A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
The Pirate's method returns also the discrepancy directory.
When calling the method in Smulti_Rmulti_imagined now we have to define a variable also for this directory. I added one
ambitious-octopus
commented
4 years ago
The Pirate's method returns also the discrepancy directory. When calling the method in Smulti_Rmulti_imagined now we have to define a variable also for this directory. I added one