Nadjib Lazaar

N. Belmecheri, A. Noureddine, N. Lazaar, Y. Lebbah and S. Loudni

Boosting the Learning for Ranking Patterns

Algorithms

G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb

Active Disjunctive Constraint Acquisition

Knowledge Representation (KR), Research Track, Rhodes, Greece, September 2-8

M. B. Belaid, N. Belmecheri, N. Lazaar, A. Gotlieb and H. Spieker

Approche générique pour l’acquisition de contraintes qualitatives

JFPC

G. Menguy, S. Bardin, A. Gotlieb and N. Lazaar

Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition

Knowledge Representation (KR), Research Track, Rhodes, Greece, September 2-8

C. Braye, J. Clech, A. Gotlieb, N. Lazaar and P. Malléa

Towards Trustworthy-AI-by-Design Methodology for Intelligent Radiology Systems

'Santé et IA séminaire' at PFIA 23, Strasbrourg, France. July 6

N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker

Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation

G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb

Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition

31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 22)

M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker

GEQCA: Generic Qualitative Constraint Acquisition

Proceedings of the AAAI Conference on Artificial Intelligence

M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker

GEQCA: Generic Qualitative Constraint Acquisition

Lernen. Wissen. Daten. Analysen. (LWDA) - KDML Track

M. B. Belaid and N. Lazaar

Constraint Programming for Itemset Mining with Multiple Minimum Supports

2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)

M. B. Belaid, A. Gotlieb and N. Lazaar

Solve Optimization Problems with Unknown Constraint Networks

PTHG workshop in CP

M. B. Belaid and N. Lazaar

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

M. B. Belaid and N. Lazaar

Constraint Programming for Itemset Mining with Multiple Minimum Supports

LIRMM, Montpellier, France

M. B. Belaid and N. Lazaar

Constraint Programming for Itemset Mining with Multiple Minimum Supports

IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

M. B. Belaid, A. Gotlieb and N. Lazaar

Solve Optimization Problems with Unknown Constraint Networks

PTHG workshop in CP (online)

M. Collet, A. Gotlieb, N. Lazaar, M. Carlsson, D. Marijan and M. Mossige

RobTest: A CP Approach to Generate Maximal Test Trajectories for Industrial Robots

International Conference on Principles and Practice of Constraint Programming

C. Bessiere, M. B. Belaid and N. Lazaar

Computational Complexity of Three Central Problems in Itemset Mining

C. Ieva, A. Gotlieb, S. Kaci and N. Lazaar

Deploying Smart Program Understanding on a Large Code Base

2019 IEEE International Conference On Artificial Intelligence Testing (AITest)

M. Collet, A. Gotlieb, N. Lazaar and M. Mossige

Stress Testing of Single-Arm Robots Through Constraint-Based Generation of Continuous Trajectories

2019 IEEE International Conference On Artificial Intelligence Testing (AITest)

C. Ieva, A. Gotlieb, S. Kaci and N. Lazaar

Discovering Program Topoi Through Clustering

Proceedings of the Thirty-Second IAAI/AAAI Conference on Innovative Applications of Artificial Intelligence

N. Lazaar, A. Gotlieb and Y. Lebbah

A CP Framework for Testing CP

Constraints