{"id":"https://openalex.org/W2980679849","doi":"https://doi.org/10.1109/mlsp.2019.8918693","title":"Self-Supervised Representation Learning from Electroencephalography Signals","display_name":"Self-Supervised Representation Learning from Electroencephalography Signals","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2980679849","doi":"https://doi.org/10.1109/mlsp.2019.8918693","mag":"2980679849"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2019.8918693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.05419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033095909","display_name":"Hubert Banville","orcid":"https://orcid.org/0000-0002-3362-0244"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210109323","display_name":"InteraXon (Canada)","ror":"https://ror.org/02168q889","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210109323"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Hubert Banville","raw_affiliation_strings":["Inria, Universit\u00e9 Paris-Saclay, Paris, France","Modelling brain structure, function and variability based on high-field MRI data","InteraXon Inc [Toronto]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Modelling brain structure, function and variability based on high-field MRI data","institution_ids":[]},{"raw_affiliation_string":"InteraXon Inc [Toronto]","institution_ids":["https://openalex.org/I4210109323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076900336","display_name":"Isabela Albuquerque","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Isabela Albuquerque","raw_affiliation_strings":["INRS-EMT, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","Institut National de la Recherche Scientifique [Qu\u00e9bec]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRS-EMT, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]},{"raw_affiliation_string":"Institut National de la Recherche Scientifique [Qu\u00e9bec]","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061498233","display_name":"Aapo Hyv\u00e4rinen","orcid":"https://orcid.org/0000-0002-5806-4432"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FI","FR"],"is_corresponding":false,"raw_author_name":"Aapo Hyvarinen","raw_affiliation_strings":["Inria, Universit\u00e9 Paris-Saclay, Paris, France","Inria Saclay - Ile de France","Helsingin yliopisto = Helsingfors universitet = University of Helsinki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Inria Saclay - Ile de France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"Helsingin yliopisto = Helsingfors universitet = University of Helsinki","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088066966","display_name":"Graeme Moffat","orcid":"https://orcid.org/0000-0003-4919-868X"},"institutions":[{"id":"https://openalex.org/I4210109323","display_name":"InteraXon (Canada)","ror":"https://ror.org/02168q889","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210109323"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Graeme Moffat","raw_affiliation_strings":["InteraXon Inc, Toronto, Canada","InteraXon Inc [Toronto]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InteraXon Inc, Toronto, Canada","institution_ids":["https://openalex.org/I4210109323"]},{"raw_affiliation_string":"InteraXon Inc [Toronto]","institution_ids":["https://openalex.org/I4210109323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040139150","display_name":"Denis A. Engemann","orcid":"https://orcid.org/0000-0002-7223-1014"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Denis-Alexander Engemann","raw_affiliation_strings":["Inria, Universit\u00e9 Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018256474","display_name":"Alexandre Gramfort","orcid":"https://orcid.org/0000-0001-9791-4404"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Gramfort","raw_affiliation_strings":["Inria, Universit\u00e9 Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7478,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7068316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8739657402038574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676440834999084},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5506434440612793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5129601359367371},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4485428035259247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439691424369812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34502166509628296},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1785370111465454},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12105885148048401}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8739657402038574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676440834999084},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5506434440612793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5129601359367371},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4485428035259247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439691424369812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34502166509628296},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1785370111465454},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12105885148048401},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mlsp.2019.8918693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.05419","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05419","pdf_url":"https://arxiv.org/pdf/1911.05419","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:helda.helsinki.fi:10138/317290","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/xpl/conhome/8911118/proceeding","pdf_url":"http://hdl.handle.net/10138/317290","source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},{"id":"doi:10.48550/arxiv.1911.05419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.05419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.05419","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05419","pdf_url":"https://arxiv.org/pdf/1911.05419","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1494198834","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1983256092","https://openalex.org/W2101234009","https://openalex.org/W2136655611","https://openalex.org/W2144691514","https://openalex.org/W2162800060","https://openalex.org/W2487442924","https://openalex.org/W2513213398","https://openalex.org/W2584905023","https://openalex.org/W2641667423","https://openalex.org/W2657268502","https://openalex.org/W2786672974","https://openalex.org/W2798405286","https://openalex.org/W2804636549","https://openalex.org/W2842511635","https://openalex.org/W2899771611","https://openalex.org/W2911779594","https://openalex.org/W2963919481","https://openalex.org/W2964193753","https://openalex.org/W3152633770","https://openalex.org/W6629717138","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6675354045","https://openalex.org/W6748816842","https://openalex.org/W6756040250","https://openalex.org/W6758354414","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W2130428257","https://openalex.org/W200322357","https://openalex.org/W4308951944","https://openalex.org/W2988848585","https://openalex.org/W4312960290","https://openalex.org/W4233722919","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W4323929055"],"abstract_inverted_index":{"The":[0],"supervised":[1,44,122],"learning":[2,36,55],"paradigm":[3,26],"is":[4],"limited":[5],"by":[6],"the":[7,12,29,97],"cost":[8],"-":[9,14],"and":[10,18,62,112],"sometimes":[11],"impracticality":[13],"of":[15,31],"data":[16,33,126],"collection":[17],"labeling":[19],"in":[20,57,124],"multiple":[21],"domains.":[22],"Self-supervised":[23],"learning,":[24],"a":[25,51,106,120],"which":[27],"exploits":[28],"structure":[30],"unlabeled":[32],"to":[34,77,136],"create":[35],"problems":[37],"that":[38,73],"can":[39,74],"be":[40,75],"solved":[41],"with":[42,113],"standard":[43],"approaches,":[45],"has":[46],"shown":[47],"great":[48],"promise":[49],"as":[50],"pretraining":[52],"or":[53,101],"feature":[54],"approach":[56,87,118,123],"fields":[58],"like":[59],"computer":[60],"vision":[61],"time":[63,83,92],"series":[64],"processing.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"present":[70],"self-supervision":[71],"strategies":[72],"used":[76],"learn":[78],"informative":[79],"representations":[80],"from":[81,96],"multivariate":[82],"series.":[84],"One":[85],"successful":[86],"relies":[88],"on":[89,105],"predicting":[90],"whether":[91],"windows":[93],"are":[94],"sampled":[95],"same":[98],"temporal":[99],"context":[100],"not.":[102],"As":[103],"demonstrated":[104],"clinically":[107],"relevant":[108],"task":[109],"(sleep":[110],"scoring)":[111],"two":[114],"electroencephalography":[115],"datasets,":[116],"our":[117],"outperforms":[119],"purely":[121],"low":[125],"regimes,":[127],"while":[128],"capturing":[129],"important":[130],"physiological":[131],"information":[132],"without":[133],"any":[134],"access":[135],"labels.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-10-25T00:00:00"}