Kasun Amarasinghe

34 papers A* 2B 2C 12Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Robust Optical Flow Computation: A Higher-Order Differential Approach.
VISAPP (3)
Chanuka Algama, Kasun Amarasinghe
2025 B conf
Learned Indexes with Distribution Smoothing via Virtual Points.
EDBT
Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi, James Bailey
2024 J jnl
Learned Indexes with Distribution Smoothing via Virtual Points.
CoRR
Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi, James Bailey
2024 A* conf
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
AAAI
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2024 A* conf
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance.
AAAI
Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani
2024 J jnl
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance.
CoRR
Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani
2024 J jnl
Robust Optical Flow Computation: A Higher-Order Differential Approach.
CoRR
Chanuka Algama, Kasun Amarasinghe
2023 J jnl
Editorial: Explainable artificial intelligence.
Frontiers Comput. Sci.
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe
2022 J jnl
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.
CoRR
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 T. O'Reilly, Sebastian J. Vollmer
2022 J jnl
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
CoRR
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2021 J jnl
Explainable Unsupervised Machine Learning for Cyber-Physical Systems.
IEEE Access
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic
2020 J jnl
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions.
CoRR
Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
2019 J jnl
Deep Self-Organizing Maps for Unsupervised Image Classification.
IEEE Trans. Ind. Informatics
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
2019 B conf
Explaining What a Neural Network has Learned: Toward Transparent Classification.
FUZZ-IEEE
Kasun Amarasinghe, Milos Manic
2019 — ch.
Integrated Cyber Physical Assessment and Response for Improved Resiliency.
The Internet of Things for Smart Urban Ecosystems
Patrick Sivils, Craig Rieger, Kasun Amarasinghe, Milos Manic
2019 C conf
Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets.
HSI
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic
2018 C conf
Deep Self-Organizing Maps for Visual Data Mining.
HSI
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic
2018 C conf
Generalization of Deep Learning for Cyber-Physical System Security: A Survey.
IECON
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic
2018 C conf
Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems.
IECON
Kasun Amarasinghe, Milos Manic
2018 C conf
Toward Explainable Deep Neural Network Based Anomaly Detection.
HSI
Kasun Amarasinghe, Kevin Kenney, Milos Manic
2017 — conf
Deep neural networks for energy load forecasting.
ISIE
Kasun Amarasinghe, Daniel L. Marino, Milos Manic
2017 C conf
Dynamic user interfaces for control systems.
HSI
Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, Neal Yancey, Quang Nguyen, Kevin Kenney, Milos Manic
2017 — conf
Parallalizable deep self-organizing maps for image classification.
SSCI
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
2017 C conf
Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks.
HSI
Howard J. Carey, Kasun Amarasinghe, Milos Manic
2016 J jnl
Building Energy Load Forecasting using Deep Neural Networks.
CoRR
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
2016 C conf
Building energy load forecasting using Deep Neural Networks.
IECON
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
2016 C conf
EEG feature selection for thought driven robots using evolutionary Algorithms.
HSI
Kasun Amarasinghe, Patrick Sivils, Milos Manic
2016 C conf
Multi-use high-technology testbed.
HSI
Lee T. Ostrom, Kelly M. Verner, Milos Manic, Kasun Amarasinghe, Dumidu Wijayasekara
2016 — conf
Simultaneous generation-classification using LSTM.
SSCI
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
2016 — conf
VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter.
SemEval@NAACL-HLT
Gerard Briones, Kasun Amarasinghe, Bridget T. McInnes
2015 C conf
Artificial neural networks based thermal energy storage control for buildings.
IECON
Kasun Amarasinghe, Dumidu Wijayasekara, Howard J. Carey, Milos Manic, Dawei He, Wei-Peng Chen
2014 C conf
EEG based brain activity monitoring using Artificial Neural Networks.
HSI
Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic
2014 — conf
Neural Network based downscaling of Building Energy Management System data.
ISIE
Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic
2014 — conf
Next Generation Emergency Communication Systems via Software Defined Networks.
GREE
Milos Manic, Dumidu Wijayasekara, Kasun Amarasinghe, Joel D. Hewlett, Kevin Handy, Christopher Becker, Bruce Patterson, Robert Peterson