Eduardo Gutierrez Maestro

> Hi, I saw that the model DGCNN was already implemented in the torchegg library with the SEED dataset: > > ``` > dataset = SEEDDataset(io_path=f'./seed', > root_path='./Preprocessed_EEG', > offline_transform=transforms.BandDifferentialEntropy(band_dict={...

> I also train DGCNN in SEEDDataset for 50 epochs. During training, the accuracy rate in the validation set was very high, reaching 94.9%, but the accuracy rate in the...

> font{ line-height: 1.6; } ul,ol{ padding-left: 20px; list-style-position: inside; } Actually I didn't get a good result, it just show good accuracy in training, but in test period, the...

Is there any support for SEED dataset? I am using this simple code and I have an error: ``` dataset = SEEDDataset(io_path=f'./SEED_preprocc/DE_feat', root_path=path_to_db, offline_transform=transforms.BandDifferentialEntropy( band_dict={ "delta": [1, 4], "theta": [4,...

Hi, I have the same question. In the paper is stated (1325, 62), being 1325=5*265. I assumed 5 is the number of DE features, but what about 265?