MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced Data

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]

Abstract

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