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Journal Articles
- 2023
[j9]Walid Al Misba
, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha:
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. IEEE Access 11: 124725-124737 (2023)- [j8]Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe:
Editorial: Explainable artificial intelligence. Frontiers Comput. Sci. 5 (2023) - [j7]Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic:
RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Trans. Intell. Transp. Syst. 24(12): 14051-14063 (2023) - 2022
- [j6]Sergio Vazquez, Daniel L. Marino, Eduardo Zafra, María Dolores Valdés Peña, Juan J. Rodríguez-Andina, Leopoldo García Franquelo, Milos Manic:
An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters. IEEE Trans. Ind. Electron. 69(12): 11987-11998 (2022) - 2021
- [j5]Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic:
ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. IEEE Access 9: 40511-40520 (2021) - [j4]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic:
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9: 131824-131843 (2021) - [j3]Daniel L. Marino, Chathurika S. Wickramasinghe, Vivek Kumar Singh, Jake Gentle, Craig Rieger, Milos Manic:
The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access 9: 159475-159494 (2021) - [j2]Daniel L. Marino, Chathurika S. Wickramasinghe, Billy Tsouvalas, Craig Rieger, Milos Manic:
Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access 9: 163138-163150 (2021) - 2019
- [j1]Daniel L. Marino, Milos Manic:
Modeling and Planning Under Uncertainty Using Deep Neural Networks. IEEE Trans. Ind. Informatics 15(8): 4442-4454 (2019)
Conference and Workshop Papers
- 2023
- [c17]Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic:
Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. ICIT 2023: 1-7 - 2022
- [c16]Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Victor Cobilean, Milos Manic:
Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. IECON 2022: 1-7 - 2021
- [c15]Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic:
Deep Embedded Clustering with ResNets. HSI 2021: 1-6 - 2020
- [c14]Chathurika S. Wickramasinghe, Daniel L. Marino, Javier Grandio, Milos Manic:
Trustworthy AI Development Guidelines for Human System Interaction. HSI 2020: 130-136 - [c13]Daniel L. Marino, Javier Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, Keith Bourne, Afroditi V. Filippas, Milos Manic:
AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. HSI 2020: 155-161 - 2019
- [c12]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: 34-40 - [c11]Morgan Stuart, Chathurika S. Wickramasinghe, Daniel L. Marino, Deepak Kumbhare, Kathryn Holloway, Milos Manic:
Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. HSI 2019: 143-150 - [c10]Chathurika S. Wickramasinghe, Daniel L. Marino, Fatih Yucel, Eyuphan Bulut, Milos Manic:
Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. HSI 2019: 168-173 - [c9]Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON 2019: 5855-5861 - 2018
- [c8]Daniel L. Marino, Matthew Anderson, Kevin Kenney, Milos Manic:
Interpretable Data-Driven Modeling in Biomass Preprocessing. HSI 2018: 291-297 - [c7]Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic:
Deep Self-Organizing Maps for Visual Data Mining. HSI 2018: 304-310 - [c6]Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic:
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON 2018: 745-751 - [c5]Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic:
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. IECON 2018: 3237-3243 - 2017
- [c4]Kasun Amarasinghe, Daniel L. Marino, Milos Manic:
Deep neural networks for energy load forecasting. ISIE 2017: 1483-1488 - 2016
- [c3]Daniel L. Marino, Kasun Amarasinghe, Milos Manic:
Building energy load forecasting using Deep Neural Networks. IECON 2016: 7046-7051 - [c2]Daniel L. Marino, Milos Manic:
Fast trajectory simplification algorithm for natural user interfaces in Robot programming by demonstration. ISIE 2016: 905-911 - [c1]Daniel L. Marino, Kasun Amarasinghe, Milos Manic:
Simultaneous generation-classification using LSTM. SSCI 2016: 1-8
Informal and Other Publications
- 2023
- [i7]Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha:
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. CoRR abs/2304.03343 (2023) - 2022
- [i6]Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic:
Self-Supervised and Interpretable Anomaly Detection using Network Transformers. CoRR abs/2202.12997 (2022) - [i5]Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic:
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. CoRR abs/2209.02052 (2022) - 2019
- [i4]Daniel L. Marino, Milos Manic:
Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior. CoRR abs/1906.02160 (2019) - 2018
- [i3]Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic:
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. CoRR abs/1811.11705 (2018) - 2016
- [i2]Daniel L. Marino, Milos Manic:
Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration. CoRR abs/1608.07338 (2016) - [i1]Daniel L. Marino, Kasun Amarasinghe, Milos Manic:
Building Energy Load Forecasting using Deep Neural Networks. CoRR abs/1610.09460 (2016)
Coauthor Index
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