{"id":"https://openalex.org/W4392909614","doi":"https://doi.org/10.1109/icassp48485.2024.10447934","title":"Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery","display_name":"Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909614","doi":"https://doi.org/10.1109/icassp48485.2024.10447934"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447934","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":"article","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/A5069272139","display_name":"Yumei Huang","orcid":"https://orcid.org/0000-0002-8398-1320"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu-Mei Huang","raw_affiliation_strings":["Institute of Data Science and Engineering"],"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053762497","display_name":"Hui-Nien Hung","orcid":"https://orcid.org/0000-0002-4064-8405"},"institutions":[{"id":"https://openalex.org/I4210153325","display_name":"Institute of Mathematical Statistics","ror":"https://ror.org/043f04882","country_code":"US","type":"other","lineage":["https://openalex.org/I4210153325"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui-Nien Hung","raw_affiliation_strings":["Institute of Statistics"],"affiliations":[{"raw_affiliation_string":"Institute of Statistics","institution_ids":["https://openalex.org/I4210153325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["Institute of Data Science and Engineering","Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Taiwan, ROC","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069272139"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7287,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66146624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7470","last_page":"7474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8039248585700989},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7424917221069336},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6794945001602173},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6608365774154663},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6533064246177673},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5316123962402344},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49176815152168274},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47774738073349},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4715162515640259},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4582589864730835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39465540647506714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32713237404823303},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16545450687408447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1268775761127472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039248585700989},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7424917221069336},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6794945001602173},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6608365774154663},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6533064246177673},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5316123962402344},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49176815152168274},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47774738073349},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4715162515640259},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4582589864730835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39465540647506714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32713237404823303},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16545450687408447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1268775761127472},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447934","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":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1996167318","https://openalex.org/W2089685866","https://openalex.org/W2181785117","https://openalex.org/W2559463885","https://openalex.org/W2884585870","https://openalex.org/W2935033494","https://openalex.org/W2963727766","https://openalex.org/W3102455230","https://openalex.org/W3112695512","https://openalex.org/W3135511716","https://openalex.org/W3173251459","https://openalex.org/W3198430326","https://openalex.org/W4212774754","https://openalex.org/W4224307534","https://openalex.org/W4225724279","https://openalex.org/W4226548933","https://openalex.org/W6603760306","https://openalex.org/W6685913841","https://openalex.org/W6687400500","https://openalex.org/W6754770232","https://openalex.org/W6803856452","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W2510077457","https://openalex.org/W3045772920","https://openalex.org/W2047816336"],"abstract_inverted_index":{"Motor":[0],"Imagery":[1],"(MI)":[2],"is":[3,79,101,152],"essential":[4],"in":[5,39,87,109],"the":[6,11,20,30,80,110,114,122],"Brain-Computer":[7],"Interface":[8],"(BCI).":[9],"Given":[10],"multi-source":[12],"nature":[13],"of":[14,32,49],"EEG":[15,88],"instability":[16],"across":[17,94,154],"subjects/sessions":[18],"and":[19,96,125,133],"privacy":[21],"concerns":[22],"when":[23],"dealing":[24],"with":[25],"data":[26],"from":[27],"other":[28],"institutions,":[29],"importance":[31,86],"multi-source-free":[33],"domain":[34,75,99],"adaptation":[35,76,115,150],"(MSFDA)":[36],"becomes":[37],"evident":[38],"conducting":[40],"subject-independent":[41],"applications.":[42],"However,":[43],"current":[44],"MI":[45,89],"approaches":[46],"are":[47],"lack":[48],"MSFDA":[50,70,155],"for":[51],"considering":[52],"different":[53,84],"sources\u2019":[54],"importance,":[55,124],"which":[56,78],"may":[57],"lead":[58],"to":[59,82,103],"negative":[60],"transfer.":[61],"In":[62,113,147],"this":[63],"work,":[64],"we":[65],"propose":[66],"a":[67,126],"novel":[68],"two-stage":[69],"framework,":[71],"namely":[72],"Privacy-preserving":[73],"Attention-Weighted":[74],"(PAW),":[77],"first":[81],"emphasize":[83],"source":[85,123],"by":[90],"identifying":[91],"crucial":[92],"features":[93,106],"subjects":[95],"sessions.":[97],"A":[98],"discriminator":[100],"designed":[102],"find":[104],"robust":[105],"within":[107],"sessions":[108],"training":[111],"phase.":[112],"phase,":[116],"an":[117],"attention":[118],"weighted":[119],"module":[120],"determines":[121],"balanced":[127],"confident":[128],"set":[129],"policy":[130],"mitigates":[131],"noise":[132],"imbalance":[134],"samples.":[135],"PAW":[136],"delivers":[137],"excellent":[138],"performance":[139],"via":[140],"empirical":[141],"evaluations":[142],"on":[143],"several":[144],"public":[145],"datasets.":[146],"particular,":[148],"its":[149,158],"phase":[151],"applicable":[153],"scenarios,":[156],"highlighting":[157],"broad":[159],"application":[160],"values.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
