Record link: 
http://hdl.handle.net/20.500.12708/193823
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Title: 
Explainable Multivariate Outlier Detection based on Shapley Values
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Citation: 
Mayrhofer, M., & Filzmoser, P. (2023). Explainable Multivariate Outlier Detection based on Shapley Values. In Book of Abstracts Olomoucian Days of Applied Mathematics ODAM 2023 (pp. 53–53).
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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 - Institut für Stochastik und Wirtschaftsmathematik 
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Published in: 
Book of Abstracts Olomoucian Days of Applied Mathematics ODAM 2023 
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Date (published): 
12-Jun-2023
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Event name: 
Olomoucian Days of Applied Mathematics ODAM 2023 
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Event date: 
12-Jun-2023 - 14-Jun-2023
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Event place: 
Olomouc, Czechia
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Number of Pages: 
1
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Keywords: 
Anomaly explanation; Shapley value; Mahalanobis distance
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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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