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Mark Crowley
Mark Crowley
Assistant Professor, Electrical and Computer Engineering, University of Waterloo, Waterloo
Verified email at uwaterloo.ca - Homepage
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Cited by
Year
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
1612020
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
962013
The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1905.12787, 2019
942019
Eigenvalue and generalized eigenvalue problems: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1903.11240, 2019
722019
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
712019
Linear and quadratic discriminant analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.02590, 2019
662019
Using spatial reinforcement learning to build forest wildfire dynamics models from satellite images
S Ganapathi Subramanian, M Crowley
Frontiers in ICT 5, 6, 2018
322018
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
322016
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
282017
Deep multi agent reinforcement learning for autonomous driving
S Bhalla
University of Waterloo, 2020
272020
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
272015
Fisher and kernel Fisher discriminant analysis: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1906.09436, 2019
262019
Unsupervised and supervised principal component analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.03148, 2019
242019
Multidimensional scaling, sammon mapping, and isomap: Tutorial and survey
B Ghojogh, A Ghodsi, F Karray, M Crowley
arXiv preprint arXiv:2009.08136, 2020
232020
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
222013
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
192020
Locally linear embedding and its variants: Tutorial and survey
B Ghojogh, A Ghodsi, F Karray, M Crowley
arXiv preprint arXiv:2011.10925, 2020
172020
Distributed nonlinear model predictive control and metric learning for heterogeneous vehicle platooning with cut-in/cut-out maneuvers
MH Basiri, B Ghojogh, NL Azad, S Fischmeister, F Karray, M Crowley
2020 59th IEEE Conference on Decision and Control (CDC), 2849-2856, 2020
162020
Compact representation of a multi-dimensional combustion manifold using deep neural networks
S Bhalla, M Yao, JP Hickey, M Crowley
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
152019
Fitting a mixture distribution to data: tutorial
B Ghojogh, A Ghojogh, M Crowley, F Karray
arXiv preprint arXiv:1901.06708, 2019
152019
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