Performance evaluation of classifiers for detection of alcoholics using electroencephalograms (EEG)

Computer Science

• Performance Evaluation 100%
• Electroencephalogram 100%
• Support Vector Machine 100%
• back-propagation neural network 80%
• Neural Network 80%
• Spectral Entropy 40%
• Eigenvector 40%
• Classification Accuracy 40%
• Estimation Method 40%
• Feature Extraction 40%
• Power Spectral Density 40%
• Feature Selection 20%
• Object Recognition 20%
• Control Subject 20%
• Fold Cross Validation 20%
• Computational Complexity 20%
• Classification Models 20%
• Optimal Classifier 20%
• Healthy Control 20%
• Healthy Subject 20%
• Frequency Domain 20%
• Conventional Method 20%
• Band-Pass Filter 20%
• Cross-Validation 20%
• Autoregressive Process 20%

INIS

• performance 100%
• evaluation 100%
• detection 100%
• neural networks 100%
• vectors 62%
• probabilistic estimation 50%
• control 37%
• classification 37%
• validation 25%
• power 25%
• accuracy 25%
• entropy 25%
• signals 25%
• spectral density 25%
• eigenvectors 25%
• extraction 12%
• tuning 12%
• eyes 12%
• filters 12%