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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Συγγραφείς: Chen, Zhenpeng, Zhang, Jie M., Sarro, Federica, Harman, Mark
Πηγή: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :1122-1134
Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3540250.3549093
Βάση Δεδομένων: ACM Full-Text Collection