A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance-Reference-Cited by-同舟云学术

A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance

Published:2019-12 Issue: Volume:505 Page:32-64
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Elreedy Dina^ORCID,Atiya Amir F.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference45 articles.

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4. A bias and variance analysis for multistep-ahead time series forecasting;Ben Taieb;IEEE Trans. Neural Netw. Learn. Syst.,2016

5. Safe-Level-SMOTE : Safe-Level-Synthetic Minority Over-Sampling TEchnique;Bunkhumpornpat,2009

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