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Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management., , , , , , , and . CoRR, (2023)Mimicking non-ideal instrument behavior for hologram processing using neural style translation., , , , and . CoRR, (2023)Neural network processing of holographic images., , , , and . CoRR, (2022)The History and Practice of AI in the Environmental Sciences, , , , , , , , , and . Bulletin of the American Meteorological Society, 103 (5): E1351--E1370 (May 2022)Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning., , , , and . Mach. Learn., 95 (1): 27-50 (2014)Using spatiotemporal relational random forests to improve our understanding of severe weather processes., , , , , and . Stat. Anal. Data Min., 4 (4): 407-429 (2011)Spatiotemporal Relational Probability Trees: An Introduction., , , , and . ICDM, page 935-940. IEEE Computer Society, (2008)Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model., , and . CoRR, (2023)Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations., , , and . CoRR, (2023)Severe Weather Processes through Spatiotemporal Relational Random Forests., , , , , , , and . CIDU, page 213-227. NASA Ames Research Center, (2010)