Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms

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Imbalanced multi-label data classification as a bi-level optimization problem: application to miRNA-related diseases diagnosis

M Chabbouh, S Bechikh, E Mezura-Montes… - Neural Computing and …, 2023 - Springer
In multi-label classification, each instance could be assigned multiple labels at the same
time. In such a situation, the relationships between labels and the class imbalance are two …
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[HTML][HTML] Multi-Label Classification Algorithm for Adaptive Heterogeneous Classifier Group

M Han, S Yang, H Wu, J Ding - Mathematics, 2024 - mdpi.com
Ensemble classification is widely used in multi-label algorithms, and it can be divided into
homogeneous ensembles and heterogeneous ensembles according to classifier types. A …
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