Yasin Yilmaz - RankMe

139 papers A* 2A 5B 7C 2Misc 1Journal 92Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic AI-Empowered Dynamic Survey Framework. CoRR Furkan Mumcu, Lokman Bekit, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2026	J	`jnl`	Analytical and Experimental Validation of Wireless Authentication Through Enhanced RF Fingerprints of Chaotic Antenna Arrays. IEEE Trans. Inf. Forensics Secur. Thomas Ranström, Omar Jebreil, Fawaz Abdul Razak, Yasin Yilmaz, Gokhan Mumcu
2026	J	`jnl`	Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection. Trans. Mach. Learn. Res. Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2026	J	`jnl`	Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization. CoRR Furkan Mumcu, Yasin Yilmaz
2026	J	`jnl`	SemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection. Trans. Mach. Learn. Res. Hamza Karim, Yasin Yilmaz
2026	J	`jnl`	Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems. CoRR Furkan Mumcu, Yasin Yilmaz
2025	J	`jnl`	Additively Manufactured RF Electronics With Structurally Integrated Physically Unclonable Functions for Wireless System Security. IEEE Access Aaron Pendino, Nghia Nguyen, Saif E. Nouma, Jing Wang, Attila A. Yavuz, Yasin Yilmaz, Gökhan Mumcu
2025	—	`conf`	Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours. WACV (Workshops) Md Mahmuddun Nabi Murad, Bora San Turgut, Awwab Ahmed, Gokhan Camliyurt, Yasin Yilmaz
2025	J	`jnl`	Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series. CoRR Md Mahmuddun Nabi Murad, Yasin Yilmaz
2025	—	`conf`	ComplexVAD: Detecting Interaction Anomalies in Video. WACV (Workshops) Furkan Mumcu, Michael J. Jones, Yasin Yilmaz, Anoop Cherian
2025	J	`jnl`	ComplexVAD: Detecting Interaction Anomalies in Video. CoRR Furkan Mumcu, Michael J. Jones, Yasin Yilmaz, Anoop Cherian
2025	J	`jnl`	EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis. CoRR Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	—	`conf`	FuseForm: Multimodal Transformer for Semantic Segmentation. WACV (Workshops) Justin McMillen, Yasin Yilmaz
2025	J	`jnl`	HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings. npj Digit. Medicine Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Hardware and Deep Learning-Based Authentication Through Enhanced RF Fingerprints of 3D-Printed Chaotic Antenna Arrays. IEEE Access Justin McMillen, Fawaz Abdul Razak, Gokhan Mumcu, Yasin Yilmaz
2025	—	`conf`	Invisibility Cloak: Hiding Anomalies in Videos via Adversarial Machine Learning Attacks. WACV (Workshops) Hamza Karim, Yasin Yilmaz
2025	J	`jnl`	LLM-Guided Agentic Object Detection for Open-World Understanding. CoRR Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2025	J	`jnl`	Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection. CoRR Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz
2025	B	`conf`	Multi-Resolution Mixer Network for Localization of Multiple Sensors from Cumulative Power Measurements. WCNC Md Mahmuddun Nabi Murad, Daniel Kwabena Yirenya-Tawiah, Thomas Weller, Yasin Yilmaz
2025	J	`jnl`	Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia. CoRR Sabeen Ahmed, Nathan Parker, Margaret Park, Evan W. Davis, Jennifer B. Permuth, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia Diagnosis. CoRR Sabeen Ahmed, Nathan Parker, Margaret Park, Daniel Jeong, Lauren Peres, Evan W. Davis, Jennifer B. Permuth, Erin Siegel, Matthew B. Schabath, Yasin Yilmaz, Ghulam Rasool
2025	J	`jnl`	Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers. CoRR Furkan Mumcu, Yasin Yilmaz
2025	J	`jnl`	Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers. Trans. Mach. Learn. Res. Furkan Mumcu, Yasin Yilmaz
2025	A*	`conf`	WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting. AAAI Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz
2024	J	`jnl`	Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. Sensors Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2024	J	`jnl`	DeepQCD: An end-to-end deep learning approach to quickest change detection. J. Frankl. Inst. Mehmet Necip Kurt, Jiahao Zheng, Yasin Yilmaz, Xiaodong Wang
2024	J	`jnl`	Detecting Adversarial Examples. CoRR Furkan Mumcu, Yasin Yilmaz
2024	J	`jnl`	Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. CoRR Nikolas Koutsoubis, Asim Waqas, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool
2024	J	`jnl`	HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. CoRR Aakash Tripathi, Asim Waqas, Yasin Yilmaz, Ghulam Rasool
2024	—	`conf`	Multimodal Attack Detection for Action Recognition Models. CVPR Workshops Furkan Mumcu, Yasin Yilmaz
2024	J	`jnl`	Multimodal Attack Detection for Action Recognition Models. CoRR Furkan Mumcu, Yasin Yilmaz
