Self-supervised representation learning from electroencephalography signals

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http://hdl.handle.net/10138/317290

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Banville , H , Albuquerque , I , Hyvärinen , A , Moffat , G , Engemann , D-A & Gramfort , A 2019 , Self-supervised representation learning from electroencephalography signals . in 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) . vol. 2019 , IEEE , IEEE International Workshop on Machine Learning for Signal Processing , Pittsburgh , United States , 13/10/2019 . https://doi.org/10.1109/MLSP.2019.8918693

Titel: Self-supervised representation learning from electroencephalography signals
Författare: Banville, Hubert; Albuquerque, Isabela; Hyvärinen, Aapo; Moffat, Grame; Engemann, Denis-Alexander; Gramfort, Alexandre
Upphovmannens organisation: Helsinki Institute for Information Technology
Department of Computer Science
Neuroinformatics research group / Aapo Hyvärinen
Utgivare: IEEE
Datum: 2019
Språk: eng
Sidantal: 6
Tillhör serie: 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)
ISBN: 978-1-7281-0824-7
DOI: https://doi.org/10.1109/MLSP.2019.8918693
Permanenta länken (URI): http://hdl.handle.net/10138/317290
Subject: 113 Computer and information sciences
Self-supervised learning
representation learning
electroencephalography
time series
Referentgranskad: Ja
Licens: unspecified
Användningsbegränsning: openAccess
Parallelpublicerad version: acceptedVersion


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