Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms

Keyphrases

• Machine Learning Techniques 100%
• Neuroimaging 100%
• Brain Activity 100%
• Neural Network 100%
• Genetic Algorithm 100%
• Cognitive State 100%
• Feature Selection 100%
• Cognitive Brain Function 100%
• Microsoft 50%
• Order of Accuracy 50%
• FMRI Analysis 50%
• Performance Level 50%
• Multiple Subjects 50%
• High-dimensional Distribution 50%
• One-class Support Vector Machine (OCSVM) 50%
• Class Method 50%
• Classwork 50%
• Class Recognition 50%
• Wrapper Approach 50%
• Class Identification 50%
• Two-class Classification 50%
• Savoy 50%

Computer Science

• Neural Network 100%
• Machine Learning Technique 100%
• Feature Selection 100%
• Brain Activity 100%
• Feature Extraction 100%
• Genetic Algorithm 100%
• Class Classification 50%
• Technical Report 50%
• Dimensional Distribution 50%
• One-Class SVM 50%

Engineering

• Machine Learning Technique 100%
• Genetic Algorithm 100%
• Feature Extraction 100%
• Brain Activity 100%
• Technical Report 50%
• Class Method 50%
• Dimensional Distribution 50%