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We stand with Ukraine

Yasin Yilmaz

Orcid: 0000-0001-9445-5927

According to our database¹, Yasin Yilmaz authored at least 90 papers between 2004 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.

[BibT_eX]

[DOI]

Aakash Tripathi

,

,

Kavya Venkatesan

,

,

Sensors, March, 2024

Sequential architecture-agnostic black-box attack design and analysis.

[BibT_eX]

[DOI]

,

Pattern Recognit., March, 2024

Real-Time Weakly Supervised Video Anomaly Detection.

[BibT_eX]

[DOI]

,

,

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

IEEE Trans. Smart Grid, September, 2023

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

,

,

,

José Zayas-Castro

IEEE J. Biomed. Health Informatics, June, 2023

Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks.

[BibT_eX]

[DOI]

Gianluca Tabella

,

Domenico Ciuonzo

,

,

,

Pierluigi Salvo Rossi

IEEE Trans. Signal Inf. Process. over Networks, 2023

Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays.

[BibT_eX]

[DOI]

Justin McMillen

,

,

CoRR, 2023

Any-Shot Learning From Multimodal Observations (ALMO).

[BibT_eX]

[DOI]

Mehmet Aktukmak

,

,

Alfred O. Hero III

IEEE Access, 2023

Towards Interpretable Video Anomaly Detection.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Semantic Video Transformer for Robust Action Recognition.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Privacy-Preserving Video Understanding via Transformer-based Federated Learning.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Data-Driven Sequential Change Detection in Privacy-Sensitive Networks.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

Pieter J. Mosterman

,

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method Based on Residents' Feedback and Activity.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

IEEE Trans. Smart Grid, 2022

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey.

[BibT_eX]

[DOI]

,

IEEE Trans. Intell. Transp. Syst., 2022

Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

,

,

IEEE Trans. Comput. Soc. Syst., 2022

Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings.

[BibT_eX]

[DOI]

Mahsa Mozaffari

,

,

Sensors, 2022

Real-Time Detection and Classification of Power Quality Disturbances.

[BibT_eX]

[DOI]

Mahsa Mozaffari

,

,

Sensors, 2022

RSU-Based Online Intrusion Detection and Mitigation for VANET.

[BibT_eX]

[DOI]

,

Sensors, 2022

Online Privacy-Preserving Data-Driven Network Anomaly Detection.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

,

Pieter J. Mosterman

IEEE J. Sel. Areas Commun., 2022

Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities.

[BibT_eX]

[DOI]

Almuthanna T. Nassar

,

IEEE Internet Things J., 2022

TiSAT: Time Series Anomaly Transformer.

[BibT_eX]

[DOI]

,

Shatha Abudalou

,

CoRR, 2022

Rethinking Video Anomaly Detection - A Continual Learning Approach.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Modular and Unified Framework for Detecting and Localizing Video Anomalies.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection.

[BibT_eX]

[DOI]

,

Shatha Abudalou

,

Proceedings of the International Joint Conference on Neural Networks, 2022

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems.

[BibT_eX]

[DOI]

,

,

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Multi-Task Learning for Video Surveillance with Limited Data.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Federated Learning-based Driver Activity Recognition for Edge Devices.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities.

[BibT_eX]

[DOI]

,

,

,

Hüseyin Oktay Altun

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models.

[BibT_eX]

[DOI]

,

Mehmet Aktukmak

,

Alfred O. Hero III

IEEE Trans. Signal Process., 2021

Sequential Attack Detection in Recommender Systems.

[BibT_eX]

[DOI]

Mehmet Aktukmak

,

,

IEEE Trans. Inf. Forensics Secur., 2021

Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks.

[BibT_eX]

[DOI]

,

,

Suleyman Uludag

IEEE Trans. Dependable Secur. Comput., 2021

Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate.

[BibT_eX]

[DOI]

,

Pattern Recognit., 2021

Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Timely detection and mitigation of IoT-based cyberattacks in the smart grid.

[BibT_eX]

[DOI]

,

Suleyman Uludag

J. Frankl. Inst., 2021

Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

,

,

Proceedings of the International Joint Conference on Neural Networks, 2021

An Efficient Approach for Anomaly Detection in Traffic Videos.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

IEEE Trans. Inf. Forensics Secur., 2020

Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate.

[BibT_eX]

[DOI]

,

CoRR, 2020

Predictive Maintenance for Increasing EV Charging Load in Distribution Power System.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change.

[BibT_eX]

[DOI]

Salman Sadiq Shuvo

,

,

,

Proceedings of the 37th International Conference on Machine Learning, 2020

Any-Shot Sequential Anomaly Detection in Surveillance Videos.

[BibT_eX]

[DOI]

,

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fast Unsupervised Anomaly Detection in Traffic Videos.

[BibT_eX]

[DOI]

,

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continual Learning for Anomaly Detection in Surveillance Videos.

[BibT_eX]

[DOI]

,

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Road Damage Detection using Deep Ensemble Learning.

[BibT_eX]

[DOI]

,

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Anomaly Detection in Partially Observed Traffic Networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

IEEE Trans. Signal Process., 2019

Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

IEEE Trans. Inf. Forensics Secur., 2019

Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT.

[BibT_eX]

[DOI]

,

,

,

,

,

IEEE Internet Things J., 2019

A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information.

[BibT_eX]

[DOI]

Mehmet Aktukmak

,

,

Neurocomputing, 2019

Online Multivariate Anomaly Detection and Localization for High-dimensional Settings.

