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Feature importance in the age of explainable AI: Case study..:
Kumar, Ajay
;
Taylor, James W.
European Journal of Operational Research. 317 (2024) 2 - p. 401-413 , 2024
Link:
https://doi.org/10.1016/j.ejor.2023.10.003
RT Journal T1 <Title>Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ejor.2023.10.003&Exemplar=1&LAN=DE A1 Kumar, Ajay A1 Taylor, James W. PB Elsevier BV YR 2024 SN 0377-2217 JF European Journal of Operational Research VO 317 IS 2 SP 401 OP 413 LK http://dx.doi.org/https://doi.org/10.1016/j.ejor.2023.10.003 DO https://doi.org/10.1016/j.ejor.2023.10.003 SF ELIB - SuUB Bremen
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