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Mark Crowley
Mark Crowley
Associate 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
4532020
The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1905.12787, 2019
2052019
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
1342019
Eigenvalue and generalized eigenvalue problems: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1903.11240, 2019
1262019
Linear and quadratic discriminant analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.02590, 2019
1232019
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
1082013
Deep multi agent reinforcement learning for autonomous driving
S Bhalla
University of Waterloo, 2020
532020
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
512017
Using spatial reinforcement learning to build forest wildfire dynamics models from satellite images
S Ganapathi Subramanian, M Crowley
Frontiers in ICT 5, 6, 2018
502018
Fisher and kernel Fisher discriminant analysis: Tutorial
B Ghojogh, F Karray, M Crowley
arXiv preprint arXiv:1906.09436, 2019
492019
Multidimensional Scaling, Sammon Mapping, and Isomap
B Ghojogh, M Crowley, F Karray, A Ghodsi
Elements of Dimensionality Reduction and Manifold Learning, 185-205, 2023
402023
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
372020
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
362016
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\" om Method, and Use of Kernels in Machine Learning: Tutorial and Survey
B Ghojogh, A Ghodsi, F Karray, M Crowley
arXiv preprint arXiv:2106.08443, 2021
342021
Locally linear embedding and its variants: Tutorial and survey
B Ghojogh, A Ghodsi, F Karray, M Crowley
arXiv preprint arXiv:2011.10925, 2020
342020
Fitting a mixture distribution to data: tutorial
B Ghojogh, A Ghojogh, M Crowley, F Karray
arXiv preprint arXiv:1901.06708, 2019
342019
Factor analysis, probabilistic principal component analysis, variational inference, and variational autoencoder: Tutorial and survey
B Ghojogh, A Ghodsi, F Karray, M Crowley
arXiv preprint arXiv:2101.00734, 2021
322021
Unsupervised and supervised principal component analysis: Tutorial
B Ghojogh, M Crowley
arXiv preprint arXiv:1906.03148, 2019
322019
The Theory Behind Overfitting
B Ghojogh, M Crowley
Cross Validation, Regularization, Bagging, and Boosting: Tutorial. arXiv 1905, 2019
322019
Elements of dimensionality reduction and manifold learning
B Ghojogh, M Crowley, F Karray, A Ghodsi
Springer Nature, 2023
312023
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