A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Year of publication

2021

Authors

Abdar, M.; Pourpanah, F.; Hussain, S.; Rezazadegan, D.; Liu, L.; Ghavamzadeh, M.; Fieguth, P.; Cao, X.; Khosravi, A.; Acharya, U.R.; Makarenkov, V.; Nahavandi, S.

Organizations and authors

University of Oulu

Liu Li

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Review article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A2 Review article, Literature review, Systematic review

Publication channel information

Journal/Series

Information fusion

Pages

243-297

ISSN

1566-2535

Publication forum

57835

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.1016/j.inffus.2021.05.008

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes