{"id":"https://openalex.org/W3046531075","doi":"https://doi.org/10.1155/2020/8829432","title":"A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence","display_name":"A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3046531075","doi":"https://doi.org/10.1155/2020/8829432","mag":"3046531075"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8829432","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8829432","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8829432.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2020/8829432.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080701169","display_name":"Shuyue Zhou","orcid":"https://orcid.org/0000-0002-2355-3738"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyue Zhou","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"raw_orcid":"https://orcid.org/0000-0002-2355-3738","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318737","display_name":"Xiaobo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]},{"id":"https://openalex.org/I3129496460","display_name":"Lishui University","ror":"https://ror.org/0418kp584","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129496460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobo Li","raw_affiliation_strings":["College of Engineering, Lishui University, Lishui 323000, China","College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China"],"raw_orcid":"https://orcid.org/0000-0001-8343-3124","affiliations":[{"raw_affiliation_string":"College of Engineering, Lishui University, Lishui 323000, China","institution_ids":["https://openalex.org/I3129496460"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077542599","display_name":"Yihong Dong","orcid":"https://orcid.org/0000-0002-6048-2377"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Dong","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101448006","display_name":"Hao Xu","orcid":"https://orcid.org/0000-0002-6627-4528"},"institutions":[{"id":"https://openalex.org/I3129496460","display_name":"Lishui University","ror":"https://ror.org/0418kp584","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129496460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["College of Engineering, Lishui University, Lishui 323000, China"],"raw_orcid":"https://orcid.org/0000-0002-6627-4528","affiliations":[{"raw_affiliation_string":"College of Engineering, Lishui University, Lishui 323000, China","institution_ids":["https://openalex.org/I3129496460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100318737"],"corresponding_institution_ids":["https://openalex.org/I135237710","https://openalex.org/I3129496460"],"apc_list":{"value":1800,"currency":"USD","value_usd":2000},"apc_paid":{"value":1800,"currency":"USD","value_usd":2000},"fwci":0.8043,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79285804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/overfitting","display_name":"Overfitting","score":0.8313571214675903},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8231532573699951},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.8049025535583496},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7410922050476074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829257011413574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5869607925415039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.559044361114502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45981866121292114},{"id":"https://openalex.org/keywords/information-loss","display_name":"Information loss","score":0.4550512731075287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3388424515724182},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12679973244667053}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8313571214675903},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8231532573699951},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8049025535583496},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7410922050476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829257011413574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5869607925415039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.559044361114502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45981866121292114},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.4550512731075287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3388424515724182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12679973244667053},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/8829432","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8829432","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8829432.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:537edf1749ac4251a06e946574eee329","is_oa":false,"landing_page_url":"https://doaj.org/article/537edf1749ac4251a06e946574eee329","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2020/8829432","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8829432","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2020/8829432","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8829432","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8829432.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1310581042","display_name":null,"funder_award_id":"61373057","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4153811458","display_name":"\u8bc6\u522b\u80bf\u7624\u57fa\u56e0\u6807\u5fd7\u7269\u7684\u8ba1\u7b97\u65b9\u6cd5\u53ca\u5e94\u7528","funder_award_id":"61373057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G472912535","display_name":null,"funder_award_id":"2019RC05","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5312834320","display_name":null,"funder_award_id":"LY20F020009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6456508925","display_name":null,"funder_award_id":"LY20F020009","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6817779856","display_name":null,"funder_award_id":"2019RC05","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"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046531075.pdf","grobid_xml":"https://content.openalex.org/works/W3046531075.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1941659294","https://openalex.org/W1986572138","https://openalex.org/W2052684427","https://openalex.org/W2074888575","https://openalex.org/W2087787741","https://openalex.org/W2099454382","https://openalex.org/W2117190680","https://openalex.org/W2133223948","https://openalex.org/W2137107481","https://openalex.org/W2145827727","https://openalex.org/W2156935079","https://openalex.org/W2169937061","https://openalex.org/W2307589391","https://openalex.org/W2511835277","https://openalex.org/W2513061279","https://openalex.org/W2531607313","https://openalex.org/W2606280330","https://openalex.org/W2608270353","https://openalex.org/W2754319208","https://openalex.org/W2756357106","https://openalex.org/W2928048063","https://openalex.org/W3025519219"],"related_works":["https://openalex.org/W32988189","https://openalex.org/W4308469503","https://openalex.org/W2904737874","https://openalex.org/W80466363","https://openalex.org/W4389233021","https://openalex.org/W2399571531","https://openalex.org/W2947132063","https://openalex.org/W4390415670","https://openalex.org/W2023639956","https://openalex.org/W3188632291"],"abstract_inverted_index":{"Label":[0],"imbalance":[1],"is":[2,152],"one":[3,92],"of":[4,7,17,63,76,96,114,132,150,159,177,186],"the":[5,15,18,37,56,60,74,94,109,112,129,133,135,156,160,163,175,178],"characteristics":[6],"multilabel":[8,21,89,171],"data,":[9],"and":[10,47,66,107,117,125,189],"imbalanced":[11,31],"data":[12,38,161],"seriously":[13],"affects":[14,73],"performance":[16,75],"classifiers.":[19],"In":[20,78],"classification,":[22],"resampling":[23,34,85,151,164],"methods":[24,35],"are":[25,144],"mostly":[26],"used":[27],"to":[28,87,146,154],"deal":[29],"with":[30,183],"problems.":[32],"Existing":[33],"balance":[36],"by":[39,101,122],"either":[40],"undersampling":[41],"or":[42],"oversampling,":[43],"which":[44],"causes":[45],"overfitting":[46,118],"information":[48,116],"loss.":[49],"Resampling":[50],"has":[51],"a":[52,83],"significant":[53],"impact":[54,140],"on":[55,108,141,168,181],"minority":[57,67,130,142,190],"labels.":[58,191],"Furthermore,":[59],"high":[61,184],"concurrency":[62,95,185],"majority":[64,187],"labels":[65,68,97,131,143,188],"in":[69],"many":[70],"instances":[71,136],"also":[72],"classification.":[77],"this":[79],"study,":[80],"we":[81],"proposed":[82],"bidirectional":[84],"method":[86],"decouple":[88],"datasets.":[90],"On":[91],"hand,":[93,111],"can":[98,119],"be":[99,120],"reduced":[100],"setting":[102],"termination":[103],"conditions":[104],"for":[105],"decoupling,":[106],"other":[110],"loss":[113],"instance":[115],"alleviated":[121],"combining":[123],"oversampling":[124],"undersampling.":[126],"By":[127],"measuring":[128],"instances,":[134],"that":[137],"have":[138,173],"less":[139],"selected":[145],"resample.":[147],"The":[148,166],"number":[149],"limited":[153],"keep":[155],"original":[157],"distribution":[158],"during":[162],"phase.":[165],"experiments":[167],"seven":[169],"benchmark":[170],"datasets":[172,182],"proved":[174],"effectiveness":[176],"algorithm,":[179],"especially":[180]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
