Dual-level Deep Evidential Fusion: Integrating multimodal information for enhanced reliable decision-making in deep learning-Reference-Cited by-同舟云学术

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Dual-level Deep Evidential Fusion: Integrating multimodal information for enhanced reliable decision-making in deep learning

Published:2024-03 Issue: Volume:103 Page:102113
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Shao Zhimin^ORCID,Dou Weibei^ORCID,Pan Yu

Funder

Tsinghua University

Key Technologies Research and Development Program

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference56 articles.

1. Multimodal intelligence: Representation learning, information fusion, and applications;Zhang;IEEE J. Sel. Top. Sign. Proces.,2020

2. Analysis of multimodal data fusion from an information theory perspective;Dai;Inform. Sci.,2023

3. Modern views of machine learning for precision psychiatry;Chen;Patterns,2022

4. Resting-state fMRI: a review of methods and clinical applications;Lee;Am. J. Neuroradiol.,2013

5. Structural magnetic resonance imaging all over again;Weinberger;JAMA Psychiatry,2021

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1. Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review;Information Fusion;2024-12

2. 3D Object Detection under Urban Road Traffic Scenarios Based on Dual-Layer Voxel Features Fusion Augmentation;Sensors;2024-05-21

3. Deep Evidential Fusion with Uncertainty Quantification and Reliability Learning for Multimodal Medical Image Segmentation;2024

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