Siamese Neural Networks for Small Dataset Classification of Electrograms.
Bram HuntEugene KwanDerek J. DosdallRob S. MacLeodRavi RanjanPublished in: CinC (2021)
Keyphrases
- neural network
- pattern recognition
- benchmark datasets
- classification accuracy
- uci datasets
- decision trees
- feature vectors
- classification process
- learning vector quantization
- pattern classification
- image classification
- back propagation
- classification scheme
- object classification
- support vector machine
- rule extraction
- support vector machine svm
- machine learning
- machine learning methods
- recurrent neural networks
- automatic classification
- training dataset
- genetic algorithm
- feature extraction
- fold cross validation
- multi layer perceptron
- feature space
- classification method
- database
- unsupervised learning
- text classification
- feature set