Publications

Mozaffari, Mahsa, Keval Doshi, and Yasin Yilmaz. (2024) 2024. “System and Method for Online Multivariate Anomaly Detection and Localization.”

Kurt, Mehmet Necip, Jiaohao Zheng, Yasin Yilmaz, and Xiaodong Wang. 2024. “DeepQCD: An End-to-End Deep Learning Approach to Quickest Change Detection”. Journal of the Franklin Institute 361 (18): 107199.

Yilmaz, Yasin, and Gokhan Mumcu. (2024) 2024. “Hardware and Deep Learning Based Authentication through Enhanced Rf Fingerprinting.”

Mumcu, Furkan, and Yasin Yilmaz. 2024. “Fast and Lightweight Vision-Language Model for Adversarial Traffic Sign Detection”. Electronics 13 (11): 2172.

Tripathi, Aakash, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool. 2024. “Multimodal Transformer Model Improves Survival Prediction in Lung Cancer Compared to Unimodal Approaches”. Cancer Research 84 (6_Supplement): 4905–4905.

Mumcu, Furkan, and Yasin Yilmaz. 2024. “Sequential Architecture-Agnostic Black-Box Attack Design and Analysis”. Pattern Recognition 147: 110066.

Nassar, Almuthanna, and Yasin Yilmaz. 2024. “Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities.”

Tripathi, Aakash, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, and Ghulam Rasool. 2024. “Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets”. Sensors 24 (5): 1634.

Yilmaz, Yasin, Thomas Weller, Jeff Frolik, and Radim Bruzek. 2023. “Autonomous Inspection System Based on Passive Sensing and Anomaly Detection.”

Tabella, Gianluca, Domenico Ciuonzo, Yasin Yilmaz, Xiaodong Wang, and Pierluigi Salvo Rossi. 2023. “Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks”. IEEE Transactions on Signal and Information Processing over Networks 9: 721–735.