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Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning., , , , и . Mach. Learn., 95 (1): 27-50 (2014)ACM SIGAI activity report., , , , , , , , , и 7 other автор(ы). AI Matters, 5 (3): 6-11 (2019)AI profiles: an interview with Maja Matarić., и . AI Matters, 3 (3): 12-14 (2017)A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning., , , , и . CoRR, (2022)A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence., , , , , , , , , и 9 other автор(ы). AI Mag., 36 (3): 99-106 (2015)Using spatiotemporal relational random forests to improve our understanding of severe weather processes., , , , , и . Stat. Anal. Data Min., 4 (4): 407-429 (2011)Welcome to AI matters 5(2)., и . AI Matters, 5 (2): 3 (2019)Creating significant learning experiences in introductory artificial intelligence., и . SIGCSE, стр. 39-43. ACM, (2007)Steerable Clustering for Visual Analysis of Ecosystems., , , и . EuroVA@EuroVis, Eurographics Association, (2011)Spatiotemporal Relational Probability Trees: An Introduction., , , , и . ICDM, стр. 935-940. IEEE Computer Society, (2008)