TS-MULE : Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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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
- Event
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Veröffentlichung
- (where)
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Konstanz
- (who)
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KOPS Universität Konstanz
- (when)
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2022
- Creator
- URN
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urn:nbn:de:bsz:352-2-vxq3bhqko6i12
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schlegel, Udo
- Vo, Duy Lam
- Keim, Daniel
- Seebacher, Daniel
- KOPS Universität Konstanz
Time of origin
- 2022
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