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...
| 出版年: | International Journal on Informatics Visualization |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Politeknik Negeri Padang
2024
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| 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 |