TS-MULE : Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, Proceedings, Part I / Kamp, Michael et al. (Hrsg.). - Cham : Springer, 2022. - (Communications in Computer and Information Science ; 1524). - S. 5-14. - ISBN 978-3-030-93735-5
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, 13. Sep. 2021 - 17. Sep. 2021
- Ereignis
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Veröffentlichung
- (wo)
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Konstanz
- (wer)
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KOPS Universität Konstanz
- (wann)
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2022
- Urheber
- URN
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urn:nbn:de:bsz:352-2-vxq3bhqko6i12
- Rechteinformation
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Schlegel, Udo
- Vo, Duy Lam
- Keim, Daniel
- Seebacher, Daniel
- KOPS Universität Konstanz
Entstanden
- 2022
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