activity
20122021
most citedQualitative Comparison of Community Detection Algorithms

65 citations · 239 across the 12 of their papers we have counts for

collaborators

18 papers

cs.LG202129 cited

Characterizing and comparing external measures for the assessment of cluster analysis and community detection

Nejat Arinik, Vincent Labatut, Rosa Figueiredo

In the context of cluster analysis and graph partitioning, many external evaluation measures have been proposed in the literature to compare two partitions of the same set. This ma…

cs.SI202118 cited

Graph embeddings for Abusive Language Detection

Noé Cecillon, Vincent Labatut, Richard Dufour +1

Abusive behaviors are common on online social networks. The increasing frequency of antisocial behaviors forces the hosts of online platforms to find new solutions to address this…

cs.CL2020

WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection

Noé Cecillon, Vincent Labatut, Richard Dufour +1

With the spread of online social networks, it is more and more difficult to monitor all the user-generated content. Automating the moderation process of the inappropriate exchange…

cs.IR2020

Serial Speakers: a Dataset of TV Series

Xavier Bost, Vincent Labatut, Georges Linares

For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plo…

cs.MM2019

Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series

Xavier Bost, Serigne Gueye, Vincent Labatut +4

Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most vi…

cs.IR201918 cited

Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features

Noé Cecillon, Vincent Labatut, Richard Dufour +1

In recent years, online social networks have allowed worldwide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent use…