David John Gagne II
Orcid: 0000-0002-0469-2740Affiliations:
- National Center for Atmospheric Research, Boulder, CO, USA
According to our database1,
David John Gagne II
authored at least 15 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management.
Remote. Sens., July, 2023
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations.
CoRR, 2023
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model.
CoRR, 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications.
CoRR, 2023
Mimicking non-ideal instrument behavior for hologram processing using neural style translation.
CoRR, 2023
2022
2021
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences.
CoRR, 2021
2019
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model.
CoRR, 2019
2015
Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.
Mach. Learn., 2014
2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012
2011
Using spatiotemporal relational random forests to improve our understanding of severe weather processes.
Stat. Anal. Data Min., 2011
2010
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008