@inproceedings{abe4ee820d3c4042b71cea20d2f3bb51,
title = "Explaining the performance of black box regression models",
author = "Ines Areosa and Luis Torgo",
note = "Funding Information: This work is partially funded by Portuguese Science and Technology Foundation (FCT) through the NI-TROLIMIT project (PTDC/CTA-AMB/30997/2017) and the project UID/EEA/50014/2019. The work of L. Torgo was undertaken, in part, thanks to funding from the Canada Research Chairs program. Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019 ; Conference date: 05-10-2019 Through 08-10-2019",
year = "2019",
month = oct,
doi = "10.1109/DSAA.2019.00025",
language = "English",
series = "Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--118",
editor = "Lisa Singh and {De Veaux}, Richard and George Karypis and Francesco Bonchi and Jennifer Hill",
booktitle = "Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019",
address = "United States",
}