<p>The metrics are calculated after combining the responses of all the experts using EM and then assuming the results to be correct. , , , , where , and correspond to the number of true positive, true negative, false positive, and false negative labels respectively.</p
Abstract. Performance metrics are used in various stages of the process aimed at solving a classific...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
(a) Overall performance metrics (Precision, Recall, F(0.5) score and MCC) depending on the probabili...
<p>Typical performance metrics table that reports the number of True Negatives, False Positives, Fal...
Performance metrics (cumulative false negative and true positive distributions and recall values) of...
<p>This indicates the extent that each metric can be used to predict performance.</p
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>The experimental groups with a minus sign are expected to perform worse than the groups with a pl...
(A) H measure at different severity ratios. Severity ratio is the ratio of the cost of false positiv...
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
<p>The performances of the different classification algorithms as a function of the number of trials...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
Abstract. Performance metrics are used in various stages of the process aimed at solving a classific...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
(a) Overall performance metrics (Precision, Recall, F(0.5) score and MCC) depending on the probabili...
<p>Typical performance metrics table that reports the number of True Negatives, False Positives, Fal...
Performance metrics (cumulative false negative and true positive distributions and recall values) of...
<p>This indicates the extent that each metric can be used to predict performance.</p
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>The experimental groups with a minus sign are expected to perform worse than the groups with a pl...
(A) H measure at different severity ratios. Severity ratio is the ratio of the cost of false positiv...
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
<p>The performances of the different classification algorithms as a function of the number of trials...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
Abstract. Performance metrics are used in various stages of the process aimed at solving a classific...
<p> and denote the two human experts. denotes the presented method. denotes the average measureme...
(a) Overall performance metrics (Precision, Recall, F(0.5) score and MCC) depending on the probabili...