<p>Sensitivity and specificity are obtained from three coupled Henon maps with data length from 256 to 1024 and coupling strength (marked in the figure) from 0.1 to 0.5. The first row shows results from the methods applying binning estimator and second row for NN estimator. Column 1 to 3 is with data length from 256 to 1024. Each simulation was performed by 100 runs.</p
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>(A) ROC curves for Multifind, Multifind trained without ensemble defect Z score, RNAz, LocaRNATE+...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<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 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>TE-b/LA1-b/LA2-b are the results by binning entropy estimator and TE-n/LA1-n/LA2-n by NN entropy ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>Sensitivity, specificity and F1 score values obtained from Model F by binning(-b) and NN(-n) esti...
<p>ROC curve of the Pareto frontier for sensitivity/specificity pairs obtained by application of 18 ...
<p>ROC curves of the Pareto frontier for sensitivity/specificity pairs obtained by application of 18...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>(A) ROC curves for Multifind, Multifind trained without ensemble defect Z score, RNAz, LocaRNATE+...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<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 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>TE-b/LA1-b/LA2-b are the results by binning entropy estimator and TE-n/LA1-n/LA2-n by NN entropy ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>Sensitivity, specificity and F1 score values obtained from Model F by binning(-b) and NN(-n) esti...
<p>ROC curve of the Pareto frontier for sensitivity/specificity pairs obtained by application of 18 ...
<p>ROC curves of the Pareto frontier for sensitivity/specificity pairs obtained by application of 18...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>(A) ROC curves for Multifind, Multifind trained without ensemble defect Z score, RNAz, LocaRNATE+...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...