Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning.
Francisco H. S. SilvaAldísio Gonçalves MedeirosElene F. OhataPedro Pedrosa Rebouças FilhoPublished in: CBMS (2020)
Keyphrases
- transfer learning
- eeg signals
- computer vision
- machine learning
- text classification
- pattern recognition
- learning tasks
- cross domain learning
- cross domain
- signal processing
- machine learning algorithms
- cross domain text classification
- knowledge transfer
- labeled data
- eeg data
- structure learning
- collaborative filtering
- support vector machine
- decision trees
- transfer knowledge
- semi supervised learning
- active learning
- label information
- reinforcement learning
- multi task learning
- object recognition
- manifold alignment
- support vector
- domain adaptation
- transferring knowledge
- feature extraction
- feature selection
- learning algorithm
- image segmentation
- text mining
- multi task
- model selection