Mohamed-Bachir Belaid

According to our database, Mohamed-Bachir Belaid authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Stochastic and deterministic processes in Asymmetric Tsetlin Machine.

Negar Elmisadr, Mohamed-Bachir Belaid, Anis Yazidi

Frontiers Artif. Intell., 2025

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning.

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Query-driven Qualitative Constraint Acquisition.

Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

J. Artif. Intell. Res., 2024

Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data.

Jivitesh Sharma, Stefan Jetschny, Martin Kapun, Mohamed-Bachir Belaid

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

CoRR, 2023

2022

GEQCA: Generic Qualitative Constraint Acquisition.

Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Solve Optimization Problems with Unknown Constraint Networks.

Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar

CoRR, 2021

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

Mohamed-Bachir Belaid, Nadjib Lazaar

CoRR, 2021

Constraint Programming for Itemset Mining with Multiple Minimum Supports.

Mohamed-Bachir Belaid, Nadjib Lazaar

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Fouille de données déclarative basée sur la programmation par contraintes. (Declarative Itemset Mining Based on Constraint Programming).

Mohamed-Bachir Belaid

PhD thesis, 2020

Computational Complexity of Three Central Problems in Itemset Mining.

Christian Bessiere, Mohamed-Bachir Belaid, Nadjib Lazaar

CoRR, 2020

Opening the software engineering toolbox for the assessment of trustworthy AI.

Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker

Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Constraint Programming for Association Rules.

Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Constraint Programming for Mining Borders of Frequent Itemsets.

Mohamed-Bachir Belaid, Christian Bessiere, Nadjib Lazaar

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019