Parallalizable deep self-organizing maps for image classification. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Milos Manic (SSCI, 2017)

Deep Self-Organizing Maps for Visual Data Mining. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Milos Manic (HSI, 2018)

An Adversarial Approach for Explainable AI in Intrusion Detection Systems. - Daniel L. Marino; Chathurika S. Wickramasinghe; Milos Manic (IECON, 2018)

Generalization of Deep Learning for Cyber-Physical System Security: A Survey. - Chathurika S. Wickramasinghe; Daniel L. Marino; Kasun Amarasinghe; Milos Manic (IECON, 2018)

Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. - Morgan Stuart; Chathurika S. Wickramasinghe; Daniel L. Marino; Deepak Kumbhare; Kathryn Holloway; Milos Manic (HSI, 2019)

Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Zachary A. Spielman; Ira E. Pray; David Gertman; Milos Manic (HSI, 2019)

Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. - Chathurika S. Wickramasinghe; Daniel L. Marino; Fatih Yucel; Eyuphan Bulut; Milos Manic (HSI, 2019)

Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IECON, 2019)

Deep Self-Organizing Maps for Unsupervised Image Classification. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Milos Manic (IEEE Trans. Ind. Informatics, 2019)

AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. - Daniel L. Marino; Javier Grandio; Chathurika S. Wickramasinghe; Kyle Schroeder; Keith Bourne; Afroditi V. Filippas; Milos Manic (HSI, 2020)

Trustworthy AI Development Guidelines for Human System Interaction. - Chathurika S. Wickramasinghe; Daniel L. Marino; Javier Grandio; Milos Manic (HSI, 2020)

Deep Embedded Clustering with ResNets. - Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (HSI, 2021)

The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. - Daniel L. Marino; Chathurika S. Wickramasinghe; Vivek Kumar Singh; Jake Gentle; Craig Rieger; Milos Manic (IEEE Access, 2021)

Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. - Daniel L. Marino; Chathurika S. Wickramasinghe; Billy Tsouvalas; Craig Rieger; Milos Manic (IEEE Access, 2021)

Explainable Unsupervised Machine Learning for Cyber-Physical Systems. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Craig Rieger; Milos Manic (IEEE Access, 2021)

ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. - Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (IEEE Access, 2021)

Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. - Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Daniel L. Marino; Victor Cobilean; Milos Manic (IECON, 2022)

Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. - Victor Cobilean; Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (ICIT, 2023)

Anomaly Detection for In-Vehicle Communication Using Transformers. - Victor Cobilean; Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Benny J. Varghese; Timothy D. Pennington; Milos Manic (IECON, 2023)

DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Benny J. Varghese; Timothy D. Pennington; Milos Manic (IECON, 2023)

Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Tyler Phillips 002; Benny J. Varghese; Barney Carlson; Craig Rieger; Timothy D. Pennington; Milos Manic (ISIE, 2023)

Editorial: Explainable artificial intelligence. - Chathurika S. Wickramasinghe; Daniel L. Marino; Kasun Amarasinghe (Frontiers Comput. Sci., 2023)

RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. - Chathurika S. Wickramasinghe; Daniel L. Marino; Harindra S. Mavikumbure; Victor Cobilean; Timothy D. Pennington; Benny J. Varghese; Craig Rieger; Milos Manic (IEEE Trans. Intell. Transp. Syst., 2023)

Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Devin Drake; Milos Manic (HSI, 2024)

Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IEEE Trans. Ind. Informatics, 2025)