1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Ranking Counterfactual Explanations
Suryani Lim, Henri Prade, Gilles Richard
AI-driven outcomes can be challenging for end-users to understand. Explanations can address two key questions: "Why this outcome?" (factual) and "Why not another?" (counterfactual)…
cs.LG2023
Analogical Relevance Index
Suryani Lim, Henri Prade, Gilles Richard
Focusing on the most significant features of a dataset is useful both in machine learning (ML) and data mining. In ML, it can lead to a higher accuracy, a faster learning process,…