"Machine learning interpretability for a stress scenario generation in ..."

Andreas C. Bueff et al. (2022)

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DOI: 10.1016/J.ESWA.2022.117271

access: open

type: Journal Article

metadata version: 2022-07-27

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  - https://dblp.org/rec/journals/eswa/BueffCCJRMB22
Andreas C. Bueff, Mateusz Cytrynski, Raffaella Calabrese, Matthew Jones, John Roberts, Jonathon Moore, Iain Brown:
Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals. Expert Syst. Appl. 202: 117271 (2022)

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