SCVCNet

#SCVCNet: https://doi.org/10.48550/arXiv.2310.03749
#feature: feature of eeg data
#feature_extract: procedure of feature extract
#filter: eeg raw data with filter for fbmsnet
#model: model of all method
#preprocess: procedure of preprocess
#result&param: experiment results with hyper-parameters
#get_data_data: extract eeg raw data for tsseffnet, eegnet and eeg conformer
#get_data_data_filter: extract eeg raw data with filter for fbmsnet
#get_data_feat: extract feature of eeg for svm, elm, scvc and R1
#get_data_feat_norm: extract feature of eeg with normalization for drnanet and R2
#main_conformer: cross-task experiments with eeg conformer
#main_drnanet: cross-task experiments with drnanet
#main_eegnet: cross-task experiments with eegnet
#main_elm: cross-task experiments with elm
#main_fbmsnet: cross-task experiments with fbmsnet
#main_R1: cross-task experiments with R1 on ablation study
#main_R2: cross-task experiments with R2 on ablation study
#main_scvcnet: cross-task experiments with scvcnet
#main_svm: cross-task experiments with svm
#main_tsseffnet: cross-task experiments with tsseffnet