Greta Warren

Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI

Mark T. Keane, R. Byrne, Greta Warren, 2022, CAKR@IJCAI.

Young and restless, old and focused: Age-differences in mind-wandering frequency and phenomenology.

David P. McGovern, A. Smeaton, P. Dockree, 2021, Psychology and aging.

Categorical and Continuous Features in Counterfactual Explanations of AI Systems

R. Byrne, Markt. Keane, Greta Warren, 2023, IUI.

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals

Markt. Keane, Christophe Guéret, Greta Warren, 2023, ArXiv.

"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)

Mark T. Keane, Barry Smyth, Greta Warren, 2022, ICCBR.