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A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano

Machine Learning · 2023 · 151 citations · 106 references

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106

Learning from Imbalanced Data

Haibo He, Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009 · 9.7K citations

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Learning from imbalanced data: open challenges and future directions

Bartosz Krawczyk · Progress in Artificial Intelligence · 2016 · 2.4K citations · Full text

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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Alberto Fernández, Salvador García, Francisco Herrera et al. · Journal of Artificial Intelligence Research · 2018 · 2.1K citations · Full text

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EXPERT SYSTEMS WITH APPLICATIONS

Expert Systems with Applications · 2004 · 1.7K citations

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The impact of class imbalance in classification performance metrics based on the binary confusion matrix

Amalia Luque Sendra, Alejandro Carrasco, Ana de las Heras · Pattern Recognition · 2019 · 1.1K citations · Full text

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