Deep neural network based approach for ECG classification using hybrid differential features and active learning.
Kazim HanbayPublished in: IET Signal Process. (2019)
Keyphrases
- active learning
- neural network
- feature vectors
- classification accuracy
- feature extraction
- feature space
- pattern recognition
- feature set
- classification method
- classification models
- extracted features
- classification process
- svm classifier
- training set
- supervised learning
- class labels
- extracting features
- learning vector quantization
- benchmark datasets
- machine learning
- high dimensionality
- feature values
- support vector
- image classification
- training examples
- pattern classification
- feature representation
- decision trees
- batch mode active learning
- annotation effort
- feature reduction
- textural features
- learning algorithm
- ecg signals
- feature subset
- image features
- semi supervised
- multi layer perceptron
- feature selection
- discriminative features
- radial basis function
- artificial neural networks
- batch mode
- self organizing maps
- probabilistic neural network
- support vector machine
- data sets
- selective sampling
- model selection