<p>Summary of the labeling accuracy obtained for the training set, for all the discrimination problems at STE. They include the accuracy (total and by tumor type); the number of correctly labeled samples from the total, in parentheses; and BER of the classification. The highest total accuracy and the lowest BER for each classification problem are underlined.</p
<p>Statistics in percentage (%) of mean and standard deviation of 100 results of 100 repetitions of ...
<p>Word recognition accuracy and classification accuracy on 2 and 6 locations, for horizontal and ve...
An important topic in using maps derived from a statistical classifier is the accuracy assessment of...
<p>Summary of the labeling accuracy obtained for the test set, for all the discrimination problems a...
<p>Summary of the labeling accuracy obtained for the training set, for all the discrimination proble...
<p>Summary of the labeling accuracy obtained for the test set, for all the discrimination problems a...
<p>Summary of the labeling accuracy obtained for the training and test set when three sources were c...
<p>Summary of the labeling accuracy obtained for the training and test set when three sources were c...
<p>Left part: sensitivity, specificity, and generalization rate of the classification model; right p...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>Bagging results for support vector machine classification accuracy using 6 features and resamplin...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>T stands for the accuracy between the supervised tumor labels (as in <a href="http://www.plosone....
<p>Statistics in percentage (%) of mean and standard deviation of 100 results of 100 repetitions of ...
<p>Word recognition accuracy and classification accuracy on 2 and 6 locations, for horizontal and ve...
An important topic in using maps derived from a statistical classifier is the accuracy assessment of...
<p>Summary of the labeling accuracy obtained for the test set, for all the discrimination problems a...
<p>Summary of the labeling accuracy obtained for the training set, for all the discrimination proble...
<p>Summary of the labeling accuracy obtained for the test set, for all the discrimination problems a...
<p>Summary of the labeling accuracy obtained for the training and test set when three sources were c...
<p>Summary of the labeling accuracy obtained for the training and test set when three sources were c...
<p>Left part: sensitivity, specificity, and generalization rate of the classification model; right p...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>Bagging results for support vector machine classification accuracy using 6 features and resamplin...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>T stands for the accuracy between the supervised tumor labels (as in <a href="http://www.plosone....
<p>Statistics in percentage (%) of mean and standard deviation of 100 results of 100 repetitions of ...
<p>Word recognition accuracy and classification accuracy on 2 and 6 locations, for horizontal and ve...
An important topic in using maps derived from a statistical classifier is the accuracy assessment of...