GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.
Yujun YanJiong ZhuMarlena DudaEric SolarzChandra Sekhar SripadaDanai KoutraPublished in: KDD (2019)
Keyphrases
- neural network
- raw data
- data analysis
- data sets
- synthetic data
- image data
- data mining techniques
- incomplete data
- database
- noisy data
- data collection
- genetic algorithm
- training data
- pattern recognition
- training samples
- data quality
- data structure
- classification method
- data sources
- text classification
- input data
- probability distribution
- classification accuracy
- image classification
- support vector
- missing data
- association rules
- classification rules
- feature set
- training set
- classification models