Record link: 
http://hdl.handle.net/20.500.12708/193824
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Title: 
Explainable outlier detection based on Shapley values
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Citation: 
Mayrhofer, M., & Filzmoser, P. (2023). Explainable outlier detection based on Shapley values. In PROGRAMME AND ABSTRACTS 25th International Conference on Computational Statistics (COMPSTAT 2023) (pp. 13–14).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Mayrhofer, Marcus 
Filzmoser, Peter 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
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Published in: 
PROGRAMME AND ABSTRACTS 25th International Conference on Computational Statistics (COMPSTAT 2023) 
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Date (published): 
23-Aug-2023
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Event name: 
25th International Conference on Computational Statistics (COMPSTAT 2023) 
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Event date: 
22-Aug-2023 - 25-Aug-2023
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Event place: 
London, United Kingdom of Great Britain and Northern Ireland (the)
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Number of Pages: 
1
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Keywords: 
Robust statistics; Explainable AI
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Project title: 
Automotive Intelligence for/at Connected Shared Mobility: 101007326-2 - AI4CSM (European Commission) 
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Research Areas: 
Fundamental Mathematics Research: 100%
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Science Branch: 
1010 - Mathematik: 100%
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Appears in Collections:
Conference Paper

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