7 The f ocus of this paper is on explaining model interpretability, so the data preprocessing and f eature generation steps are skipped. All the input variables were taken as-is, except f or the variables Max Delq/Public Records Last 12 Months and Max Delinquency Ever, which were converted...
The above analysis revealed that there are differences between adolescents and adults in event segmentation; that is in the probability to set a segment boundary based on information presented in the movie. For the neurophysiological data analysis, we, therefore, focused the analysis on Boundary inter...
The above analysis revealed that there are differences between adolescents and adults in event segmentation; that is in the probability to set a segment boundary based on information presented in the movie. For the neurophysiological data analysis, we, therefore, focused the analysis on Boundary inter...
Functional image preprocessing included correction for slice-acquisition timing to the middle slice, realignment to the first volume of each run to correct for intrascan movement, and smoothing with a Gaussian kernel of 8 mm FWHM to compensate for small residual anatomic variations across subjects. ...
The data preprocessing procedure was similar for both sets, with the causal variables being the 𝐹𝐵𝑃𝑃FBPP measure and the number of generations for the GGA-CGT algorithm. On the other hand, for the MBS algorithm, the causal variables were the 𝐹𝐵𝑃𝑃FBPP measure and the ...