Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.
Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama. An Ensemble Framework of Multi-ratio Undersampling-based Imbalanced Classification. J. Data Intell., 2(1):30-46, 2021. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: MUEnsemble: Multi-ratio Undersampling-Based Ensemble Framework for Imbalanced DataTakahiro Komamizu, Risa Uehara, Yasuhiro Ogawa, Katsuhiko Toyama. DEXA 2020: 213-228 [doi] MMEnsemble: Imbalanced Classification Framework Using Metric Learning and Multi-sampling Ratio EnsembleTakahiro Komamizu. DEXA 2021: 176-188 [doi]
The following publications are possibly variants of this publication: