Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning. - Kelsey Doerksen; Yarin Gal; Freddie Kalaitzis; Cristian Rossi; David Petit; Sihan Li; Simon J. Dadson (IGARSS, 2023)

Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings. - Kelsey Doerksen; Casper Fibaek; Rochelle Schneider; Do-Hyung Kim; Isabelle Tingzon (CoRR, 2024)

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning. - Kelsey Doerksen; Yuliya Marchetti; Steven Lu; Kevin Bowman; James Montgomery; Kazuyuki Miyazaki; Yarin Gal; Freddie Kalaitzis (CoRR, 2025)

Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates. - Kelsey Doerksen; Yuliya Marchetti; Kevin Bowman; Steven Lu; James Montgomery; Yarin Gal; Freddie Kalaitzis; Kazuyuki Miyazaki (CoRR, 2025)