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M. Belaid

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.DB1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

most citedOpening the Software Engineering Toolbox for the Assessment of Trustworthy AI

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AI2021

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…

cs.DB2020

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…

cs.SE2020★ 6 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.