2024	J	`jnl`	Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. CoRR Nikolas Koutsoubis, Yasin Yilmaz, Ravi P. Ramachandran, Matthew B. Schabath, Ghulam Rasool
2024	A	`conf`	Real-Time Weakly Supervised Video Anomaly Detection. WACV Hamza Karim, Keval Doshi, Yasin Yilmaz
2024	J	`jnl`	Sequential architecture-agnostic black-box attack design and analysis. Pattern Recognit. Furkan Mumcu, Yasin Yilmaz
2024	J	`jnl`	WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting. CoRR Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz
2023	J	`jnl`	Any-Shot Learning From Multimodal Observations (ALMO). IEEE Access Mehmet Aktukmak, Yasin Yilmaz, Alfred O. Hero III
2023	J	`jnl`	Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets. CoRR Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
2023	—	`conf`	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks. Allerton Mehmet Necip Kurt, Xiaodong Wang, Pieter J. Mosterman, Yasin Yilmaz
2023	J	`jnl`	Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays. CoRR Justin McMillen, Gokhan Mumcu, Yasin Yilmaz
2023	J	`jnl`	Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load. IEEE Trans. Smart Grid Salman Sadiq Shuvo, Yasin Yilmaz
2023	J	`jnl`	Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events. IEEE J. Biomed. Health Informatics Salman Sadiq Shuvo, Hasan Symum, Md Rubel Ahmed, Yasin Yilmaz, José Zayas-Castro
2023	—	`conf`	Privacy-Preserving Video Understanding via Transformer-based Federated Learning. DSC Keval Doshi, Yasin Yilmaz
2023	—	`conf`	Semantic Video Transformer for Robust Action Recognition. DSC Keval Doshi, Yasin Yilmaz
2023	J	`jnl`	Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks Gianluca Tabella, Domenico Ciuonzo, Yasin Yilmaz, Xiaodong Wang, Pierluigi Salvo Rossi
2023	A	`conf`	Towards Interpretable Video Anomaly Detection. WACV Keval Doshi, Yasin Yilmaz
2023	—	`conf`	Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CVPR Workshops Keval Doshi, Yasin Yilmaz
2022	A	`conf`	A Modular and Unified Framework for Detecting and Localizing Video Anomalies. WACV Keval Doshi, Yasin Yilmaz
2022	—	`conf`	Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CVPR Workshops Furkan Mumcu, Keval Doshi, Yasin Yilmaz
2022	J	`jnl`	Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CoRR Furkan Mumcu, Keval Doshi, Yasin Yilmaz
2022	J	`jnl`	Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities. IEEE Internet Things J. Almuthanna T. Nassar, Yasin Yilmaz
2022	J	`jnl`	Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. Ammar Haydari, Yasin Yilmaz
2022	B	`conf`	Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities. IEEE Big Data Mustafa Çoban, Semih Yumusak, Yasin Yilmaz, Hüseyin Oktay Altun
2022	—	`conf`	Federated Learning-based Driver Activity Recognition for Edge Devices. CVPR Workshops Keval Doshi, Yasin Yilmaz
2022	J	`jnl`	Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method Based on Residents' Feedback and Activity. IEEE Trans. Smart Grid Salman Sadiq Shuvo, Yasin Yilmaz
2022	J	`jnl`	Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen
2022	—	`conf`	Multi-Task Learning for Video Surveillance with Limited Data. CVPR Workshops Keval Doshi, Yasin Yilmaz
2022	J	`jnl`	Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. Sensors Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz
2022	J	`jnl`	Online Privacy-Preserving Data-Driven Network Anomaly Detection. IEEE J. Sel. Areas Commun. Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang, Pieter J. Mosterman
2022	J	`jnl`	RSU-Based Online Intrusion Detection and Mitigation for VANET. CoRR Ammar Haydari, Yasin Yilmaz
2022	J	`jnl`	RSU-Based Online Intrusion Detection and Mitigation for VANET. Sensors Ammar Haydari, Yasin Yilmaz
2022	J	`jnl`	Real-Time Detection and Classification of Power Quality Disturbances. Sensors Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz
2022	A	`conf`	Rethinking Video Anomaly Detection - A Continual Learning Approach. WACV Keval Doshi, Yasin Yilmaz
2022	B	`conf`	Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. IJCNN Keval Doshi, Shatha Abudalou, Yasin Yilmaz
2022	J	`jnl`	TiSAT: Time Series Anomaly Transformer. CoRR Keval Doshi, Shatha Abudalou, Yasin Yilmaz
2022	J	`jnl`	Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CoRR Keval Doshi, Yasin Yilmaz
2021	J	`jnl`	A Modular and Unified Framework for Detecting and Localizing Video Anomalies. CoRR Keval Doshi, Yasin Yilmaz
2021	J	`jnl`	An Efficient Approach for Anomaly Detection in Traffic Videos. CoRR Keval Doshi, Yasin Yilmaz
2021	B	`conf`	Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning. IJCNN Salman Sadiq Shuvo, Md Rubel Ahmed, Hasan Symum, Yasin Yilmaz
