Predicting seagrass decline due to cumulative stressors. - Matthew P. Adams; Edwin J. Y. Koh; Maria P. Vilas; Catherine J. Collier; Victoria M. Lambert; Scott A. Sisson; Matias Quiroz; Eve McDonald-Madden; Len J. McKenzie; Katherine R. O'Brien (Environ. Model. Softw., 2020)

Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images. - Matthew P. Adams; Arman Rahmim; Jing Tang 005 (Comput. Biol. Medicine, 2021)

Strategic model reduction by analysing model sloppiness: A case study in coral calcification. - Sarah A. Vollert; Christopher C. Drovandi; Gloria M. Monsalve-Bravo; Matthew P. Adams (Environ. Model. Softw., 2023)

TALKS: A systematic framework for resolving model-data discrepancies. - Maria P. Vilas; Felix Egger; Matthew P. Adams; Holger R. Maier; Barbara J. Robson; Jonathan Ferrer-Mestres; Lachlan K. Stewart; Paul Maxwell; Katherine R. O'Brien (Environ. Model. Softw., 2023)

Unlocking ensemble ecosystem modelling for large and complex networks. - Sarah A. Vollert; Christopher C. Drovandi; Matthew P. Adams (PLoS Comput. Biol., 2024)

A generalised sigmoid population growth model with energy dependence: Application to quantify the tipping point for Antarctic shallow seabed algae. - Elise Mills; Graeme F. Clark; Matthew J. Simpson; Mark E. Baird; Matthew P. Adams (Environ. Model. Softw., 2025)