1. Improving rotation forest performance for imbalanced data classification through fuzzy clustering;Hosseinzadeh;Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium,2015
2. Survey on classification algorithms for imbalanced dataset;Rajan;Int. Inst. Technol. Res. Dev.,2015
3. A novel ensemble method for classifying imbalanced data;Sun;Pattern Recogn.,2015
4. Feature subset selection using Information Energy and correlation coefficients of hesitant fuzzy sets;Ebrahimpour,2015
5. Proposing a novel feature selection algorithm based on Hesitant Fuzzy Sets and correlation concepts;Ebrahimpour,2015