<p> denotes the set of all possible (directed) edges among nodes in the network. FN = false negative. FP = false positive. TP = true positive. TN = true negative. = non-inferable edges.</p
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
<p>Representative result of confusion matrix between true labels and predicted labels by DCNN withou...
The top-left represents the TN, the top-right represents FP, the bottom-left is FN and the bottom-ri...
<p>TP = true positive; FP = false positive; FN = false negative; TN = true negative.</p
<p>TP: true positives, FP: false positives, FN: false negatives, TN: ...
<p><i>TP</i> is the number of correct predictions that an instance is positive (<i>true positive</i>...
<p>Venn diagram showing false-positives (red) and false-negatives (green) regarding failure predicti...
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
<p>Venn diagrams comparing the distribution of positive and negative results by each diagnostic meth...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
<p>(A) The left oval shows two actual labels: positives (P; blue; top half) and negatives (N; red; b...
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
<p>Within each region of the diagram, the number of correctly inferred edges (over the bar) and the ...
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
<p>Representative result of confusion matrix between true labels and predicted labels by DCNN withou...
The top-left represents the TN, the top-right represents FP, the bottom-left is FN and the bottom-ri...
<p>TP = true positive; FP = false positive; FN = false negative; TN = true negative.</p
<p>TP: true positives, FP: false positives, FN: false negatives, TN: ...
<p><i>TP</i> is the number of correct predictions that an instance is positive (<i>true positive</i>...
<p>Venn diagram showing false-positives (red) and false-negatives (green) regarding failure predicti...
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
<p>Venn diagrams comparing the distribution of positive and negative results by each diagnostic meth...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
<p>(A) The left oval shows two actual labels: positives (P; blue; top half) and negatives (N; red; b...
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
<p>Within each region of the diagram, the number of correctly inferred edges (over the bar) and the ...
Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p
<p>Representative result of confusion matrix between true labels and predicted labels by DCNN withou...
The top-left represents the TN, the top-right represents FP, the bottom-left is FN and the bottom-ri...
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