2021	J	`jnl`	Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models. IEEE Trans. Signal Process. Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero III
2021	J	`jnl`	Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models. CoRR Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero III
2021	J	`jnl`	Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate. Pattern Recognit. Keval Doshi, Yasin Yilmaz
2021	J	`jnl`	Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. IEEE Trans. Pattern Anal. Mach. Intell. Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2021	J	`jnl`	Sequential Attack Detection in Recommender Systems. IEEE Trans. Inf. Forensics Secur. Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal
2021	J	`jnl`	Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks. IEEE Trans. Dependable Secur. Comput. Keval Doshi, Yasin Yilmaz, Suleyman Uludag
2021	J	`jnl`	Timely detection and mitigation of IoT-based cyberattacks in the smart grid. J. Frankl. Inst. Yasin Yilmaz, Suleyman Uludag
2020	A*	`conf`	A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change. ICML Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen
2020	—	`conf`	Any-Shot Sequential Anomaly Detection in Surveillance Videos. CVPR Workshops Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Any-Shot Sequential Anomaly Detection in Surveillance Videos. CoRR Keval Doshi, Yasin Yilmaz
2020	—	`conf`	Continual Learning for Anomaly Detection in Surveillance Videos. CVPR Workshops Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Continual Learning for Anomaly Detection in Surveillance Videos. CoRR Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities. CoRR Almuthanna T. Nassar, Yasin Yilmaz
2020	J	`jnl`	Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. CoRR Ammar Haydari, Yasin Yilmaz
2020	—	`conf`	Fast Unsupervised Anomaly Detection in Traffic Videos. CVPR Workshops Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate. CoRR Keval Doshi, Yasin Yilmaz
2020	—	`conf`	Predictive Maintenance for Increasing EV Charging Load in Distribution Power System. SmartGridComm Salman Sadiq Shuvo, Yasin Yilmaz
2020	—	`conf`	Road Damage Detection using Deep Ensemble Learning. IEEE BigData Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Road Damage Detection using Deep Ensemble Learning. CoRR Keval Doshi, Yasin Yilmaz
2020	J	`jnl`	Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. IEEE Trans. Inf. Forensics Secur. Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2020	J	`jnl`	Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks. CoRR Keval Doshi, Yasin Yilmaz, Suleyman Uludag
2019	J	`jnl`	A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information. Neurocomputing Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal
2019	J	`jnl`	Anomaly Detection in Partially Observed Traffic Networks. IEEE Trans. Signal Process. Elizabeth Hou, Yasin Yilmaz, Alfred O. Hero III
2019	—	`conf`	Dynamic Network Slicing for Fog Radio Access Networks. GlobalSIP Almuthanna T. Nassar, Yasin Yilmaz
2019	J	`jnl`	Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT. IEEE Internet Things J. Kai Yang, Sijia Liu, Lin Cai, Yasin Yilmaz, Pin-Yu Chen, Anwar Walid
2019	Misc	`conf`	Latent Heterogeneous Multilayer Community Detection. ICASSP Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III
2019	—	`conf`	Online Anomaly Detection in Multivariate Settings. MLSP Mahsa Mozaffari, Yasin Yilmaz
2019	J	`jnl`	Online Multivariate Anomaly Detection and Localization for High-dimensional Settings. CoRR Mahsa Mozaffari, Yasin Yilmaz
2019	A	`conf`	Quick and accurate attack detection in recommender systems through user attributes. RecSys Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal
2019	—	`conf`	RAPID: Real-time Anomaly-based Preventive Intrusion Detection. WiseML@WiSec Keval Doshi, Mahsa Mozaffari, Yasin Yilmaz
2019	J	`jnl`	Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid. IEEE Trans. Inf. Forensics Secur. Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2019	J	`jnl`	Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements. IEEE Access Almuthanna T. Nassar, Yasin Yilmaz
2019	—	`conf`	Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement Learning. ICC Almuthanna T. Nassar, Yasin Yilmaz
2019	—	`conf`	Scenario Planning for Sea Level Rise via Reinforcement Learning. GlobalSIP Salman S. Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen
2019	J	`jnl`	Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. CoRR Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2019	—	`conf`	Sequential Model-Free Anomaly Detection for Big Data Streams. Allerton Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2018	J	`jnl`	Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks. IEEE Trans. Signal Inf. Process. over Networks Yasin Yilmaz, Mehmet Necip Kurt, Xiaodong Wang
