Check computer science papers: citations, claims and retractions

How Robust is Your Automatic Diagnosis Model?

Wang, K., Wang, G., Chen, N., & Chen, T. (2019) · 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 3

Harnessing the Potential of Gen-AI Coding Assistants in Public Sector Software Development

Ng, K. K., Fauzi, L., Leow, L., & Ng, J. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

Combining LLM, Non-Monotonic Logical Reasoning, and Human-In-the-loop Feedback in an Assistive AI Agent

Fu, T., Jauw, B., & Sridharan, M. (2025) · 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 3

A Comprehensive Survey on Outlying Aspect Mining Methods

Samariya, D., Ma, J., & Aryal, S. (2020) · arXiv

Anomaly Detection Techniques and ApplicationsData Mining Algorithms and Applications

Cited by 3

Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training

Zhai, Y., Liu, H., Zhang, Z., Lin, T., Xu, K., Yang, C., Feng, D., Ding, B., & Wang, H. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 3

PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations

Gopalakrishnan, V., Dey, N., & Golland, P. (2025) · Advances in Neural Information Processing Systems 38

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 3

Ethical Issues Raised by Artificial Intelligence and Big Data in Population Health: A Scoping Review

Couture, V., Roy, M.-C., Dez, E., Tremblay, F., & Bélisle-Pipon, J.-C. (2025) · Frontiers in Sociology

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 3

Enhancing Medical Question Answering with LLMs via a Hybrid Retrieval-Augmented Generation Framework

Aljohani, B., & Alsanoosy, T. (2026) · Information

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

Time Travel with the BiTemporal RDF Model

Tansel, A. U., Wu, D., & Wang, H.-T. (2025) · Mathematics

Semantic Web and OntologiesLogic, Reasoning, and Knowledge

Cited by 3

Furniture image protection scheme based on chaotic generating matrix encryption and filter combined with genetic algorithm noise reduction

Wan, H., Zhou, L., Chen, H., Pang, D., You, Z., Wang, C., Wang, Y., & Huang, G. (2025) · Physica Scripta

Chaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking Techniques

Cited by 3

TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark

Jain, K., Synnaeve, G., & Rozière, B. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 3

Augmented reality as an aid to behavior therapy for anxiety disorders: A narrative review

Rajkumar, R. P. (2024) · Cureus

Augmented Reality ApplicationsDigital Mental Health Interventions

Cited by 3

Sanity Checks for Saliency Metrics

Tomsett, R., Harborne, D., Chakraborty, S., Gurram, P., & Preece, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Visual Attention and Saliency Detection

Cited by 3

A Multi-modal Deep Learning Approach for Predicting Type 2 Diabetes Complications: Early Warning System Design and Implementation

Xiong, K., Cao, G., Jin, M., & Ye, B. (2024) · World Journal of Innovation and Modern Technology

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 3

New circuits and an open source decoder for the color code

Gidney, C., & Jones, C. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 3

AdANNS: A Framework for Adaptive Semantic Search

Rege, A., Kusupati, A., S, S. R., Fan, A., Cao, Q., Kakade, S., Jain, P., & Farhadi, A. (2023) · Advances in Neural Information Processing Systems 36

Information Retrieval and Search BehaviorTopic Modeling

Cited by 3

SemStamp: A semantic watermark with paraphrastic robustness for text generation

Hou, A. B., Zhang, J., He, T., Wang, Y., Chuang, Y.-S., Wang, H., Shen, L., Van Durme, B., Khashabi, D., & Tsvetkov, Y. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 3

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Tang, J., Dai, S., Shi, T., Xu, J., Chen, X., Chen, W., Wu, J., & Jiang, Y. (2026) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 3

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

Naseh, A., Peng, Y., Suri, A., Chaudhari, H., Oprea, A., & Houmansadr, A. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 3

Failing with Grace: Exploring the Role of Repair Costs in Conversational Breakdowns with in-Car Voice Assistants

Meck, A.-M., Draxler, C., & Vogt, T. (2024) · International Journal of Human–Computer Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 3

A SIEM-Integrated Cybersecurity Prototype for Insider Threat Anomaly Detection Using Enterprise Logs and Behavioural Biometrics

Mohamed, M. S. M., & Arabo, A. (2025) · Electronics

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 3

Packing resistant solution to group malware binaries

Azab, A. (2020) · International Journal of Security and Networks

Advanced Malware Detection TechniquesSecurity and Verification in Computing

Cited by 3

SkillAggregation: Reference-free LLM-Dependent Aggregation

Sun, G., Kagrecha, A., Manakul, P., Woodland, P., & Gales, M. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 3

Placement Effect of Motion Sensors for Human Activity Recognition using LSTM Network

Mekruksavanich, S., Jitpattanakul, A., & Thongkum, P. (2021) · 2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 3