<p>ED: Experimental Dataset; SA: Surface Area; V: Volume; FI: Folding Index; L: Left; R: Right.</p
This paper explores the changes in EEG when subjects performed a modified Test of Variables of Atten...
Karakaş, Sirel (Dogus Author) -- Doğutepe, Elvin (Dogus Author)Objective: Attention-deficit/hyperact...
The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classificati...
<p>The results are calculated using different experimental dataset sizes (from 10 to 110). (A) Train...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
Effective and accurate diagnosis of attention-deficit/hyperactivity disorder (ADHD) is currently of ...
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the ma...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
Attention-deficit/hyperactivity disorder (ADHD) is a common disabling psychiatric disorder associate...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
<p>The black horizontal dotted line shows the baseline chance accuracy of the test set. Each vertica...
Introduction: The aim of this study was to assess of both implicit and explicit motor sequence learn...
<p>Comparison results of classification performance among ELM, SVM, and BPNN.</p
This paper explores the changes in EEG when subjects performed a modified Test of Variables of Atten...
Karakaş, Sirel (Dogus Author) -- Doğutepe, Elvin (Dogus Author)Objective: Attention-deficit/hyperact...
The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classificati...
<p>The results are calculated using different experimental dataset sizes (from 10 to 110). (A) Train...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
Effective and accurate diagnosis of attention-deficit/hyperactivity disorder (ADHD) is currently of ...
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the ma...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
Attention-deficit/hyperactivity disorder (ADHD) is a common disabling psychiatric disorder associate...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by clinicians via...
<p>The black horizontal dotted line shows the baseline chance accuracy of the test set. Each vertica...
Introduction: The aim of this study was to assess of both implicit and explicit motor sequence learn...
<p>Comparison results of classification performance among ELM, SVM, and BPNN.</p
This paper explores the changes in EEG when subjects performed a modified Test of Variables of Atten...
Karakaş, Sirel (Dogus Author) -- Doğutepe, Elvin (Dogus Author)Objective: Attention-deficit/hyperact...
The effects of multivariate feature optimization methods (LASSO and SVM-RFE) on the ELM classificati...
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