Explainable artificial intelligence enhances the ecological interpretability of black-box species distribution models

Explainable artificial intelligence enhances the ecological interpretability of black-box species distribution models

Year of publication

2021

Authors

Ryo, Masahiro; Angelov, Boyan; Mammola, Stefano; Kass, Jamie M.; Benito, Blas M.; Hartig, Florian

Organizations and authors

University of Helsinki

Mammola Stefano

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Parent publication name

Ecography

Volume

44

Issue

2

Pages

199-205

​Publication forum

54961

​Publication forum level

2

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

License of the self-archived publication

CC BY

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1111/ecog.05360

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

Yes

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