Neighborhood repartition-based oversampling algorithm for multiclass imbalanced data with label noise-Reference-Cited by-同舟云学术

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Neighborhood repartition-based oversampling algorithm for multiclass imbalanced data with label noise

Published:2024-10 Issue: Volume:600 Page:128090
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shen Shiyi^ORCID,Li Zhixin^ORCID,Huan Zhan,Shang Fanqi,Wang Yongsong,Chen Ying

Publisher

Elsevier BV

Reference46 articles.

1. Diagnosis of heart failure from imbalance datasets using multi-level classification;Li;Biomed. Signal Process. Control,2023

2. An adaptive loss backward feature elimination method for class-imbalanced and mixed-type data in medical diagnosis;Fu;Chemometr. Intell. Lab. Syst.,2023

3. Recurrent reconstructive network for sequential anomaly detection;Yoo;IEEE Trans. Cybern.,2021

4. New appliance detection for nonintrusive load monitoring;Zhang;IEEE Trans. Ind. Inform.,2019

5. Revealing new therapeutic opportunities through drug target prediction: a class imbalance-tolerant machine learning approach;Liang;Bioinformatics,2020

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