FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold

FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold

Among the many methods of deep semi-supervised learning (DSSL), the holistic method combines ideas from other methods, such as consistency regularization and pseudo-labeling, with great success. This method typically introduces a threshold to utilize unlabeled data. If the highest predictive value f...

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Bibliographic Details
Main Authors: Xin Wu, Jingjing Xu, Kuan Li, Jianping Yin, Jian Xiong
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
deep semi-supervised learning
unbalanced data
classification
dynamic threshold
Online Access:https://www.mdpi.com/2227-7390/13/3/392
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