A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra.
Jan GrossHermann BaumgartlRicardo BuettnerPublished in: AMCIS (2020)
Keyphrases
- machine learning
- inductive learning
- internet users
- pattern recognition
- signal processing
- obstructive sleep apnea
- explanation based learning
- brain computer interface
- text mining
- supervised learning
- natural language processing
- data mining
- computer vision
- feature selection
- learning systems
- text classification
- computer science
- knowledge acquisition
- model selection
- fault diagnosis
- feature extraction
- medical diagnosis
- decision trees
- machine learning approaches
- computational intelligence
- frequency band
- high reliability
- spectral features
- active learning