An extension of Synthetic Minority Oversampling Technique based on Kalman filter for imbalanced datasets
More often than not, data collected in real-time tends to be imbalanced i.e., the samples belonging to a particular class are significantly more than the others. This degrades the performance of the predictor. One of the most notable algorithms to handle such an imbalance in the dataset by fabricati...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2022-06-01
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| Col·lecció: | Machine Learning with Applications |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S266682702200010X |
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