"Explainable AI for Operational Research: A defining framework, methods, ..."

Koen W. De Bock et al. (2024)

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DOI: 10.1016/J.EJOR.2023.09.026

access: open

type: Journal Article

metadata version: 2024-12-09

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Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber:
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317(2): 249-272 (2024)

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