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Publications

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  • 2020

    • M. Kurt, Y. Yilmaz and X. Wang, "Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings", IEEE Transactions on Pattern Analysis and Machine Intelligence [pdf]
  • 2019

    • M. Kurt, Y. Yilmaz and X. Wang, "Sequential Model-Free Anomaly Detection for Big Data Streams", 57th Annual Allerton Conference on Communication, Control, and Computing [pdf]
    • A. Nassar and Y. Yilmaz, "Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements", IEEE Access [pdf]
    • S. Shuvo and Y. Yilmaz, "Scenario Planning for Sea Level Rise via Reinforcement Learning", IEEE Global Conference on Signal and Information Processing (GlobalSIP) [pdf]
    • A. Nassar and Y. Yilmaz, "Dynamic Network Slicing for Fog Radio Access Networks", IEEE Global Conference on Signal and Information Processing (GlobalSIP) [pdf]
    • M. Aktukmak, Y. Yilmaz and I. Uysal, "A Probabilistic Framework to Incorporate Mixed-Data Type Features: Matrix Factorization with Multimodal Side Information", Neurocomputing [pdf]
    • M. Mozaffari and Y. Yilmaz, "Online Anomaly Detection in Multivariate Settings", IEEE International Workshop on Machine Learning for Signal Processing (MLSP) [pdf]
    • M. Kurt, Y. Yilmaz and X. Wang, "Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids", IEEE Transactions on Information Forensics and Security, [pdf]
    • M. Aktukmak, Y. Yilmaz and I. Uysal, "Quick and Accurate Attack Detection in Recommender Systems through User Attributes", ACM Conference on Recommender Systems, 2019 [pdf] *Best Paper Award Runner-up
    • K. Doshi, M. Mozaffari and Y. Yilmaz, "RAPID: Real-time Anomaly-based Preventive Intrusion Detection", ACM Workshop on Wireless Security and Machine Learning (WiseML), 2019 [pdf]
    • M. Kurt, Y. Yilmaz and X. Wang, "Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid", IEEE Transactions on Information Forensics and Security, vol. 14, no. 2, pp. 498-513, Feb. 2019 [pdf]
    • E. Hou, Y. Yilmaz and A. Hero, "Anomaly Detection in Partially Observed Traffic Networks", IEEE Transactions on Signal Processing, 2019 [pdf]
    • H. Ali, S. Liu, Y. Yilmaz, A. Hero, R. Couillet and I. Rajapakse, "Latent Heterogeneous Multilayer Community Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [pdf]
    • A. Nassar and Y. Yilmaz, "Resource Allocation in Fog RAN for Heterogeneous IoT Environments based on Reinforcement Learning", IEEE International Conference on Communications (ICC), 2019 [pdf]
    • Y. Yilmaz and S. Uludag, "Timely Detection and Mitigation of IoT-based Cyberattacks in the Smart Grid", Journal of the Franklin Institute, Elsevier, 2019 [pdf]
    • M. Schlafly, Y. Yilmaz and K. Reed, "Feature Selection in Gait Classiffication of Leg Length and Distal Mass", Informatics in Medicine Unlocked, Elsevier, 2019 [link]
  • 2018

    • Y. Yilmaz, M. Kurt and X. Wang, "Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks", IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 3, pp. 599-612, Sep. 2018 [pdf]
    • M. Kurt, Y. Yilmaz and X. Wang, "Distributed Quickest Detection of Cyber-Attacks in Smart Grid", IEEE Transactions on Information Forensics and Security, vol. 13, no. 8, pp. 2015-2030, Aug. 2018 [pdf]
    • Y. Yilmaz and A. Hero, "Multimodal Event Detection in Twitter Hashtag Networks", Journal of Signal Processing Systems, vol. 90, no. 2, pp. 185-200, Feb. 2018 [pdf]
    • A. Haydari and Y. Yilmaz, "Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems", IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018 [pdf]
  • 2017

    • Y. Yilmaz and S. Uludag, "Mitigating IoT-based Cyberattacks on the Smart Grid", IEEE International Conference on Machine Learning and Applications (ICMLA), 2017 [pdf]
    • Y. Yilmaz, "Online Nonparametric Anomaly Detection based on Geometric Entropy Minimization", IEEE International Symposium on Information Theory (ISIT), 2017 [pdf]