219 citations · 1.3k across the 47 of their papers we have counts for
8 papers · 1 filter
Dissemination of Health Information within Social Networks
Charanpal Dhanjal, Sandrine Blanchemanche, Stéphan Clémençon +2
In this paper, we investigate, how information about a common food born health hazard, known as Campylobacter, spreads once it was delivered to a random sample of individuals in Fr…
Neural Networks for Complex Data
Marie Cottrell, Madalina Olteanu, Fabrice Rossi +2
Artificial neural networks are simple and efficient machine learning tools. Defined originally in the traditional setting of simple vector data, neural network models have evolved…
Visual Mining of Epidemic Networks
Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi +1
We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to d…
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
Mohamed Khalil El Mahrsi, Fabrice Rossi
Even though clustering trajectory data attracted considerable attention in the last few years, most of prior work assumed that moving objects can move freely in an euclidean space…
Modularity-Based Clustering for Network-Constrained Trajectories
Mohamed Khalil El Mahrsi, Fabrice Rossi
We present a novel clustering approach for moving object trajectories that are constrained by an underlying road network. The approach builds a similarity graph based on these traj…
Dissimilarity Clustering by Hierarchical Multi-Level Refinement
Brieuc Conan-Guez, Fabrice Rossi
We introduce in this paper a new way of optimizing the natural extension of the quantization error using in k-means clustering to dissimilarity data. The proposed method is based o…