AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

Ensemble models achieve high accuracy by combining a number of base estimators and can increase the reliability of machine learning compared to a single estimator. Additionally, an ensemble model enables a machine learning method to deal with imbalanced data, which is considered to be one of the mos...

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Bibliographic Details
Main Authors: Aboozar Taherkhani, Georgina Cosma, Martin McGinnity
Format: Default Article
Published: 2020
Subjects:
Deep learning
Ensemble models
AdaBoost
Imbalanced data
Transfer learning
Online Access:https://hdl.handle.net/2134/12196116.v1
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https://hdl.handle.net/2134/12196116.v1

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