Chathurika S. Wickramasinghe

Devin Drake

Proceedings of the 16th International Conference on Human System Interaction, 2024

2023

RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data.

[BibT_eX]

[DOI]

Benny J. Varghese

IEEE Trans. Intell. Transp. Syst., December, 2023

Editorial: Explainable artificial intelligence.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2023

Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection.

[BibT_eX]

[DOI]

Benny J. Varghese

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Anomaly Detection for In-Vehicle Communication Using Transformers.

[BibT_eX]

[DOI]

Benny J. Varghese

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022

Self-Supervised and Interpretable Anomaly Detection using Network Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey.

[BibT_eX]

[DOI]

Proceedings of the IECON 2022, 2022

2021

ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Explainable Unsupervised Machine Learning for Cyber-Physical Systems.

[BibT_eX]

[DOI]

IEEE Access, 2021

Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring.

[BibT_eX]

[DOI]

Billy Tsouvalas

IEEE Access, 2021

The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study.

[BibT_eX]

[DOI]

IEEE Access, 2021

Deep Embedded Clustering with ResNets.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Human System Interaction, 2021

2020

Trustworthy AI Development Guidelines for Human System Interaction.

[BibT_eX]

[DOI]

Javier Grandio

Proceedings of the 13th International Conference on Human System Interaction, 2020

AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation.

[BibT_eX]

[DOI]

Javier Grandio

Proceedings of the 13th International Conference on Human System Interaction, 2020

2019

Deep Self-Organizing Maps for Unsupervised Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions.

[BibT_eX]

[DOI]

Proceedings of the IECON 2019, 2019

Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Human System Interaction, 2019

Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Human System Interaction, 2019

Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG.

[BibT_eX]

[DOI]

Morgan Stuart

Proceedings of the 12th International Conference on Human System Interaction, 2019

2018

Generalization of Deep Learning for Cyber-Physical System Security: A Survey.

[BibT_eX]

[DOI]

Proceedings of the IECON 2018, 2018

An Adversarial Approach for Explainable AI in Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the IECON 2018, 2018

Deep Self-Organizing Maps for Visual Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Human System Interaction, 2018

2017

Parallalizable deep self-organizing maps for image classification.

[BibT_eX]

[DOI]