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Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning., , , , and . Mach. Learn., 95 (1): 27-50 (2014)Creating significant learning experiences in introductory artificial intelligence., and . SIGCSE, page 39-43. ACM, (2007)Steerable Clustering for Visual Analysis of Ecosystems., , , and . EuroVA@EuroVis, Eurographics Association, (2011)Spatiotemporal Relational Probability Trees: An Introduction., , , , and . ICDM, page 935-940. IEEE Computer Society, (2008)Severe Weather Processes through Spatiotemporal Relational Random Forests., , , , , , , and . CIDU, page 213-227. NASA Ames Research Center, (2010)Welcome to AI matters, volume 3, issue 2., and . AI Matters, 3 (2): 3 (2017)Mobile Agents on the Digital Battlefield., , and . Agents, page 219-225. ACM, (1998)Machine Learning Estimation of Maximum Vertical Velocity from Radar., , , , and . CoRR, (2023)Hierarchical Control of Markov Decision Processes, , , , and . Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, page 186--191. (1998)Autonomous Discovery of Abstractions through Interaction with an Environment.. SARA, volume 2371 of Lecture Notes in Computer Science, page 338-339. Springer, (2002)