ROC curves of the proposed method for UFC-crime, UFC101, Hockey and Movies datasets.</p
ROC curves of RethinkNet and Att-RethinkNet on liver data (a) and kidney data (b).</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (l...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves of the methods with different features for representing images and different classifiers....
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>(A) Results when validating against the neutral control set. (B) Results when validating against ...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>These curves are the average curves from the aformentioned 30 repetitions of the algorithm.</p
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p
ROC curves of RethinkNet and Att-RethinkNet on liver data (a) and kidney data (b).</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (l...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves of the methods with different features for representing images and different classifiers....
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>(A) Results when validating against the neutral control set. (B) Results when validating against ...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>These curves are the average curves from the aformentioned 30 repetitions of the algorithm.</p
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p
ROC curves of RethinkNet and Att-RethinkNet on liver data (a) and kidney data (b).</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (l...
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