{"id":"https://openalex.org/W4392903754","doi":"https://doi.org/10.1109/icassp48485.2024.10448352","title":"Semi-Supervised Domain Adaptation for Eeg-Based Sleep Stage Classification","display_name":"Semi-Supervised Domain Adaptation for Eeg-Based Sleep Stage Classification","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903754","doi":"https://doi.org/10.1109/icassp48485.2024.10448352"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104260044","display_name":"Shitao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitao Zheng","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008740867","display_name":"Dongrui Wu","orcid":"https://orcid.org/0000-0002-7153-9703"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongrui Wu","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":4.6215,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95180886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1776","last_page":"1780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10985","display_name":"Sleep and Wakefulness Research","score":0.9764999747276306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293658256530762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421715021133423},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6385817527770996},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6119958162307739},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.5270764231681824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5140896439552307},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.49133649468421936},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4462326467037201},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4399649500846863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3789801299571991},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.20776450634002686},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1805134117603302},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14291414618492126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293658256530762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421715021133423},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6385817527770996},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6119958162307739},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.5270764231681824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5140896439552307},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.49133649468421936},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4462326467037201},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4399649500846863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3789801299571991},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.20776450634002686},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1805134117603302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14291414618492126},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2604096629","https://openalex.org/W2805033630","https://openalex.org/W2893892260","https://openalex.org/W2964959984","https://openalex.org/W2984353870","https://openalex.org/W2986381065","https://openalex.org/W3040939498","https://openalex.org/W3094502228","https://openalex.org/W3110080985","https://openalex.org/W3158818505","https://openalex.org/W3165396901","https://openalex.org/W3176720610","https://openalex.org/W3190122213","https://openalex.org/W3203810176","https://openalex.org/W4214889253","https://openalex.org/W4304080272","https://openalex.org/W4307823382","https://openalex.org/W4385245566","https://openalex.org/W6681588610","https://openalex.org/W6688325169","https://openalex.org/W6762913911","https://openalex.org/W6788135285"],"related_works":["https://openalex.org/W3121188996","https://openalex.org/W2565214228","https://openalex.org/W4308561096","https://openalex.org/W3200508116","https://openalex.org/W2136162213","https://openalex.org/W2376497661","https://openalex.org/W3011076523","https://openalex.org/W2332107599","https://openalex.org/W2319810220","https://openalex.org/W2424678138"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"based":[2,21],"sleep":[3,10,17,23,70],"stage":[4,71],"classification":[5],"is":[6,101],"very":[7],"important":[8],"in":[9,36],"quality":[11],"analysis":[12],"and":[13,45,84,98],"the":[14,41,82,105,115,118],"treatment":[15],"of":[16,117],"disorders.":[18],"Deep":[19],"learning":[20],"automated":[22],"staging":[24],"has":[25,31],"achieved":[26],"promising":[27],"performance.":[28,108],"However,":[29],"it":[30],"not":[32],"been":[33],"widely":[34],"adopted":[35],"clinical":[37],"practice,":[38],"due":[39],"to":[40,78,103],"domain":[42,64,107],"shift":[43],"problem":[44],"insufficient":[46],"labeled":[47],"training":[48],"data,":[49],"especially":[50],"for":[51,68],"patients.":[52],"To":[53],"cope":[54],"with":[55,92],"these":[56],"problems,":[57],"this":[58],"paper":[59],"proposes":[60],"a":[61,89],"Transformer-based":[62],"semi-supervised":[63],"adaptation":[65,97],"(SSDA)":[66],"approach":[67],"EEG-based":[69],"classification.":[72],"It":[73],"uses":[74],"two":[75,111],"class":[76],"tokens":[77],"extract":[79],"knowledge":[80],"from":[81],"source":[83],"target":[85,106],"domains":[86],"separately.":[87],"Then,":[88],"training-test":[90],"strategy":[91],"adaptive":[93],"entropy-weighted":[94],"ensemble,":[95],"attention-based":[96],"consistency":[99],"regularization":[100],"used":[102],"improve":[104],"Experiments":[109],"on":[110],"public":[112],"datasets":[113],"demonstrated":[114],"effectiveness":[116],"proposed":[119],"approach.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
