AGNES-SMOTE: An Oversampling Algorithm Based on Hierarchical Clustering and Improved SMOTE

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

(2018) Georgios Douzas et al.   INFORMATION SCIENCES

GIR-based ensemble sampling approaches for imbalanced learning

(2017) Bo Tang et al.   PATTERN RECOGNITION

Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets

(2016) Iman Nekooeimehr et al.   EXPERT SYSTEMS WITH APPLICATIONS

A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification

(2016) Yitian Xu et al.   KNOWLEDGE-BASED SYSTEMS

An Efficient Cost-Sensitive Feature Selection Using Chaos Genetic Algorithm for Class Imbalance Problem

(2016) Jing Bian et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Cost-Sensitive Large margin Distribution Machine for classification of imbalanced data

(2016) Fanyong Cheng et al.   PATTERN RECOGNITION LETTERS

A review of boosting methods for imbalanced data classification

(2014) Qiujie Li et al.   PATTERN ANALYSIS AND APPLICATIONS

Knowledge discovery from imbalanced and noisy data

(2009) Jason Van Hulse et al.   DATA & KNOWLEDGE ENGINEERING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING