With the recent successes of black-box models in Artificial Intelligence (AI) and the growing
interactions between humans and AIs, explainability issues have risen. In this article, in the …

The goal of explainable artificial intelligence is to solve problems in a way that humans can
understand how it does it. However, few approaches have been proposed so far and some …

With the development of automobile insurance industry, how to identify automobile
insurance fraud from massive data becomes particularly important. The purpose of this …

It is crystal clear that discovering the rules for finding a specific pattern among given data for
extraction of association rules in rule-based learning systems has been defined in previous …

Artificial intelligence is used massively in numerous applications, especially since the rise of
deep learning techniques. However, some of these applications require a careful study and …

Malgré son récent succès, l'apprentissage profond semble loin d'égaler certaines capacités
humaines comme l'apprentissage à partir de peu d'exemples, le raisonnement ou encore …

This document aims at presenting a summary of my research and the main results I obtained
since my doctorate in computer science, defended at Université Paul Cézanne in 2007. This …

Today, enterprises use a variety of applications to manage day-by-day business activities
using a large centralized database. Since a huge amount of data stored in this centralized …

In this chapter, some formal models for knowledge and information representation are
presented, focusing on their extensions to fuzzy sets. They will be used for image …

The scientific and feasible method is extremely important for the evaluation of whether the
support of coal mines needs to be scrapped, but it has not been formed. If the support cannot …