Biclustering of the 16 classifiers and 14 datasets according to Balanced Accuracy.</p
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>The classification accuracy for the various imputation approaches, averaged over all the class de...
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
Balanced accuracy of the classifier for each test round with random classifier.</p
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
When a classifier A outperforms a classifier B according to the Balanced Accuracy.</p
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
a<p>Biclusters are considered enriched if any GO term was enriched with a P-value better than 0.05 a...
The accuracies of the two-class classifications at the four CNR levels for the six classifiers.</p
The testing accuracies and execution time for six classifiers on different-scale datasets with noise...
Biclustering is a technique used to simultaneously cluster both the rows and columns of a data matri...
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>The classification accuracy for the various imputation approaches, averaged over all the class de...
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
Balanced accuracy of the classifier for each test round with random classifier.</p
BCI competition IV dataset 1 classification accuracy (%) with different classifiers.</p
BCI competition III dataset 4a classification accuracy (%) with different classifiers.</p
When a classifier A outperforms a classifier B according to the Balanced Accuracy.</p
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
a<p>Biclusters are considered enriched if any GO term was enriched with a P-value better than 0.05 a...
The accuracies of the two-class classifications at the four CNR levels for the six classifiers.</p
The testing accuracies and execution time for six classifiers on different-scale datasets with noise...
Biclustering is a technique used to simultaneously cluster both the rows and columns of a data matri...
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
<p>The classification accuracy for the various imputation approaches, averaged over all the class de...
<p>The balanced accuracies were calculated by 10-fold cross-validation. Values represent the mean ± ...
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