Publication date
July 2014
DOIAbstract
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 features after PCA (the red dotted line).</p
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 features after PCA (the red dotted line).</p
<p>ROC curves of hybrid models AAC+DPC, N5C5Bin, Physico and AAC+DPC+Physico+N5C5Bin developed by SV...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>The classifier is SVM. (A) ROC curves obtained on IRMA category 14. (B) ROC curves obtained on IR...
<p>Numbers around the curve are the correct classification rates (%) corresponding to different sens...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
ROC curves of the methods with different features for representing images and different classifiers....
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
<p>Four ROC curves obtained by our sparse representation-based SPL algorithm (black curve with stars...
<p>ROC curves of hybrid models AAC+DPC, N5C5Bin, Physico and AAC+DPC+Physico+N5C5Bin developed by SV...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>The classifier is SVM. (A) ROC curves obtained on IRMA category 14. (B) ROC curves obtained on IR...
<p>Numbers around the curve are the correct classification rates (%) corresponding to different sens...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
ROC curves of the methods with different features for representing images and different classifiers....
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
<p>Four ROC curves obtained by our sparse representation-based SPL algorithm (black curve with stars...
<p>ROC curves of hybrid models AAC+DPC, N5C5Bin, Physico and AAC+DPC+Physico+N5C5Bin developed by SV...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
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