5 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
Boosting the Learning for Ranking Patterns
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar +2
Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness mea- sures have been…
Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach
Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar +1
Learning user-defined concepts as constraint networks has been extensively studied in the constraint acquisition (CA) literature. However, existing approaches typically rely on int…
Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations
Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar +1
Understanding driving scenes and communicating automated vehicle decisions are key requirements for trustworthy automated driving. In this article, we introduce the Qualitative Exp…
Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation
Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar +1
The future of automated driving (AD) is rooted in the development of robust, fair and explainable artificial intelligence methods. Upon request, automated vehicles must be able to…
Boosting the Learning for Ranking Patterns
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar +2
Discovering relevant patterns for a particular user remains a challenging tasks in data mining. Several approaches have been proposed to learn user-specific pattern ranking functio…