2 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Optimal Recourse Summaries via Bi-Objective Decision Tree Learning
Ioannis Chatzis, Jason Liartis, Athanasios Voulodimos +1
Actionable Recourse provides individuals with actions they can take to change an unfavorable classifier outcome. While useful at the instance level, it is ill-suited for global aud…
Semantic Prototypes: Enhancing Transparency Without Black Boxes
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis +2
As machine learning (ML) models and datasets increase in complexity, the demand for methods that enhance explainability and interpretability becomes paramount. Prototypes, by encap…
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives
Orfeas Menis Mastromichalakis, Jason Liartis, Giorgos Stamou
Explainable Artificial Intelligence (XAI) has emerged as a critical area of research aimed at enhancing the transparency and interpretability of AI systems. Counterfactual Explanat…