Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. - Montgomery Flora; Corey K. Potvin; Patrick S. Skinner; Shawn Handler; Amy McGovern (CoRR, 2020)

Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication. - John R. Lawson; Montgomery Flora; Kevin H. Goebbert; Seth N. Lyman; Corey K. Potvin; David M. Schultz; Adam J. Stepánek; Joseph E. Trujillo-Falcón (CoRR, 2024)

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales. - Daniel S. Abdi; Isidora Jankov; Paul Madden; Vanderlei Vargas; Timothy A. Smith; Sergey Frolov; Montgomery Flora; Corey K. Potvin (CoRR, 2025)