{"id":"https://openalex.org/W4375929070","doi":"https://doi.org/10.1109/tcss.2023.3270569","title":"Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis","display_name":"Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis","publication_year":2023,"publication_date":"2023-05-08","ids":{"openalex":"https://openalex.org/W4375929070","doi":"https://doi.org/10.1109/tcss.2023.3270569"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2023.3270569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3270569","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-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/A5072161344","display_name":"Zhaodi Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaodi Pei","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Pazhou Laboratory, Guangzhou, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011793912","display_name":"Fulin Wei","orcid":"https://orcid.org/0000-0003-1962-0675"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulin Wei","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Pazhou Laboratory, Guangzhou, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1962-0675","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037865593","display_name":"Zhiyuan Zhu","orcid":"https://orcid.org/0000-0001-8438-1792"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Pazhou Laboratory, Guangzhou, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8438-1792","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007297993","display_name":"Xia Wu","orcid":"https://orcid.org/0000-0002-2377-6093"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Wu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","Pazhou Laboratory, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2377-6093","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.979,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79937257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"2","first_page":"2201","last_page":"2209"},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9775000214576721,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/generalizability-theory","display_name":"Generalizability theory","score":0.8671032786369324},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8454380035400391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7690305709838867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6960642337799072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901119947433472},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6677200198173523},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4335900545120239}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8671032786369324},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8454380035400391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690305709838867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6960642337799072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901119947433472},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6677200198173523},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4335900545120239},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/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/tcss.2023.3270569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3270569","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5631758027","display_name":null,"funder_award_id":"62227801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W2005650084","https://openalex.org/W2005811099","https://openalex.org/W2057550180","https://openalex.org/W2058046532","https://openalex.org/W2079096922","https://openalex.org/W2125056954","https://openalex.org/W2310177520","https://openalex.org/W2314945771","https://openalex.org/W2576964996","https://openalex.org/W2580550478","https://openalex.org/W2594179300","https://openalex.org/W2602480929","https://openalex.org/W2785678896","https://openalex.org/W2787427645","https://openalex.org/W2787579267","https://openalex.org/W2887280559","https://openalex.org/W2897035501","https://openalex.org/W2906033847","https://openalex.org/W2921224201","https://openalex.org/W2933555609","https://openalex.org/W2947588442","https://openalex.org/W2963943197","https://openalex.org/W2966036416","https://openalex.org/W2969646834","https://openalex.org/W2969947100","https://openalex.org/W2982620807","https://openalex.org/W2984648456","https://openalex.org/W2984810221","https://openalex.org/W2984941979","https://openalex.org/W2989261235","https://openalex.org/W2996927594","https://openalex.org/W3004531689","https://openalex.org/W3008814843","https://openalex.org/W3009009611","https://openalex.org/W3011304563","https://openalex.org/W3014538205","https://openalex.org/W3021883287","https://openalex.org/W3034855543","https://openalex.org/W3034942609","https://openalex.org/W3040218637","https://openalex.org/W3041133507","https://openalex.org/W3080551539","https://openalex.org/W3083581557","https://openalex.org/W3090607865","https://openalex.org/W3091180004","https://openalex.org/W3099805905","https://openalex.org/W3106411000","https://openalex.org/W3109512970","https://openalex.org/W3121412789","https://openalex.org/W3121966255","https://openalex.org/W3126915734","https://openalex.org/W3127284993","https://openalex.org/W3159456745","https://openalex.org/W3164579439","https://openalex.org/W3171376656","https://openalex.org/W3201074629","https://openalex.org/W3215401474","https://openalex.org/W4205095020","https://openalex.org/W4225381939","https://openalex.org/W4225577454","https://openalex.org/W4226092233","https://openalex.org/W4226153498","https://openalex.org/W4297726864","https://openalex.org/W4308459649","https://openalex.org/W6683584131","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6748582592","https://openalex.org/W6748655329","https://openalex.org/W6751646164","https://openalex.org/W6758184449","https://openalex.org/W6769201011","https://openalex.org/W6773754115","https://openalex.org/W6779093361","https://openalex.org/W6780052409","https://openalex.org/W6780507278"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W4386121542"],"abstract_inverted_index":{"Cross-site":[0],"datasets":[1],"expand":[2],"the":[3,9,42,51,57,68,86,111,148,158,165,171],"data":[4,20,144],"size":[5],"and":[6,91,101,185],"could":[7],"improve":[8],"disease":[10],"diagnosis":[11,201],"capabilities":[12],"of":[13,104,113,160,162],"machine":[14],"learning":[15,33,46,75],"models.":[16],"However,":[17,94],"differences":[18],"in":[19,56,64,110,115,150,164],"distribution":[21],"between":[22],"different":[23],"sites":[24],"can":[25,121],"lead":[26],"to":[27,40,78,106,137,145,173],"poor":[28],"model":[29,88,149,172],"generalizability.":[30],"Although":[31],"transfer":[32,45,74],"is":[34,61,96],"a":[35,129,196],"mainstream":[36],"method":[37],"often":[38],"used":[39],"tackle":[41],"issue,":[43],"most":[44],"studies":[47],"assume":[48],"that":[49,180],"all":[50],"target":[52,69,92,166,192],"samples":[53,70,105,120,163],"are":[54],"given":[55],"training":[58],"procedure,":[59],"which":[60],"not":[62,155],"available":[63],"clinical":[65,80,116],"applications":[66,117],"where":[67,118],"arrive":[71],"sequentially.":[72],"Online":[73],"(OTL)":[76],"aims":[77],"accomplish":[79],"diagnostic":[81],"tasks":[82],"by":[83,98],"adaptively":[84],"updating":[85],"ensemble":[87],"containing":[89],"source":[90],"classifiers.":[93],"OTL":[95,114,135],"limited":[97],"zero":[99],"initialization":[100],"requires":[102],"numbers":[103],"iterate.":[107],"This":[108],"results":[109,189],"underperformance":[112],"few":[119,191],"be":[122],"obtained.":[123],"In":[124],"this":[125,139],"article,":[126],"we":[127],"propose":[128],"new":[130],"framework":[131],"named":[132],"few-shot":[133],"synthetic":[134,143],"(FSOTL)":[136],"address":[138],"issue.":[140],"FSOTL":[141,181],"uses":[142],"warm":[146],"up":[147],"an":[151],"online":[152,199],"fashion.":[153],"It":[154],"only":[156],"alleviates":[157],"problem":[159],"scarcity":[161],"domain":[167],"but":[168],"also":[169],"enables":[170],"gain":[174],"more":[175,183,187],"knowledge.":[176],"Our":[177],"experiments":[178],"show":[179],"performs":[182],"stably":[184],"achieves":[186],"accurate":[188],"with":[190],"samples,":[193],"thereby":[194],"offering":[195],"promising":[197],"cross-site":[198],"computer-aided":[200],"system":[202],"for":[203],"large-scale":[204],"applications.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}