14 citations · 17 across the 7 of their papers we have counts for
3 papers · 1 filter
Fixing confirmation bias in feature attribution methods via semantic match
Giovanni Cinà, Daniel Fernandez-Llaneza, Ludovico Deponte +6
Feature attribution methods have become a staple method to disentangle the complex behavior of black box models. Despite their success, some scholars have argued that such methods…
Semantic match: Debugging feature attribution methods in XAI for healthcare
Giovanni Cinà, Tabea E. Röber, Rob Goedhart +1
The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explai…
Finding Regions of Counterfactual Explanations via Robust Optimization
Donato Maragno, Jannis Kurtz, Tabea E. Röber +3
Counterfactual explanations play an important role in detecting bias and improving the explainability of data-driven classification models. A counterfactual explanation (CE) is a m…