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...

書誌詳細
出版年:	International Journal on Informatics Visualization
第一著者:	Gao X.; Jamil N.; Ramli M.I.; Ariffin S.M.Z.S.Z.
フォーマット:	論文
言語:	English
出版事項:	Politeknik Negeri Padang 2024
オンライン･アクセス:	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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