Corey K. Potvin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Dimensionality Reduction

Weather Prediction

Data Mining Process

Top Venues

Publications

John R. Lawson, Montgomery Flora, Kevin H. Goebbert, Seth N. Lyman, Corey K. Potvin, David M. Schultz, Adam J. Stepanek, Joseph E. Trujillo-Falcón
Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication. CoRR (2024)
Randy J. Chase, Amy McGovern, Cameron Homeyer, Peter Marinescu, Corey K. Potvin
Machine Learning Estimation of Maximum Vertical Velocity from Radar. CoRR (2023)
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. CoRR (2022)
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement. CoRR (2022)
Montgomery Flora, Corey K. Potvin, Patrick S. Skinner, Shawn Handler, Amy McGovern
Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. CoRR (2020)
Robert Jackson, Scott Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson
PyDDA: A new Pythonic Wind Retrieval Package. SciPy (2019)
Greg Foss, Amy McGovern, Corey K. Potvin, B. Dahl, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul, Nick Sehy
Spot the Difference: Tornado Visualizations. PEARC (2017)
Greg Foss, Amy McGovern, Corey K. Potvin, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul
Data Mining Tornadogenesis Precursors. EGPGV@EuroVis (2016)