Fig. 3.

AUC comparision of DICE model with four different methods (MILC Mahmood et al. (2020), STDIM Mahmood et al. (2019), logistic regression (LR), support vector machine (SVM)), over four different datasets using ICA time-courses (Ref to Section 2.1.1). Our method significantly outperforms SOTA methods. We performed Autism experiments with 869 subjects (all TRs) as well. As we do not have a pre-training step we compare with not-pre-trained (NPT) version of MILC and STDIM. Input to ML methods were the same ICA time-courses, not the FNC matrices. We did not find any notable studies for gender classification of HCP subjects using ICA components as notable methods used ROIs based data. We compare the results using ROIs in Table 2.