Confusion matrix achieved from the classification of dairy cow behaviors by the Multi-BP-AdaBoost algorithm (the number of correctly classified samples is expressed in boldface).</p
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the classification results after automated correction.</p
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>The confusion matrix of multi-scale segmentation and supervised classification result.</p
<p>The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix of the classification results after automated correction.</p
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
Confusion matrix of cell classification task performed by the convolutional neural network using mod...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
<p>The subfigures correspond to the performance of the algorithm using different numbers of labeled ...
Confusion matrix showing the results of the testing phase for the LeNet neural network.</p
A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p