Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers.
Nathan Koome MurungiMichael Vinh PhamXufeng DaiXiaodong QuPublished in: HCI (48) (2023)
Keyphrases
- machine learning
- computer science
- eeg signals
- brain computer interface
- healthy subjects
- eeg data
- data mining
- brain activity
- frequency band
- graduate students
- event related potentials
- evoked potentials
- machine learning methods
- machine learning algorithms
- decision trees
- pattern recognition
- text mining
- brain signals
- researchers and practitioners
- computational linguistics
- undergraduate students
- motor imagery
- signal processing
- artificial intelligence
- epileptic seizures
- computer science students
- active learning
- computer vision
- postgraduate students
- feature selection
- information extraction
- machine learning approaches
- independent component analysis
- learning systems
- natural language processing
- explanation based learning
- researchers and graduate students
- learning algorithm
- trend detection
- engineering students
- support vector machine
- text classification
- computational intelligence
- supervised learning