7 citations · 8 across the 3 of their papers we have counts for
3 papers
Unveiling the Potential of Counterfactuals Explanations in Employability
Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans +1
In eXplainable Artificial Intelligence (XAI), counterfactual explanations are known to give simple, short, and comprehensible justifications for complex model decisions. However, w…
Disagreement amongst counterfactual explanations: How transparency can be deceptive
Dieter Brughmans, Lissa Melis, David Martens
Counterfactual explanations are increasingly used as an Explainable Artificial Intelligence (XAI) technique to provide stakeholders of complex machine learning algorithms with expl…
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Dieter Brughmans, Pieter Leyman, David Martens
In this paper we suggest NICE: a new algorithm to generate counterfactual explanations for heterogeneous tabular data. The design of our algorithm specifically takes into account a…