David John Gagne II

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 7

Top Topics

Environmental Sciences

Relational Learning

Machine Learning

Top Venues

Publications

Yingkai Sha, Ryan A. Sobash, David John Gagne II
Improving ensemble extreme precipitation forecasts using generative artificial intelligence. CoRR (2024)
John S. Schreck, David John Gagne II, Charlie Becker, William E. Chapman, Kim Elmore, Gabrielle Gantos, Eliot Kim, Dhamma Kimpara, Thomas Martin, Maria J. Molina, Vanessa M. Pryzbylo, Jacob Radford, Belen Saavedra, Justin Willson, Christopher Wirz
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. CoRR (2023)
Da Fan, Steven J. Greybush, David John Gagne II, Eugene E. Clothiaux
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations. CoRR (2023)
Yingkai Sha, Ryan A. Sobash, David John Gagne II
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model. CoRR (2023)
Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. CoRR (2021)
David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model. CoRR (2019)
David John Gagne II, Amy McGovern, Jerald Brotzge, Michael Coniglio, James Correia Jr., Ming Xue
Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models. AAAI (2015)
Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. Mach. Learn. 95 (1) (2014)
David John Gagne II, Amy McGovern, Jerald Brotzge, Ming Xue
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework. ICDM Workshops (2013)
David John Gagne II, Amy McGovern, Ming Xue
Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. CIDU (2012)
Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
Using spatiotemporal relational random forests to improve our understanding of severe weather processes. Stat. Anal. Data Min. 4 (4) (2011)
Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
Severe Weather Processes through Spatiotemporal Relational Random Forests. CIDU (2010)
Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne II, Rodger A. Brown
Spatiotemporal Relational Probability Trees: An Introduction. ICDM (2008)