Author Keyword Title Type [ Year(Asc)]
S. G. Subramanian and Crowley, M. , Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement Learning, in Conference on Reinforcement Learning and Decision Making, Ann Arbor, MI, USA., 2017.
S. Maryam, McCrackin, L. , Crowley, M. , Rathi, Y. , and Michailovich, O. , Application of Probabilistically-Weighted Graphs to Image-Based Diagnosis of Alzheimer’s Disease using Diffusion MRI., in SPIE Medical Imaging Conference on Computer-Aided Diagnosis, Orlando, FL, United States, 2017, vol. 10134.
M. Salem, Crowley, M. , and Fischmeister, S. , Anomaly Detection Using Inter-Arrival Curves for Real-time Systems, in 2016 28th Euromicro Conference on Real-Time Systems, Toulouse, France, 2016, pp. 97–106.
M. Salem, Crowley, M. , and Fischmeister, S. , Inter-Arrival Curves for Multi-Mode and Online Anomaly Detection, in Euromicro Conference on Real-Time Systems 2016 - Work-in-Progress Proceedings, Toulouse, France, 2016.
M. Crowley, Answering Simple Questions About Spatially Spreading Systems, in 2015 Summer Solstice: 7th International Conference on Discrete Models of Complex Systems, 2015.
M. A. Taleghan, Dietterich, T. G. , Crowley, M. , Hall, K. , and Albers, H. J. , PAC Optimal MDP Planning with Application to Invasive Species Management, Journal of Machine Learning Research, vol. 16, pp. 3877–3903, 2015.
M. Crowley, Using equilibrium policy gradients for spatiotemporal planning in forest ecosystem management, IEEE Transactions on Computers, vol. 63, no. 1, pp. 142–154, 2014.
R. M. Houtman et al., Allowing a wildfire to burn: Estimating the effect on future fire suppression costs, International Journal of Wildland Fire, vol. 22, no. 7, pp. 871–882, 2013.
D. Poole and Crowley, M. , Cyclic causal models with discrete variables: Markov chain equilibrium semantics and sample ordering, in IJCAI International Joint Conference on Artificial Intelligence, Beijing, China, 2013, pp. 1060–1068.
T. G. Dietterich, Taleghan, M. A. , and Crowley, M. , PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs, in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2013), Bellevue, WA, USA, 2013, p. 7.
M. Crowley, Policy Gradient Optimization Using Equilibrium Policies for Spatial Planning Domains, in 13th INFORMS Computing Society Conference, Santa Fe, NM, United States, 2013.
K. Hall, Taleghan, M. A. , Albers, H. J. , Dietterich, T. , and Crowley, M. , Managing Invasive Species in a River Network, in Third International Conference on Computational Sustainability, Copenhagen, Denmark, 2012.
M. Crowley, Equilibrium Policy Gradients for Spatiotemporal Planning, University of British Columbia, 2011.
M. Crowley and Poole, D. , Policy gradient planning for environmental decision making with existing simulators, in Proceedings of the National Conference on Artificial Intelligence, San Francisco, 2011, vol. 2, no. 1, pp. 1323–1330.
E. Patitsas, Voll, K. , Crowley, M. , and Wolfman, S. , Circuits and logic in the lab : Toward a coherent picture of computation, in 15th Western Canadian Conference on Computing Education, Kelowna, BC, Canada, 2010.
M. Crowley, Nelson, J. , and Poole, D. , Seeing the Forest Despite the Trees : Large Scale Spatial-Temporal Decision Making, in Conference on Uncertainty in Artificial Intelligence (UAI09), Montreal, Canada, 2009, pp. 126–134.
M. Crowley, Boerlage, B. , Poole, D. , Kobti, Z. , and Wu, D. , Adding Local Constraints to Bayesian Networks, in Advances in Artificial Intelligence, 4509th ed., vol. 4509, Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 344–355.
M. Crowley, Evaluating Influence Diagrams, Unpublished Working Paper. 2004.