Developing Finite State NLP Systems with a Graphical Environment. - Kemal Oflazer; Yasin Yilmaz 001 (ISCIS, 2004)

Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool. - Kemal Oflazer; Yasin Yilmaz 001 (SIGMORPHON@ACL, 2004)

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. - Yasin Yilmaz 001; Suleyman Serdar Kozat (ICMLA, 2009)

Competitive Randomized Nonlinear Prediction Under Additive Noise. - Yasin Yilmaz 001; Suleyman Serdar Kozat (IEEE Signal Process. Lett., 2010)

Spectrum sensing via event-triggered sampling. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (ACSCC, 2011)

Sequential decentralized detection under noisy channels. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (Allerton Conference, 2012)

Cooperative Sequential Spectrum Sensing Based on Level-Triggered Sampling. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2012)

Optimal sequential parameter estimation. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (ISIT, 2013)

Asymptotically optimal and bandwith-efficient decentralized detection. - Yasin Yilmaz 001; Xiaodong Wang 001 (ISIT, 2013)

Optimal Sequential Vector Estimation - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (CoRR, 2013)

Channel-Aware Decentralized Detection via Level-Triggered Sampling. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2013)

Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access. - Yasin Yilmaz 001; Ziyu Guo; Xiaodong Wang 001 (IEEE J. Sel. Areas Commun., 2014)

Sequential Decentralized Parameter Estimation Under Randomly Observed Fisher Information. - Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Inf. Theory, 2014)

Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks. - Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2014)

Multimodal factor analysis. - Yasin Yilmaz 001; Alfred O. Hero III (MLSP, 2015)

Sequential cyber-attack detection in the large-scale smart grid system. - Shang Li 002; Yasin Yilmaz 001; Xiaodong Wang 001 (SmartGridComm, 2015)

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. - Muhammed O. Sayin; Yasin Yilmaz 001; Alper Demir 001; Suleyman Serdar Kozat (Signal Process., 2015)

Quickest Detection of False Data Injection Attack in Wide-Area Smart Grids. - Shang Li 002; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Smart Grid, 2015)

Sequential and decentralized estimation of linear-regression parameters in wireless sensor networks. - Yasin Yilmaz 001; George V. Moustakides; Xiaodong Wang 001 (IEEE Trans. Aerosp. Electron. Syst., 2016)

Transmitter-Centric Channel Estimation and Low-PAPR Precoding for Millimeter-Wave MIMO Systems. - Ziyu Guo; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Commun., 2016)

Sequential Joint Detection and Estimation: Optimum Tests and Applications. - Yasin Yilmaz 001; Shang Li 002; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2016)

Mitigating IoT-based Cyberattacks on the Smart Grid. - Yasin Yilmaz 001; Suleyman Uludag (ICMLA, 2017)

Online nonparametric anomaly detection based on geometric entropy minimization. - Yasin Yilmaz 001 (ISIT, 2017)

Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems. - Ammar Haydari; Yasin Yilmaz 001 (ITSC, 2018)

Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments. - Almuthanna T. Nassar; Yasin Yilmaz 001 (CoRR, 2018)

Distributed Quickest Detection of Cyber-Attacks in Smart Grid. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Inf. Forensics Secur., 2018)

Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks. - Yasin Yilmaz 001; Mehmet Necip Kurt; Xiaodong Wang 001 (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Multimodal Event Detection in Twitter Hashtag Networks. - Yasin Yilmaz 001; Alfred O. Hero III (J. Signal Process. Syst., 2018)

Sequential Model-Free Anomaly Detection for Big Data Streams. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001 (Allerton, 2019)

Dynamic Network Slicing for Fog Radio Access Networks. - Almuthanna T. Nassar; Yasin Yilmaz 001 (GlobalSIP, 2019)

Scenario Planning for Sea Level Rise via Reinforcement Learning. - Salman S. Shuvo; Yasin Yilmaz 001; Alan Bush; Mark Hafen (GlobalSIP, 2019)

Latent Heterogeneous Multilayer Community Detection. - Hafiz Tiomoko Ali; Sijia Liu 001; Yasin Yilmaz 001; Romain Couillet; Indika Rajapakse; Alfred O. Hero III (ICASSP, 2019)

Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement Learning. - Almuthanna T. Nassar; Yasin Yilmaz 001 (ICC, 2019)

Online Anomaly Detection in Multivariate Settings. - Mahsa Mozaffari; Yasin Yilmaz 001 (MLSP, 2019)

