<p>Comparison between the accuracy rates achieved with the proposed intensity normalization methodologies based on VAF approach and linear SVM classifier.</p
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Comparison between the accuracy rates achieved with the proposed intensity normalization methodol...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
<p>Reported is the mean of clustering accuracies from 100 runs of Basic NMF together with the standa...
<p>The sensitivity, specificity and accuracy of each of three classifiers (Linear SVM, RBF SVM, NN) ...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
Classification is one of the most important tasks for different application such as text categorizat...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using poly...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Binary SVM and AdaBoost classifier performance for average-ERP data using identical input feature...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Comparison between the accuracy rates achieved with the proposed intensity normalization methodol...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
<p>Reported is the mean of clustering accuracies from 100 runs of Basic NMF together with the standa...
<p>The sensitivity, specificity and accuracy of each of three classifiers (Linear SVM, RBF SVM, NN) ...
<p>Comparison of the testing accuracy of ELM, SVM-Linear and SVM-RBF in ADHD classification based on...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
Classification is one of the most important tasks for different application such as text categorizat...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using poly...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Binary SVM and AdaBoost classifier performance for average-ERP data using identical input feature...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
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