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Reliable Classification with Ensemble Convolutional Neural Networks.
Zhen Gao
Han Zhang
Xiaohui Wei
Tong Yan
Kangkang Guo
Wenshuo Li
Yu Wang
Pedro Reviriego
Published in:
DFT (2020)
Keyphrases
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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