{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T22:06:46Z","timestamp":1776118006125,"version":"3.50.1"},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,2,22]]},"DOI":"10.1109\/bci51272.2021.9385345","type":"proceedings-article","created":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T18:58:03Z","timestamp":1621277883000},"page":"1-2","source":"Crossref","is-referenced-by-count":9,"title":["Learning with self-supervision on EEG data"],"prefix":"10.1109","author":[{"given":"Alexandre","family":"Gramfort","sequence":"first","affiliation":[]},{"given":"Hubert","family":"Banville","sequence":"additional","affiliation":[]},{"given":"Omar","family":"Chehab","sequence":"additional","affiliation":[]},{"given":"Aapo","family":"Hyvarinen","sequence":"additional","affiliation":[]},{"given":"Denis","family":"Engemann","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-018-00093-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aab2f2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab260c"},{"key":"ref6","author":"devlin","year":"2018","journal-title":"BERT Pre-training of deep bidirectional transformers for language understanding"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00702-013-1070-5"},{"key":"ref5","author":"jing","year":"2019","journal-title":"Self-supervised visual feature learning with deep neural networks A survey[J]"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"215e","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref7","article-title":"Uncovering the structure of clinical eeg signals with self-supervised learning","author":"banville","year":"2020","journal-title":"Journal of Neural Engineering"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.02.014"},{"key":"ref9","author":"\u00f3pez","year":"2017","journal-title":"Automated interpretation of abnormal adult electroencephalograms"},{"key":"ref1","first-page":"1","article-title":"You snooze, you win: the physionet\/computing in cardiology challenge 2018","volume":"45","author":"ghassemi","year":"0","journal-title":"2018 Computing in Cardiology Conference (CinC)"}],"event":{"name":"2021 9th International Winter Conference on Brain-Computer Interface (BCI)","location":"Gangwon, Korea (South)","start":{"date-parts":[[2021,2,22]]},"end":{"date-parts":[[2021,2,24]]}},"container-title":["2021 9th International Winter Conference on Brain-Computer Interface (BCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9385268\/9385288\/09385345.pdf?arnumber=9385345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T16:20:07Z","timestamp":1643300407000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9385345\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,22]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/bci51272.2021.9385345","relation":{},"subject":[],"published":{"date-parts":[[2021,2,22]]}}}