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Journal Articles
- 2024
[j6]Amy McGovern
, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz:
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Mag. 45(1): 105-110 (2024)- 2014
- [j5]Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara:
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. Mach. Learn. 95(1): 27-50 (2014) - [j4]John K. Williams:
Using random forests to diagnose aviation turbulence. Mach. Learn. 95(1): 51-70 (2014) - 2013
- [j3]Amy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy:
Enhanced spatiotemporal relational probability trees and forests. Data Min. Knowl. Discov. 26(2): 398-433 (2013) - 2011
- [j2]Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams:
Using spatiotemporal relational random forests to improve our understanding of severe weather processes. Stat. Anal. Data Min. 4(4): 407-429 (2011) - 1991
- [j1]Stephen L. Snover, Charles Waiveris, John K. Williams:
Rep-tiling for triangles. Discret. Math. 91(2): 193-200 (1991)
Conference and Workshop Papers
- 2016
- [c4]John K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald:
Adaptable Regression Method for Ensemble Consensus Forecasting. AAAI 2016: 3915-3921 - 2010
- [c3]Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams:
Severe Weather Processes through Spatiotemporal Relational Random Forests. CIDU 2010: 213-227 - 2009
- [c2]Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy:
Spatiotemporal Relational Random Forests. ICDM Workshops 2009: 630-635 - 1998
- [c1]John K. Williams, Satinder Singh:
Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes. NIPS 1998: 1073-1080
Coauthor Index
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