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Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles

  • Published:2023-03 Issue: Volume:135 Page:109158
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Gutiérrez-López Aitor,González-Serrano Francisco-JavierORCID,Figueiras-Vidal Aníbal R.

Funder

España Ministerio de Ciencia e Innovación

Ministerio de Ciencia e Innovación

Universidad Carlos III de Madrid

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. A heterogeneous ensemble learning framework for spam detection in social networks with imbalanced data;Zhao;Applied Sciences,2020

2. Increasing the performance of machine learning-based IDSs on an imbalanced and up-to-date dataset;Karatas;IEEE Access,2020

3. Learning misclassification costs for imbalanced classification on gene expression data;Lu;BMC Bioinformatics,2019

4. A comprehensive data level analysis for cancer diagnosis on imbalanced data;Fotouhi;J. of Biomedical Informatics,2019

5. Performance of machine learning algorithms for class-imbalanced process fault detection problems;Lee;IEEE Trans. on Semiconductor Manufacturing,2016
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