212 citations · 850 across the 18 of their papers we have counts for
5 papers · 1 filter
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
Thierry Denoeux
We introduce a distance-based neural network model for regression, in which prediction uncertainty is quantified by a belief function on the real line. The model interprets the dis…
A Distributional Approach for Soft Clustering Comparison and Evaluation
Andrea Campagner, Davide Ciucci, Thierry Denœux
The development of external evaluation criteria for soft clustering (SC) has received limited attention: existing methods do not provide a general approach to extend comparison mea…
Evidence fusion with contextual discounting for multi-modality medical image segmentation
Ling Huang, Thierry Denoeux, Pierre Vera +1
As information sources are usually imperfect, it is necessary to take into account their reliability in multi-source information fusion tasks. In this paper, we propose a new deep…
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models
Thierry Denoeux
We introduce a general theory of epistemic random fuzzy sets for reasoning with fuzzy or crisp evidence. This framework generalizes both the Dempster-Shafer theory of belief functi…
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
Ling Huang, Su Ruan, Pierre Decazes +1
An automatic evidential segmentation method based on Dempster-Shafer theory and deep learning is proposed to segment lymphomas from three-dimensional Positron Emission Tomography (…