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Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach (2022)

First Author: Schulz J

Attributed to: Turing AI Fellowship: Interactive Annotations in AI funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.7557/18.6294

Publication URI: http://dx.doi.org/10.7557/18.6294

Type: Journal Article/Review

Parent Publication: Proceedings of the Northern Lights Deep Learning Workshop