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., 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.