A boosting resampling method for regression based on a conditional variational autoencoder

•Proposes a novel resampling method based on a deep generative model to deal with the imbalanced regression data sets.•Improves the effect of undersampling and reduces the number of normal samples without losing informative samples by the proposed undersampling method.•Improves the quality of new ra...

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Vydané v:	Information sciences Ročník 590; s. 90 - 105
Hlavní autori:	Huang, Yang, Liu, Duen-Ren, Lee, Shin-Jye, Hsu, Chia-Hao, Liu, Yang-Guang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.04.2022
Predmet:	Boosting resampling Conditional variational autoencoder Regression problem Conditional variational autoencoder Regression problem Boosting resampling
ISSN:	0020-0255, 1872-6291
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