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03/08/2023
Estimation of the qualification and behavior of a contributor and aggregation of his answers in a crowdsourcing context
Crowdsourcing is the outsourcing of tasks to a crowd of contributors on ...
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11/21/2022
Real bird dataset with imprecise and uncertain values
The theory of belief functions allows the fusion of imperfect data from ...
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10/10/2022
Belief functions on ordered frames of discernment
Most questionnaires offer ordered responses whose order is poorly studie...
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02/26/2020
Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR
Crowdsourcing is defined as the outsourcing of tasks to a crowd of contr...
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07/11/2019
Evidential positive opinion influence measures for viral marketing
The Viral Marketing is a relatively new form of marketing that exploits ...
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06/24/2019
Measuring the Expertise of Workers for Crowdsourcing Applications
Crowdsourcing platforms enable companies to propose tasks to a large cro...
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11/19/2018
Contributors profile modelization in crowdsourcing platforms
The crowdsourcing consists in the externalisation of tasks to a crowd of...
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09/28/2018
A belief combination rule for a large number of sources
The theory of belief functions is widely used for data from multiple sou...
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09/28/2018
Evidential community detection based on density peaks
Credal partitions in the framework of belief functions can give us a bet...
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06/26/2018
Independence of Sources in Social Networks
Online social networks are more and more studied. The links between user...
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09/13/2017
Conflict management in information fusion with belief functions
In Information fusion, the conflict is an important concept. Indeed, com...
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08/09/2017
Preference fusion and Condorcet's Paradox under uncertainty
Facing an unknown situation, a person may not be able to firmly elicit h...
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08/09/2017
An automatic water detection approach based on Dempster-Shafer theory for multi spectral images
Detection of surface water in natural environment via multi-spectral ima...
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07/26/2017
The Advantage of Evidential Attributes in Social Networks
Nowadays, there are many approaches designed for the task of detecting c...
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07/25/2017
Evidence combination for a large number of sources
The theory of belief functions is an effective tool to deal with the mul...
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06/30/2017
A reliability-based approach for influence maximization using the evidence theory
The influence maximization is the problem of finding a set of social net...
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01/26/2017
Dynamic time warping distance for message propagation classification in Twitter
Social messages classification is a research domain that has attracted t...
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01/17/2017
Une mesure d'expertise pour le crowdsourcing
Crowdsourcing, a major economic issue, is the fact that the firm outsour...
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10/20/2016
Maximizing positive opinion influence using an evidential approach
In this paper, we propose a new data based model for influence maximizat...
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09/30/2016
Characterization of experts in crowdsourcing platforms
Crowdsourcing platforms enable to propose simple human intelligence task...
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07/29/2016
Semi-supervised evidential label propagation algorithm for graph data
In the task of community detection, there often exists some useful prior...
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06/13/2016
Evidential Label Propagation Algorithm for Graphs
Community detection has attracted considerable attention crossing many a...
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02/08/2016
Adaptive imputation of missing values for incomplete pattern classification
In classification of incomplete pattern, the missing values can either p...
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03/17/2015
Combining partially independent belief functions
The theory of belief functions manages uncertainty and also proposes a s...
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09/16/2011
Contradiction measures and specificity degrees of basic belief assignments
In the theory of belief functions, many measures of uncertainty have bee...
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06/28/2009
Comments on "A new combination of evidence based on compromise" by K. Yamada
Comments on "A new combination of evidence based on compromise" by K. Ya...
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06/28/2009
General combination rules for qualitative and quantitative beliefs
Martin and Osswald Martin07 have recently proposed many generalizations ...
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06/12/2008
Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification
In this chapter, we present two applications in information fusion in or...
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06/12/2008
Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
The sonar images provide a rapid view of the seabed in order to characte...
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06/12/2008
Fusion de classifieurs pour la classification d'images sonar
In this paper, we present some high level information fusion approaches ...
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06/11/2008
Human expert fusion for image classification
In image classification, merging the opinion of several human experts is...
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06/11/2008
