<p>The top panel depicts the results for all papers, the results in the middle panel are stratified by research field (bioinformatics: BI, computational statistics: CS and machine learning: ML), and the bottom panel differentiates between “comparison” and “new method” papers. (A), (D) and (G) show the number of data sets, (B), (E) and (H) the number of methods, (C), (F) and (I) the number of accuracy measurements.</p
<p>Number of samples used for model development and accuracy assessment, for each biota class.</p
Frequently, a set of objects has to be evaluated by a panel of assessors, but not every object is as...
<p>(a) the accuracy comparison of the different methods using the first manually segmented results o...
<p>The top panel shows the global results for all papers relevant to the respective question (either...
<p>The top panel shows the global results for all papers relevant to the respective question (either...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
<p>Average classification accuracy for the different methods; error bars show Confidence Interval. T...
<p>Upper panels – Mouse, Lower panels- Human. Each column presents a different clustering measure (s...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Top: Results of several metrics with all paradigms averaged, for the different number of trials u...
Results are based on All pixels and all input features (left panel), All pixels and the top 10 input...
The rank items listed under the table include the information of metrics, datasets, cancer, whether ...
<p>Panel A shows a boxplot of the percentage of total reads reclassified as different genera for all...
Relative errors are calculated for all experiments and expressed as percentages. A value of 100 mean...
<p>Number of samples used for model development and accuracy assessment, for each biota class.</p
Frequently, a set of objects has to be evaluated by a panel of assessors, but not every object is as...
<p>(a) the accuracy comparison of the different methods using the first manually segmented results o...
<p>The top panel shows the global results for all papers relevant to the respective question (either...
<p>The top panel shows the global results for all papers relevant to the respective question (either...
BCI competition III dataset 4a classification accuracy (%) of dataset 2 with proposed method compare...
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
<p>Average classification accuracy for the different methods; error bars show Confidence Interval. T...
<p>Upper panels – Mouse, Lower panels- Human. Each column presents a different clustering measure (s...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Top: Results of several metrics with all paradigms averaged, for the different number of trials u...
Results are based on All pixels and all input features (left panel), All pixels and the top 10 input...
The rank items listed under the table include the information of metrics, datasets, cancer, whether ...
<p>Panel A shows a boxplot of the percentage of total reads reclassified as different genera for all...
Relative errors are calculated for all experiments and expressed as percentages. A value of 100 mean...
<p>Number of samples used for model development and accuracy assessment, for each biota class.</p
Frequently, a set of objects has to be evaluated by a panel of assessors, but not every object is as...
<p>(a) the accuracy comparison of the different methods using the first manually segmented results o...