A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data

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A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data

This study investigates the usefulness of the Synthetic Minority Oversampling Technique (SMOTE) in conjunction with convolutional neural network (CNN) models, which include both single and ensemble classifiers. The objective of this research is to handle the difficulty of multi-class imbalanced imag...

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Bibliographic Details
Published in:	International Journal on Informatics Visualization
Main Author:	Gao X.; Jamil N.; Ramli M.I.; Ariffin S.M.Z.S.Z.
Format:	Article
Language:	English
Published:	Politeknik Negeri Padang 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189610439&doi=10.62527%2fjoiv.8.1.2194&partnerID=40&md5=fde1ce93c2d09526862bd2a73f948536

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