| Constraint programming for association rules MB Belaid, C Bessiere, N Lazaar Proceedings of the 2019 SIAM International Conference on Data Mining, 127-135, 2019 | 31 | 2019 |
| Constraint Programming for Mining Borders of Frequent Itemsets. MB Belaid, C Bessiere, N Lazaar IJCAI, 1064-1070, 2019 | 18 | 2019 |
| Geqca: Generic qualitative constraint acquisition MB Belaid, N Belmecheri, A Gotlieb, N Lazaar, H Spieker Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3690-3697, 2022 | 16 | 2022 |
| Opening the software engineering toolbox for the assessment of trustworthy AI MK Ahuja, MB Belaid, P Bernabé, M Collet, A Gotlieb, C Lal, D Marijan, ... arXiv preprint arXiv:2007.07768, 2020 | 9 | 2020 |
| Query-driven Qualitative Constraint Acquisition MB Belaid, N Belmecheri, A Gotlieb, N Lazaar, H Spieker Journal of Artificial Intelligence Research 79, 241-271, 2024 | 2 | 2024 |
| Solve optimization problems with unknown constraint networks MB Belaid, A Gotlieb, N Lazaar arXiv preprint arXiv:2111.11871, 2021 | 2 | 2021 |
| A global constraint for mining generator itemsets MB Belaid, C Bessiere, N Lazaar Doctoral Program Proceedings, 11, 2018 | 2 | 2018 |
| Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning MB Belaid, J Sharma, L Jiao, OC Granmo, PA Andersen, A Yazidi arXiv preprint arXiv:2310.02005, 2023 | 1 | 2023 |
| Constraint Programming for Itemset Mining with Multiple Minimum Supports MB Belaid, N Lazaar 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 1 | 2021 |
| Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach MB Belaid, N Lazaar arXiv preprint arXiv:2109.07844, 2021 | 1 | 2021 |
| Computational Complexity of Three Central Problems in Itemset Mining C Bessiere, MB Belaid, N Lazaar arXiv preprint arXiv:2012.02619, 2020 | 1 | 2020 |
| A ‘Reduce and Solve’Algorithm for the Multidimensional Knapsack Problem MB Belaid, A Lazeb, M Zennaki, K Sadouni Colloque sur l'Optimisation et les Systèmes d'Information (COSI'2016), 242, 2016 | 1 | 2016 |
| Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities J Sharma, S Jetschny, MS Maza, NB Guardia, E Peris, JF Esteve, ... 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data J Sharma, S Jetschny, M Kapun, MB Belaid 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Approche générique pour l’acquisition de contraintes qualitatives MB Belaid, N Belmecheri, A Gotlieb, N Lazaar, H Spieker JFPC, 46, 2023 | | 2023 |
| Asymmetric Probabilistic Tsetlin Machine for Pattern Recognition N Elmisadr, MB Belaid, A Yazidi | | 2023 |
| Declarative Itemset Mining Based on Constraint Programming MB Belaid Montpellier, 2020 | | 2020 |
| Fouille de données déclarative basée sur la programmation par contraintes. MB Belaid Université Montpellier, 2020 | | 2020 |
| Fouille de données déclarative basée sur la programmation par contraintes.(Declarative Itemset Mining Based on Constraint Programming). MB Belaid University of Montpellier, France, 2020 | | 2020 |
| A ‘Reduce and Solve’ Algorithm for the Multidimensional Knapsack Problem Mohamed Bachir Belaid, Abdennour Lazeb, Mahmoud Zennaki, Kaddour Sadouni Colloque sur l'Optimisation et les Systèmes d'Information (COSI'2016), 242, 2016 | | 2016 |
