{"id":"https://openalex.org/W3109641518","doi":"https://doi.org/10.1109/tcyb.2020.3031832","title":"Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation","display_name":"Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3109641518","doi":"https://doi.org/10.1109/tcyb.2020.3031832","mag":"3109641518","pmid":"https://pubmed.ncbi.nlm.nih.gov/33259312"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3031832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3031832","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5049838944","display_name":"Jianghong Ma","orcid":"https://orcid.org/0000-0002-0524-3584"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianghong Ma","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0524-3584","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051126889","display_name":"Bernard Chiu","orcid":"https://orcid.org/0000-0001-5237-2410"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bernard Chi Yuen Chiu","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5237-2410","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050716572","display_name":"Tommy W. S. Chow","orcid":"https://orcid.org/0000-0001-7051-0434"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tommy W. S. Chow","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7051-0434","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7603,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.88396739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"6","first_page":"4596","last_page":"4610"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9541000127792358,"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/exploit","display_name":"Exploit","score":0.7334538698196411},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6937114596366882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6860708594322205},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6653892993927002},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6479966044425964},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6162125468254089},{"id":"https://openalex.org/keywords/extant-taxon","display_name":"Extant taxon","score":0.6023407578468323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5855953693389893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5704942345619202},{"id":"https://openalex.org/keywords/group-selection","display_name":"Group selection","score":0.4730115234851837},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.46207597851753235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4481661021709442},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44611480832099915},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4221121370792389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2511986494064331}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7334538698196411},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6937114596366882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6860708594322205},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6653892993927002},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6479966044425964},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6162125468254089},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.6023407578468323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5855953693389893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5704942345619202},{"id":"https://openalex.org/C51520907","wikidata":"https://www.wikidata.org/wiki/Q874437","display_name":"Group selection","level":3,"score":0.4730115234851837},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.46207597851753235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4481661021709442},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44611480832099915},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4221121370792389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2511986494064331},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3031832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3031832","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33259312","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33259312","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G6312162160","display_name":null,"funder_award_id":"9042996","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W19842529","https://openalex.org/W138520209","https://openalex.org/W146853821","https://openalex.org/W193238823","https://openalex.org/W1565746575","https://openalex.org/W1567302070","https://openalex.org/W1661871015","https://openalex.org/W1953606363","https://openalex.org/W1970696760","https://openalex.org/W1990519701","https://openalex.org/W1999954155","https://openalex.org/W2042759724","https://openalex.org/W2044170702","https://openalex.org/W2052684427","https://openalex.org/W2068512396","https://openalex.org/W2077945429","https://openalex.org/W2090630554","https://openalex.org/W2102705755","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2148484209","https://openalex.org/W2156935079","https://openalex.org/W2162280103","https://openalex.org/W2166912588","https://openalex.org/W2171837816","https://openalex.org/W2176228818","https://openalex.org/W2194775991","https://openalex.org/W2199530896","https://openalex.org/W2208165150","https://openalex.org/W2244035566","https://openalex.org/W2343475530","https://openalex.org/W2473021150","https://openalex.org/W2519969774","https://openalex.org/W2575139015","https://openalex.org/W2588628126","https://openalex.org/W2605997098","https://openalex.org/W2669889762","https://openalex.org/W2750785001","https://openalex.org/W2784178186","https://openalex.org/W2949481297","https://openalex.org/W2963745697","https://openalex.org/W2969932435","https://openalex.org/W4232706428","https://openalex.org/W4236362309","https://openalex.org/W4248524623","https://openalex.org/W6600868370","https://openalex.org/W6605651121","https://openalex.org/W6636914306","https://openalex.org/W6677758222","https://openalex.org/W6685347822","https://openalex.org/W6732103313","https://openalex.org/W6767588897"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W1972401983"],"abstract_inverted_index":{"Multilabel":[0],"learning,":[1],"which":[2,26,49],"handles":[3],"instances":[4,65,95,115,139],"associated":[5],"with":[6,84],"multiple":[7],"labels,":[8],"has":[9],"attracted":[10],"much":[11],"attention":[12],"in":[13,116],"recent":[14],"years.":[15],"Many":[16],"extant":[17,41],"multilabel":[18,42,185],"feature":[19,24,28,69,86,104,126],"selection":[20,29,70,87,105,127,133],"methods":[21,44],"target":[22],"global":[23,46],"selection,":[25,48],"means":[27,50],"weights":[30,71,106],"for":[31,153],"each":[32,154],"label":[33,47,74,90,108],"are":[34,53,180],"shared":[35,54,113],"by":[36,55,114,143,161],"all":[37,56],"instances.":[38,57],"Also,":[39],"many":[40],"classification":[43],"exploit":[45,170],"labels":[51,152],"correlations":[52,109,179],"In":[58,76,166],"real-world":[59],"objects,":[60],"however,":[61],"different":[62,68,73,100,141],"subsets":[63],"of":[64,177,196],"may":[66],"share":[67],"and":[72,88,102,107,129],"correlations.":[75],"this":[77],"article,":[78],"we":[79,93,168],"propose":[80],"a":[81,124,130],"novel":[82],"framework":[83,122],"local":[85,89],"correlation,":[91],"where":[92],"assume":[94],"can":[96,110],"be":[97,112],"clustered":[98],"into":[99,140],"groups,":[101],"the":[103,117,145,163,171,194],"only":[111],"same":[118],"group.":[119],"The":[120,135,148,187],"proposed":[121],"includes":[123],"group-specific":[125],"process":[128,137,150],"label-specific":[131],"group":[132],"process.":[134],"former":[136],"projects":[138],"groups":[142,160],"extracting":[144,162],"instance-group":[146],"correlation.":[147,165,173],"latter":[149],"selects":[151],"instance":[155],"based":[156],"on":[157,190],"its":[158],"related":[159],"group-label":[164],"addition,":[167],"also":[169],"intergroup":[172],"These":[174],"three":[175],"kinds":[176],"group-based":[178],"combined":[181],"to":[182],"perform":[183],"effective":[184],"classification.":[186],"experimental":[188],"results":[189],"various":[191],"datasets":[192],"validate":[193],"effectiveness":[195],"our":[197],"approach.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}