The effect of rebalancing techniques on the classification performance in cyberbullying datasets

A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning

(2023) Dina Elreedy et al.   MACHINE LEARNING

Cost-sensitive learning with modified Stein loss function

(2023) Saiji Fu et al.   NEUROCOMPUTING

Median-KNN Regressor-SMOTE-Tomek Links for Handling Missing and Imbalanced Data in Air Quality Prediction

(2023) Winoto Chandra et al.   Symmetry-Basel

An empirical study of dynamic selection and random under-sampling for the class imbalance problem

(2023) Shuhua Monica Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-label Arabic text classification in Online Social Networks

(2021) Ahmed Omar et al.   INFORMATION SYSTEMS

Class Imbalance Ensemble Learning Based on the Margin Theory

(2018) Wei Feng et al.   Applied Sciences-Basel

A multi-objective optimisation approach for class imbalance learning

(2011) Paolo Soda   PATTERN RECOGNITION

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS