Contributed Papers
Machine Learning/Artificial Intelligence with atmospheric science applications
Lyndsay ShandChair
Section on Statistics and the Environment
7 Presentations
Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Tests
10:35 AM - 10:50 AM
Shijie Zhou (Florida State University)
10:50 AM - 11:05 AM
Jacob Johnson (Brigham Young University)
Co-authors: Matthew Heaton (Brigham Young University), William Christensen (Brigham Young University), Summer Rupper (University of Utah)
11:05 AM - 11:20 AM
Co-authors: Kevin Chen (Harvard University), Falco Bargagli Stoffi (Harvard University), Rachel Nethery (Harvard T.H. Chan School of Public Health)
Integrating variational autoencoder in the modeling of spatial extremes on high-resolution satellite
11:20 AM - 11:35 AM
Xiaoyu Ma (University of Missouri)
Co-authors: Likun Zhang (University of Missouri-Columbia), Christopher Wikle (University of Missouri-Columbia), Raphael Huser (KAUST)
11:35 AM - 11:50 AM
11:50 AM - 12:05 PM
Pratik Nag (KAUST)
Co-authors: Ying Sun (King Abdullah University of Science and Technology), Brian Reich (North Carolina State University)
Utilizing U-NET Semantic Segmentation on Landcover Satellite Imagery to Analyze Smallholder Cropland
12:05 PM - 12:20 PM
Aryan Saha (Princeton University)
Session participants
Participant