Wasserstein-based fairness interpretability framework for machine learning models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-0565
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Wasserstein-based fairness interpretability framework for machine learning models ; volume:111 ; number:9 ; day:21 ; month:7 ; year:2022 ; pages:3307-3357 ; date:9.2022
Machine learning ; 111, Heft 9 (21.7.2022), 3307-3357, 9.2022
- Urheber
-
Miroshnikov, Alexey
Kotsiopoulos, Konstandinos
Franks, Ryan
Ravi Kannan, Arjun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-022-06213-9
- URN
-
urn:nbn:de:101:1-2022120221174274815216
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
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Beteiligte
- Miroshnikov, Alexey
- Kotsiopoulos, Konstandinos
- Franks, Ryan
- Ravi Kannan, Arjun
- SpringerLink (Online service)
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