Explainable machine learning by SEE-Net: closing the gap between interpretable models and DNNs
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Explainable machine learning by SEE-Net: closing the gap between interpretable models and DNNs ; volume:14 ; number:1 ; day:1 ; month:11 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (1.11.2024), 1-16, 12.2024
- Urheber
-
Seo, Beomseok
Li, Jia
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-77507-2
- URN
-
urn:nbn:de:101:1-2501212119129.042521573937
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
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Beteiligte
- Seo, Beomseok
- Li, Jia
- SpringerLink (Online service)
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