Optimal selection of resampling methods for imbalanced data with high complexity

Research article (PLoS ONE, 2023) · cited 21× · AI/ML
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Optimal selection of resampling methods for imbalanced data with high complexity

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Optimal selection of resampling methods for imbalanced data with high complexity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimal selection of resampling methods for imbalanced data with high complexity. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-selection-of-resampling-methods-for-imbalanced-data-with-high-complexity
MLA “Optimal selection of resampling methods for imbalanced data with high complexity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-selection-of-resampling-methods-for-imbalanced-data-with-high-complexity.
BibTeX @misc{4ortxyz_optimal-selection-of-resampling-methods-for-imbalanced-data-with-high-complexity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal selection of resampling methods for imbalanced data with high complexity}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-selection-of-resampling-methods-for-imbalanced-data-with-high-complexity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal selection of resampling methods for imbalanced data with high complexity — https://4ort.xyz/entity/optimal-selection-of-resampling-methods-for-imbalanced-data-with-high-complexity (retrieved 2026-05-24)

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