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Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Predictio... | RTCL.TV

Keywords ###
#seizureprediction #epilepsy #electroencephalography #featureextraction #machinelearning #signalprocessing #RTCLTV #shorts

Article Attribution ###
Title: Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients
Authors: Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni ,and Alberto Testolin
Publisher: MDPI AG
DOI: 10.3390/app13074262
DOAJ URL: doaj.org/article/3bed75083be24e7ab6e551959c5f5a2f
Source URL: www.mdpi.com/2076-3417/13/7/4262



Image Attribution ###
We used stable diffusion to programmatically generate the background images.
Viewer discretion is advised.

Channels ###
YouTube Channel: youtube.com/@stemrtcltv
Odysee Channel: odysee.com/@stem_rtcl_tv

Video Timestamps ###
0:00:00 - Summary
0:00:33 - Title
0:00:40 - End

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