3 citations · 7 across the 12 of their papers we have counts for
7 papers · 1 filter
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…
Optimizing Ethical Risk Reduction for Medical Intelligent Systems with Constraint Programming
Clotilde Brayé, Aurélien Bricout, Arnaud Gotlieb +2
Medical Intelligent Systems (MIS) are increasingly integrated into healthcare workflows, offering significant benefits but also raising critical safety and ethical concerns. Accord…
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…
Solve Optimization Problems with Unknown Constraint Networks
Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar
In most optimization problems, users have a clear understanding of the function to optimize (e.g., minimize the makespan for scheduling problems). However, the constraints may be d…
Users Constraints in Itemset Mining
Christian Bessiere, Nadjib Lazaar, Yahia Lebbah +1
Discovering significant itemsets is one of the fundamental problems in data mining. It has recently been shown that constraint programming is a flexible way to tackle data mining t…
A global constraint for closed itemset mining
Mehdi Maamar, Nadjib Lazaar, Samir Loudni +1
Discovering the set of closed frequent patterns is one of the fundamental problems in Data Mining. Recent Constraint Programming (CP) approaches for declarative itemset mining have…