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M. Boullé

12 papers hereh-index 201.8k citations93 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author8

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • stat.ML4
  • cs.DB2
  • cs.IT1
  • cs.SI1
same name
  • M. Boullé — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132022
most citedA Triclustering Approach for Time Evolving Graphs

20 citations · 52 across the 12 of their papers we have counts for

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2016★ 14 cited

Discovering Patterns in Time-Varying Graphs: A Triclustering Approach

Romain Guigourès, Marc Boullé, Fabrice Rossi

This paper introduces a novel technique to track structures in time varying graphs. The method uses a maximum a posteriori approach for adjusting a three-dimensional co-clustering…

stat.ML2015★ 3 cited

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…

stat.ML2015

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…

stat.ML2014★ 8 cited

Nonparametric Hierarchical Clustering of Functional Data

Marc Boullé, Romain Guigourès, Fabrice Rossi

In this paper, we deal with the problem of curves clustering. We propose a nonparametric method which partitions the curves into clusters and discretizes the dimensions of the curv…

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