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ORCIDJohn S. Schreck
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2020 – today
- 2023
[j2]John S. Schreck
, William Petzke, Pedro A. Jimenez, Thomas Brummet, Jason C. Knievel, Eric James, Branko Kosovic, David John Gagne:
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management. Remote. Sens. 15(13): 3372 (2023)- [i5]John S. Schreck, Matthew Hayman, Gabrielle Gantos, Aaron Bansemer, David John Gagne:
Mimicking non-ideal instrument behavior for hologram processing using neural style translation. CoRR abs/2301.02757 (2023) - [i4]John S. Schreck, William Petzke, Pedro A. Jimenez, Thomas Brummet, Jason C. Knievel, Eric James, Branko Kosovic, David John Gagne:
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management. CoRR abs/2305.11910 (2023) - [i3]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:
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. CoRR abs/2309.13207 (2023) - 2022
- [j1]Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, Petr Sulc:
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. PLoS Comput. Biol. 18(9): 1010561 (2022) - [i2]John S. Schreck, Gabrielle Gantos, Matthew Hayman, Aaron Bansemer, David John Gagne:
Neural network processing of holographic images. CoRR abs/2203.08898 (2022)
2010 – 2019
- 2019
- [i1]John S. Schreck, Connor W. Coley, Kyle J. M. Bishop:
Learning retrosynthetic planning through self-play. CoRR abs/1901.06569 (2019)
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