nDeepSMOTEc: An Oversampling Method for Structured Datasets

The problem of imbalanced data is pervasive in the field of machine learning, particularly in applications such as medical diagnosis and fraud detection, where minority class samples are crucial for accurate model predictions. To improve classifier performance on imbalanced datasets, this study prop...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Wen-Lin Fan, Chun-Chi Chuang, Chia-Wen Hsu, Chieh-Chi Huang, Ting-Rui Guo, Chung-Chian Hsu
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Imbalanced datasets oversampling technique deep learning structured data DeepSMOTE
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11151264/