Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth. - Amy I. Parkes; Adam J. Sobey; D. A. Hudson (CoRR, 2021)

Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers. - Amy I. Parkes; Josef Camilleri; D. A. Hudson; Adam J. Sobey (CoRR, 2021)

Power prediction for a vessel without recorded data using data fusion from a fleet of vessels. - Amy I. Parkes; T. D. Savasta; Adam J. Sobey; D. A. Hudson (Expert Syst. Appl., 2022)

Robust approximation of the conditional mean for applications of Machine Learning. - Amy I. Parkes; Josef Camilleri; Dominic Hudson; Adam J. Sobey (Appl. Soft Comput., 2024)

More consistent learnt relationships in regression neural networks using Fit to Median error measure. - Amy I. Parkes; Adam J. Sobey; Dominic Hudson (Eng. Appl. Artif. Intell., 2025)