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ORCIDJeremy Diaz 0001
Person information
- affiliation: U.S. Geological Survey, Water Mission Area, Reston, VA, USA
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2020 – today
- 2025
[j1]Jeremy Diaz
, Samantha Oliver, Galen Gorski:
Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm. Environ. Model. Softw. 193: 106655 (2025)- 2023
- [d1]Jacob Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan S. Read, Jefferey Sadler, Theodore Thompson, William Watkins, Ellie White:
Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations. Zenodo, 2023
- 2022
- [c4]Dan R. Herrick, Jeremy B. Diaz:
Technical Design of Computer Hoteling Stations for a Hybrid Work Modality. SIGUCCS 2022: 30-33 - 2021
- [i2]Jeremy Diaz, Guido Cervone, Christelle Wauthier:
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series. CoRR abs/2109.12767 (2021) - 2020
- [c3]Lise Ann St. Denis, Amanda Lee Hughes, Jeremy Diaz, Kylen Solvik, Maxwell B. Joseph, Jennifer K. Balch:
'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals. ISCRAM 2020: 730-743 - [c2]Jeremy Diaz, Lise Ann St. Denis, Maxwell B. Joseph, Kylen Solvik, Jennifer K. Balch:
Classifying Twitter Users for Disaster Response: A Highly Multimodal or Simple Approach? ISCRAM 2020: 774-789
2010 – 2019
- 2019
- [c1]Joe McGlinchy, Brian Johnson, Brian Muller, Maxwell B. Joseph, Jeremy Diaz:
Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery. IGARSS 2019: 3915-3918 - 2018
- [i1]Jeremy Diaz, Maxwell B. Joseph:
Predicting property damage from tornadoes with deep learning. CoRR abs/1807.03456 (2018)
Coauthor Index
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