Check computer science papers: citations, claims and retractions

Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks

Zhang, Z., Fang, M., Chen, M., Li, G., Lin, X., & Liu, Y. (2024) · arXiv

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 13

Understanding and Preventing Capacity Loss in Reinforcement Learning

Lyle, C., Rowland, M., & Dabney, W. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 13

FIDO Gets Verified: A Formal Analysis of the Universal Authentication Framework Protocol

Feng, H., Guan, J., Li, H., Pan, X., & Zhao, Z. (2023) · IEEE Transactions on Dependable and Secure Computing

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 13

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Collins, K. M., Wong, C., Feng, J., Wei, M., & Tenenbaum, J. B. (2022) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 13

Hypertext atlas of dermatopathology with expert system for epithelial tumors of the skin

Feit, J., Kempf, W., Jedličková, H., & Burg, G. (2005) · Journal of Cutaneous Pathology

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 13

Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets

Liu, Z., Hoang, T., Zhang, J., Zhu, M., Lan, T., Kokane, S., Tan, J., Yao, W., Liu, Z., Feng, Y., et al. (2024) · Advances in Neural Information Processing Systems 37

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 13

Investigating Educational and Noneducational Answer Selection for Educational Question Generation

Steuer, T., Filighera, A., & Tregel, T. (2022) · IEEE Access

Topic ModelingNatural Language Processing Techniques

Cited by 13

Enhancing loMT Security with Deep Learning Based Approach for Medical IoT Threat Detection

Kavkas, N. C., & Yildiz, K. (2025) · 2025 13th International Symposium on Digital Forensics and Security (ISDFS)

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 13

Adaptive Learning System Applied Bruner’ EIS Theory

Lee, J., & Kim, D.-G. (2012) · IERI Procedia

Intelligent Tutoring Systems and Adaptive LearningLearning Styles and Cognitive Differences

Cited by 13

An Ontology for Standardising Trustworthy AI

Lewis, D., Filip, D., & J. Pandit, H. (2021) · Factoring Ethics in Technology, Policy Making, Regulation and AI

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 13

A 2030 Roadmap for Software Engineering

Pezzè, M., Abrahão, S., Penzenstadler, B., Poshyvanyk, D., Roychoudhury, A., & Yue, T. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 13

Deep learning transforms colorectal cancer biomarker prediction from histopathology images

Ruusuvuori, P., Valkonen, M., & Latonen, L. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 13

Learning Patient Representations from Text

Dligach, D., & Miller, T. (2018) · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 13

Minimally interactive placenta segmentation from three-dimensional ultrasound images

Oguz, I., Yushkevich, N., Pouch, A. M., Oguz, B. U., Wang, J., Parameshwaran, S., Gee, J. C., Yushkevich, P. A., & Schwartz, N. (2020) · Journal of Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 13

Asset Management Method of Industrial IoT Systems for Cyber-Security Countermeasures

Matsumoto, N., Fujita, J., Endoh, H., Yamada, T., Sawada, K., & Kaneko, O. (2021) · Information

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 13

Reinforcing Stereotypes in Health Care Through Artificial Intelligence–Generated Images: A Call for Regulation

van Kolfschooten, H., & Pilottin, A. (2024) · Mayo Clinic Proceedings: Digital Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 13

Investigating consonant reduction in Mandarin Chinese with improved forced alignment

Yuan, J., & Liberman, M. (2015) · Interspeech 2015

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 13

An Advanced Machine Learning Model for Detecting Synthetic Identity Fraud in E-Commerce Platforms

Elebe, O., Hammed, N. I., Omoegun, G. O., Fadayomi, O., & Bello, A. D. (2023) · International Journal of Multidisciplinary Research and Growth Evaluation

Spam and Phishing DetectionImbalanced Data Classification Techniques

Cited by 13

Beyond Medical Imaging - A Review of Multimodal Deep Learning in Radiology

Heiliger, L., Sekuboyina, A., Menze, B., Egger, J., & Kleesiek, J. (2022)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 13

The pros and cons of Unix and Windows security policies

Viega, J., & Voas, J. (2000) · IT Professional

Security and Verification in ComputingAccess Control and Trust

Cited by 13

Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults

Casagrande, F. D., Torresen, J., & Zouganeli, E. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsIoT-based Smart Home Systems

Cited by 13

A deep fusion model for human $vs$. Machine-generated essay classification

Corizzo, R., & Leal-Arenas, S. (2023) · 2023 International Joint Conference on Neural Networks (IJCNN)

Authorship Attribution and ProfilingTopic Modeling

Cited by 13

Simultaneous Localization and Mapping Using a Novel Dual Quaternion Particle Filter

Li, K., Kurz, G., Bernreiter, L., & Hanebeck, U. D. (2018) · 2018 21st International Conference on Information Fusion (FUSION)

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

Cited by 13

Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm

Sturm, B., Creytens, D., Smits, J., Ooms, A. H. A. G., Eijken, E., Kurpershoek, E., Küsters-Vandevelde, H. V. N., Wauters, C., Blokx, W. A. M., & van der Laak, J. A. W. M. (2022) · Diagnostics

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 13