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Filters: Author is Nadjib Lazaar  [Clear All Filters]
2023
N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker. Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation. Simula, 2023.
G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb. Active Disjunctive Constraint Acquisition In Knowledge Representation (KR), Research Track, Rhodes, Greece, September 2-8., 2023.
M. B. Belaid, N. Belmecheri, N. Lazaar, A. Gotlieb and H. Spieker. Approche générique pour l’acquisition de contraintes qualitatives In JFPC., 2023.PDF icon jfpc_2023_paper_1273.pdf (153.43 KB)
N. Belmecheri, A. Noureddine, N. Lazaar, Y. Lebbah and S. Loudni. "Boosting the Learning for Ranking Patterns." Algorithms 16, no. 5 (2023): 26.PDF icon algorithms-16-00218_1.pdf (1.03 MB)
C. Braye, J. Clech, A. Gotlieb, N. Lazaar and P. Malléa. Towards Trustworthy-AI-by-Design Methodology for Intelligent Radiology Systems In 'Santé et IA séminaire' at PFIA 23, Strasbrourg, France. July 6., 2023.
2022
G. Menguy, S. Bardin, N. Lazaar and A. Gotlieb. Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition In 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 22). IJCAI, 2022.
M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker. GEQCA: Generic Qualitative Constraint Acquisition In Lernen. Wissen. Daten. Analysen. (LWDA) - KDML Track., 2022.
M. B. Belaid, N. Belmecheri, A. Gotlieb, N. Lazaar and H. Spieker. GEQCA: Generic Qualitative Constraint Acquisition In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 36. AAAI, 2022.PDF icon 20282-article_text-24295-1-2-20220628.pdf (241.05 KB)
2021
M. B. Belaid and N. Lazaar. Constraint Programming for Itemset Mining with Multiple Minimum Supports In IEEE International Conference on Tools with Artificial Intelligence (ICTAI)., 2021.
M. B. Belaid and N. Lazaar. Constraint Programming for Itemset Mining with Multiple Minimum Supports In LIRMM, Montpellier, France., 2021.
M. B. Belaid and N. Lazaar. Constraint Programming for Itemset Mining with Multiple Minimum Supports In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021.
M. B. Belaid and N. Lazaar. Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach. arxiv, 2021.
M. B. Belaid, A. Gotlieb and N. Lazaar. Solve Optimization Problems with Unknown Constraint Networks In PTHG workshop in CP (online)., 2021.
M. B. Belaid, A. Gotlieb and N. Lazaar. Solve Optimization Problems with Unknown Constraint Networks In PTHG workshop in CP., 2021.
2020
C. Bessiere, M. B. Belaid and N. Lazaar. Computational Complexity of Three Central Problems in Itemset Mining. arXiv, 2020.
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 In International Conference on Principles and Practice of Constraint Programming, Edited by H. Simonis. LNCS ed. Vol. 12333. Springer, 2020.
2019
C. Ieva, A. Gotlieb, S. Kaci and N. Lazaar. Deploying Smart Program Understanding on a Large Code Base In 2019 IEEE International Conference On Artificial Intelligence Testing (AITest). IEEE, 2019.
M. Collet, A. Gotlieb, N. Lazaar and M. Mossige. Stress Testing of Single-Arm Robots Through Constraint-Based Generation of Continuous Trajectories In 2019 IEEE International Conference On Artificial Intelligence Testing (AITest). San Francisco, CA, USA: IEEE, 2019.
2018
C. Ieva, A. Gotlieb, S. Kaci and N. Lazaar. Discovering Program Topoi Through Clustering In Proceedings of the Thirty-Second IAAI/AAAI Conference on Innovative Applications of Artificial Intelligence. AAAI Press, 2018.
2012
N. Lazaar, A. Gotlieb and Y. Lebbah. "A CP Framework for Testing CP." Constraints 17 (2012): 123-147.