2018	J	`jnl`	Distributed Quickest Detection of Cyber-Attacks in Smart Grid. IEEE Trans. Inf. Forensics Secur. Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2018	J	`jnl`	Latent heterogeneous multilayer community detection. CoRR Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse
2018	J	`jnl`	Multimodal Event Detection in Twitter Hashtag Networks. J. Signal Process. Syst. Yasin Yilmaz, Alfred O. Hero III
2018	—	`conf`	Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems. ITSC Ammar Haydari, Yasin Yilmaz
2018	J	`jnl`	Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid. CoRR Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2018	J	`jnl`	Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. CoRR Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
2018	J	`jnl`	Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments. CoRR Almuthanna T. Nassar, Yasin Yilmaz
2017	C	`conf`	Mitigating IoT-based Cyberattacks on the Smart Grid. ICMLA Yasin Yilmaz, Suleyman Uludag
2017	B	`conf`	Online nonparametric anomaly detection based on geometric entropy minimization. ISIT Yasin Yilmaz
2016	J	`jnl`	Multimodal Event Detection in Twitter Hashtag Networks. CoRR Yasin Yilmaz, Alfred O. Hero III
2016	J	`jnl`	Sequential Joint Detection and Estimation: Optimum Tests and Applications. IEEE Trans. Signal Process. Yasin Yilmaz, Shang Li, Xiaodong Wang
2016	J	`jnl`	Sequential and decentralized estimation of linear-regression parameters in wireless sensor networks. IEEE Trans. Aerosp. Electron. Syst. Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2016	J	`jnl`	Transmitter-Centric Channel Estimation and Low-PAPR Precoding for Millimeter-Wave MIMO Systems. IEEE Trans. Commun. Ziyu Guo, Yasin Yilmaz, Xiaodong Wang
2015	—	`conf`	Multimodal factor analysis. MLSP Yasin Yilmaz, Alfred O. Hero III
2015	J	`jnl`	Quickest Detection of False Data Injection Attack in Wide-Area Smart Grids. IEEE Trans. Smart Grid Shang Li, Yasin Yilmaz, Xiaodong Wang
2015	—	`conf`	Sequential cyber-attack detection in the large-scale smart grid system. SmartGridComm Shang Li, Yasin Yilmaz, Xiaodong Wang
2015	J	`jnl`	The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. Signal Process. Muhammed O. Sayin, Yasin Yilmaz, Alper Demir, Suleyman Serdar Kozat
2014	J	`jnl`	Sequential Decentralized Parameter Estimation Under Randomly Observed Fisher Information. IEEE Trans. Inf. Theory Yasin Yilmaz, Xiaodong Wang
2014	J	`jnl`	Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks. IEEE Trans. Signal Process. Yasin Yilmaz, Xiaodong Wang
2014	J	`jnl`	Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access. CoRR Yasin Yilmaz, Ziyu Guo, Xiaodong Wang
2014	J	`jnl`	Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access. IEEE J. Sel. Areas Commun. Yasin Yilmaz, Ziyu Guo, Xiaodong Wang
2013	B	`conf`	Asymptotically optimal and bandwith-efficient decentralized detection. ISIT Yasin Yilmaz, Xiaodong Wang
2013	J	`jnl`	Channel-Aware Decentralized Detection via Level-Triggered Sampling. IEEE Trans. Signal Process. Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2013	J	`jnl`	Optimal Sequential Vector Estimation CoRR Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2013	B	`conf`	Optimal sequential parameter estimation. ISIT Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2012	J	`jnl`	Channel-aware Decentralized Detection via Level-triggered Sampling CoRR Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2012	J	`jnl`	Cooperative Sequential Spectrum Sensing Based on Level-Triggered Sampling. IEEE Trans. Signal Process. Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2012	—	`conf`	Sequential decentralized detection under noisy channels. Allerton Conference Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2011	J	`jnl`	Cooperative Sequential Spectrum Sensing Based on Level-triggered Sampling CoRR Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2011	—	`conf`	Spectrum sensing via event-triggered sampling. ACSCC Yasin Yilmaz, George V. Moustakides, Xiaodong Wang
2010	J	`jnl`	Competitive Randomized Nonlinear Prediction Under Additive Noise. IEEE Signal Process. Lett. Yasin Yilmaz, Suleyman Serdar Kozat
2009	C	`conf`	An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. ICMLA Yasin Yilmaz, Suleyman Serdar Kozat
2004	—	`conf`	Developing Finite State NLP Systems with a Graphical Environment. ISCIS Kemal Oflazer, Yasin Yilmaz
2004	—	`conf`	Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool. SIGMORPHON@ACL Kemal Oflazer, Yasin Yilmaz