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ORCIDCorey K. Potvin
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- affiliation: University of Oklahoma, Cooperative Institute for Mesoscale Meteorological Studies, Norman, OK, USA
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2020 – today
- 2024
[i5]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 abs/2404.15166 (2024)- 2023
- [i4]Randy J. Chase, Amy McGovern, Cameron Homeyer, Peter Marinescu, Corey K. Potvin:
Machine Learning Estimation of Maximum Vertical Velocity from Radar. CoRR abs/2310.09392 (2023) - 2022
- [i3]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 abs/2211.08943 (2022) - [i2]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 abs/2211.10378 (2022) - 2020
- [i1]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 abs/2012.00679 (2020)
2010 – 2019
- 2019
- [c3]Robert Jackson, Scott M. Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson:
PyDDA: A new Pythonic Wind Retrieval Package. SciPy 2019: 111-117 - 2017
- [c2]Greg Foss, Amy McGovern, Corey K. Potvin, Brittany A. Dahl, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul, Nick Sehy:
Spot the Difference: Tornado Visualizations. PEARC 2017: 76:1-76:3 - 2016
- [c1]Greg Foss, Amy McGovern, Corey K. Potvin, Greg Abram, Anne Bowen, Neena Hulkoti, Arnav Kaul:
Data Mining Tornadogenesis Precursors. EGPGV@EuroVis 2016: 99
Coauthor Index
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