<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (light blue), Sq.diff (yellow) for all the test set (public+private) given by the Kaggle contest.</p
<p>M1, M2, and M3 denote the proposed method, Toews' method, and the proposed method without the sec...
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The ROCs are generated at the SCOP Superfamily level (Level 3). Panel (a) shows the results with all...
<p>(A) The ROC space contains one basic ROC curve and points (black) as well as four alternative cur...
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
ROC curves of the methods with different features for representing images and different classifiers....
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<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...
ROC curves of the proposed method for UFC-crime, UFC101, Hockey and Movies datasets.</p
<p>M1, M2, and M3 denote the proposed method, Toews' method, and the proposed method without the sec...
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The ROCs are generated at the SCOP Superfamily level (Level 3). Panel (a) shows the results with all...
<p>(A) The ROC space contains one basic ROC curve and points (black) as well as four alternative cur...
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
ROC curves of the methods with different features for representing images and different classifiers....
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<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...
ROC curves of the proposed method for UFC-crime, UFC101, Hockey and Movies datasets.</p
<p>M1, M2, and M3 denote the proposed method, Toews' method, and the proposed method without the sec...
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
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