5 citations · 10 across the 6 of their papers we have counts for
6 papers
Multi-agent model for risk prediction in surgery
Bruno Perez, Julien Henriet, Christophe Lang +1
Risk management resulting from the actions and states of the different elements making up a operating room is a major concern during a surgical procedure. Agent-based simulation sh…
Safe Disassociation of Set-Valued Datasets
Nancy Awad, Bechara Al Bouna, Jean-Francois Couchot +1
Disassociation introduced by Terrovitis et al. is a bucketization based anonimyzation technique that divides a set-valued dataset into several clusters to hide the link between ind…
Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization
Reem Alsrraj, Bassam AlKindy, Christophe Guyeux +2
The number of complete chloroplastic genomes increases day after day, making it possible to rethink plants phylogeny at the biomolecular era. Given a set of close plants sharing in…
Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees
Bassam AlKindy, Bashar Al-Nuaimi, Christophe Guyeux +4
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large-scale phylogenetic trees of plant species. Considering…
Computational investigations of folded self-avoiding walks related to protein folding
Jacques M. Bahi, Christophe Guyeux, Kamel Mazouzi +1
Various subsets of self-avoiding walks naturally appear when investigating existing methods designed to predict the 3D conformation of a protein of interest. Two such subsets, name…
Protein structure prediction software generate two different sets of conformations. Or the study of unfolded self-avoiding walks
Jacques M. Bahi, Christophe Guyeux, Jean-Marc Nicod +1
Self-avoiding walks (SAW) are the source of very difficult problems in probabilities and enumerative combinatorics. They are also of great interest as they are, for instance, the b…