34 citations · 34 across the 3 of their papers we have counts for
4 papers
Mixture of multilayer stochastic block models for multiview clustering
Kylliann De Santiago, Marie Szafranski, Christophe Ambroise
In this work, we propose an original method for aggregating multiple clustering coming from different sources of information. Each partition is encoded by a co-membership matrix be…
Fast Computation of Genome-Metagenome Interaction Effects
Florent Guinot, Marie Szafranski, Julien Chiquet +4
Motivation. Association studies have been widely used to search for associations between common genetic variants observations and a given phenotype. However, it is now generally ac…
Learning the optimal scale for GWAS through hierarchical SNP aggregation
Florent Guinot, Marie Szafranski, Christophe Ambroise +1
Motivation: Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting th…
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary -Mixing Processes
Liva Ralaivola, Marie Szafranski, Guillaume Stempfel
Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned from independently and identically distributed (IID) data, and it is particularly so for…