Pages that link to "Item:Q1932111"

The following pages link to Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals (Q1932111):

Displaying 12 items.

• 1D-local binary pattern based feature extraction for classification of epileptic EEG signals (Q279886) (← links)
• Classifying hypnotizable groups using EEG weighted regional frequency (Q711372) (← links)
• Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns (Q1049842) (← links)
• Development of filtered bispectrum for EEG signal feature extraction in automatic emotion recognition using artificial neural networks (Q1662736) (← links)
• Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals (Q1932111) (← links)
• Ordering of transformed recorded electroencephalography (EEG) signals by a novel precede operator (Q2036088) (← links)
• Personal identification based on brain networks of EEG signals (Q2316474) (← links)
• The random electrode selection ensemble for EEG signal classification (Q2476577) (← links)
• Determining the effect of emotional images brightness on EEG signals by classification algorithms (Q2675477) (← links)
• Deep Gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer’s diseases (Q5042087) (← links)
• Mental task classification based on adaptive autoregressive model and support vector machine (Q5475223) (← links)
• Advances in Neural Networks – ISNN 2005 (Q5707398) (← links)