcos, A. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingNatural Language Processing Techniques

Cited by 28

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment

Manzini, A., Keeling, G., Marchal, N., McKee, K. R., Rieser, V., & Gabriel, I. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 28

Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs

Hua, A., Tang, K., Gu, C., Gu, J., Wong, E., & Qin, Y. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 28

Multi-Agent System for Students Cognitive Assessment in E-Learning Environment

Shahzad, R., Aslam, M., Al-Otaibi, S. T., Javed, M. S., Khan, A. R., Bahaj, S. A., & Saba, T. (2024) · IEEE Access

Online Learning and AnalyticsEducational Technology and Assessment

Cited by 28

Routine and Standardization in Global Software Development

Esbensen, M., & Bjørn, P. (2014) · Proceedings of the 18th International Conference on Supporting Group Work

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 28

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Chhabra, A., Datta, S., Nahin, S. K., & Mohapatra, P. (2026) · IEEE Access

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 28

Birds of a Feather: Capturing Avian Shape Models from Images

Wang, Y., Kolotouros, N., Daniilidis, K., & Badger, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisFace recognition and analysis

Cited by 28

Solving the App-Level Classification Problem of P2P Traffic Via Optimized Support Vector Machines

Wang, R., Liu, Y., Yang, Y., & Zhou, X. (2006) · Sixth International Conference on Intelligent Systems Design and Applications

Internet Traffic Analysis and Secure E-votingPeer-to-Peer Network Technologies

Cited by 28

LIVE: the Human Role in Learning in Immersive Virtual Environments

Simeone, A. L., Speicher, M., Molnar, A., Wilde, A., & Daiber, F. (2019) · Symposium on Spatial User Interaction

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 28

Gray-Box Shilling Attack: An Adversarial Learning Approach

Wang, Z., Gao, M., Li, J., Zhang, J., & Zhong, J. (2022) · ACM Transactions on Intelligent Systems and Technology

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 28

Comprehensive Evaluation of Deep Learning based Detection Methods for Vehicle Detection in Aerial Imagery

Acatay, O., Sommer, L., Schumann, A., & Beyerer, J. (2018) · 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 28

Scientists' Perspectives on the Potential for Generative AI in their Fields

Morris, M. R. (2023) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 28

On the number of local minima to the point feature based SLAM problem

Huang, S., Wang, H., Frese, U., & Dissanayake, G. (2012) · 2012 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 28

Reward Machines for Cooperative Multi-Agent Reinforcement Learning

Neary, C., Xu, Z., Wu, B., & Topcu, U. (2021) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 28

Bell Sampling from Quantum Circuits

Hangleiter, D., & Gullans, M. J. (2024) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 28

A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Yuan, D., Rastogi, E., Naik, G., Rajagopal, S. P., Goyal, S., Zhao, F., Chintagunta, B., & Ward, J. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)

Topic ModelingMachine Learning in Healthcare

Cited by 28

Reframing classroom sensing: promise and peril

Ogan, A. (2019) · Interactions

Online Learning and AnalyticsDigital Education and Society

Cited by 28

Algorithmic decision making methods for fair credit scoring

Moldovan, D. (2023) · IEEE Access

Ethics and Social Impacts of AIFinancial Distress and Bankruptcy Prediction

Cited by 28