{"id":"https://openalex.org/W2808100124","doi":"https://doi.org/10.1109/prni.2018.8423957","title":"Domain adaptation with optimal transport improves EEG sleep stage classifiers","display_name":"Domain adaptation with optimal transport improves EEG sleep stage classifiers","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2808100124","doi":"https://doi.org/10.1109/prni.2018.8423957","mag":"2808100124"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2018.8423957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2018.8423957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01814190/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072631910","display_name":"Stanislas Chambon","orcid":"https://orcid.org/0000-0001-8949-9343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stanislas Chambon","raw_affiliation_strings":["Research & Algorithms Team, Rythm, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Algorithms Team, Rythm, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087628438","display_name":"Mathieu Galtier","orcid":"https://orcid.org/0000-0001-6023-0914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathieu N. Galtier","raw_affiliation_strings":["Research & Algorithms Team, Rythm, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research & Algorithms Team, Rythm, Paris, France","institution_ids":[]}]},{"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, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 Paris-Saclay, Palaiseau, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3104,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85190669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7852662801742554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865513324737549},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6339871287345886},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.517022967338562},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5155748724937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4992055892944336},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4856675863265991},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4323117136955261},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4004972577095032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3447510302066803},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32675063610076904},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15957176685333252},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13271045684814453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12412896752357483},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.05815008282661438}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7852662801742554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865513324737549},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6339871287345886},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.517022967338562},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5155748724937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4992055892944336},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4856675863265991},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4323117136955261},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4004972577095032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3447510302066803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32675063610076904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15957176685333252},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13271045684814453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12412896752357483},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.05815008282661438},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/prni.2018.8423957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2018.8423957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01814190v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01814190","pdf_url":"https://hal.science/hal-01814190/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01814190v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01814190","pdf_url":"https://hal.science/hal-01814190/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808100124.pdf","grobid_xml":"https://content.openalex.org/works/W2808100124.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1983256092","https://openalex.org/W2031342017","https://openalex.org/W2104068492","https://openalex.org/W2128053425","https://openalex.org/W2131953535","https://openalex.org/W2165698076","https://openalex.org/W2169067611","https://openalex.org/W2344257056","https://openalex.org/W2593768305","https://openalex.org/W2963919481","https://openalex.org/W6610754620","https://openalex.org/W6635327882","https://openalex.org/W6637618735","https://openalex.org/W6675354045","https://openalex.org/W6681637710","https://openalex.org/W6682962330","https://openalex.org/W6685415078","https://openalex.org/W6741357806","https://openalex.org/W6743445603","https://openalex.org/W6744702448","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W3203792196","https://openalex.org/W4375869316","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W4295929828","https://openalex.org/W2250728308","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Low":[0],"sample":[1],"size":[2],"and":[3,64,88,122,142],"the":[4,12,39,49,58,62,65,70,73,77,82,86,89,116,127,139,143,151,155,159],"absence":[5],"of":[6,14,67,118,129],"labels":[7],"on":[8,29,76,107,158],"certain":[9],"data":[10],"limits":[11],"performances":[13,106,128],"predictive":[15],"algorithms.":[16],"To":[17],"overcome":[18],"this":[19,36,112],"problem,":[20],"it":[21],"is":[22,47,54,92],"sometimes":[23],"possible":[24],"to":[25,125],"learn":[26],"a":[27,30,55,130],"model":[28],"large":[31,59],"labeled":[32],"auxiliary":[33],"dataset.":[34],"Yet,":[35],"assumes":[37],"that":[38,150],"two":[40],"datasets":[41],"exhibit":[42],"similar":[43],"statistical":[44],"properties":[45],"which":[46],"rarely":[48],"case":[50],"in":[51],"practice:":[52],"there":[53],"discrepancy":[56],"between":[57,85],"dataset,":[60],"called":[61,69],"source,":[63],"dataset":[66],"interest,":[68],"target.":[71],"Improving":[72],"prediction":[74],"performance":[75],"target":[78,90,160],"domain":[79],"by":[80],"reducing":[81],"distribution":[83],"discrepancy,":[84],"source":[87],"domains,":[91],"known":[93],"as":[94],"Domain":[95],"Adaptation":[96],"(DA).":[97],"Presently,":[98],"Optimal":[99],"transport":[100],"DA":[101,109],"(OTDA)":[102],"methods":[103],"yield":[104],"state-of-the-art":[105],"several":[108],"problems.":[110],"In":[111],"paper,":[113],"we":[114],"consider":[115],"problem":[117],"sleep":[119],"stage":[120],"classification,":[121],"use":[123,135],"OTDA":[124],"improve":[126],"convolutional":[131],"neural":[132],"network.":[133],"We":[134],"features":[136],"learnt":[137],"from":[138],"electroencephalogram":[140],"(EEG)":[141],"electrooculogram":[144],"(EOG)":[145],"signals.":[146],"Our":[147],"results":[148],"demonstrate":[149],"method":[152],"significantly":[153],"improves":[154],"network":[156],"predictions":[157],"data.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}