The misclassification rate is zero for A0 vs. [A1, A2, A3, A4] and A1 vs. [A3, A4], which is not presented.</p
<p>A. The histogram shows the score distribution of the instances in the positive bags and the negat...
Performance of an SVM classifier based on LSTM features, compared to the best baseline classifier us...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Box plot of the five-class (A0-4) classification accuracy using different combinations of feature ex...
<p>The figure shows the error rate of SVM vs. top ranked discriminant time-frequency features. Simil...
<p>For both 2-class and 4-class classification, classifier performs better when trained with feature...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
(a) RF, (b) GBM, (c) AdaBoost, (d) LR, (e) SVC, (f) SVEC-H, (g) SVEC-S, (h) CNN, (i) LSTM, (j) CNN-L...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
We included PCA, ISOMAP, LLE, Laplacian Eigenmaps, and t-SNE. The LDA dimensionality-reduction techn...
<p>The table shows the median classifier performance (AUC) of the classification problems considerin...
<p>The classification precision and recall values are shown for each class in all the tables. The ce...
<p>MPH-20: The classification accuracy values of the five feature selection methods when using the S...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
<p>A. The histogram shows the score distribution of the instances in the positive bags and the negat...
Performance of an SVM classifier based on LSTM features, compared to the best baseline classifier us...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Box plot of the five-class (A0-4) classification accuracy using different combinations of feature ex...
<p>The figure shows the error rate of SVM vs. top ranked discriminant time-frequency features. Simil...
<p>For both 2-class and 4-class classification, classifier performs better when trained with feature...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
(a) RF, (b) GBM, (c) AdaBoost, (d) LR, (e) SVC, (f) SVEC-H, (g) SVEC-S, (h) CNN, (i) LSTM, (j) CNN-L...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
We included PCA, ISOMAP, LLE, Laplacian Eigenmaps, and t-SNE. The LDA dimensionality-reduction techn...
<p>The table shows the median classifier performance (AUC) of the classification problems considerin...
<p>The classification precision and recall values are shown for each class in all the tables. The ce...
<p>MPH-20: The classification accuracy values of the five feature selection methods when using the S...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
<p>A. The histogram shows the score distribution of the instances in the positive bags and the negat...
Performance of an SVM classifier based on LSTM features, compared to the best baseline classifier us...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
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