GeFeS: A generalized wrapper feature selection approach for optimizing classification performance

Research article (Computers in Biology and Medicine, 2020) · cited 70× · AI/ML
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GeFeS: A generalized wrapper feature selection approach for optimizing classification performance

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GeFeS: A generalized wrapper feature selection approach for optimizing classification performance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GeFeS: A generalized wrapper feature selection approach for optimizing classification performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/gefes-a-generalized-wrapper-feature-selection-approach-for-optimizing-classification-performance
MLA “GeFeS: A generalized wrapper feature selection approach for optimizing classification performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gefes-a-generalized-wrapper-feature-selection-approach-for-optimizing-classification-performance.
BibTeX @misc{4ortxyz_gefes-a-generalized-wrapper-feature-selection-approach-for-optimizing-classification-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GeFeS: A generalized wrapper feature selection approach for optimizing classification performance}}, year = {2026}, url = {https://4ort.xyz/entity/gefes-a-generalized-wrapper-feature-selection-approach-for-optimizing-classification-performance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GeFeS: A generalized wrapper feature selection approach for optimizing classification performance — https://4ort.xyz/entity/gefes-a-generalized-wrapper-feature-selection-approach-for-optimizing-classification-performance (retrieved 2026-05-24)

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