Deakin University
Browse

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

Version 3 2024-09-20, 10:17
Version 2 2024-06-05, 12:06
Version 1 2023-02-20, 22:27
journal contribution
posted on 2024-09-20, 10:17 authored by M Abdar, S Salari, S Qahremani, HK Lam, F Karray, S Hussain, Abbas KhosraviAbbas Khosravi, UR Acharya, V Makarenkov, S Nahavandi
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

History

Journal

Information Fusion

Volume

90

Pagination

364-381

Location

Netherlands

Publisher DOI

ISSN

1566-2535

eISSN

1872-6305

Language

English

Author URL

Publication classification

C1 Refereed article in a scholarly journal

Publisher

ELSEVIER

Publication URL

Usage metrics

    Research Publications

    Categories

    Keywords

    Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsComputer ScienceCOVID-19Deep learningEarly fusionFeature fusionUncertainty quantificationLEARNING TECHNIQUESDEEPCLASSIFICATIONQUANTIFICATIONINFORMATIONNEED

    Licence

    All Rights Reserved

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC