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"SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking ..."

Alberto Fernández et al. (2018)

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DOI: 10.1613/JAIR.1.11192

access: open

type: Journal Article

metadata version: 2022-09-19

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  - journals/jair/0001GHC18
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  - https://dblp.org/rec/journals/jair/0001GHC18
Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla:
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary. J. Artif. Intell. Res. 61: 863-905 (2018)

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