An oversampling framework for imbalanced classification based on Laplacian eigenmaps

Research article (Neurocomputing, 2020) · cited 41× · AI/ML
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An oversampling framework for imbalanced classification based on Laplacian eigenmaps

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An oversampling framework for imbalanced classification based on Laplacian eigenmaps is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-oversampling-framework-for-imbalanced-classification-based-on-laplacian-eigenmaps
MLA “An oversampling framework for imbalanced classification based on Laplacian eigenmaps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-oversampling-framework-for-imbalanced-classification-based-on-laplacian-eigenmaps.
BibTeX @misc{4ortxyz_an-oversampling-framework-for-imbalanced-classification-based-on-laplacian-eigenmaps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An oversampling framework for imbalanced classification based on Laplacian eigenmaps}}, year = {2026}, url = {https://4ort.xyz/entity/an-oversampling-framework-for-imbalanced-classification-based-on-laplacian-eigenmaps}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An oversampling framework for imbalanced classification based on Laplacian eigenmaps — https://4ort.xyz/entity/an-oversampling-framework-for-imbalanced-classification-based-on-laplacian-eigenmaps (retrieved 2026-05-24)

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