A comparative study on noise filtering of imbalanced data sets-Reference-Cited by-同舟云学术

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A comparative study on noise filtering of imbalanced data sets

Published:2024-10 Issue: Volume:301 Page:112236
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Szeghalmy Szilvia,Fazekas Attila^ORCID

Funder

Debreceni Egyetem

Publisher

Elsevier BV

Reference86 articles.

1. Deep hybrid learning for facial expression binary classifications and predictions;Mishra;Image Vis. Comput.,2022

2. Remote sensing data binary classification using boosting with simple classifiers;Nowakowski;Acta Geophys.,2015

3. Support vector machines under adversarial label noise;Biggio,2011

4. Robust classification via clipping-based kernel recursive least lncosh of error;Sadigh;Expert Syst. Appl.,2022

5. Robust support vector machine classifier with truncated loss function by gradient algorithm;Zhu;Comput. Ind. Eng.,2022

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