An empirical study on the joint impact of feature selection and data resampling on imbalance classification

Research article (Applied Intelligence, 2022) · cited 33× · AI/ML
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An empirical study on the joint impact of feature selection and data resampling on imbalance classification

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An empirical study on the joint impact of feature selection and data resampling on imbalance classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-resampling-on-imbalance-classification
MLA “An empirical study on the joint impact of feature selection and data resampling on imbalance classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-resampling-on-imbalance-classification.
BibTeX @misc{4ortxyz_an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-resampling-on-imbalance-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study on the joint impact of feature selection and data resampling on imbalance classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-resampling-on-imbalance-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An empirical study on the joint impact of feature selection and data resampling on imbalance classification — https://4ort.xyz/entity/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-resampling-on-imbalance-classification (retrieved 2026-05-24)

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