3 citations · 4 across the 3 of their papers we have counts for
3 papers
An Experimental Investigation into the Evaluation of Explainability Methods
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack +7
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerg…
SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks
Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal +1
For many years, it has been shown how much exploiting equivariances can be beneficial when solving image analysis tasks. For example, the superiority of convolutional neural networ…
Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment
Adrien Bibal, Benoit Frénay
In order to be useful, visualizations need to be interpretable. This paper uses a user-based approach to combine and assess quality measures in order to better model user preferenc…