PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets

Q Chen, ZL Zhang, WP Huang, J Wu, XG Luo - Neurocomputing, 2022 - Elsevier
Class imbalance learning is one of the most important topics in the field of machine learning
and data mining, and the Synthetic Minority Oversampling Techniques (SMOTE) is the …

PF-SMOTE:: A novel parameter-free SMOTE for imbalanced datasets

Q Chen, ZL Zhang, WP Huang, J Wu, XG Luo - 2022 - dl.acm.org
Class imbalance learning is one of the most important topics in the field of machine learning
and data mining, and the Synthetic Minority Oversampling Techniques (SMOTE) is the …