127 citations · 366 across the 27 of their papers we have counts for
5 papers · 1 filter
Reproducible AI Requires Reproducible Randomness
Anthony Bertrand, Tom Schmitt, Engelbert Mephu Nguifo +1
Pseudorandom number generators (PRNGs) constitute indispensable computational tools across multiple scientific domains, including Monte Carlo simulations, stochastic computing, and…
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data
Sk Imran Hossain, Jocelyn de Goër de Herve, David Abrial +6
Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease using deep learning techniques can be effective to prevent long-term complications. Exis…
Extracting Frequent Gradual Patterns Using Constraints Modeling
Jerry Lonlac, Saïdd Jabbour, Engelbert Mephu Nguifo +2
In this paper, we propose a constraint-based modeling approach for the problem of discovering frequent gradual patterns in a numerical dataset. This SAT-based declarative approach…
Towards Learned Clauses Database Reduction Strategies Based on Dominance Relationship
Jerry Lonlac, Engelbert Mephu Nguifo
Clause Learning is one of the most important components of a conflict driven clause learning (CDCL) SAT solver that is effective on industrial instances. Since the number of learne…
A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems
P. Fournier-Viger, R. Nkambou, E. Mephu Nguifo
Domain experts should provide relevant domain knowledge to an Intelligent Tutoring System (ITS) so that it can guide a learner during problemsolving learning activities. However, f…