@inproceedings{e64f7bb0abca46cb8bfe7ecf89a2ce80,
title = "Relevance-based evaluation metrics for multi-class imbalanced domains",
author = "Paula Branco and Lu{\'i}s Torgo and Ribeiro, {Rita P.}",
note = "Funding Information: This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, and by National Funds through the FCT – Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013. The work of P. Branco is supported by a Ph.D. scholarship of FCT (PD/BD/105788/2014). Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017 ; Conference date: 23-05-2017 Through 26-05-2017",
year = "2017",
doi = "10.1007/978-3-319-57454-7_54",
language = "English",
isbn = "9783319574530",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "698--710",
editor = "Kyuseok Shim and Jae-Gil Lee and Longbing Cao and Xuemin Lin and Jinho Kim and Yang-Sae Moon",
booktitle = "Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Proceedings",
address = "Germany",
}