Takahiro Komamizu, Risa Uehara, Yasuhiro Ogawa, Katsuhiko Toyama. MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced Data. In Sven Hartmann, Josef Küng, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Czech Republic, September 14-17, 2020, Proceedings, Part II. Volume 12392 of Lecture Notes in Computer Science, pages 213-228, Springer, 2020. [doi]
@inproceedings{KomamizuUOT20,
title = {MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced Data},
author = {Takahiro Komamizu and Risa Uehara and Yasuhiro Ogawa and Katsuhiko Toyama},
year = {2020},
doi = {10.1007/978-3-030-59051-2_14},
url = {https://doi.org/10.1007/978-3-030-59051-2_14},
researchr = {https://researchr.org/publication/KomamizuUOT20},
cites = {0},
citedby = {0},
pages = {213-228},
booktitle = {Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Czech Republic, September 14-17, 2020, Proceedings, Part II},
editor = {Sven Hartmann and Josef Küng and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
volume = {12392},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59051-2},
}