<p>TE-b/LA1-b/LA2-b are the results by binning entropy estimator and TE-n/LA1-n/LA2-n by NN entropy estimator, sensitivity and specificity are obtained by gradually increasing the time series length from 256 to 1024 points.</p
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Sensitivity and specificity are obtained by gradually increasing the time series length from 256 ...
<p>Sensitivity and specificity are obtained by gradually increasing the time series length from 256 ...
<p>Sensitivity and specificity are obtained for models with a varying noise from 0.01 to 0.04 (marke...
<p>Sensitivity and specificity are obtained from three coupled Henon maps with data length from 256 ...
<p>The curves are obtained reporting the results obtained gradually increasing the time series lengt...
<p>(A) Linear regression curve estimation between the mean whole brain sample entropy and mean whole...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>Time-dependent ROC curves depicting the accuracy of the final CEA value (left) and any rise above...
<p>ROC curves for both linear and non linear models (see <a href="http://www.plosone.org/article/inf...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Sensitivity and specificity are obtained by gradually increasing the time series length from 256 ...
<p>Sensitivity and specificity are obtained by gradually increasing the time series length from 256 ...
<p>Sensitivity and specificity are obtained for models with a varying noise from 0.01 to 0.04 (marke...
<p>Sensitivity and specificity are obtained from three coupled Henon maps with data length from 256 ...
<p>The curves are obtained reporting the results obtained gradually increasing the time series lengt...
<p>(A) Linear regression curve estimation between the mean whole brain sample entropy and mean whole...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
<p>ROC-curve for the Whiteley Index and sensitivity/specificity as a function of probability cut-off...
<p>Time-dependent ROC curves depicting the accuracy of the final CEA value (left) and any rise above...
<p>ROC curves for both linear and non linear models (see <a href="http://www.plosone.org/article/inf...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
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