Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification.
Mustapha Oloko-ObaSerestina ViririPublished in: ICCCI (2021)
Keyphrases
- neural network
- pattern recognition
- feature selection
- image processing
- support vector
- training set
- classification accuracy
- machine learning
- majority voting
- multi layer perceptron
- image classification
- classification algorithm
- classification systems
- back propagation
- learning vector quantization
- classification method
- classification models
- cost sensitive
- classification scheme
- multilayer perceptron
- imbalanced data
- rule extraction
- benchmark datasets
- neural network model
- cross validation
- fuzzy decision trees
- statistical classification
- support vector machine
- feature extraction
- genetic algorithm
- concept drifting data streams
- decision tree classifiers
- classifier combination
- neural network ensemble
- weak learners
- binary classification problems
- ensemble classifier
- training process
- machine learning methods
- text classification
- feature set
- supervised learning
- knn
- feature vectors