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John S. Schreck
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2020 – today
- 2023
- [j2]John S. Schreck
, William Petzke, Pedro A. Jimenez, Thomas Brummet
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
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. CoRR abs/2309.13207 (2023) - 2022
- [j1]Andrea Di Gioacchino
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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