An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data

Research article (Expert Systems with Applications, 2021) · cited 34× · AI/ML
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An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data

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An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-method-to-determine-sample-size-in-oversampling-based-on-classification-complexity-for-imbalanced-data
MLA “An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-method-to-determine-sample-size-in-oversampling-based-on-classification-complexity-for-imbalanced-data.
BibTeX @misc{4ortxyz_an-efficient-method-to-determine-sample-size-in-oversampling-based-on-classification-complexity-for-imbalanced-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-method-to-determine-sample-size-in-oversampling-based-on-classification-complexity-for-imbalanced-data}, note = {Accessed: 2026-05-24}}
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