Publications

Murad, M.M., and Y. Yilmaz. 2026. “Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series”. International Conference on Machine Learning (ICML).

Ranstrom, T., O. Jebreil, F. Razak, Y. Yilmaz, and G. Mumcu. 2026. “Analytical and Experimental Validation of Wireless Authentication through Enhanced RF Fingerprints of Chaotic Antenna Arrays”. IEEE Transactions on Information Forensics and Security.

Karim, H., and Y. Yilmaz. 2026. “SemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection. Transactions on Machine Learning Research”. Transactions on Machine Learning Research.

Mumcu, F., M. Jones, A. Cherian, and Y. Yilmaz. 2026. “Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection”. Transactions on Machine Learning Research.

Ahmed, S., N. Parker, M. Park, D. Jeong, L.C. Peres, E.W. Davis, J.B. Permuth, et al. 2026. “Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarkerfor Cancer Cachexia Diagnosis”. Cells.

Mumcu, F., L. Bekit, M. Jones, A. Cherian, and Y. Yilmaz. 2026. “Language Models in Video Anomaly Detection: A Dynamic Survey”. IEEE Access.

Murad, M.M., B. Turgut, and Y. Yilmaz. 2026. “Mix&Fix-Net: A Dual-Stage Trajectory Prediction Model for AIS and Vision-Derived Vessel Data”. Ocean Engineering.

Gulle, H., F. Mumcu, A. Goodrich, L. Bekit, P. Haksal, W. Johnson, I. Davis, and Y. Yilmaz. 2026. “Automated Segmentation of Intrinsic Foot Muscles in Ultrasound Using Deep Neural Networks: Development and Validation Study”. Ultrasound in Medicine & Biology.

Mumcu, Furkan, Lokman Bekit, M. Jones, A. Cherian, and Y. Yilmaz. 2026. “Agentic AI-Empowered Dynamic Survey Framework”. In The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS).

Razak, Fawaz Abdul, and Yasin Yilmaz. 2026. “Dynamic and Open-Set RF Fingerprinting and Localization in Crowded Indoor Environments through Contrastive Channel State Information Learning”. ArXiv Preprint ArXiv:2605.15593.

Karim, Hamza, Nghia Nguyen, Lokman Bekit, and Yasin Yilmaz. 2026. “Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection”. ArXiv Preprint ArXiv:2606.29498.

Nguyen, Nghia T, Lokman Bekit, and Yasin Yilmaz. 2026. “SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving”. ArXiv Preprint ArXiv:2606.31875.

Mumcu, Furkan, and Yasin Yilmaz. 2026. “Submission Responsibility Matters: Role-Aware Submission Quotas under Coauthorship”. ArXiv Preprint ArXiv:2606.30285.

Mumcu, Furkan, Michael J Jones, Anoop Cherian, and Yasin Yilmaz. 2026. “Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models”. ArXiv Preprint ArXiv:2605.12725.

Yilmaz, Yasin, Hana Kim, William Scott Burgin, and Kung-Khoon QUAH. (2026) 2026. “Personalized Aphasia Communication Assistant System.”

Yilmaz, Yasin, and Furkan Mumcu. (2026) 2026. “System and Method for Detecting Adversarial Examples.”

Mumcu, Furkan, and Yasin Yilmaz. 2026. “Detecting Adversarial Data via Provable Adversarial Noise Amplification”. ArXiv Preprint ArXiv:2605.02109.

Bekit, Lokman, Hamza Karim, Nghia T Nguyen, and Yasin Yilmaz. 2026. “Qvad: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection”. ArXiv Preprint ArXiv:2604.03040.

McMillen, Justin, Robert Van Alphen, Taha Sadeghi Chorsi, Jason Shabaga, Mel Rodgers, Rocco Malservisi, Timothy Dixon, and Yasin Yilmaz. 2026. “Preserving Vertical Structure in 3D-to-2D Projection for Permafrost Thaw Mapping”. ArXiv Preprint ArXiv:2603.16788.

Tripathi, Aakash Gireesh, Asim Waqas, Evan W Davis, Jennifer B Permuth, Jack Farinhas, Yasin Yilmaz, Matthew B Schabath, and Ghulam Rasool. 2026. “Real-World Evaluation of Multimodal AI: Foundation Model-Driven Multimodal AI for GBM, NSCLC, and PDAC.”. Cancer Research 86 (7_Supplement): 1251–1251.

Mumcu, Furkan, and Yasin Yilmaz. 2026. “Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization”. ArXiv Preprint ArXiv:2603.04378.

Mumcu, Furkan, and Yasin Yilmaz. 2026. “Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems”. ArXiv Preprint ArXiv:2602.14471.

Mumcu, Furkan, Lokman Bekit, Michael J Jones, Anoop Cherian, and Yasin Yilmaz. 2026. “Agentic Ai-Empowered Dynamic Survey Framework”. ArXiv Preprint ArXiv:2602.04071.

Abudalou, Shatha, Jung Choi, Kenneth Gage, Julio Pow-Sang, Yasin Yilmaz, and Yoganand Balagurunathan. 2026. “Challenges in Using Deep Neural Networks Across Multiple Readers in Delineating Prostate Gland Anatomy”. Journal of Imaging Informatics in Medicine 39 (1): 532–547.

Murad, M., M. Aktukmak, and Y. Yilmaz. 2025. “Wpmixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting”. In AAAI Conference on Artificial Intelligence.

Abudalou, Shatha, Jung Choi, Yasin Yilmaz, and Yoganand Balagurunathan. 2025. “Improving Prostate Gland Segmentation Using Transformer Based Architectures”. ArXiv Preprint ArXiv:2506.14844.

Koutsoubis, Nikolas, Asim Waqas, Yasin Yilmaz, Ravi P Ramachandran, Matthew B Schabath, and Ghulam Rasool. 2025. “Optimizing the Trade-off Between Privacy and Utility in Medical Imaging Federated Learning Reply”. RADIOLOGY-ARTIFICIAL INTELLIGENCE 7 (4).

Pendino, Aaron, Nghia Nguyen, Saif Nouma, Jing Wang, Attila Yavuz, Yasin Yilmaz, and Gokhan Mumcu. 2025. “Additively Manufactured RF Electronics With Structurally Integrated Physically Unclonable Functions for Wireless System Security”. IEEE Access.

McMillen, Justin, and Yasin Yilmaz. 2025. “SegGen: An Unreal Engine 5 Pipeline for Generating Multimodal Semantic Segmentation Datasets”. Sensors 25 (17): 5569.

Mumcu, Furkan, and Yasin Yilmaz. 2025. “Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers”. Transactions on Machine Learning Research (TMLR).