Check computer science papers: citations, claims and retractions

Human-in-the-Loop AI: Rethinking Automation Ethics in Decision-Sensitive Domains Case Study of the Education, IT and Non-for-Profit sectors

Joseph, N. S., & Yakubu, M. N. (2025) · International Journal of Research and Innovation in Applied Science

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 3

Uncertainty-Aware Dynamic Fusion for Multimodal Clinical Prediction Tasks

Guo, J., Cheng, Y., He, W., Zhang, Y., Feng, R., & Zhang, X. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Machine Learning in HealthcareMultimodal Machine Learning Applications

Cited by 3

Advancing Continual Learning for Robust Deepfake Audio Classification

Dong, F., Tang, Q., Bai, Y., & Wang, Z. (2024) · TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 3

Multimodal Medical Code Tokenizer

Su, X., Messica, S., Huang, Y., Johnson, R., Fesser, L., Gao, S., Sahneh, F., & Zitnik, M. (2025) · arXiv

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 3

A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers

Bottomly, D., Barnes, B., Mavuwa, K., Lee, N., Roth, H. R., Chen, C., & McWeeney, S. K. (2026) · JMIR AI

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 3

ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models

Barmettler, J., Bernstein, A., & Rossetto, L. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 3

Preliminary study about advantageous trajectory anonymization methods based on population

Hikita, T., & Yamaguchi, R. S. (2018) · 2018 10th International Conference on Communication Systems & Networks (COMSNETS)

Privacy-Preserving Technologies in DataData Management and Algorithms

Cited by 3

MRAG: a modular retrieval framework for time-sensitive question answering

Zhang, S., Xue, Y., Zhang, Y., Wu, X., Luu, A. T., & Zhao, C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

Approximate encoded permutations and piecewise quantum adders

Gidney, C. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic

Cited by 3

Intra-agent speech permits zero-shot task acquisition

Yan, C., Carnevale, F., Georgiev, P., Santoro, A., Guy, A., Muldal, A., Hung, C.-C., Abramson, J., Lillicrap, T., & Wayne, G. (2022) · arXiv

Speech and dialogue systemsDomain Adaptation and Few-Shot Learning

Cited by 3

Prioritizing Original News on Facebook

Ni, X., Bu, S., Adams, L., & Markov, I. L. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 3

Detecting and localizing the anomalies in video surveillance using deep neuralnetwork with advanced feature descriptor

Gayal, B. S., & Patil, S. R. (2022) · 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 3

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations

Chen, N., Li, H., Huang, J., Wang, B., & Li, J. (2024) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 3

Is mining software repositories data science? (keynote)

Mockus, A. (2014) · Proceedings of the 11th Working Conference on Mining Software Repositories

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling

Qin, Z., Lu, Y., Wang, Z. A., & Wang, K. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 3

Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning

Zarrieß, S., Buschmeier, H., Han, T., & Schüz, S. (2021) · Proceedings of the 14th International Conference on Natural Language Generation

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 3

Crossover Designs in Software Engineering Experiments: Review of the State of Analysis

Frattini, J., Fucci, D., & Vegas, S. (2024) · Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Software Engineering Techniques and PracticesOptimal Experimental Design Methods

Cited by 3

Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models

Liang, Y., Zhu, L., & Yang, Y. (2023) · arXiv

Artificial Intelligence in GamesSpeech and dialogue systems

Cited by 3

Towards Practical Credit Assignment for Deep Reinforcement Learning

Alipov, V., Simmons-Edler, R., Putintsev, N., Kalinin, P., & Vetrov, D. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3

Robust Deepfake Detection by Addressing Generalization and Trustworthiness Challenges: A Short Survey

Liu, P., Tao, Q., & Zhou, J. (2024) · Proceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 3

ODDA: An OODA-Driven Diverse Data Augmentation Framework for Low-Resource Relation Extraction

Zhong, Y., Gao, Y., Zhang, X., & Wang, H. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 3

Self-Attention Based Vision Processing for Prosthetic Vision

White, J., Ruiz-Serra, J., Petrie, S., Kameneva, T., & McCarthy, C. (2023) · 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Advanced Neural Network ApplicationsTactile and Sensory Interactions

Cited by 3

Online Environments for Supporting Learning Analytics in the Flipped Classroom: A Scoping Review

Algayres, M., & Triantafyllou, E. (2019) · Proceedings of the 18th European Conference on e-Learning

Online Learning and AnalyticsInnovative Teaching Methods

Cited by 3

Assisting Human Decisions in Document Matching

Kim, J. S., Chen, V., Pruthi, D., Shah, N. B., & Talwalkar, A. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Recommender Systems and Techniques

Cited by 3