<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best value for each performance measure is highlighted in bold. The value in the parenthesis is the standard deviation.).</p
<p>The sensitivity, specificity and accuracy of each of three classifiers (Linear SVM, RBF SVM, NN) ...
<p>Summary of Classifier Performance for Oversampling with Additional Features and Clinical Data Onl...
<p>The average metric values of different algorithms for MRI brain images(Mean value (95%CI)).</p
<p>(For MLPD, all the available data is used, but the classification results for the subjects in tas...
<p>(For this experiment, we used all the available data from 393 subjects in total. iMSFQ and iMSFL ...
<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...
Performance of different ML models in term of STDE in mmHg for DBP estimation with and without calib...
Performance of different ML models in term of STDE in mmHg for SBP estimation with and without calib...
<p>We vary from 10 to 30 (-axis) and report the accuracy obtained (-axis) with different classifica...
ML, machine learning; NLP, natural language processing, BLR, binary logistic regression; NBC, naïve ...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Performance comparison between PBMDA and WBSMDA in case studies of three important diseases in to...
<p>The top and bottom panels depict percent correct classification rates (accuracies) obtained from ...
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
<p>The sensitivity, specificity and accuracy of each of three classifiers (Linear SVM, RBF SVM, NN) ...
<p>Summary of Classifier Performance for Oversampling with Additional Features and Clinical Data Onl...
<p>The average metric values of different algorithms for MRI brain images(Mean value (95%CI)).</p
<p>(For MLPD, all the available data is used, but the classification results for the subjects in tas...
<p>(For this experiment, we used all the available data from 393 subjects in total. iMSFQ and iMSFL ...
<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...
Performance of different ML models in term of STDE in mmHg for DBP estimation with and without calib...
Performance of different ML models in term of STDE in mmHg for SBP estimation with and without calib...
<p>We vary from 10 to 30 (-axis) and report the accuracy obtained (-axis) with different classifica...
ML, machine learning; NLP, natural language processing, BLR, binary logistic regression; NBC, naïve ...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
<p>Performance comparison between PBMDA and WBSMDA in case studies of three important diseases in to...
<p>The top and bottom panels depict percent correct classification rates (accuracies) obtained from ...
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
<p>The sensitivity, specificity and accuracy of each of three classifiers (Linear SVM, RBF SVM, NN) ...
<p>Summary of Classifier Performance for Oversampling with Additional Features and Clinical Data Onl...
<p>The average metric values of different algorithms for MRI brain images(Mean value (95%CI)).</p
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