Impulsivity Classification Using EEG Power and Explainable Machine Learning.
Philippa HüpenHimanshu KumarAliaksandra ShymanskayaRamakrishnan SwaminathanUte HabelPublished in: Int. J. Neural Syst. (2023)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- support vector machine
- decision trees
- machine learning algorithms
- text classification
- eeg signals
- classification accuracy
- supervised machine learning
- learning algorithm
- support vector machine svm
- feature selection
- supervised learning
- active learning
- classification algorithm
- data mining
- knowledge acquisition
- benchmark datasets
- automatic classification
- classification scheme
- motor imagery
- learning tasks
- classification rules
- supervised classification
- classification systems
- feature construction
- single trial
- model selection
- image classification
- computer vision
- feature extraction
- class labels
- support vector
- machine learning approaches
- sleep stage
- artificial intelligence
- physiological signals
- reinforcement learning
- rule learning
- data analysis
- preprocessing
- training set
- feature vectors
- statistical learning
- information extraction
- computational intelligence
- classification method