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Big Data in Climate: Opportunities and Challenges for Machine Learning.

, and . KDD, page 21-22. ACM, (2017)

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SIGAI annual report: July 1 2020 - June 30 2021., , , , , , , , , and . AI Matters, 7 (3): 5-11 (2021)Welcome to AI matters 8(2)., and . AI Matters, 8 (2): 3 (2022)SIGAI Annual Report: July 1 2022 - August 30 2023., , , , , , , , , and . AI Matters, 9 (3): 4-9 (September 2023)Welcome to AI matters 5(4)., , and . AI Matters, 5 (4): 3-4 (2019)A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning., , and . CoRR, (2021)GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization., , and . CoRR, (2020)Spatio-Temporal Data Mining: A Survey of Problems and Methods., , and . ACM Comput. Surv., 51 (4): 83:1-83:41 (2018)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2020)Machine Learning for the Geosciences: Challenges and Opportunities., , , , and . CoRR, (2017)Predictive Learning in the Presence of Heterogeneity and Limited Training Data., , , and . SDM, page 253-261. SIAM, (2014)