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A comprehensive taxonomy for explainable artificial intelligence : a systematic survey of surveys on methods and concepts
Schwalbe, Gesina; Finzel, Bettina (2023): „A comprehensive taxonomy for explainable artificial intelligence : a systematic survey of surveys on methods and concepts“. Dordrecht [u.a.]: Springer Science + Business Media B.V doi: 10.1007/s10618-022-00867-8.
Faculty/Professorship:
Author:
Title of the Journal:
Data mining and knowledge discovery
ISSN:
1384-5810
1573-756X
Publisher Information:
Year of publication:
2023
Issue:
online first
Pages:
Language:
English
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Article
published:
May 2, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/94996