{"id":"https://openalex.org/W4386265939","doi":"https://doi.org/10.1109/tetci.2023.3306232","title":"A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance","display_name":"A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance","publication_year":2023,"publication_date":"2023-08-29","ids":{"openalex":"https://openalex.org/W4386265939","doi":"https://doi.org/10.1109/tetci.2023.3306232"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2023.3306232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3306232","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5048941279","display_name":"Qiongdan Lou","orcid":"https://orcid.org/0000-0002-5931-5694"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qiongdan Lou","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042607110","display_name":"Zhaohong Deng","orcid":"https://orcid.org/0000-0002-0790-6492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaohong Deng","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011122706","display_name":"Qingbing Sang","orcid":"https://orcid.org/0000-0001-7384-1650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingbing Sang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603146","display_name":"Zhiyong Xiao","orcid":"https://orcid.org/0000-0003-3187-1629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyong Xiao","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048680068","display_name":"Kup\u2010Sze Choi","orcid":"https://orcid.org/0000-0003-0836-7088"},"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":"Kup-Sze Choi","raw_affiliation_strings":["Centre for Smart Health, Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Centre for Smart Health, Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003183751","display_name":"Shitong Wang","orcid":"https://orcid.org/0000-0002-8393-6554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shitong Wang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Wuxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048941279"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71410806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"8","issue":"1","first_page":"454","last_page":"473"},"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":0.9696999788284302,"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":0.9656000137329102,"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/computer-science","display_name":"Computer science","score":0.7166463732719421},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6518911123275757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330339312553406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5805104374885559},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5482922792434692},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5437906384468079},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5111532807350159},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4777452349662781},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4511108994483948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44137200713157654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38276898860931396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1694718897342682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166463732719421},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6518911123275757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330339312553406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5805104374885559},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5482922792434692},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5437906384468079},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5111532807350159},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4777452349662781},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4511108994483948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44137200713157654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38276898860931396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1694718897342682},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2023.3306232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3306232","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2278947543","display_name":null,"funder_award_id":"62176105","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W201238001","https://openalex.org/W1565746575","https://openalex.org/W1592096085","https://openalex.org/W1986159170","https://openalex.org/W1990030293","https://openalex.org/W1999954155","https://openalex.org/W2033029203","https://openalex.org/W2052684427","https://openalex.org/W2058465495","https://openalex.org/W2063687591","https://openalex.org/W2066340877","https://openalex.org/W2084126977","https://openalex.org/W2099330554","https://openalex.org/W2114315281","https://openalex.org/W2119466907","https://openalex.org/W2132300288","https://openalex.org/W2138290126","https://openalex.org/W2141738323","https://openalex.org/W2241072627","https://openalex.org/W2315271685","https://openalex.org/W2343174050","https://openalex.org/W2343475530","https://openalex.org/W2570805434","https://openalex.org/W2584922303","https://openalex.org/W2605997098","https://openalex.org/W2610086231","https://openalex.org/W2643413515","https://openalex.org/W2750599140","https://openalex.org/W2788764852","https://openalex.org/W2804031762","https://openalex.org/W2810229480","https://openalex.org/W2884164164","https://openalex.org/W2885692647","https://openalex.org/W2887269903","https://openalex.org/W2895646357","https://openalex.org/W2899156457","https://openalex.org/W2910944446","https://openalex.org/W2911424083","https://openalex.org/W2914532822","https://openalex.org/W2914580435","https://openalex.org/W2945031581","https://openalex.org/W2945976633","https://openalex.org/W2948447329","https://openalex.org/W2969932435","https://openalex.org/W2990720125","https://openalex.org/W2999184988","https://openalex.org/W3007788930","https://openalex.org/W3008335143","https://openalex.org/W3017133192","https://openalex.org/W3023208803","https://openalex.org/W3026763995","https://openalex.org/W3046330465","https://openalex.org/W3081802893","https://openalex.org/W3087348787","https://openalex.org/W3089903851","https://openalex.org/W3093347455","https://openalex.org/W3101643310","https://openalex.org/W3109641518","https://openalex.org/W3119154203","https://openalex.org/W3127668069","https://openalex.org/W3128609022","https://openalex.org/W3133128010","https://openalex.org/W3135745701","https://openalex.org/W3142256053","https://openalex.org/W3165691894","https://openalex.org/W3169047433","https://openalex.org/W3176893347","https://openalex.org/W3198485504","https://openalex.org/W3204664402","https://openalex.org/W3205749498","https://openalex.org/W3212676748","https://openalex.org/W4200397820","https://openalex.org/W4220755141","https://openalex.org/W4221012116","https://openalex.org/W4221032765","https://openalex.org/W4225854131","https://openalex.org/W4226013657","https://openalex.org/W4293254708","https://openalex.org/W4306914171","https://openalex.org/W4308462854","https://openalex.org/W4312815374","https://openalex.org/W4312938052","https://openalex.org/W4313427337","https://openalex.org/W4317796340","https://openalex.org/W4319786510","https://openalex.org/W4367320996","https://openalex.org/W6605651121","https://openalex.org/W6652451885","https://openalex.org/W6689624327","https://openalex.org/W6767249749"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072"],"abstract_inverted_index":{"Model":[0],"transparency,":[1],"label":[2,8,45,53,124],"correlation":[3,116],"learning":[4,46,118],"and":[5,91,126],"robustness":[6],"to":[7,48,83,105,135],"noise":[9,54],"are":[10,133],"crucial":[11],"for":[12],"multilabel":[13,32,102,111],"learning.":[14],"However,":[15],"few":[16],"existing":[17,101],"methods":[18],"consider":[19],"these":[20],"three":[21,38],"characteristics":[22],"simultaneously.":[23],"To":[24],"address":[25],"this":[26],"challenge,":[27],"we":[28,41,113],"propose":[29],"the":[30,50,58,65,68,80,86,108,122,127,137,140],"robust":[31],"Takagi-Sugeno-Kang":[33],"fuzzy":[34,128],"system":[35],"(R-MLTSK-FS)":[36],"with":[37],"mechanisms.":[39,71],"First,":[40],"design":[42],"a":[43,95,115],"soft":[44,92,123],"mechanism":[47,119],"reduce":[49],"effect":[51],"of":[52,67,110,139],"by":[55],"explicitly":[56],"measuring":[57],"interactions":[59],"between":[60,89],"labels,":[61],"which":[62],"is":[63,77],"also":[64],"basis":[66],"other":[69],"two":[70],"Second,":[72],"rule-based":[73],"multi-output":[74],"TSK":[75],"FS":[76],"used":[78],"as":[79],"base":[81],"model":[82,85],"efficiently":[84],"inference":[87],"relationship":[88],"features":[90],"labels":[93],"in":[94],"more":[96],"transparent":[97],"way":[98],"than":[99],"many":[100],"models.":[103],"Third,":[104],"further":[106],"improve":[107],"performance":[109],"learning,":[112],"build":[114],"enhancement":[117],"based":[120],"on":[121],"space":[125],"feature":[129],"space.":[130],"Extensive":[131],"experiments":[132],"conducted":[134],"demonstrate":[136],"superiority":[138],"proposed":[141],"method.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}