Bayesian Deep Learning for Passive Microwave Precipitation Type Detection. - Marko Orescanin; Veljko Petkovic; Scott W. Powell; Benjamin R. Marsh; Sean C. Heslin (IEEE Geosci. Remote. Sens. Lett., 2022)

Decomposing Satellite-Based Classification Uncertainties in Large Earth Science Datasets. - Pedro Ortiz; Marko Orescanin; Veljko Petkovic; Scott W. Powell; Benjamin R. Marsh (IEEE Trans. Geosci. Remote. Sens., 2022)

Utilizing Quantified Uncertainty in Synthetic Microwave Brightness Temperatures to Reveal Hidden Tropical Cyclone Structures. - Eleanor Casas; Pedro Ortiz; Marko Orescanin; Scott W. Powell; Malarvizhi Arulaj; Veljko Petkovic (IGARSS, 2023)

Improving Deep Learning for Remote Sensing Research through a Bayesian Approach with Uncertainty Decomposition. - Pedro Ortiz; Eleanor Casas; Marko Orescanin; Scott W. Powell; Veljko Petkovic (IGARSS, 2023)

Scaling Uncertainty Quantification From Patches to Scenes Through Discontinuity-Aware Stitching. - Stephen Steckler; Marko Orescanin; Scott W. Powell; Pedro Ortiz; Veljko Petkovic (IEEE Geosci. Remote. Sens. Lett., 2024)