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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Bibliographic Details

Published in:	Information sciences Vol. 590; pp. 90 - 105
Main Authors:	Huang, Yang, Liu, Duen-Ren, Lee, Shin-Jye, Hsu, Chia-Hao, Liu, Yang-Guang
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.04.2022
Subjects:	Boosting resampling Conditional variational autoencoder Regression problem Conditional variational autoencoder Regression problem Boosting resampling
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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