Search Results for author: Nadjib Lazaar

Found 9 papers, 1 papers with code

Towards Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations

no code implementations25 Mar 2024 Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

In this article, we introduce the Qualitative Explainable Graph (QXG), which is a unified symbolic and qualitative representation for scene understanding in urban mobility.

Scene Understanding

Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation

1 code implementation24 Aug 2023 Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

The future of automated driving (AD) is rooted in the development of robust, fair and explainable artificial intelligence methods.

Explainable artificial intelligence

Boosting the Learning for Ranking Patterns

no code implementations5 Mar 2022 Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni

On the other hand, several measures are often used to evaluate the interestingness of patterns, with the hope to reveal a ranking that is as close as possible to the user-specific ranking.

Active Learning Decision Making

Solve Optimization Problems with Unknown Constraint Networks

no code implementations23 Nov 2021 Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar

In this paper, we propose Learn&Optimize, a method to solve optimization problems with known objective function and unknown constraint network.


Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach

no code implementations16 Sep 2021 Mohamed-Bachir Belaid, Nadjib Lazaar

The problem of discovering frequent itemsets including rare ones has received a great deal of attention.

Users Constraints in Itemset Mining

no code implementations31 Dec 2017 Christian Bessiere, Nadjib Lazaar, Yahia Lebbah, Mehdi Maamar

Discovering significant itemsets is one of the fundamental problems in data mining.

A global constraint for closed itemset mining

no code implementations17 Apr 2016 Mehdi Maamar, Nadjib Lazaar, Samir Loudni, Yahia Lebbah

Discovering the set of closed frequent patterns is one of the fundamental problems in Data Mining.

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