Quick and accurate attack detection in recommender systems through user attributes. - Mehmet Aktukmak; Yasin Yilmaz 001; Ismail Uysal (RecSys, 2019)

RAPID: Real-time Anomaly-based Preventive Intrusion Detection. - Keval Doshi; Mahsa Mozaffari; Yasin Yilmaz 001 (WiseML@WiSec, 2019)

Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements. - Almuthanna T. Nassar; Yasin Yilmaz 001 (IEEE Access, 2019)

Online Multivariate Anomaly Detection and Localization for High-dimensional Settings. - Mahsa Mozaffari; Yasin Yilmaz 001 (CoRR, 2019)

A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information. - Mehmet Aktukmak; Yasin Yilmaz 001; Ismail Uysal (Neurocomputing, 2019)

Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT. - Kai Yang 001; Sijia Liu 001; Lin Cai 001; Yasin Yilmaz 001; Pin-Yu Chen; Anwar Walid (IEEE Internet Things J., 2019)

Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Inf. Forensics Secur., 2019)

Anomaly Detection in Partially Observed Traffic Networks. - Elizabeth Hou; Yasin Yilmaz 001; Alfred O. Hero III (IEEE Trans. Signal Process., 2019)

Road Damage Detection using Deep Ensemble Learning. - Keval Doshi; Yasin Yilmaz 001 (IEEE BigData, 2020)

Continual Learning for Anomaly Detection in Surveillance Videos. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2020)

Fast Unsupervised Anomaly Detection in Traffic Videos. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2020)

Any-Shot Sequential Anomaly Detection in Surveillance Videos. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2020)

A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change. - Salman Sadiq Shuvo; Yasin Yilmaz 001; Alan Bush; Mark Hafen (ICML, 2020)

Predictive Maintenance for Increasing EV Charging Load in Distribution Power System. - Salman Sadiq Shuvo; Yasin Yilmaz 001 (SmartGridComm, 2020)

Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate. - Keval Doshi; Yasin Yilmaz 001 (CoRR, 2020)

Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning. - Salman Sadiq Shuvo; Md Rubel Ahmed; Hasan Symum; Yasin Yilmaz 001 (IJCNN, 2021)

An Efficient Approach for Anomaly Detection in Traffic Videos. - Keval Doshi; Yasin Yilmaz 001 (CoRR, 2021)

Timely detection and mitigation of IoT-based cyberattacks in the smart grid. - Yasin Yilmaz 001; Suleyman Uludag (J. Frankl. Inst., 2021)

Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate. - Keval Doshi; Yasin Yilmaz 001 (Pattern Recognit., 2021)

Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks. - Keval Doshi; Yasin Yilmaz 001; Suleyman Uludag (IEEE Trans. Dependable Secur. Comput., 2021)

Sequential Attack Detection in Recommender Systems. - Mehmet Aktukmak; Yasin Yilmaz 001; Ismail Uysal (IEEE Trans. Inf. Forensics Secur., 2021)

Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models. - Yasin Yilmaz 001; Mehmet Aktukmak; Alfred O. Hero III (IEEE Trans. Signal Process., 2021)

Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities. - Mustafa Çoban; Semih Yumusak; Yasin Yilmaz 001; Hüseyin Oktay Altun (IEEE Big Data, 2022)

Federated Learning-based Driver Activity Recognition for Edge Devices. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2022)

Multi-Task Learning for Video Surveillance with Limited Data. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2022)

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. - Furkan Mumcu; Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2022)

Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. - Keval Doshi; Shatha Abudalou; Yasin Yilmaz 001 (IJCNN, 2022)

A Modular and Unified Framework for Detecting and Localizing Video Anomalies. - Keval Doshi; Yasin Yilmaz 001 (WACV, 2022)

Rethinking Video Anomaly Detection - A Continual Learning Approach. - Keval Doshi; Yasin Yilmaz 001 (WACV, 2022)

TiSAT: Time Series Anomaly Transformer. - Keval Doshi; Shatha Abudalou; Yasin Yilmaz 001 (CoRR, 2022)

Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities. - Almuthanna T. Nassar; Yasin Yilmaz 001 (IEEE Internet Things J., 2022)

Online Privacy-Preserving Data-Driven Network Anomaly Detection. - Mehmet Necip Kurt; Yasin Yilmaz 001; Xiaodong Wang 001; Pieter J. Mosterman (IEEE J. Sel. Areas Commun., 2022)

