Next Generation Emergency Communication Systems via Software Defined Networks. - Milos Manic; Dumidu Wijayasekara; Kasun Amarasinghe; Joel D. Hewlett; Kevin Handy; Christopher Becker; Bruce Patterson; Robert Peterson (GREE, 2014)

EEG based brain activity monitoring using Artificial Neural Networks. - Kasun Amarasinghe; Dumidu Wijayasekara; Milos Manic (HSI, 2014)

Neural Network based downscaling of Building Energy Management System data. - Kasun Amarasinghe; Dumidu Wijayasekara; Milos Manic (ISIE, 2014)

Artificial neural networks based thermal energy storage control for buildings. - Kasun Amarasinghe; Dumidu Wijayasekara; Howard J. Carey; Milos Manic; Dawei He; Wei-Peng Chen (IECON, 2015)

EEG feature selection for thought driven robots using evolutionary Algorithms. - Kasun Amarasinghe; Patrick Sivils; Milos Manic (HSI, 2016)

Multi-use high-technology testbed. - Lee T. Ostrom; Kelly M. Verner; Milos Manic; Kasun Amarasinghe; Dumidu Wijayasekara (HSI, 2016)

Building energy load forecasting using Deep Neural Networks. - Daniel L. Marino; Kasun Amarasinghe; Milos Manic (IECON, 2016)

VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter. - Gerard Briones; Kasun Amarasinghe; Bridget T. McInnes (SemEval@NAACL-HLT, 2016)

Simultaneous generation-classification using LSTM. - Daniel L. Marino; Kasun Amarasinghe; Milos Manic (SSCI, 2016)

Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks. - Howard J. Carey; Kasun Amarasinghe; Milos Manic (HSI, 2017)

Dynamic user interfaces for control systems. - Patrick Sivils; Kasun Amarasinghe; Matthew Anderson; Neal Yancey; Quang Nguyen; Kevin Kenney; Milos Manic (HSI, 2017)

Deep neural networks for energy load forecasting. - Kasun Amarasinghe; Daniel L. Marino; Milos Manic (ISIE, 2017)

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

Toward Explainable Deep Neural Network Based Anomaly Detection. - Kasun Amarasinghe; Kevin Kenney; Milos Manic (HSI, 2018)

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

Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems. - Kasun Amarasinghe; 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)

Integrated Cyber Physical Assessment and Response for Improved Resiliency. - Patrick Sivils; Craig Rieger; Kasun Amarasinghe; Milos Manic (The Internet of Things for Smart Urban Ecosystems, 2019)

Explaining What a Neural Network has Learned: Toward Transparent Classification. - Kasun Amarasinghe; Milos Manic (FUZZ-IEEE, 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)

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

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. - Kasun Amarasinghe; Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (CoRR, 2020)

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

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. - Oscar Giles; Kasra Hosseini; Grigorios Mingas; Oliver Strickson; Louise Bowler; Camila Rangel Smith; Harrison Wilde; Jen Ning Lim; Bilal A. Mateen; Kasun Amarasinghe; Rayid Ghani; Alison J. Heppenstall; et al. (CoRR, 2022)

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

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. - Kasun Amarasinghe; Kit T. Rodolfa; Sérgio M. Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani (AAAI, 2024)

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. - Catalina Vajiac; Arun Frey; Joachim Baumann 002; Abigail Smith; Kasun Amarasinghe; Alice Lai; Kit T. Rodolfa; Rayid Ghani (AAAI, 2024)

Robust Optical Flow Computation: A Higher-Order Differential Approach. - Chanuka Algama; Kasun Amarasinghe (CoRR, 2024)

Learned Indexes with Distribution Smoothing via Virtual Points. - Kasun Amarasinghe; Farhana Choudhury; Jianzhong Qi 001; James Bailey 001 (EDBT, 2025)