<p>UNN: untransformed neural network; TNN: transformed neural network; NNC: neural network cascade. Tr and Te represent correlation coefficients between the output variable and miRNA score of training set and testing set in each ANN unit, respectively.</p
his paper looks at the selection of some of the design parameters which are crucially important for ...
<p>Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...
a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical ...
<p>Comparisons of miRNA scores were performed between patients with different survival statuses in t...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p><i>ROC</i> and <i>AUC</i> using different neural network models of the Enron networks.</p
Comparison of convolutional neural network model pose predictions on different datasets: Convolution...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
Here we list the model-behavior correlations (Spearman rho) of each neural network model. In additio...
his paper looks at the selection of some of the design parameters which are crucially important for ...
<p>Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...
a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical ...
<p>Comparisons of miRNA scores were performed between patients with different survival statuses in t...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p><i>ROC</i> and <i>AUC</i> using different neural network models of the Enron networks.</p
Comparison of convolutional neural network model pose predictions on different datasets: Convolution...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to de...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
Here we list the model-behavior correlations (Spearman rho) of each neural network model. In additio...
his paper looks at the selection of some of the design parameters which are crucially important for ...
<p>Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...
a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical ...
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