{"id":"https://openalex.org/W3128731563","doi":"https://doi.org/10.1109/tnnls.2021.3054665","title":"Concept Drift-Tolerant Transfer Learning in Dynamic Environments","display_name":"Concept Drift-Tolerant Transfer Learning in Dynamic Environments","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3128731563","doi":"https://doi.org/10.1109/tnnls.2021.3054665","mag":"3128731563","pmid":"https://pubmed.ncbi.nlm.nih.gov/33566771"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3054665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3054665","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5057021534","display_name":"Cuie Yang","orcid":"https://orcid.org/0000-0003-1997-1854"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Cuie Yang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1997-1854","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7629-4648","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022740106","display_name":"Jinliang Ding","orcid":"https://orcid.org/0000-0003-3735-0672"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Ding","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3735-0672","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-6802-2463","affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2311,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94885084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"33","issue":"8","first_page":"3857","last_page":"3871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9614999890327454,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.802308201789856},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7271625995635986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6276140213012695},{"id":"https://openalex.org/keywords/negative-transfer","display_name":"Negative transfer","score":0.6191229820251465},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.615433931350708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5710142850875854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5199012160301208},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5145879983901978},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4590112566947937},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4476472735404968},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44731953740119934},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41402146220207214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39854931831359863},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.18447303771972656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0794190764427185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802308201789856},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7271625995635986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6276140213012695},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.6191229820251465},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.615433931350708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5710142850875854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5199012160301208},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5145879983901978},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4590112566947937},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4476472735404968},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44731953740119934},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41402146220207214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39854931831359863},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.18447303771972656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0794190764427185},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3054665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3054665","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33566771","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33566771","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G2540952836","display_name":null,"funder_award_id":"CityU11209219","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G4498375273","display_name":null,"funder_award_id":"RC-IRCMs/18-19/SCI/01","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G4555125076","display_name":"On Developing a Lip-password Based Face Recognition System","funder_award_id":"ITS/339/18","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"},{"id":"https://openalex.org/G4787607161","display_name":null,"funder_award_id":"RC-FNRA-IG/18-19/SCI/03","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G5012902116","display_name":null,"funder_award_id":"CityU11202418","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5789780205","display_name":null,"funder_award_id":"61988101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6465217458","display_name":null,"funder_award_id":"2018YFB1701104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8811941144","display_name":"\u5927\u6570\u636e\u5e73\u53f0\u4e0b\u57fa\u4e8e\u591a\u5143\u975e\u5b8c\u5907\u4fe1\u606f\u7684\u56fe\u50cf\u68c0\u7d22\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1722318740","https://openalex.org/W1830453967","https://openalex.org/W1853837125","https://openalex.org/W1904826605","https://openalex.org/W1990079212","https://openalex.org/W2000454347","https://openalex.org/W2032536435","https://openalex.org/W2057266281","https://openalex.org/W2075728230","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2119821739","https://openalex.org/W2122838776","https://openalex.org/W2139327121","https://openalex.org/W2149466042","https://openalex.org/W2160512933","https://openalex.org/W2161047120","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2187715916","https://openalex.org/W2294798173","https://openalex.org/W2329664094","https://openalex.org/W2395579298","https://openalex.org/W2585528949","https://openalex.org/W2591909298","https://openalex.org/W2602516395","https://openalex.org/W2889945482","https://openalex.org/W2898017895","https://openalex.org/W2904209271","https://openalex.org/W2909850830","https://openalex.org/W2962835731","https://openalex.org/W2963275094","https://openalex.org/W2963693396","https://openalex.org/W2964109570","https://openalex.org/W2974291863","https://openalex.org/W2980113592","https://openalex.org/W2990062256","https://openalex.org/W2991162376","https://openalex.org/W2992362249","https://openalex.org/W3013949960","https://openalex.org/W3021632667","https://openalex.org/W3023496898","https://openalex.org/W3023973923","https://openalex.org/W3041133507","https://openalex.org/W3105577954","https://openalex.org/W3124219615","https://openalex.org/W4225828257","https://openalex.org/W4235130247","https://openalex.org/W6634343353","https://openalex.org/W6675410418","https://openalex.org/W6676769703","https://openalex.org/W6680688123","https://openalex.org/W6686988927"],"related_works":["https://openalex.org/W2990081132","https://openalex.org/W4296984035","https://openalex.org/W3127121676","https://openalex.org/W4385398839","https://openalex.org/W4384700341","https://openalex.org/W2969613015","https://openalex.org/W2619137770","https://openalex.org/W2548360214","https://openalex.org/W2952841984","https://openalex.org/W2398668521"],"abstract_inverted_index":{"Existing":[0],"transfer":[1,32],"learning":[2,33],"methods":[3],"that":[4,79],"focus":[5],"on":[6,212],"problems":[7],"in":[8,61,81,87],"stationary":[9],"environments":[10],"are":[11,85,165],"not":[12],"usually":[13],"applicable":[14],"to":[15,41,51,57,72,105,112,129,148,155],"dynamic":[16],"environments,":[17,54],"where":[18],"concept":[19,30],"drift":[20],"may":[21],"occur.":[22],"To":[23],"the":[24,29,39,43,52,62,75,82,107,125,134,150,168,173,187,220,223],"best":[25],"of":[26,48,109,133,159,189,198,222],"our":[27],"knowledge,":[28],"drift-tolerant":[31],"(CDTL),":[34],"whose":[35],"major":[36],"challenge":[37],"is":[38,103,146,208],"need":[40],"adapt":[42,106],"target":[44,83,110,153],"model":[45,108],"and":[46,152,214],"knowledge":[47,139,158,197,207],"source":[49,151,163,169,191,199],"domains":[50,111,200],"changing":[53],"has":[55],"yet":[56],"be":[58,202],"well":[59],"explored":[60],"literature.":[63],"This":[64],"article,":[65],"therefore,":[66],"proposes":[67],"a":[68,88,99,117,142],"hybrid":[69],"ensemble":[70,102,145],"approach":[71],"deal":[73],"with":[74,167],"CDTL":[76],"problem":[77],"provided":[78],"data":[80,127,136,217],"domain":[84,183],"generated":[86,123],"streaming":[89],"chunk-by-chunk":[90],"manner":[91],"from":[92,124],"nonstationary":[93],"environments.":[94,114],"At":[95],"each":[96,121,131,160],"time":[97],"step,":[98],"class-wise":[100],"weighted":[101,144,176],"presented":[104],"new":[113],"It":[115],"assigns":[116],"weight":[118],"vector":[119],"for":[120],"classifier":[122],"previous":[126],"chunks":[128],"allow":[130],"class":[132],"current":[135],"leveraging":[137],"historical":[138],"independently.":[140],"Then,":[141],"domain-wise":[143],"introduced":[147],"combine":[149],"models":[154,164],"select":[156],"useful":[157],"domain.":[161],"The":[162],"updated":[166],"instances":[170],"performed":[171],"by":[172],"proposed":[174,224],"adaptive":[175],"CORrelation":[177],"ALignment":[178],"(AW-CORAL).":[179],"AW-CORAL":[180],"iteratively":[181],"minimizes":[182],"discrepancy":[184],"meanwhile":[185],"decreases":[186],"effect":[188],"unrelated":[190],"instances.":[192],"In":[193],"this":[194],"way,":[195],"positive":[196],"can":[201],"potentially":[203],"promoted":[204],"while":[205],"negative":[206],"reduced.":[209],"Empirical":[210],"studies":[211],"synthetic":[213],"real":[215],"benchmark":[216],"sets":[218],"demonstrate":[219],"effectiveness":[221],"algorithm.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}