Guideline for Deployment of Machine Learning Models for Predictive Quality in Production
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: 10.1016/j.procir.2022.05.068
- Event
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Veröffentlichung
- (where)
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Aachen
- (who)
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Universitätsbibliothek der RWTH Aachen
- (when)
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2022
- Creator
- DOI
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10.18154/RWTH-2022-09305
- URN
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urn:nbn:de:101:1-2022102101465534073218
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
01.03.2025, 2:52 PM CET
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
- Heymann, Henrik
- Kies, Alexander D.
- Frye, Maik
- Schmitt, Robert
- Boza, Andrés
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2022
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Evaluation Methodology for Interpretation Methods of Predictive Quality Models
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Development and deployment of a cloud-based system architecture for domain-specific AutoML systems
A Data-based Approach for Quality Regulation
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