XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance ; volume:113 ; number:9 ; day:16 ; month:7 ; year:2024 ; pages:6871-6910 ; date:9.2024
Machine learning ; 113, Heft 9 (16.7.2024), 6871-6910, 9.2024
- Creator
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Clark, Benedict
Wilming, Rick
Haufe, Stefan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10994-024-06574-3
- URN
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urn:nbn:de:101:1-2410272145096.097055516759
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Clark, Benedict
- Wilming, Rick
- Haufe, Stefan
- SpringerLink (Online service)
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TRiS
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Tris(trifluoromethanesulfonato)indium
Under false flag: using technical artifacts for cyber attack attribution
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Under false flag: using technical artifacts for cyber attack attribution
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Adjective attribution
Tris... - Tz...
"tRIS
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Vonna-Michell, Tris