Cost-Sensitive Variational Autoencoding Classifier for Imbalanced Data Classification

Classification is among the core tasks in machine learning. Existing classification algorithms are typically based on the assumption of at least roughly balanced data classes. When performing tasks involving imbalanced data, such classifiers ignore the minority data in consideration of the overall a...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Fen Liu, Quan Qian
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Subjects:	variational autoencoder imbalanced data classification cost-sensitive learning
Online Access:	https://www.mdpi.com/1999-4893/15/5/139