Machine Learning Lab
Explore the UWECEML lab research by Domains, Methods and Tasks.
Partially Observable Mean Field Reinforcement Learning. In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS). 3–7 May. London, United Kingdom: International Foundation for Autonomous Agents and Multiagent Systems, pp. 537-545.
, 2021. A review of machine learning applications in wildfire science and management. Environmental Reviews, 28(3), p.73. Available at: https://www.nrcresearchpress.com/doi/10.1139/er-2020-0019#.X1jbKtNKhTY. Publisher's Version
, 2020. Isolation Mondrian Forest for Batch and Online Anomaly Detection. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020. Available at: arXiv preprint arXiv:2003.03692. Also available at:
, 2020. Autoline.tv interview about our Driver Behaviour Learning project with Magna International
, 2021.
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. In International Conference on Intelligent Systems and Computer Vision (ISCV 2020) . Fez-Morrocco (virtual): IEEE, p. 8. Available at: https://arxiv.org/abs/2007.02200. Preprint
, 2020.
Adaptation Through Learning: Using Machine Learning to Improve Forest Wildfire Management
Thursday, June 18, 2020:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20). 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20): IEEE Engineering in Medicine and Biology Society. Available at: https://embs.papercept.net/conferences/scripts/rtf/EMBC20_ContentListWeb_1.html#moat2-15_02. Conference Description
, 2020. Adaptation Through Learning: Using Machine Learning to Improve Forest Wildfire Management
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. In IEEE International Joint Conference on Neural Networks (IJCNN). Glasgow, UK: IEEE.
, 2020. Course News (ECE 657A W20)
Waterloo professor says artificial intelligence is a useful tool to help fight wildfires
Fighting wildfires with artificial intelligence
Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks,
at
European Conference on Machine Learning (ECML 2019), Wurzburg, Germany,
Thursday, September 19, 2019:
Learning Multi-Agent Communication with Reinforcement Learning. In Conference on Reinforcement Learning and Decision Making (RLDM-19). Montreal, Canada., p. 4.
, 2019.