Our results indicate that adequate high-pass filtering may be more important than the choice of the ICA method: all three ICA methods achieved a better ERD peak score when the data had been high-pass-filtered at the cutoff frequency just below the frequency band of interest before decomposition.
The proposed TSCC-based method achieved a better subjective quality than the WB audio signals on the whole.
Our method achieved a better precision rate and lower recall rate than FD-ISFA, and the results show that PF-ISFA achieved robust SAD performance under reverberant condition.
Thus, our method achieved a better result compared with previous reports of analogous works [ 31, 32].
Although this method achieved a better AUC value of 86.17%, it was not applicable to diseases which have no known related miRNAs.
Moreover, they combined the AAP scale and five amino acid propensity (AP) scales using the SVM classifier to improve the prediction accuracy, and the combination method achieved a better prediction accuracy of 72.54%.
Compared with other available mimotope-based methods, MimoPro achieved a better performance in sensitivity and precision; however, the specificity is lower than other methods.
Compared to other methods, edgeR achieved a better balance between speed and accuracy.
The KM method achieves a better precision than the Combo method.
The objective and subjective evaluations show that the proposed method achieves a better performance than linear extrapolation (LE) method [8] and is comparable to the EHBE method [10].
