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Machine Learning for cognitive load Inference from physiological signals - NEC21 workshop - Shared screen with speaker view
Martin Gjoreski
01:06:53
Downlaod the data locally using the link: https://drive.google.com/drive/folders/1PYaivJ5nMcUpLHsrENSUVDkoTtuDvKrS?usp=sharingUpload the data to your personal Google Drive. For example, we've used the folder "public/" in our Google Drive
Pejović, Veljko
01:13:48
https://github.com/vpejovic/CognitiveLoadWearables
Diogo Branco
01:16:48
Should we change for GPU in hardware accelaration?
Diogo Branco
01:34:30
iz3x1
Bingjié Cheng
01:34:31
iz3x1
Sabrina Gado
02:02:58
Good question, thanks for the explanation!
Martin Gjoreski
02:24:27
https://github.com/vpejovic/CognitiveLoadWearables
Katharina Lingelbach
03:18:56
xgb.feature_importances_
Katharina Lingelbach
03:18:59
;)
Katharina Lingelbach
03:19:50
probably: gridXGB.best_estimator_.feature_importance_
Sabrina Gado
03:23:10
—> gridXGB.best_estimator_.feature_importances_
Francesco Chiossi
03:48:00
Also the registration will be made available?
Felix Schröder
03:49:47
Not just you
Nigel Gebodh
04:01:54
https://zenodo.org/record/3837213#.YTzR6p1KjOg
Felix Schröder
04:02:05
thanks
Rohit Arora
04:03:05
thank you so much for the workshop! good luck!