6 citations · 7 across the 5 of their papers we have counts for
6 papers
Optimizing Earth Observation Satellite Schedules under Unknown Operational Constraints: An Active Constraint Acquisition Approach
Mohamed-Bachir Belaid
Earth Observation (EO) satellite scheduling (deciding which imaging tasks to perform and when) is a well-studied combinatorial optimization problem. Existing methods typically assu…
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao +3
Tsetlin Machines (TMs) have garnered increasing interest for their ability to learn concepts via propositional formulas and their proven efficiency across various application domai…
Solve Optimization Problems with Unknown Constraint Networks
Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar
In most optimization problems, users have a clear understanding of the function to optimize (e.g., minimize the makespan for scheduling problems). However, the constraints may be d…
Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach
Mohamed-Bachir Belaid, Nadjib Lazaar
The problem of discovering frequent itemsets including rare ones has received a great deal of attention. The mining process needs to be flexible enough to extract frequent and rare…
Computational Complexity of Three Central Problems in Itemset Mining
Christian Bessiere, Mohamed-Bachir Belaid, Nadjib Lazaar
Itemset mining is one of the most studied tasks in knowledge discovery. In this paper we analyze the computational complexity of three central itemset mining problems. We prove tha…
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé +7
Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess…