CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems.
Sungho SuhHaebom LeePaul LukowiczYong Oh LeePublished in: Neural Networks (2021)
Keyphrases
- data sets
- data collection
- raw data
- data sources
- network structure
- high dimensional data
- training data
- data mining techniques
- classification accuracy
- data points
- application domains
- image data
- knowledge discovery
- machine learning
- support vector
- multi agent
- social networks
- unsupervised learning
- original data
- learning algorithm
- spatial data
- image processing
- training examples
- training samples
- xml documents
- generative model
- decision trees
- pattern recognition
- database
- probability distribution