Information Sciences · 2021 · 63 citations · 36 references
ComputingComputer ScienceFeature EngineeringMachine LearningClassificationEnsemble LearningEnsemble MethodsRepresentation LearningSupervised LearningClass Imbalance HandlingClass Imbalance LearningImbalanceImbalanced ClassificationImbalanced LearningMulti-label Feature SelectionMultilabel Classification
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Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text
A Comparative Study on Feature Selection in Text Categorization
Yiming Yang, Jan Pedersen · 1997 · 4.8K citations
ML-KNN: A lazy learning approach to multi-label learning
Min-Ling Zhang, Zhi‐Hua Zhou · Pattern Recognition · 2007 · 3.5K citations