ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datasets: (a) EN, (b) GPCR, (c) IC, and (d) NR.</p
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 featur...
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
<p>Four ROC curves obtained by our sparse representation-based SPL algorithm (black curve with stars...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 featur...
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
<p>Four ROC curves obtained by our sparse representation-based SPL algorithm (black curve with stars...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>ROC curves of different encoding SVM models using a 10-fold cross-validation.</p
ROC curves for One-class classification using SVM, treating the 4000 random regions as negatives and...
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