On minimum possible volumes of strong Steiner trades. - Nicholas Hamilton; Abdollah Khodkar (Australas. J Comb., 1999)

Evaluation of Image Spatial Resolution for Machine Learning Mapping of Wildland Fire Effects. - Dale A. Hamilton; Nicholas Hamilton; Barry Myers (IntelliSys (1), 2018)

Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using Machine Learning Trained from Localized Hyperspatial Imagery. - Dale A. Hamilton; Enoch Levandovsky; Nicholas Hamilton (Remote. Sens., 2020)

Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME). - Nicholas Hamilton; Adam Webb; Matt Wilder; Ben Hendrickson; Matt Blanck; Erin Nelson; Wiley Roemer; Timothy C. Havens (SSCI, 2022)

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. - Alex Rybchuk; Malik Hassanaly; Nicholas Hamilton; Paula Doubrawa; Mitchell J. Fulton; Luis A. Martínez-Tossas (CoRR, 2023)

Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence. - Alex Rybchuk; Luis A. Martínez-Tossas; Stefano Letizia; Nicholas Hamilton; Andy Scholbrock; Emina Maric; Daniel R. Houck; Thomas G. Herges; Nathaniel B. de Velder; Paula Doubrawa (CoRR, 2024)