<p>ROC curves for the five related methods and the two considered variants. The Random Forests classifier on UCF101 dataset is used.</p
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
The ROC curves shown above identifies the ability of all ML models to classify pediatric patients wi...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>The ROC curve of random forest is shown by the solid line and PSOSVM by the dashed line. The clas...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the methods with different features for representing images and different classifiers....
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
ROC curves of the proposed method for UFC-crime, UFC101, Hockey and Movies datasets.</p
ROC curves of the methods with different images features and different classifiers: the proposed met...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
(a) training on D1 and (b) validation on D2 of radiomic features for Experiment 1. (c) training on D...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
The ROC curves shown above identifies the ability of all ML models to classify pediatric patients wi...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>The ROC curve of random forest is shown by the solid line and PSOSVM by the dashed line. The clas...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the methods with different features for representing images and different classifiers....
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
ROC curves of the proposed method for UFC-crime, UFC101, Hockey and Movies datasets.</p
ROC curves of the methods with different images features and different classifiers: the proposed met...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group EF using Random undersampling and One-SVM-US techniques on the datas...
(a) training on D1 and (b) validation on D2 of radiomic features for Experiment 1. (c) training on D...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
The ROC curves shown above identifies the ability of all ML models to classify pediatric patients wi...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
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