Estimation performance over the robust panels for cell-subtype and lineage groupings.</p
Performance comparison of CNN models with different region sizes and other baseline models.</p
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
Performance metrics of the final prediction model on the test set using the random forest method.</p
Tree represents an unsupervised clustering of cell-sorted sample data from only the CpGs found in th...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Performance comparison of a species-specific predictor using the test dataset.</p
<p>Performance comparison between whole cell and partial cell aspiration techniques.</p
For some classification tasks the data can be partitioned into disjoint subsets based on some attrib...
Performance of unweighted versus weighted gradient boosting model implementations by predictor stren...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Comparing performance of the proposed methods built with different number of individual models.</p
Evaluation of the robustness of the cell size control to the parameter values.</p
Performance of competing models of ancestral-area estimation according to BioGeoBEARS.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Performance comparison of CNN models with different region sizes and other baseline models.</p
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
Performance metrics of the final prediction model on the test set using the random forest method.</p
Tree represents an unsupervised clustering of cell-sorted sample data from only the CpGs found in th...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Performance comparison of a species-specific predictor using the test dataset.</p
<p>Performance comparison between whole cell and partial cell aspiration techniques.</p
For some classification tasks the data can be partitioned into disjoint subsets based on some attrib...
Performance of unweighted versus weighted gradient boosting model implementations by predictor stren...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Comparing performance of the proposed methods built with different number of individual models.</p
Evaluation of the robustness of the cell size control to the parameter values.</p
Performance of competing models of ancestral-area estimation according to BioGeoBEARS.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Performance comparison of CNN models with different region sizes and other baseline models.</p
<p>Performance comparison of resulted fusion measures with IQA models that were used in optimisation...
Performance metrics of the final prediction model on the test set using the random forest method.</p
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