A Novel Synthetic Minority Oversampling Technique for Multiclass Imbalance Problems

Multi-class imbalanced datasets present significant challenges in many real-world classification tasks, where certain classes are severely underrepresented. This study addresses the classification problems with multi-class imbalanced datasets, which are inherently more complicated than binary imbala...

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Bibliographic Details
Main Authors: Jiao Wang, Norhashidah Awang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10829925/
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