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).
Publications
2026
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., 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.
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.
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.