An Adaptive and Robust Method for Oriented Oversampling With Spatial Information for Imbalanced Noisy Datasets
Imbalanced datasets have a large negative impact on the classifiers, biasing the classification results towards the majority class. Since imbalanced data distribution is an inevitable and significant challenge in the real world, many variants of SMOTE have been proposed. However, current oversamplin...
| 出版年: | IEEE Access |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2023-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10305169/ |