no code implementations • 26 Jul 2017 • Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
In this paper, we will present how we detect communities in graphs with uncertain attributes in the first step.
no code implementations • 26 Jan 2017 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane, Hend Ben Hadji
In this paper, we are mainly interested in the classification of social messages based on their spreading on online social networks (OSN).
no code implementations • 17 Mar 2015 • Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane
The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources.
no code implementations • 28 Jan 2015 • Amira Essaid, Arnaud Martin, Grégory Smits, Boutheina Ben Yaghlane
Second, we give experiments showing that our rule is able to decide on a set of hypotheses.
no code implementations • 27 Jan 2015 • Dorra Attiaoui, Pierre-Emmanuel Doré, Arnaud Martin, Boutheina Ben Yaghlane
Defining and modeling the relation of inclusion between continuous belief function may be considered as an important operation in order to study their behaviors.
no code implementations • 23 Jan 2015 • Amira Essaid, Arnaud Martin, Grégory Smits, Boutheina Ben Yaghlane
Considering the high heterogeneity of the ontologies pub-lished on the web, ontology matching is a crucial issue whose aim is to establish links between an entity of a source ontology and one or several entities from a target ontology.
no code implementations • 22 Jan 2015 • Siwar Jendoubi, Boutheina Ben Yaghlane, Arnaud Martin
Speech Recognition searches to predict the spoken words automatically.
no code implementations • 22 Jan 2015 • Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Boutheina Ben Yaghlane
We tested our classifier on a real word network that we collected from Twitter, and our experiments show the performance of our belief classifier.
no code implementations • 21 Jan 2015 • Imen Ouled Dlala, Dorra Attiaoui, Arnaud Martin, Boutheina Ben Yaghlane
Based on the assumption consisting on the trolls' integration in the successful discussion threads, we try to detect the presence of such malicious users.
no code implementations • 20 Jan 2015 • Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
In this paper, we tried to model a social network as being a network of fusion of information and determine the true nature of the received message in a well-defined node by proposing a new model: the belief social network.
no code implementations • 20 Jan 2015 • Mouna Chebbah, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane
In this paper, we propose to learn sources independence in order to choose the appropriate type of combination rules when aggregating their beliefs.