Noisy replication in skewed binary classification

Choosing k for two-class nearest neighbour classifiers with unbalanced classes

Pattern Recognition Letters

Classifier evaluation under limited resources

Pattern Recognition Letters

SMOTE: synthetic minority over-sampling technique

Journal of Artificial Intelligence Research

Using XCS to describe continuous-valued problem spaces

IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems

A novel virtual sample generation method based on Gaussian distribution

Knowledge-Based Systems

Class imbalance methods for translation initiation site recognition in DNA sequences

Knowledge-Based Systems

The class imbalance problem in TLC image classification

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II

Mixed-sampling approach to unbalanced data distributions: a case study involving Leukemia's document profiling

WSEAS Transactions on Information Science and Applications

Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy

Artificial Intelligence in Medicine

Training and assessing classification rules with imbalanced data

Data Mining and Knowledge Discovery