1 citations · 2 across the 3 of their papers we have counts for
4 papers
Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-being
Esperança Amengual-Alcover, Antoni Jaume-i-Capó, Miquel Miró-Nicolau +2
The integration of Artificial Intelligence in the development of computer systems presents a new challenge: make intelligent systems explainable to humans. This is especially vital…
Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover
The use of eXplainable Artificial Intelligence (XAI) systems has introduced a set of challenges that need resolution. The XAI robustness, or stability, has been one of the goals of…
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets
M. Miró-Nicolau, A. Jaume-i-Capó, G. Moyà-Alcover
The evaluation of the fidelity of eXplainable Artificial Intelligence (XAI) methods to their underlying models is a challenging task, primarily due to the absence of a ground truth…
Improving concave point detection to better segment overlapped objects in images
Miquel Miró-Nicolau, Biel Moyà-Alcover, Manuel Gonzàlez-Hidalgo +1
This paper presents a method that improve state-of-the-art of the concave point detection methods as a first step to segment overlapping objects on images. It is based on the analy…