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1 Ergebnisse
1
AutoXAI : A Framework to Automatically Select the Most A..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Cugny, Robin
;
Aligon, Julien
;
Chevalier, Max
.. - p. 315-324 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557247
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>AutoXAI : A Framework to Automatically Select the Most Adapted XAI Solution</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557247&Exemplar=1&LAN=DE A1 Cugny, Robin A1 Aligon, Julien A1 Chevalier, Max A1 Roman Jimenez, Geoffrey A1 Teste, Olivier PB ACM YR 2022 K1 automl K1 evaluation metrics K1 evaluation of explainability K1 explainable machine learning K1 information system K1 quality of explanation K1 recommender system K1 Computing methodologies K1 Machine learning SP 315 OP 324 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557247 DO https://dl.acm.org/doi/10.1145/3511808.3557247 SF ELIB - SuUB Bremen
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