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Optimisation and Evaluation of Random Forests for Imbalanced Datasets
2006This paper deals with an optimization of Random Forests which aims at: adapting the concept of forest for learning imbalanced data as well as taking into account user's wishes as far as recall and precision rates are concerned. We propose to adapt Random Forest on two levels.
Julien Thomas +2 more
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A review of methods for imbalanced multi-label classification
Pattern Recognition, 2021Adane Nega Tarekegn +2 more
exaly
Balancing techniques for imbalanced datasets
Proceedings of the 8th International Research Congress REDU, 2022Luis Cedeño-Valarezo +3 more
openaire +1 more source
A Survey of Predictive Modeling on Imbalanced Domains
ACM Computing Surveys, 2017Paula Branco +2 more
exaly
Machine Learning Model for the Imbalanced Dataset
2025 14th Mediterranean Conference on Embedded Computing (MECO)Stanislav A. Krivenko +2 more
openaire +1 more source

