41 citations · 85 across the 4 of their papers we have counts for
3 papers · 1 filter
Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods
Hyeon Yu, Jenny Benois-Pineau, Romain Bourqui +2
This paper investigates the use of Mean Opinion Score (MOS), a common image quality metric, as a user-centric evaluation metric for XAI post-hoc explainers. To measure the MOS, a u…
On the stability, correctness and plausibility of visual explanation methods based on feature importance
Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot +4
In the field of Explainable AI, multiples evaluation metrics have been proposed in order to assess the quality of explanation methods w.r.t. a set of desired properties. In this wo…
Evaluation of Explanation Methods of AI -- CNNs in Image Classification Tasks with Reference-based and No-reference Metrics
A. Zhukov, J. Benois-Pineau, R. Giot
The most popular methods in AI-machine learning paradigm are mainly black boxes. This is why explanation of AI decisions is of emergency. Although dedicated explanation tools have…