HCAB-SMOTE: A Hybrid Clustered Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 29.6K citations · Full text

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier · PLoS ONE · 2015 · 4.2K citations · Full text

Engineering, Machine Learning, Diagnosis +17

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

Georgios Douzas, Fernando Bação, Felix Last · Information Sciences · 2018 · 1.1K citations · Full text

Heuristic Oversampling Method, Data Classification, Classification Method +9

Learning from Imbalanced Data Sets: A Comparison of Various Strategies *

Nathalie Japkowicz · 2000 · 453 citations

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

Alberto Fernández, Victoria López, Mikel Galar et al. · Knowledge-Based Systems · 2013 · 376 citations

Data Classification, Classification Method, Engineering +14