John S. Schreck

According to our database, John S. Schreck authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management.

John S. Schreck, William Petzke, Pedro A. Jimenez, Thomas Brummet, Jason C. Knievel, Eric James, Branko Kosovic, David John Gagne

Remote. Sens., July, 2023

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications.

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 D. Wirz

CoRR, 2023

Mimicking non-ideal instrument behavior for hologram processing using neural style translation.

John S. Schreck, Matthew Hayman, Gabrielle Gantos, Aaron Bansemer, David John Gagne

CoRR, 2023

2022

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection.

Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, Petr Sulc

PLoS Comput. Biol., September, 2022

Neural network processing of holographic images.

John S. Schreck, Gabrielle Gantos, Matthew Hayman, Aaron Bansemer, David John Gagne

CoRR, 2022

2019

Learning retrosynthetic planning through self-play.

John S. Schreck, Connor W. Coley, Kyle J. M. Bishop

CoRR, 2019