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    Multi-label imbalanced classification based on assessments of cost and value

    Multi-label imbalanced data comprise data with a disproportionate number of samples in the classes. Traditional classifiers are more suitable for classifying balanced data because the classification performanc...

    Mengxiao Ding, Youlong Yang, Zhiqing Lan in Applied Intelligence (2018)