Investigating the Optimal Parameterization of Deep Neural Network and Synthetic Data Workflow for Imbalance Liver Disorder Dataset Classification.
Nova Eka DianaAndi Batari AhmadZwasta Pribadi MahardikaPublished in: SCDM (2020)
Keyphrases
- synthetic data
- neural network
- binary decision tree
- synthetic datasets
- learning vector quantization
- benchmark datasets
- pattern recognition
- real image data
- real world
- class imbalance
- dynamic programming
- classification accuracy
- data sets
- feature set
- machine learning
- genetic algorithm
- artificial neural networks
- decision trees
- classification method
- image classification
- support vector
- mri data
- feature space
- uci datasets
- business process
- pattern classification
- multi layer perceptron
- training dataset
- nearest neighbour
- probabilistic neural network
- database
- classification models
- cost sensitive
- feature subset
- ct images
- classification algorithm
- self organizing maps
- petri net
- back propagation
- unsupervised learning
- text classification