乐胖代购免代理版

{"id":"https://openalex.org/W4393407230","doi":"https://doi.org/10.1109/bci60775.2024.10480445","title":"Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface","display_name":"Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4393407230","doi":"https://doi.org/10.1109/bci60775.2024.10480445"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci60775.2024.10480445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100606264","display_name":"Jun-Mo Kim","orcid":"https://orcid.org/0000-0002-2238-3255"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Mo Kim","raw_affiliation_strings":["dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102992465","display_name":"Soyeon Bak","orcid":"https://orcid.org/0009-0004-3324-5300"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soyeon Bak","raw_affiliation_strings":["dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044812605","display_name":"Hyeonyeong Nam","orcid":"https://orcid.org/0009-0002-9347-6149"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonyeong Nam","raw_affiliation_strings":["dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084741729","display_name":"WooHyeok Choi","orcid":"https://orcid.org/0009-0002-1888-4281"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"WooHyeok Choi","raw_affiliation_strings":["dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075267855","display_name":"Tae\u2010Eui Kam","orcid":"https://orcid.org/0000-0002-6677-7176"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Eui Kam","raw_affiliation_strings":["dept. Artificial Intelligence, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"dept. Artificial Intelligence, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":92},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9949,"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":0.9949,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9171,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9067,"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/motor-imagery","display_name":"Motor Imagery","score":0.9012389},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.55829996},{"id":"https://openalex.org/keywords/motor-learning","display_name":"Motor Learning","score":0.41061848}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.9012389},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.85358447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71270066},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.55829996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47296777},{"id":"https://openalex.org/C107690735","wikidata":"https://www.wikidata.org/wiki/Q852461","display_name":"Motor learning","level":2,"score":0.41061848},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37112284},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2700328},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16610226},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13096678},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci60775.2024.10480445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321373","funder_display_name":"Korea University","award_id":null},{"funder":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1980553000","https://openalex.org/W2044251627","https://openalex.org/W2098644279","https://openalex.org/W2103275652","https://openalex.org/W2128909182","https://openalex.org/W2611482981","https://openalex.org/W2621100405","https://openalex.org/W2741907166","https://openalex.org/W2896120927","https://openalex.org/W2912885887","https://openalex.org/W2913201307","https://openalex.org/W2974596145","https://openalex.org/W3082515422","https://openalex.org/W3092342532","https://openalex.org/W3102455230","https://openalex.org/W3115305254","https://openalex.org/W3119308196","https://openalex.org/W3191279200","https://openalex.org/W4328007684","https://openalex.org/W4361186056","https://openalex.org/W4379470214","https://openalex.org/W4383108332","https://openalex.org/W4387492882"],"related_works":["https://openalex.org/W3045772920","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W1984377984","https://openalex.org/W1977940006","https://openalex.org/W1961545574","https://openalex.org/W195417223","https://openalex.org/W1513407214"],"abstract_inverted_index":{"Motor":[0],"Imagery":[1],"Brain-Computer":[2],"Interface":[3],"(MI-BCI)":[4],"facilitates":[5],"human":[6],"to":[7,47,127,172],"communicate":[8],"with":[9],"computers":[10],"or":[11,62,88],"machines":[12],"using":[13,57],"brain":[14],"signals,":[15],"such":[16],"as":[17,144,153],"electroencephalography":[18],"(EEG),":[19],"induced":[20],"by":[21,56],"the":[22,67,70,73,111,116,122,129,133,139,145,148,154,163],"imagination":[23],"of":[24,66,132],"body":[25],"movements.":[26],"However,":[27,64],"acquiring":[28],"sufficient":[29],"data":[30,52,82],"for":[31,101],"training":[32],"reliable":[33],"classification":[34,130,169],"model":[35],"is":[36],"often":[37],"time-consuming":[38],"and":[39,147,150],"impractical.":[40],"Consequently,":[41],"recent":[42],"studies":[43,68],"have":[44],"shifted":[45],"focus":[46],"subject-independent":[48],"EEG":[49,103,168],"classification,":[50],"leveraging":[51],"from":[53,83,110],"other":[54,84],"subjects":[55,71,85],"methodologies":[58],"like":[59],"transfer":[60,99],"learning":[61,100],"meta-learning.":[63],"most":[65],"exploit":[69],"within":[72],"same":[74],"dataset,":[75,156],"which":[76],"might":[77],"raise":[78],"challenges":[79],"especially":[80],"when":[81],"are":[86],"scarce":[87],"inaccessible.":[89],"To":[90],"address":[91],"this":[92],"issue,":[93],"we":[94],"propose":[95],"a":[96],"meta-learning-based":[97],"cross-dataset":[98],"MI":[102,167],"classification.":[104],"We":[105,119],"first":[106],"extract":[107],"informative":[108],"knowledge":[109,124],"source":[112,146],"dataset":[113,143],"based":[114],"on":[115],"meta-learning":[117],"framework.":[118],"then":[120],"leverage":[121],"extracted":[123],"(or":[125],"meta-parameters)":[126],"enhance":[128],"performance":[131,170],"target":[134,155],"dataset.":[135],"This":[136],"method":[137,165],"leverages":[138],"BCI":[140],"Competition":[141],"IV-2a":[142],"KU":[149],"GIST":[151],"datasets":[152],"respectively.":[157],"Our":[158],"experimental":[159],"results":[160],"indicate":[161],"that":[162],"proposed":[164],"enhances":[166],"compared":[171],"conventional":[173],"subject-dependent":[174],"scenarios.":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4393407230","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-07T02:21:16.396045","created_date":"2024-04-03"}