Shapley value-based approaches to explain the quality of predictions by classifiers

Pelegrina, G.D. and Siraj, S. orcid.org/0000-0002-7962-9930 (2024) Shapley value-based approaches to explain the quality of predictions by classifiers. IEEE Transactions on Artificial Intelligence, 5 (8). 4217 -4231. ISSN 2691-4581

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Item Type: Article
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Keywords: explainable artificial intelligence, machine learning, business analytics
Dates:
  • Published: August 2024
  • Published (online): 21 February 2024
  • Accepted: 5 February 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS)
Depositing User: Symplectic Publications
Date Deposited: 23 Apr 2024 10:22
Last Modified: 08 Oct 2024 01:53
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: 10.1109/tai.2024.3365082
Open Archives Initiative ID (OAI ID):

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