{"id":"https://openalex.org/W1647550023","doi":"https://doi.org/10.1109/ijcnn.2015.7280373","title":"A Multi-label feature selection algorithm based on multi-objective optimization","display_name":"A Multi-label feature selection algorithm based on multi-objective optimization","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1647550023","doi":"https://doi.org/10.1109/ijcnn.2015.7280373","mag":"1647550023"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5103889777","display_name":"Jing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yin","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109057022","display_name":"Tengfei Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Tao","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699455","display_name":"Jianhua Xu","orcid":"https://orcid.org/0000-0001-6134-4833"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Xu","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Jiangsu 210023, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103889777"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":4.9088,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95248034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.97079998254776,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9648000001907349,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.723152756690979},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.657616376876831},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6540141701698303},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6372953653335571},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.606229841709137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965821146965027},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5631695985794067},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.551111102104187},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.532464325428009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5077925324440002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47839057445526123},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4479243755340576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44480499625205994},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4373052716255188},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.43680480122566223},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3896370232105255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3653321862220764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3584495782852173},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08913159370422363}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.723152756690979},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.657616376876831},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6540141701698303},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6372953653335571},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.606229841709137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965821146965027},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5631695985794067},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.551111102104187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.532464325428009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5077925324440002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47839057445526123},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4479243755340576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44480499625205994},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4373052716255188},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.43680480122566223},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3896370232105255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3653321862220764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3584495782852173},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08913159370422363},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W137009209","https://openalex.org/W1970696760","https://openalex.org/W2017337590","https://openalex.org/W2029657028","https://openalex.org/W2044170702","https://openalex.org/W2046592845","https://openalex.org/W2052684427","https://openalex.org/W2063249739","https://openalex.org/W2069928051","https://openalex.org/W2093238926","https://openalex.org/W2096086009","https://openalex.org/W2107372416","https://openalex.org/W2114315281","https://openalex.org/W2119466907","https://openalex.org/W2126105956","https://openalex.org/W2145827727","https://openalex.org/W2150102617","https://openalex.org/W2156935079","https://openalex.org/W2165766797","https://openalex.org/W2166840159","https://openalex.org/W2296415870","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6681875376","https://openalex.org/W6683944004","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2146076056","https://openalex.org/W2353567328","https://openalex.org/W2254323784","https://openalex.org/W4225307033","https://openalex.org/W2155880659","https://openalex.org/W2124900067","https://openalex.org/W2027717478","https://openalex.org/W2339674921","https://openalex.org/W2159118812","https://openalex.org/W1647550023"],"abstract_inverted_index":{"Multi-label":[0],"performance":[1,135],"evaluation":[2],"metrics":[3],"could":[4,131],"be":[5],"mainly":[6],"grouped":[7],"into":[8],"two":[9,59],"parts:":[10],"ranking-based":[11],"and":[12,25,40,70,110],"instance-based.":[13],"The":[14,28],"former":[15],"is":[16,30,43],"based":[17],"on":[18],"discriminant":[19,51],"function":[20,52],"values":[21],"(e.g.,":[22,37],"average":[23,107],"precision":[24,108],"ranking":[26],"loss).":[27],"latter":[29],"associated":[31],"with":[32,62],"predicted":[33],"relevant":[34],"label":[35],"subsets":[36],"Hamming":[38,112],"loss":[39,113],"accuracy),":[41],"which":[42],"determined":[44],"via":[45],"a":[46,77,118,133],"proper":[47],"threshold":[48],"from":[49],"the":[50,68,137],"values.":[53],"Firstly,":[54],"we":[55,98],"show":[56],"that":[57,128],"such":[58],"parts":[60],"conflict":[61],"each":[63],"other":[64,138],"possibly":[65],"according":[66],"to":[67,85,105,116],"theoretical":[69],"experimental":[71],"analysis":[72],"in":[73],"this":[74,91],"study.":[75],"Therefore":[76],"multi-label":[78],"wrapper":[79],"feature":[80,120],"selection":[81,121],"method":[82,130],"essentially":[83],"needs":[84],"optimize":[86],"multiple":[87],"objective":[88],"functions.":[89],"In":[90],"paper,":[92],"given":[93],"multilabel":[94,124],"k-nearest":[95],"neighbour":[96],"method,":[97],"utilize":[99],"evolutionary":[100],"multiobjective":[101],"optimization":[102],"algorithm":[103],"(NSGA-II)":[104],"maximize":[106],"metric":[109],"minimize":[111],"one":[114],"simultaneously,":[115],"construct":[117],"novel":[119],"approach":[122],"for":[123],"classification.":[125],"Experiments":[126],"illustrate":[127],"our":[129],"achieve":[132],"better":[134],"than":[136],"existing":[139],"techniques.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