[BibT_eX]

[DOI]

Mahsa Mozaffari

,

CoRR, 2019

Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements.

[BibT_eX]

[DOI]

Almuthanna T. Nassar

,

IEEE Access, 2019

RAPID: Real-time Anomaly-based Preventive Intrusion Detection.

[BibT_eX]

[DOI]

,

Mahsa Mozaffari

,

Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Quick and accurate attack detection in recommender systems through user attributes.

[BibT_eX]

[DOI]

Mehmet Aktukmak

,

,

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Online Anomaly Detection in Multivariate Settings.

[BibT_eX]

[DOI]

Mahsa Mozaffari

,

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

IoT in Smart Grid: Energy Management Opportunities and Security Challenges.

[BibT_eX]

[DOI]

Motahareh Pourbehzadi

,

,

Abdollah Kavousi-Fard

,

Proceedings of the Internet of Things. A Confluence of Many Disciplines, 2019

Resource Allocation in Fog RAN for Heterogeneous IoT Environments Based on Reinforcement Learning.

[BibT_eX]

[DOI]

Almuthanna T. Nassar

,

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Latent Heterogeneous Multilayer Community Detection.

[BibT_eX]

[DOI]

Hafiz Tiomoko Ali

,

,

,

Romain Couillet

,

Indika Rajapakse

,

Alfred O. Hero III

Proceedings of the IEEE International Conference on Acoustics, 2019

Scenario Planning for Sea Level Rise via Reinforcement Learning.

[BibT_eX]

[DOI]

Salman S. Shuvo

,

,

,

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Dynamic Network Slicing for Fog Radio Access Networks.

[BibT_eX]

[DOI]

Almuthanna T. Nassar

,

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Sequential Model-Free Anomaly Detection for Big Data Streams.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Multimodal Event Detection in Twitter Hashtag Networks.

[BibT_eX]

[DOI]

,

Alfred O. Hero III

J. Signal Process. Syst., 2018

Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks.

[BibT_eX]

[DOI]

,

Mehmet Necip Kurt

,

IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Quickest Detection of Cyber-Attacks in Smart Grid.

[BibT_eX]

[DOI]

Mehmet Necip Kurt

,

,

IEEE Trans. Inf. Forensics Secur., 2018

Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments.

[BibT_eX]

[DOI]

Almuthanna T. Nassar

,

CoRR, 2018

Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

,

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Online nonparametric anomaly detection based on geometric entropy minimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Mitigating IoT-based Cyberattacks on the Smart Grid.

[BibT_eX]

[DOI]

,

Suleyman Uludag

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Sequential Joint Detection and Estimation: Optimum Tests and Applications.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Signal Process., 2016

Transmitter-Centric Channel Estimation and Low-PAPR Precoding for Millimeter-Wave MIMO Systems.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Commun., 2016

Sequential and decentralized estimation of linear-regression parameters in wireless sensor networks.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

IEEE Trans. Aerosp. Electron. Syst., 2016

2015

Quickest Detection of False Data Injection Attack in Wide-Area Smart Grids.

[BibT_eX]

[DOI]

,

,

IEEE Trans. Smart Grid, 2015

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis.

[BibT_eX]

[DOI]

Muhammed O. Sayin

,

,

,

Suleyman Serdar Kozat

Signal Process., 2015

Sequential cyber-attack detection in the large-scale smart grid system.

[BibT_eX]

[DOI]

,

,

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Multimodal factor analysis.

[BibT_eX]

[DOI]

,

Alfred O. Hero III

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks.

[BibT_eX]

[DOI]

,

IEEE Trans. Signal Process., 2014

Sequential Decentralized Parameter Estimation Under Randomly Observed Fisher Information.

[BibT_eX]

[DOI]

,

IEEE Trans. Inf. Theory, 2014

Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access.

[BibT_eX]

[DOI]

,

,

IEEE J. Sel. Areas Commun., 2014

A Combining Method for solution of nonlinear boundary value problems.

[BibT_eX]

[DOI]

Zekeriya Girgin

,

,

Appl. Math. Comput., 2014

2013

Channel-Aware Decentralized Detection via Level-Triggered Sampling.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

IEEE Trans. Signal Process., 2013

Optimal Sequential Vector Estimation

[BibT_eX]

[DOI]

,

George V. Moustakides

,

CoRR, 2013

Asymptotically optimal and bandwith-efficient decentralized detection.

[BibT_eX]

[DOI]

,

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Optimal sequential parameter estimation.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

Cooperative Sequential Spectrum Sensing Based on Level-Triggered Sampling.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

IEEE Trans. Signal Process., 2012

Sequential decentralized detection under noisy channels.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Spectrum sensing via event-triggered sampling.

[BibT_eX]

[DOI]

,

George V. Moustakides

,

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Competitive Randomized Nonlinear Prediction Under Additive Noise.

[BibT_eX]

[DOI]

,

Suleyman Serdar Kozat

IEEE Signal Process. Lett., 2010

2009

An investigation of the effect of counterweight configuration on main bearing load and crankshaft bending stress.

[BibT_eX]

[DOI]

,

Adv. Eng. Softw., 2009

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections.

[BibT_eX]

[DOI]

,

Suleyman Serdar Kozat

Proceedings of the International Conference on Machine Learning and Applications, 2009

2004

Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool.

[BibT_eX]

[DOI]

,

Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology, 2004

Developing Finite State NLP Systems with a Graphical Environment.

[BibT_eX]

[DOI]

,

Proceedings of the Computer and Information Sciences, 2004

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