Mark Crowley
Mark Crowley
Assistant Professor, Electrical and Computer Engineering, University of Waterloo, Waterloo
Verified email at - Homepage
Cited by
Cited by
Allowing a wildfire to burn: Estimating the effect on future fire suppression costs
R Houtman, C Montgomery, A Gagnon, D Calkin, T Dietterich, ...
International Journal of Wildland Fire, 2013
The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1905.12787, 2019
A review of machine learning applications in wildfire science and management.
SCP Coogan, P Jain, S Ganapathi Subramanian, S Taylor, M Crowley, ...
Environmental Reviews 28 (4), 2020
Eigenvalue and generalized eigenvalue problems: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1903.11240, 2019
Feature selection and feature extraction in pattern analysis: A literature review
B Ghojogh, MN Samad, SA Mashhadi, T Kapoor, W Ali, F Karray, ...
arXiv preprint arXiv:1905.02845, 2019
Linear and quadratic discriminant analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.02590, 2019
Anomaly detection using inter-arrival curves for real-time systems
M Salem, M Crowley, S Fischmeister
2016 28th Euromicro Conference on Real-Time Systems (ECRTS), 97-106, 2016
PAC optimal MDP planning with application to invasive species management
MA Taleghan, TG Dietterich, M Crowley, K Hall, HJ Albers
The Journal of Machine Learning Research 16 (1), 3877-3903, 2015
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs
TG Dietterich, M Taleghan, M Crowley
The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), 2013
Using spatial reinforcement learning to build forest wildfire dynamics models from satellite images
S Ganapathi Subramanian, M Crowley
Frontiers in ICT 5, 6, 2018
Unsupervised and supervised principal component analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.03148, 2019
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
E Eaton, S Koenig, C Schulz, F Maurelli, J Lee, J Eckroth, M Crowley, ...
AI Matters 3 (4), 23-31, 2017
Fisher and kernel Fisher discriminant analysis: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1906.09436, 2019
Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering.
D Poole, M Crowley
The International Joint Conference on Artificial Intelligence (IJCAI), 1060-1068, 2013
Policy gradient planning for environmental decision making with existing simulators
M Crowley, D Poole
Proceedings of the Twenty-Fifth Conference on Artificial Intelligence …, 2011
Evaluating Influence Diagrams
M Crowley
Unpublished Report, 2004
Deep multi agent reinforcement learning for autonomous driving
S Bhalla
University of Waterloo, 2020
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
B Ghojogh, M Sikaroudi, S Shafiei, HR Tizhoosh, F Karray, M Crowley
arXiv preprint arXiv:2004.04674, 2020
Fitting a mixture distribution to data: tutorial
B Ghojogh, A Ghojogh, M Crowley, F Karray
arXiv preprint arXiv:1901.06708, 2019
Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement Learning
SG Subramanian, M Crowley
Conference on Reinforcement Learning and Decision Making, 5, 2017
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