Reliable Classification with Ensemble Convolutional Neural Networks.
Zhen GaoHan ZhangXiaohui WeiTong YanKangkang GuoWenshuo LiYu WangPedro ReviriegoPublished in: DFT (2020)
Keyphrases
- convolutional neural networks
- classification accuracy
- training set
- final classification
- support vector
- pattern recognition
- pattern classification
- feature selection
- majority voting
- generalization ability
- feature extraction
- random forest
- support vector machine
- classification method
- image classification
- automatic classification
- neural network
- classification systems
- classification algorithm
- benchmark datasets
- machine learning
- training samples
- ensemble learning
- preprocessing
- ensemble methods
- machine learning methods
- supervised learning
- svm classifier
- model selection
- support vector machine svm
- data sets
- multiple classifiers
- imbalanced data
- learning algorithm
- combination of multiple classifiers
- classifier ensemble
- ensemble classifier
- regression problems
- decision trees
- training data
- multiscale
- feature vectors
- classification rules
- multi class
- decision rules
- feature set