Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 1 of 29
Back to Result List

Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance Measures that Reveal Insights on Errors

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Holger ZiekowGND, Ulf SchreierGND, Alexander GerlingORCiD, Alaa Saleh
DOI:https://doi.org/10.48537/gdsj-nz68
Parent Title (English):The Upper-Rhine Artificial Intelligence Symposium, UR-AI 2021, Artificial Intelligence - Application in Life Sciences and Beyond, 27th October 2021, Kaiserslautern, Germany
Publisher:Hochschule Kaiserslautern, University of Applied Sciences
Place of publication:Kaiserslautern
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Release Date:2021/12/21
First Page:96
Last Page:105
Open-Access-Status: Open Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International