<p>(For MLPD, all the available data is used, but the classification results for the subjects in task 1 is reported. For SLPD, only use the subjects in task 1. The best value for each performance measure is highlighted in bold. The value in the parenthesis is the standard deviation.).</p
<p>The classification rate within each subject is mentioned for the three comparisons: Neutral to ce...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
<p>Comparison of average classification results of different classifiers without using light intensi...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
<p>Standard Deviations of classification results for external cross validation with MLP and their av...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>For each subject for a window from to ms the evaluated classification performance and statistic...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison results of classification performance among ELM, SVM, and BPNN.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>(For this experiment, we used all the available data from 393 subjects in total. iMSFQ and iMSFL ...
<p>The classification rate within each subject is mentioned for the three comparisons: Neutral to ce...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
<p>Comparison of average classification results of different classifiers without using light intensi...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
<p>Standard Deviations of classification results for external cross validation with MLP and their av...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>For each subject for a window from to ms the evaluated classification performance and statistic...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison results of classification performance among ELM, SVM, and BPNN.</p
Comparison of the classification performance by the proposed network and other methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>(For this experiment, we used all the available data from 393 subjects in total. iMSFQ and iMSFL ...
<p>The classification rate within each subject is mentioned for the three comparisons: Neutral to ce...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
<p>Comparison of average classification results of different classifiers without using light intensi...
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