Conversation-based multimodal abuse detection through text and graph embeddings - Computing Abusive behavior is common on online social networks, and forces the hosts of such platforms to find new solutions to address this problem. Various methods have been proposed to automate this task in ...

New paper: Conversation-based multimodal abuse detection through text and graph embeddings
With Noé Cécillon & Richard Dufour
Journal: link.springer.com/article/10.1...
Preprint: hal.science/hal-04993092/

New paper: A dataset of the representatives elected in France during the fifth republic
Interdisciplinary work involving political science and computer science.
Preprint: hal.science/hal-05012514
Journal: doi.org/10.1016/j.di...

Approximating spatial distance through Confront networks: application to the segmentation of medieval Avignon Abstract. In historical studies, the older the sources, the more common it is to have access to data that are only partial, and/or unreliable or imprecise.

New paper: Approximating Spatial Distance Through Confront Networks: Application to the Segmentation of Medieval Avignon
with Margot Ferrand
Preprint: hal.science/hal-04786705
Journal: doi.org/10.1093/comn...

Interconnected Kingdoms: comparing ‘A Song of Ice and Fire’ adaptations across media using complex networks - Social Network Analysis and Mining In this article, we propose and apply a method to compare adaptations of the same story across different media. We tackle this task by modelling such adaptations through character networks. We compare...

New paper: Interconnected Kingdoms: comparing ‘A Song of Ice and Fire’ adaptations across media using complex networks
with A. Amalvy, M. Janickyj, S. Mannion and P. MacCarron
Journal: link.springer.com/article/10.1...
Preprint: hal.science/hal-04722579

Whole-Graph Representation Learning For the Classification of Signed Networks Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional represent...

New paper: Whole-Graph Representation Learning For the Classification of Signed Networks
with Noé Cécillon, Richard Dufour, and Nejat Arınık
Journal: ieeexplore.ieee.org/document/107...
Preprint: hal.science/hal-04712854

@matiassuescun.bsky.social , tu connais ce concept de negative harmony ? (plus negative melody, si je comprends bien comment ça marche) : www.youtube.com/watch?v=G2r7...

Allocation de thèse en section 27 au LIA (Avignon), équipe Cornet : cf. le lien ci-dessous.
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Open position for a PhD in Computer Science at LIA, Avignon (France) : see detail below.
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lia.univ-avignon.fr/2024/02/27/a...

Poste de MCF en section 27 ouvert à Avignon Université, détails au lien ci-dessous.
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Assistant prof position now available at Avignon University, France. Details below (in French)
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univ-avignon.fr/wp-content/u...