Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
Author:
Affiliation:
1. BioSensics LLC,Newton,MA,USA
2. Brown University,Computer Science Department,Providence,RI,USA
3. University of Southern California,Keck School of Medicine,Los Angeles,CA,USA
Funder
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10068862/10068777/10069282.pdf?arnumber=10069282
Reference47 articles.
1. Time-Series Representation Learning via Temporal and Contextual Contrasting
2. Deep residual learning for image recognition;he;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016
3. Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network
4. Bridging nonlinearities and stochastic regularizers with gaussian error linear units;hendrycks;CoRR,2016
5. Pediatric Seizure prediction from EEG signals based on unsupervised learning techniques using various distance measures
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