How to Measure Explainability and Interpretability of Machine Learning Results

Publikation: Beitrag in Buch/Bericht/Tagungsband › Kapitel › Begutachtung

Originalsprache	Englisch (Amerika)
Titel	Genetic Programming Theory and Practice XXI
Herausgeber (Verlag)	Springer
Seiten	357-374
ISBN (elektronisch)	978-981-96-0077-9
ISBN (Print)	978-981-96-0076-2
Publikationsstatus	Veröffentlicht - 28 Feb. 2025

Name	Genetic and Evolutionary Computation
Herausgeber (Verlag)	Springer
ISSN (Print)	1932-0167
ISSN (elektronisch)	1932-0175

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@inbook{1b7408d110694f7fa2809a4f278ab365,

title = "How to Measure Explainability and Interpretability of Machine Learning Results",

author = "Mayrhuber, \{Elisabeth Maria\} and Stephan Winkler and Bogdan Burlacu",

year = "2025",

month = feb,

day = "28",

language = "Englisch (Amerika)",

isbn = "978-981-96-0076-2",

series = "Genetic and Evolutionary Computation",

publisher = "Springer",

pages = "357--374",

booktitle = "Genetic Programming Theory and Practice XXI",

address = "Deutschland",

}