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MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software (2022)

First Author: Chen Z

Attributed to: UKRI Trustworthy Autonomous Systems Node in Verifiability funded by SPF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1145/3540250.3549093

Publication URI: http://dx.doi.org/10.1145/3540250.3549093

Type: Conference/Paper/Proceeding/Abstract