In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery

Jacquelyn Ann Shelton, Przemyslaw Piotr Polewski, Wei Yao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Original languageEnglish
Title of host publication ICML 2020 Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech
Publication statusPublished - Sep 2020

Cite this