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 • 17 Jan 2017 • Hosna Ouni, Arnaud Martin, Laetitia Gros, Mouloud Kharoune, Zoltan Miklos
The evaluation of the participants work quality is a major issue in crowdsourcing.
no code implementations • 30 Sep 2016 • Amal Ben Rjab, Mouloud Kharoune, Zoltan Miklos, Arnaud Martin
We model such partial or incomplete responses with the help of belief functions, and we derive a measure that characterizes the expertise level of each participant.
no code implementations • 22 Jan 2015 • Mouloud Kharoune, Arnaud Martin
Many information sources are considered into data fusion in order to improve the decision in terms of uncertainty and imprecision.
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.
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.