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An evidential classifier based on Dempster-Shafer theory and deep
  learning

An evidential classifier based on Dempster-Shafer theory and deep learning

25 March 2021
Zheng Tong
Philippe Xu
Thierry Denoeux
    EDL
ArXivPDFHTML

Papers citing "An evidential classifier based on Dempster-Shafer theory and deep learning"

9 / 9 papers shown
Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
79
0
0
30 Jan 2025
A Unified Evaluation Framework for Epistemic Predictions
A Unified Evaluation Framework for Epistemic Predictions
Shireen Kudukkil Manchingal
Muhammad Mubashar
Kaizheng Wang
Fabio Cuzzolin
UQCV
70
2
0
28 Jan 2025
Feature Fusion for Improved Classification: Combining Dempster-Shafer
  Theory and Multiple CNN Architectures
Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures
Ayyub Alzahem
W. Boulila
Maha Driss
Anis Koubaa
25
2
0
23 May 2024
Pavementscapes: a large-scale hierarchical image dataset for asphalt
  pavement damage segmentation
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
Zheng Tong
Tengyu Ma
J. Huyan
Wei-guang Zhang
SSeg
38
2
0
24 Jul 2022
Epistemic Deep Learning
Epistemic Deep Learning
Shireen Kudukkil Manchingal
Fabio Cuzzolin
UQCV
BDL
EDL
FedML
UD
25
6
0
15 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision
  Making: Belief Theory Meets Deep Learning
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo
Zelin Wan
Qisheng Zhang
Xujiang Zhao
F. Chen
Jin-Hee Cho
Qi Zhang
Lance M. Kaplan
Dong-Ho Jeong
A. Jøsang
UQCV
EDL
25
10
0
12 Jun 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDL
MedIm
29
30
0
03 May 2022
Lymphoma segmentation from 3D PET-CT images using a deep evidential
  network
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
3DPC
MedIm
41
37
0
31 Jan 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
1