Results 291 to 300 of about 46,171 (307)
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Optimisation and Evaluation of Random Forests for Imbalanced Datasets

2006
This 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
openaire   +1 more source

A review of methods for imbalanced multi-label classification

Pattern Recognition, 2021
Adane Nega Tarekegn   +2 more
exaly  

Balancing techniques for imbalanced datasets

Proceedings of the 8th International Research Congress REDU, 2022
Luis Cedeño-Valarezo   +3 more
openaire   +1 more source

A Survey of Predictive Modeling on Imbalanced Domains

ACM Computing Surveys, 2017
Paula Branco   +2 more
exaly  

Learning from Imbalanced Data

IEEE Transactions on Knowledge and Data Engineering, 2009
Haibo He
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

Imbalanced Fermi gases at unitarity

Physics Reports, 2013
H T C Stoof
exaly  

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