Kasun Amarasinghe

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Intrusion Detection System

Image Classification

Load Forecasting

Top Venues

Publications

Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. AAAI (2024)
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. AAAI (2024)
Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. CoRR (2024)
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe
Editorial: Explainable artificial intelligence. Frontiers Comput. Sci. 5 (2023)
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. CoRR (2022)
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, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmerteke
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. CoRR (2022)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9 (2021)
Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR (2020)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Trans. Ind. Informatics 15 (11) (2019)
Kasun Amarasinghe, Milos Manic
Explaining What a Neural Network has Learned: Toward Transparent Classification. FUZZ-IEEE (2019)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic
Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. HSI (2019)
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON (2018)
Kasun Amarasinghe, Milos Manic
Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems. IECON (2018)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic
Deep Self-Organizing Maps for Visual Data Mining. HSI (2018)
Kasun Amarasinghe, Kevin Kenney, Milos Manic
Toward Explainable Deep Neural Network Based Anomaly Detection. HSI (2018)
Howard J. Carey, Kasun Amarasinghe, Milos Manic
Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks. HSI (2017)
Kasun Amarasinghe, Daniel L. Marino, Milos Manic
Deep neural networks for energy load forecasting. ISIE (2017)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
Parallalizable deep self-organizing maps for image classification. SSCI (2017)
Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, Neal Yancey, Quang Nguyen, Kevin Kenney, Milos Manic
Dynamic user interfaces for control systems. HSI (2017)
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Building Energy Load Forecasting using Deep Neural Networks. CoRR (2016)
Kasun Amarasinghe, Patrick Sivils, Milos Manic
EEG feature selection for thought driven robots using evolutionary Algorithms. HSI (2016)
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Simultaneous generation-classification using LSTM. SSCI (2016)
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Building energy load forecasting using Deep Neural Networks. IECON (2016)
Lee T. Ostrom, Kelly M. Verner, Milos Manic, Kasun Amarasinghe, Dumidu Wijayasekara
Multi-use high-technology testbed. HSI (2016)
Gerard Briones, Kasun Amarasinghe, Bridget T. McInnes
VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT (2016)
Kasun Amarasinghe, Dumidu Wijayasekara, Howard J. Carey, Milos Manic, Dawei He, Wei-Peng Chen
Artificial neural networks based thermal energy storage control for buildings. IECON (2015)
Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic
Neural Network based downscaling of Building Energy Management System data. ISIE (2014)
Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic
EEG based brain activity monitoring using Artificial Neural Networks. HSI (2014)
Milos Manic, Dumidu Wijayasekara, Kasun Amarasinghe, Joel D. Hewlett, Kevin Handy, Christopher Becker, Bruce Patterson, Robert Peterson
Next Generation Emergency Communication Systems via Software Defined Networks. GREE (2014)