{"id":"https://openalex.org/W4385341071","doi":"https://doi.org/10.3233/jifs-232627","title":"Enhancing classification performance through multi-source online transfer learning algorithm with oversampling","display_name":"Enhancing classification performance through multi-source online transfer learning algorithm with oversampling","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385341071","doi":"https://doi.org/10.3233/jifs-232627"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-232627","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232627","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy 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/A5120644969","display_name":"Yi Liao","orcid":"https://orcid.org/0000-0002-7724-1799"},"institutions":[{"id":"https://openalex.org/I77396741","display_name":"Hunan University of Technology and Business","ror":"https://ror.org/057cydn08","country_code":"CN","type":"education","lineage":["https://openalex.org/I77396741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liao","raw_affiliation_strings":["Hunan Vocational College of Commerce, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan Vocational College of Commerce, Changsha, China","institution_ids":["https://openalex.org/I77396741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081331055","display_name":"Kuangfeng Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuangfeng Ning","raw_affiliation_strings":["Hunan International Economics University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan International Economics University, Changsha, China","institution_ids":["https://openalex.org/I1296452710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081331055"],"corresponding_institution_ids":["https://openalex.org/I1296452710"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64373218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"45","issue":"4","first_page":"6229","last_page":"6245"},"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":0.9933000206947327,"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":0.9933000206947327,"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":0.9901999831199646,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9733999967575073,"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/oversampling","display_name":"Oversampling","score":0.9500154256820679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891993880271912},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6456716656684875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6022902727127075},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5574818253517151},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5395706295967102},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5370871424674988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5239051580429077},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4913438856601715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45109790563583374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21461457014083862},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.081096351146698}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9500154256820679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891993880271912},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6456716656684875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6022902727127075},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5574818253517151},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5395706295967102},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5370871424674988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5239051580429077},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4913438856601715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45109790563583374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21461457014083862},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.081096351146698},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-232627","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232627","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1986614398","https://openalex.org/W2005650084","https://openalex.org/W2075728230","https://openalex.org/W2100664256","https://openalex.org/W2110518760","https://openalex.org/W2122838776","https://openalex.org/W2148143831","https://openalex.org/W2156909104","https://openalex.org/W2165698076","https://openalex.org/W2170860445","https://openalex.org/W2212983101","https://openalex.org/W2602480929","https://openalex.org/W2627183927","https://openalex.org/W2762270358","https://openalex.org/W2763619424","https://openalex.org/W2900519066","https://openalex.org/W2947733970","https://openalex.org/W2981720610","https://openalex.org/W2984941979","https://openalex.org/W3009009611","https://openalex.org/W3119069119","https://openalex.org/W4310867386","https://openalex.org/W4317433730","https://openalex.org/W4320015804","https://openalex.org/W6677954473","https://openalex.org/W6683584131","https://openalex.org/W6744933957"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W1969988626","https://openalex.org/W3173198409","https://openalex.org/W1571672972"],"abstract_inverted_index":{"Multi-source":[0],"online":[1,27,60,113],"transfer":[2,28],"learning":[3,29],"uses":[4],"the":[5,14,18,35,39,43,64,68,75,79,94,102,108,112,119,127,139,144,148,153,161,165,171,176,182,189,192,196,208,212,229,233,239],"tagged":[6],"data":[7,23,190],"from":[8,118,130,160,191],"multiple":[9,55,131],"source":[10,40,56,69,103,162,193],"domains":[11,57],"to":[12,84,151,170,206,224],"enhance":[13],"classification":[15],"performance":[16,210],"of":[17,38,51,67,78,111,211],"target":[19,44,61,114,154,166,197],"domain.":[20],"For":[21],"unbalanced":[22],"sets,":[24],"a":[25],"multi-source":[26],"algorithm":[30,49],"that":[31,133],"can":[32],"oversample":[33],"in":[34,74,101,126,147],"feature":[36,76,105,128,173],"spaces":[37],"domain":[41,45,104,155,163,167,194,198],"and":[42,58,137,143,164,181,195,222,238],"is":[46,72,186],"proposed.":[47],"The":[48,158],"consists":[50],"two":[52],"parts:":[53],"oversampling":[54,59,65,71,109],"domains.":[62],"In":[63,107],"phase":[66,110],"domain,":[70,115],"performed":[73],"space":[77,129,174],"support":[80],"vector":[81],"machine":[82],"(SVM)":[83],"generate":[85],"minority":[86,116],"samples.":[87],"New":[88],"samples":[89,117,142,146,159],"are":[90,168],"obtained":[91],"by":[92,236,243],"amplifying":[93],"original":[95,145],"Gram":[96],"matrix":[97],"through":[98,175],"neighborhood":[99],"information":[100],"space.":[106],"current":[120,149],"batch":[121,150],"search":[122],"for":[123,179],"k-nearest":[124],"neighbors":[125],"batches":[132],"have":[134],"already":[135],"arrived,":[136],"use":[138],"generated":[140],"new":[141],"train":[152],"function":[156,178,185],"together.":[157],"mapped":[169],"same":[172],"kernel":[177],"oversampling,":[180],"corresponding":[183],"decision":[184],"trained":[187],"using":[188],"with":[199],"relatively":[200],"balanced":[201],"class":[202],"distribution,":[203],"so":[204],"as":[205],"improve":[207],"overall":[209],"algorithm.":[213],"Comprehensive":[214],"experiments":[215],"were":[216],"conducted":[217],"on":[218,228],"four":[219],"real":[220],"datasets,":[221],"compared":[223],"other":[225],"baseline":[226],"algorithms":[227],"Office":[230],"Home":[231],"dataset,":[232],"accuracy":[234],"improved":[235,242],"0.0311":[237],"G-mean":[240],"value":[241],"0.0702.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
