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Massive Offline Signature Forgery Detection with Extreme Learning Machines

Year of publication

2024

Authors

Espinosa-Leal, Leonardo; Li, Zhen; Hu, Renjie; Björk, Kaj-Mikael

Organizations and authors

Arcada University of Applied Sciences

Espinosa-Leal Leonardo Orcid -palvelun logo

Björk Kaj-Mikael Orcid -palvelun logo

Li Zhen

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A4 Article in conference proceedings

Publication channel information

Journal

Proceedings in Adaptation, Learning and Optimization

Conference

The 12th International Conference on Extreme Learning Machines 2022

Publisher

Springer Nature Switzerland

Volume

18

Pages

9-15

ISSN

2363-6084

ISBN

978-3-031-55055-3

​Publication forum

84312

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Computer and information sciences

Keywords

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

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/978-3-031-55056-0_2

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

Yes