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 | 482 | 2020 |
The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial B Ghojogh, M Crowley arXiv preprint arXiv:1905.12787, 2019 | 231 | 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 | 142 | 2019 |
Eigenvalue and generalized eigenvalue problems: Tutorial B Ghojogh, F Karray, M Crowley arXiv preprint arXiv:1903.11240, 2019 | 134 | 2019 |
Linear and quadratic discriminant analysis: Tutorial B Ghojogh, M Crowley arXiv preprint arXiv:1906.02590, 2019 | 127 | 2019 |
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 | 107 | 2013 |
Deep multi agent reinforcement learning for autonomous driving S Bhalla University of Waterloo, 2020 | 59 | 2020 |
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 | 54 | 2017 |
Using spatial reinforcement learning to build forest wildfire dynamics models from satellite images S Ganapathi Subramanian, M Crowley Frontiers in ICT 5, 6, 2018 | 52 | 2018 |
Multidimensional Scaling, Sammon Mapping, and Isomap B Ghojogh, M Crowley, F Karray, A Ghodsi Elements of Dimensionality Reduction and Manifold Learning, 185-205, 2023 | 43 | 2023 |
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 | 41 | 2020 |
Elements of dimensionality reduction and manifold learning B Ghojogh, M Crowley, F Karray, A Ghodsi Springer, 2023 | 37 | 2023 |
Fitting a mixture distribution to data: tutorial B Ghojogh, A Ghojogh, M Crowley, F Karray arXiv preprint arXiv:1901.06708, 2019 | 37 | 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 | 37 | 2016 |
The Theory Behind Overfitting B Ghojogh, M Crowley Cross Validation, Regularization, Bagging, and Boosting: Tutorial. arXiv 1905, 2019 | 35 | 2019 |
Isolation Mondrian forest for batch and online anomaly detection H Ma, B Ghojogh, MN Samad, D Zheng, M Crowley 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 30 | 2020 |
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 | 29 | 2020 |
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 | 29 | 2015 |
KKT conditions, first-order and second-order optimization, and distributed optimization: tutorial and survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2110.01858, 2021 | 28 | 2021 |
Generative adversarial networks and adversarial autoencoders: Tutorial and survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2111.13282, 2021 | 26 | 2021 |