Classifying Imbalanced Data Sets by a Novel RE-Sample and Cost-Sensitive Stacked Generalization Method

Effect of class imbalance on quality measures for contrast patterns: An experimental study

(2016) Octavio Loyola-González et al.   INFORMATION SCIENCES

Classifying imbalanced data sets using similarity based hierarchical decomposition

(2015) Cigdem Beyan et al.   PATTERN RECOGNITION

Applying Ant Colony Optimization to configuring stacking ensembles for data mining

(2013) YiJun Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

ADJUSTED GEOMETRIC-MEAN: A NOVEL PERFORMANCE MEASURE FOR IMBALANCED BIOINFORMATICS DATASETS LEARNING

(2012) RUKSHAN BATUWITA et al.   Journal of Bioinformatics and Computational Biology

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Learning from Imbalanced Data

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

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

(2009) Chris Seiffert et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

Automatically countering imbalance and its empirical relationship to cost

(2008) Nitesh V. Chawla et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

(2008) S. García et al.   SOFT COMPUTING