Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
In: Computational Science – ICCS 2022 : 22nd International Conference, London, UK, June 21–23, Jg. 13352 (2022), S. 668-675
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Zugriff:
Titel: |
Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
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Autor/in / Beteiligte Person: | Kuk, Michał ; Bobek, Szymon ; Nalepa, Grzegorz J. ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Groen, Derek [Ed.] ; de Mulatier, Clélia [Ed.] ; Paszynski, Maciej [Ed.] ; Krzhizhanovskaya, Valeria V. [Ed.] ; Dongarra, Jack J. [Ed.] ; Sloot, Peter M. A. [Ed.] |
Zeitschrift: | Computational Science – ICCS 2022 : 22nd International Conference, London, UK, June 21–23, Jg. 13352 (2022), S. 668-675 |
Veröffentlichung: | 2022 |
Medientyp: | E-Book |
ISBN: | 978-3-031-08756-1 (print) ; 978-3-031-08757-8 (print) |
DOI: | 10.1007/978-3-031-08757-8_55 |
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