Predicting property damage from tornadoes with deep learning. - Jeremy Diaz 001; Maxwell B. Joseph (CoRR, 2018)

Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery. - Joe McGlinchy; Brian Johnson; Brian Muller; Maxwell B. Joseph; Jeremy Diaz 001 (IGARSS, 2019)

'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals. - Lise Ann St. Denis; Amanda Lee Hughes; Jeremy Diaz 001; Kylen Solvik; Maxwell B. Joseph; Jennifer K. Balch (ISCRAM, 2020)

Classifying Twitter Users for Disaster Response: A Highly Multimodal or Simple Approach? - Jeremy Diaz 001; Lise Ann St. Denis; Maxwell B. Joseph; Kylen Solvik; Jennifer K. Balch (ISCRAM, 2020)

Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series. - Jeremy Diaz 001; Guido Cervone; Christelle Wauthier (CoRR, 2021)

Technical Design of Computer Hoteling Stations for a Hybrid Work Modality. - Dan R. Herrick; Jeremy B. Diaz (SIGUCCS, 2022)

Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations. - Jacob Zwart; Jeremy Diaz 001; Scott Hamshaw; Samantha Oliver; Jesse C. Ross; Margaux Sleckman; Alison P. Appling; Hayley Corson-Dosch; Xiaowei Jia; Jordan S. Read; Jefferey Sadler; Theodore Thompson; et al. (Zenodo, 2023)

Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm. - Jeremy Diaz 001; Samantha Oliver; Galen Gorski (Environ. Model. Softw., 2025)