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106 * Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
AI and Deep Models for Spatial and Spatio-Temporal Data — Invited Papers
Section on Statistics and the Environment
Organizer(s): Andrew Zammit-Mangion, University of Wollongong
Chair(s): Sudipto Banerjee, UCLA School of Public Health
1:05 PM Inverse Reinforcement Learning with Uncertainty Quantification for Resource Selection in Collective Animal Systems
Christopher Wikle, University of Missouri; Toryn Schafer, University of Missouri
1:35 PM Random Forests in Spatial Mixed Models
Abhi Datta, Johns Hopkins University; Arkajyoti Saha, Johns Hopkins University; Sumanta Basu, Cornell University
2:05 PM Deep Learning for Extreme Weather Detection
Mr Prabhat, Lawrence Berkeley National Laboratory; Karthik Kashinath, Lawrence Berkeley National Lab; Michael Wehner, Lawrence Berkeley National Lab; William Collins, Lawrence Berkeley National Lab
2:35 PM Floor Discussion