Search Results for author: Jérôme Darmont

Found 5 papers, 0 papers with code

MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks

no code implementations6 Sep 2021 Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs

Then, we introduce the Multimodal fusiON framework to assess message veracIty in social neTwORks (MONITOR), which exploits all message features (i. e., text, social context, and image features) by supervised machine learning.

Image Quality Assessment

Feedback from the participants of the ADBIS, TPDL and EDA 2020 joint conferences

no code implementations27 Nov 2020 Pegdwendé Sawadogo, Jérôme Darmont, Fabien Duchateau

This paper presents the way the joint ADBIS, TPDL and EDA 2020 conferences were organized online and the results of the participant survey conducted thereafter.

Including Images into Message Veracity Assessment in Social Media

no code implementations20 Jul 2020 Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont

The extensive use of social media in the diffusion of information has also laid a fertile ground for the spread of rumors, which could significantly affect the credibility of social media.

MaxMin Linear Initialization for Fuzzy C-Means

no code implementations1 Aug 2018 Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman

The aim of clustering is to discover groups and to identify interesting patterns in datasets.

Text Categorization

A Visual Quality Index for Fuzzy C-Means

no code implementations5 Jun 2018 Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont

Fuzzy clustering is a particular method that considers that a data point can belong to more than one cluster.

Text Categorization

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