<p>Ntrain: number of blocks in the training set.</p><p>Ntest: number of blocks in the testing set.</p><p>Nc: number of correct classification of blocks.</p><p>Classification results of block pattern classification of LBP+KNN and LBP+BPNN.</p
<p>Evaluation results for different combinations of binarization and learning methods on the four ne...
<p>Different combinations of three types of nsSNPs are used for each of the three classification pro...
<p>(a) The network, (b) after calculating similarities, (c) after classifying edges.</p
<p>Classification results based on block segmentation with KNN classifier, LBP feature and Weighted ...
<p>Classification results based on cell segmentation with KNN classifier, LBP feature and Majority R...
Test results of each trained network on the four categories of TNDSR1, TNDDR0, TNPLR0, TNNPE0.</p
<p>Classification of participants from sample 1 based on the BTQ (43 blocks) and the BTQ-SF (13 bloc...
<p>The result of the binary classification for the networks with chain architecture.</p
The nearest neighbor (NN) classifiers, especially the k-NN algorithm, are among the simplest and yet...
<p>The result of the ternary classification for the networks with chain architecture.</p
<p>Classification comparison using network features and volumetric features with different numbers o...
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
<p>The classification results of PSOBP and BP neural network in one 10-fold cross-validation experim...
Number of pattern elements of each type in the training/validation and test set for dataset1.</p
<p>Evaluation results for different combinations of binarization and learning methods on the four ne...
<p>Different combinations of three types of nsSNPs are used for each of the three classification pro...
<p>(a) The network, (b) after calculating similarities, (c) after classifying edges.</p
<p>Classification results based on block segmentation with KNN classifier, LBP feature and Weighted ...
<p>Classification results based on cell segmentation with KNN classifier, LBP feature and Majority R...
Test results of each trained network on the four categories of TNDSR1, TNDDR0, TNPLR0, TNNPE0.</p
<p>Classification of participants from sample 1 based on the BTQ (43 blocks) and the BTQ-SF (13 bloc...
<p>The result of the binary classification for the networks with chain architecture.</p
The nearest neighbor (NN) classifiers, especially the k-NN algorithm, are among the simplest and yet...
<p>The result of the ternary classification for the networks with chain architecture.</p
<p>Classification comparison using network features and volumetric features with different numbers o...
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
<p>The classification results of PSOBP and BP neural network in one 10-fold cross-validation experim...
Number of pattern elements of each type in the training/validation and test set for dataset1.</p
<p>Evaluation results for different combinations of binarization and learning methods on the four ne...
<p>Different combinations of three types of nsSNPs are used for each of the three classification pro...
<p>(a) The network, (b) after calculating similarities, (c) after classifying edges.</p
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