Yasin Yilmaz

Orcid: 0000-0001-9445-5927

According to our database1, Yasin Yilmaz authored at least 97 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.
Sensors, March, 2024

Sequential architecture-agnostic black-box attack design and analysis.
Pattern Recognit., March, 2024

DeepQCD: An end-to-end deep learning approach to quickest change detection.
J. Frankl. Inst., 2024

Detecting Adversarial Examples.
CoRR, 2024

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review.
CoRR, 2024

Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation.
CoRR, 2024

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models.
CoRR, 2024

Real-Time Weakly Supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Deceptive Skies: Leveraging GANs for Drone Sensor Data Falsification.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Multimodal Attack Detection for Action Recognition Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load.
IEEE Trans. Smart Grid, September, 2023

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events.
IEEE J. Biomed. Health Informatics, June, 2023

Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Deep Learning-based RF Fingerprint Authentication with Chaotic Antenna Arrays.
CoRR, 2023

Any-Shot Learning From Multimodal Observations (ALMO).
IEEE Access, 2023

Towards Interpretable Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Semantic Video Transformer for Robust Action Recognition.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Privacy-Preserving Video Understanding via Transformer-based Federated Learning.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Data-Driven Sequential Change Detection in Privacy-Sensitive Networks.
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.
IEEE Trans. Smart Grid, 2022

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Modeling and Simulating Adaptation Strategies Against Sea-Level Rise Using Multiagent Deep Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst., 2022

Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings.
Sensors, 2022

Real-Time Detection and Classification of Power Quality Disturbances.
Sensors, 2022

RSU-Based Online Intrusion Detection and Mitigation for VANET.
Sensors, 2022

Online Privacy-Preserving Data-Driven Network Anomaly Detection.
IEEE J. Sel. Areas Commun., 2022

Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities.
IEEE Internet Things J., 2022

TiSAT: Time Series Anomaly Transformer.
CoRR, 2022

Rethinking Video Anomaly Detection - A Continual Learning Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Modular and Unified Framework for Detecting and Localizing Video Anomalies.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Multi-Task Learning for Video Surveillance with Limited Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Federated Learning-based Driver Activity Recognition for Edge Devices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Detecting Dangerous Maritime Refugee Migration Paths through Cell Phone Activities.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models.
IEEE Trans. Signal Process., 2021

Sequential Attack Detection in Recommender Systems.
IEEE Trans. Inf. Forensics Secur., 2021

Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks.
IEEE Trans. Dependable Secur. Comput., 2021

Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate.
Pattern Recognit., 2021

Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Timely detection and mitigation of IoT-based cyberattacks in the smart grid.
J. Frankl. Inst., 2021

Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning.
Proceedings of the International Joint Conference on Neural Networks, 2021

An Efficient Approach for Anomaly Detection in Traffic Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids.
IEEE Trans. Inf. Forensics Secur., 2020

Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate.
CoRR, 2020

Predictive Maintenance for Increasing EV Charging Load in Distribution Power System.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change.
Proceedings of the 37th International Conference on Machine Learning, 2020

Any-Shot Sequential Anomaly Detection in Surveillance Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fast Unsupervised Anomaly Detection in Traffic Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continual Learning for Anomaly Detection in Surveillance Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Road Damage Detection using Deep Ensemble Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Anomaly Detection in Partially Observed Traffic Networks.
IEEE Trans. Signal Process., 2019

Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid.
IEEE Trans. Inf. Forensics Secur., 2019

Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT.
IEEE Internet Things J., 2019

A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information.
Neurocomputing, 2019

Online Multivariate Anomaly Detection and Localization for High-dimensional Settings.
CoRR, 2019

Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements.
IEEE Access, 2019

RAPID: Real-time Anomaly-based Preventive Intrusion Detection.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Quick and accurate attack detection in recommender systems through user attributes.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Online Anomaly Detection in Multivariate Settings.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

IoT in Smart Grid: Energy Management Opportunities and Security Challenges.
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.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Latent Heterogeneous Multilayer Community Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Scenario Planning for Sea Level Rise via Reinforcement Learning.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Dynamic Network Slicing for Fog Radio Access Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Sequential Model-Free Anomaly Detection for Big Data Streams.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Multimodal Event Detection in Twitter Hashtag Networks.
J. Signal Process. Syst., 2018

Distributed Dynamic State Estimation and LQG Control in Resource-Constrained Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Distributed Quickest Detection of Cyber-Attacks in Smart Grid.
IEEE Trans. Inf. Forensics Secur., 2018

Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments.
CoRR, 2018

Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Online nonparametric anomaly detection based on geometric entropy minimization.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Mitigating IoT-based Cyberattacks on the Smart Grid.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Sequential Joint Detection and Estimation: Optimum Tests and Applications.
IEEE Trans. Signal Process., 2016

Transmitter-Centric Channel Estimation and Low-PAPR Precoding for Millimeter-Wave MIMO Systems.
IEEE Trans. Commun., 2016

Sequential and decentralized estimation of linear-regression parameters in wireless sensor networks.
IEEE Trans. Aerosp. Electron. Syst., 2016

2015
Quickest Detection of False Data Injection Attack in Wide-Area Smart Grids.
IEEE Trans. Smart Grid, 2015

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis.
Signal Process., 2015

Sequential cyber-attack detection in the large-scale smart grid system.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

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

2014
Sequential Distributed Detection in Energy-Constrained Wireless Sensor Networks.
IEEE Trans. Signal Process., 2014

Sequential Decentralized Parameter Estimation Under Randomly Observed Fisher Information.
IEEE Trans. Inf. Theory, 2014

Sequential Joint Spectrum Sensing and Channel Estimation for Dynamic Spectrum Access.
IEEE J. Sel. Areas Commun., 2014

A Combining Method for solution of nonlinear boundary value problems.
Appl. Math. Comput., 2014

2013
Channel-Aware Decentralized Detection via Level-Triggered Sampling.
IEEE Trans. Signal Process., 2013

Optimal Sequential Vector Estimation
CoRR, 2013

Asymptotically optimal and bandwith-efficient decentralized detection.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Optimal sequential parameter estimation.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Cooperative Sequential Spectrum Sensing Based on Level-Triggered Sampling.
IEEE Trans. Signal Process., 2012

Sequential decentralized detection under noisy channels.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Spectrum sensing via event-triggered sampling.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Competitive Randomized Nonlinear Prediction Under Additive Noise.
IEEE Signal Process. Lett., 2010

2009
An investigation of the effect of counterweight configuration on main bearing load and crankshaft bending stress.
Adv. Eng. Softw., 2009

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections.
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.
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.
Proceedings of the Computer and Information Sciences, 2004


  Loading...