Measurable Counterfactual Local Explanations for Any Classifier. - Adam White 002; Artur S. d'Avila Garcez (ECAI, 2020)

Counterfactual Instances Explain Little. - Adam White 002; Artur S. d'Avila Garcez (CoRR, 2021)

Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI. - Adam White 002; Margarita Saranti; Artur S. d'Avila Garcez; Thomas M. H. Hope; Cathy J. Price; Howard Bowman (CoRR, 2023)

Contrastive counterfactual visual explanations with overdetermination. - Adam White 002; Kwun Ho Ngan; James Phelan; Kevin Ryan; Saman Sadeghi Afgeh; Constantino Carlos Reyes-Aldasoro; Artur S. d'Avila Garcez (Mach. Learn., 2023)