<p>Histograms for performance criteria: best and average CARMSD to native and best percentage of models generated at less than Å away from the native structure.</p
<p>Classification performances [evaluated as accuracy, precision, recall, <i>F</i><sub>1</sub>, area...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
The threshold values, AUC, sensitivity, specificity and accuracy of the histogram parameters (10 mm ...
<p>Histograms and percentile distributions when determining interactive models from the LOAD dataset...
<p>Histogram of the average CC matrix of all datasets. The majority of CC values are below 0.2 with ...
<p>Performance of linear and non linear model classifiers at best cutoff points.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Comparative model performance: Low complexity choices, base rate of comparison: 50%.</p
<p>Histograms of kinematic parameters of NTF (Non-Targeted Fast, left column) and NTE (Non-Targeted ...
<p>(A) adjusted-R<sup>2</sup> map and corresponding histogram. (B) Akaike Information Criteria (AIC)...
<p>Scatter plots of normalised model performance for the pedigree (blue points) and niche (red point...
<p>Bold lines are the model output post optimisation, grey lines are the unoptimised model output, w...
Performance of different ML models in term of STDE in mmHg for DBP estimation with and without calib...
The performance of the proposed model at two extreme thresholds with different sparsity.</p
<p>Histograms of the expected frequency of each linkage vector category under the null model of inde...
<p>Classification performances [evaluated as accuracy, precision, recall, <i>F</i><sub>1</sub>, area...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
The threshold values, AUC, sensitivity, specificity and accuracy of the histogram parameters (10 mm ...
<p>Histograms and percentile distributions when determining interactive models from the LOAD dataset...
<p>Histogram of the average CC matrix of all datasets. The majority of CC values are below 0.2 with ...
<p>Performance of linear and non linear model classifiers at best cutoff points.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Comparative model performance: Low complexity choices, base rate of comparison: 50%.</p
<p>Histograms of kinematic parameters of NTF (Non-Targeted Fast, left column) and NTE (Non-Targeted ...
<p>(A) adjusted-R<sup>2</sup> map and corresponding histogram. (B) Akaike Information Criteria (AIC)...
<p>Scatter plots of normalised model performance for the pedigree (blue points) and niche (red point...
<p>Bold lines are the model output post optimisation, grey lines are the unoptimised model output, w...
Performance of different ML models in term of STDE in mmHg for DBP estimation with and without calib...
The performance of the proposed model at two extreme thresholds with different sparsity.</p
<p>Histograms of the expected frequency of each linkage vector category under the null model of inde...
<p>Classification performances [evaluated as accuracy, precision, recall, <i>F</i><sub>1</sub>, area...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
The threshold values, AUC, sensitivity, specificity and accuracy of the histogram parameters (10 mm ...