M2GDL: Multi-manifold guided dictionary learning based oversampling and data validation for highly imbalanced classification problems-Reference-Cited by-同舟云学术

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M2GDL: Multi-manifold guided dictionary learning based oversampling and data validation for highly imbalanced classification problems

Published:2024-11 Issue: Volume:682 Page:121280
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Feizi Tayyebe,Moattar Mohammad Hossein^ORCID,Tabatabaee Hamid

Publisher

Elsevier BV

Reference48 articles.

1. Tran, T.C. and T.K. Dang. Machine Learning for Prediction of Imbalanced Data: Credit Fraud Detection. in 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM). 2021.

2. A lightweight weakly supervised learning segmentation algorithm for imbalanced image based on rotation density peaks;Yan;Knowl.-Based Syst.,2022

3. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation;Yeung;Comput. Med. Imaging Graph.,2022

4. A comparative study on online machine learning techniques for network traffic streams analysis;Shahraki;Comput. Netw.,2022

5. Machine Learning With Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection;Lin;IEEE Access,2022

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