Kasun Amarasinghe
Kasun Amarasinghe
Machine Learning Department & Heinz School of Public Policy, Carnegie Mellon University
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Building energy load forecasting using deep neural networks
DL Marino, K Amarasinghe, M Manic
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
4002016
Deep neural networks for energy load forecasting
K Amarasinghe, DL Marino, M Manic
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE …, 2017
1972017
Building energy management systems: The age of intelligent and adaptive buildings
M Manic, D Wijayasekara, K Amarasinghe, JJ Rodriguez-Andina
IEEE Industrial Electronics Magazine 10 (1), 25-39, 2016
1622016
Intelligent buildings of the future: Cyberaware, deep learning powered, and human interacting
M Manic, K Amarasinghe, JJ Rodriguez-Andina, C Rieger
IEEE Industrial Electronics Magazine 10 (4), 32-49, 2016
972016
Deep learning and reconfigurable platforms in the internet of things: Challenges and opportunities in algorithms and hardware
RF Molanes, K Amarasinghe, J Rodriguez-Andina, M Manic
IEEE Industrial Electronics Magazine 12 (2), 36-49, 2018
532018
Generalization of deep learning for cyber-physical system security: A survey
CS Wickramasinghe, DL Marino, K Amarasinghe, M Manic
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018
502018
Toward explainable deep neural network based anomaly detection
K Amarasinghe, K Kenney, M Manic
2018 11th International Conference on Human System Interaction (HSI), 311-317, 2018
472018
Deep self-organizing maps for unsupervised image classification
CS Wickramasinghe, K Amarasinghe, M Manic
IEEE Transactions on Industrial Informatics 15 (11), 5837-5845, 2019
302019
Artificial neural networks based thermal energy storage control for buildings
K Amarasinghe, D Wijayasekara, H Carey, M Manic, D He, WP Chen
IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society …, 2015
252015
EEG based brain activity monitoring using Artificial Neural Networks
K Amarasinghe, D Wijayasekara, M Manic
2014 7th International Conference on Human System Interactions (HSI), 61-66, 2014
252014
Optimal stop word selection for text mining in critical infrastructure domain
K Amarasinghe, M Manic, R Hruska
2015 Resilience Week (RWS), 1-6, 2015
222015
Next generation emergency communication systems via software defined networks
M Manic, D Wijayasekara, K Amarasinghe, J Hewlett, K Handy, C Becker, ...
2014 Third GENI Research and Educational Experiment Workshop, 1-8, 2014
192014
Improving user trust on deep neural networks based intrusion detection systems
K Amarasinghe, M Manic
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018
162018
Parallalizable deep self-organizing maps for image classification
CS Wickramasinghe, K Amarasinghe, M Manic
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
142017
Nucleus basalis of Meynert stimulation for dementia: Theoretical and technical considerations
D Kumbhare, V Palys, J Toms, CS Wickramasinghe, K Amarasinghe, ...
Frontiers in neuroscience 12, 614, 2018
112018
EEG feature selection for thought driven robots using evolutionary algorithms
K Amarasinghe, P Sivils, M Manic
2016 9th International Conference on Human System Interactions (HSI), 355-361, 2016
112016
Explaining what a neural network has learned: Toward transparent classification
K Amarasinghe, M Manic
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
102019
Data driven decision support for reliable biomass feedstock preprocessing
D Marino, K Amarasinghe, M Anderson, N Yancey, Q Nguyen, K Kenney, ...
2017 Resilience Week (RWS), 97-102, 2017
102017
Neural network based downscaling of building energy management system data
K Amarasinghe, D Wijayasekara, M Manic
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE …, 2014
102014
Framework for data driven health monitoring of cyber-physical systems
K Amarasinghe, C Wickramasinghe, D Marino, C Rieger, M Manicl
2018 Resilience Week (RWS), 25-30, 2018
92018
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