219 citations · 1.3k across the 47 of their papers we have counts for
5 papers · 2 filters
Co-Clustering Network-Constrained Trajectory Data
Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi +1
Recently, clustering moving object trajectories kept gaining interest from both the data mining and machine learning communities. This problem, however, was studied mainly and exte…
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks
Romain Guigourès, Marc Boullé, Fabrice Rossi
For the last few years, the amount of data has significantly increased in the companies. It is the reason why data analysis methods have to evolve to meet new demands. In this arti…
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models
Marco Corneli, Pierre Latouche, Fabrice Rossi
In this paper, we focus on the stochastic block model (SBM),a probabilistic tool describing interactions between nodes of a network using latent clusters. The SBM assumes that the…
Graphs in machine learning: an introduction
Pierre Latouche, Fabrice Rossi
Graphs are commonly used to characterise interactions between objects of interest. Because they are based on a straightforward formalism, they are used in many scientific fields fr…
Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks
Marco Corneli, Pierre Latouche, Fabrice Rossi
The latent block model (LBM) is a flexible probabilistic tool to describe interactions between node sets in bipartite networks, but it does not account for interactions of time var…