publications
Published papers from my lab.
Also see:
- Selected Showcase Publications
- Publications Grouped by Research Topics
- Current Preprints and Working Papers / My Arxiv Preprint Page
- Google Scholar
2022
- Mean Field MARLDecentralized Mean Field GamesIn Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
- Multi-Advisor-QL
2021
- NLP-DigiPathAnalysis of Language Embeddings for Classification of Unstructured Pathology ReportsIn International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021
2020
- Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out ManeuversIn Proceeding of the 59th IEEE Conference on Decision and Control (CDC-2020) 2020
- Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksIn IEEE International Joint Conference on Neural Networks (IJCNN) 2020
- Weighted Fisher Discriminant Analysis in the Input and Feature SpacesIn International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
- Backprojection for Training Feedforward Neural Networks in the Input and Feature SpacesIn International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
- Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential AutoencodersIn International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
- Anomaly Detection and Prototype Selection Using Polyhedron CurvatureIn Canadian Conference on Artificial Intelligence 2020
- Reinforcement Learning in a Physics-Inspired Semi-Markov EnvironmentIn Canadian Conference on Artificial Intelligence 2020
2019
- Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban TreesIn Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019), Collocated with the tenth International Conference on Knowledge Capture (K-CAP) 2019
- Instance Ranking and Numerosity Reduction Using Matrix Decompositionand Subspace LearningIn Canadian Conference on Artificial Intelligence 2019
- Learning Multi-Agent Communication with Reinforcement LearningIn Conference on Reinforcement Learning and Decision Making (RLDM-19) 2019
- Locally Linear Image Structural Embedding for Image Structure Manifold LearningIn International Conference on Image Analysis and Recognition (ICIAR-19) 2019
- Image Structure Subspace Learning Using Structural Similarity IndexIn International Conference on Image Analysis and Recognition (ICIAR-19) 2019
- Principal Component Analysis Using Structural Similarity Index for ImagesIn International Conference on Image Analysis and Recognition (ICIAR-19) 2019
- Artificial Counselor System For Stock InvestmentIn Innovative Applications of Artificial Intelligence (IAAI-19) 2019
- Training Cooperative Agents for Multi-Agent Reinforcement LearningIn Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) 2019
2018
- Principal Sample Analysis for Data ReductionIn 2018 IEEE International Conference on Big Knowledge (ICBK) 2018
- Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program2018
2017
- Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement LearningIn Conference on Reinforcement Learning and Decision Making 2017
- Big Metadata : Machine Learning on Encrypted CommunicationsIn RSA Conference 2017
- AI Education Through Real World ProblemsIn The Seventh Symposium on Educational Advances in Artificial Intellgience. 2017
2016
- Inter-Arrival Curves for Multi-Mode and Online Anomaly DetectionIn Euromicro Conference on Real-Time Systems 2016 - Work-in-Progress Proceedings 2016
2015
- Answering Simple Questions About Spatially Spreading SystemsIn 2015 Summer Solstice: 7th International Conference on Discrete Models of Complex Systems 2015
2014
2014
2013
- Policy Gradient Optimization Using Equilibrium Policies for Spatial Planning DomainsIn 13th INFORMS Computing Society Conference 2013
2012
2011
2010
2009
2007
2005
- msc-thesisShielding Against Conditioning Side-Effects in Graphical Models2005