RSU-Based Online Intrusion Detection and Mitigation for VANET. - Ammar Haydari; Yasin Yilmaz 001 (Sensors, 2022)

Real-Time Detection and Classification of Power Quality Disturbances. - Mahsa Mozaffari; Keval Doshi; Yasin Yilmaz 001 (Sensors, 2022)

Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. - Mahsa Mozaffari; Keval Doshi; Yasin Yilmaz 001 (Sensors, 2022)

Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning. - Salman Sadiq Shuvo; Yasin Yilmaz 001; Alan Bush; Mark Hafen (IEEE Trans. Comput. Soc. Syst., 2022)

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. - Ammar Haydari; Yasin Yilmaz 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method Based on Residents' Feedback and Activity. - Salman Sadiq Shuvo; Yasin Yilmaz 001 (IEEE Trans. Smart Grid, 2022)

Data-Driven Sequential Change Detection in Privacy-Sensitive Networks. - Mehmet Necip Kurt; Xiaodong Wang 001; Pieter J. Mosterman; Yasin Yilmaz 001 (Allerton, 2023)

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. - Keval Doshi; Yasin Yilmaz 001 (CVPR Workshops, 2023)

Privacy-Preserving Video Understanding via Transformer-based Federated Learning. - Keval Doshi; Yasin Yilmaz 001 (DSC, 2023)

Semantic Video Transformer for Robust Action Recognition. - Keval Doshi; Yasin Yilmaz 001 (DSC, 2023)

Towards Interpretable Video Anomaly Detection. - Keval Doshi; Yasin Yilmaz 001 (WACV, 2023)

Any-Shot Learning From Multimodal Observations (ALMO). - Mehmet Aktukmak; Yasin Yilmaz 001; Alfred O. Hero III (IEEE Access, 2023)

Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays. - Justin McMillen; Gokhan Mumcu; Yasin Yilmaz 001 (CoRR, 2023)

Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks. - Gianluca Tabella; Domenico Ciuonzo; Yasin Yilmaz 001; Xiaodong Wang 001; Pierluigi Salvo Rossi (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events. - Salman Sadiq Shuvo; Hasan Symum; Md Rubel Ahmed; Yasin Yilmaz 001; José Zayas-Castro (IEEE J. Biomed. Health Informatics, 2023)

Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load. - Salman Sadiq Shuvo; Yasin Yilmaz 001 (IEEE Trans. Smart Grid, 2023)

Multimodal Attack Detection for Action Recognition Models. - Furkan Mumcu; Yasin Yilmaz 001 (CVPR Workshops, 2024)

Real-Time Weakly Supervised Video Anomaly Detection. - Hamza Karim; Keval Doshi; Yasin Yilmaz 001 (WACV, 2024)

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models. - Aakash Tripathi; Asim Waqas; Yasin Yilmaz 001; Ghulam Rasool 001 (CoRR, 2024)

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation. - Nikolas Koutsoubis; Yasin Yilmaz 001; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review. - Nikolas Koutsoubis; Asim Waqas; Yasin Yilmaz 001; Ravi P. Ramachandran; Matthew B. Schabath; Ghulam Rasool 001 (CoRR, 2024)

Detecting Adversarial Examples. - Furkan Mumcu; Yasin Yilmaz 001 (CoRR, 2024)

DeepQCD: An end-to-end deep learning approach to quickest change detection. - Mehmet Necip Kurt; Jiahao Zheng 002; Yasin Yilmaz 001; Xiaodong Wang 001 (J. Frankl. Inst., 2024)

Sequential architecture-agnostic black-box attack design and analysis. - Furkan Mumcu; Yasin Yilmaz 001 (Pattern Recognit., 2024)

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets. - Aakash Tripathi; Asim Waqas; Kavya Venkatesan; Yasin Yilmaz 001; Ghulam Rasool 001 (Sensors, 2024)

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting. - Md Mahmuddun Nabi Murad; Mehmet Aktukmak; Yasin Yilmaz 001 (AAAI, 2025)

Invisibility Cloak: Hiding Anomalies in Videos via Adversarial Machine Learning Attacks. - Hamza Karim; Yasin Yilmaz 001 (WACV (Workshops), 2025)

FuseForm: Multimodal Transformer for Semantic Segmentation. - Justin McMillen; Yasin Yilmaz 001 (WACV (Workshops), 2025)

ComplexVAD: Detecting Interaction Anomalies in Video. - Furkan Mumcu; Michael J. Jones 001; Yasin Yilmaz 001; Anoop Cherian (WACV (Workshops), 2025)

Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours. - Md Mahmuddun Nabi Murad; Bora San Turgut; Awwab Ahmed; Gokhan Camliyurt; Yasin Yilmaz 001 (WACV (Workshops), 2025)

Multi-Resolution Mixer Network for Localization of Multiple Sensors from Cumulative Power Measurements. - Md Mahmuddun Nabi Murad; Daniel Kwabena Yirenya-Tawiah; Thomas Weller; Yasin Yilmaz 001 (WCNC, 2025)

Hardware and Deep Learning-Based Authentication Through Enhanced RF Fingerprints of 3D-Printed Chaotic Antenna Arrays. - Justin McMillen; Fawaz Abdul Razak; Gokhan Mumcu; Yasin Yilmaz 001 (IEEE Access, 2025)

Additively Manufactured RF Electronics With Structurally Integrated Physically Unclonable Functions for Wireless System Security. - Aaron Pendino; Nghia Nguyen; Saif E. Nouma; Jing Wang 048; Attila A. Yavuz; Yasin Yilmaz 001; Gökhan Mumcu (IEEE Access, 2025)

Challenges in Using Deep Neural Networks Across Multiple Readers in Delineating Prostate Gland Anatomy. - Shatha Abudalou; Jung Choi; Kenneth Gage; Julio Pow-Sang; Yasin Yilmaz 001; Yoganand Balagurunathan (J. Imaging Inform. Medicine, 2025)

HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings. - Aakash Tripathi; Asim Waqas; Matthew B. Schabath; Yasin Yilmaz 001; Ghulam Rasool 001 (npj Digit. Medicine, 2025)

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers. - Furkan Mumcu; Yasin Yilmaz 001 (Trans. Mach. Learn. Res., 2025)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia. - Sabeen Ahmed; Nathan Parker; Margaret Park; Evan W. Davis; Jennifer B. Permuth; Matthew B. Schabath; Yasin Yilmaz 001; Ghulam Rasool 001 (CoRR, 2025)

Reliable Radiologic Skeletal Muscle Area Assessment - A Biomarker for Cancer Cachexia Diagnosis. - Sabeen Ahmed; Nathan Parker; Margaret Park; Daniel Jeong; Lauren Peres; Evan W. Davis; Jennifer B. Permuth; Erin Siegel; Matthew B. Schabath; Yasin Yilmaz 001; Ghulam Rasool 001 (CoRR, 2025)

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series. - Md Mahmuddun Nabi Murad; Yasin Yilmaz 001 (CoRR, 2025)

EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis. - Aakash Tripathi; Asim Waqas; Matthew B. Schabath; Yasin Yilmaz 001; Ghulam Rasool 001 (CoRR, 2025)

LLM-Guided Agentic Object Detection for Open-World Understanding. - Furkan Mumcu; Michael J. Jones 001; Anoop Cherian; Yasin Yilmaz 001 (CoRR, 2025)

Analytical and Experimental Validation of Wireless Authentication Through Enhanced RF Fingerprints of Chaotic Antenna Arrays. - Thomas Ranström; Omar Jebreil; Fawaz Abdul Razak; Yasin Yilmaz 001; Gokhan Mumcu (IEEE Trans. Inf. Forensics Secur., 2026)

SemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection. - Hamza Karim; Yasin Yilmaz 001 (Trans. Mach. Learn. Res., 2026)

Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection. - Furkan Mumcu; Michael J. Jones 001; Anoop Cherian; Yasin Yilmaz 001 (Trans. Mach. Learn. Res., 2026)

Agentic AI-Empowered Dynamic Survey Framework. - Furkan Mumcu; Lokman Bekit; Michael J. Jones 001; Anoop Cherian; Yasin Yilmaz 001 (CoRR, 2026)

Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems. - Furkan Mumcu; Yasin Yilmaz 001 (CoRR, 2026)

Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization. - Furkan Mumcu; Yasin Yilmaz 001 (CoRR, 2026)

QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection. - Lokman Bekit; Hamza Karim; Nghia T. Nguyen; Yasin Yilmaz 001 (CoRR, 2026)

Detecting Adversarial Data via Provable Adversarial Noise Amplification. - Furkan Mumcu; Yasin Yilmaz 001 (CoRR, 2026)

Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models. - Furkan Mumcu; Michael J. Jones 001; Anoop Cherian; Yasin Yilmaz 001 (CoRR, 2026)