AER is a dynamic ensemble method that reports improved balanced accuracy on seven UCI imbalanced datasets and five GMM-generated variants, with a theoretical complexity claim that is not correctly proved.
Rosefw-rf: the winner algorithm for the ecbdl’14 big data competition: an extremely imbalanced big data bioinformatics problem.Knowledge-Based Systems, 87:69–79, 2015
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Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
AER is a dynamic ensemble method that reports improved balanced accuracy on seven UCI imbalanced datasets and five GMM-generated variants, with a theoretical complexity claim that is not correctly proved.