{"id":"https://openalex.org/W4361769692","doi":"https://doi.org/10.1109/tetci.2023.3251400","title":"Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification","display_name":"Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361769692","doi":"https://doi.org/10.1109/tetci.2023.3251400"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2023.3251400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3251400","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/A5043291162","display_name":"Poly Z. H. Sun","orcid":"https://orcid.org/0000-0001-6156-1766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Poly Z. H. Sun","raw_affiliation_strings":["Department of Industrial Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6156-1766","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078422165","display_name":"Tienyu Zuo","orcid":"https://orcid.org/0000-0002-7049-6430"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Yu Zuo","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science & Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7049-6430","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005460332","display_name":"Rob Law","orcid":"https://orcid.org/0000-0001-7199-3757"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Rob Law","raw_affiliation_strings":["Asia-Pacific Academy of Economics and Management; Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Macau, China","Asia-Pacific Academy of Economics and Management"],"raw_orcid":"https://orcid.org/0000-0001-7199-3757","affiliations":[{"raw_affiliation_string":"Asia-Pacific Academy of Economics and Management; Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"Asia-Pacific Academy of Economics and Management","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110956301","display_name":"Edmond Q. Wu","orcid":"https://orcid.org/0000-0003-1301-9870"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Edmond Q. Wu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-9870","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1982-6780","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9579,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88608628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":"5","first_page":"1394","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9539999961853027,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7991296052932739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175556421279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705102920532227},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6273007988929749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5942907333374023},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5736054182052612},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5133846998214722},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4602111876010895},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.45779070258140564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41253456473350525},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.3989183306694031}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7991296052932739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175556421279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705102920532227},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6273007988929749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5942907333374023},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5736054182052612},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5133846998214722},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4602111876010895},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.45779070258140564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41253456473350525},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.3989183306694031}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2023.3251400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3251400","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/G2609112615","display_name":null,"funder_award_id":"LY23F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W586780102","https://openalex.org/W1100975233","https://openalex.org/W1550861865","https://openalex.org/W1966748751","https://openalex.org/W1975412991","https://openalex.org/W1987769400","https://openalex.org/W1987860477","https://openalex.org/W2010839146","https://openalex.org/W2012117566","https://openalex.org/W2029896651","https://openalex.org/W2032225949","https://openalex.org/W2078885513","https://openalex.org/W2087787741","https://openalex.org/W2093773675","https://openalex.org/W2104167780","https://openalex.org/W2118978333","https://openalex.org/W2119498311","https://openalex.org/W2148143831","https://openalex.org/W2164330572","https://openalex.org/W2165910495","https://openalex.org/W2192249782","https://openalex.org/W2204679745","https://openalex.org/W2309023520","https://openalex.org/W2462401346","https://openalex.org/W2488522966","https://openalex.org/W2562319768","https://openalex.org/W2604968786","https://openalex.org/W2766448712","https://openalex.org/W2895814777","https://openalex.org/W2913306795","https://openalex.org/W2915788561","https://openalex.org/W2928408182","https://openalex.org/W2953961724","https://openalex.org/W2963566126","https://openalex.org/W2963596856","https://openalex.org/W2964050365","https://openalex.org/W2967733054","https://openalex.org/W2983727864","https://openalex.org/W3034654297","https://openalex.org/W3113001100","https://openalex.org/W3178420124","https://openalex.org/W3192682950","https://openalex.org/W3192856315","https://openalex.org/W3202701980","https://openalex.org/W3206974103","https://openalex.org/W4212883601","https://openalex.org/W4213413679","https://openalex.org/W4232478844","https://openalex.org/W4283027263"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2968660735","https://openalex.org/W2245276335","https://openalex.org/W1760344465","https://openalex.org/W1985828740","https://openalex.org/W4205397888","https://openalex.org/W3094789558","https://openalex.org/W4388700830"],"abstract_inverted_index":{"Imbalanced":[0],"data":[1],"is":[2,59,72,82,107,141],"a":[3,37,86,127],"major":[4],"challenge":[5],"in":[6,19,29,44,93],"classification":[7,10,96],"tasks.":[8],"Most":[9],"algorithms":[11],"tend":[12],"to":[13,25,84,109],"be":[14],"biased":[15],"toward":[16],"the":[17,20,27,30,50,53,57,65,69,77,111,119,132,149],"samples":[18,28],"majority":[21],"class":[22],"but":[23],"fail":[24],"classify":[26],"minority":[31],"class.":[32],"Recently,":[33],"ensemble":[34,58,137],"learning,":[35],"as":[36,131],"promising":[38],"method,":[39],"has":[40],"been":[41],"rapidly":[42],"developed":[43,142],"solving":[45],"highly":[46,94,144],"imbalanced":[47,95,145],"classification.":[48,146],"However,":[49],"design":[51,91,105,112],"of":[52,68,89,113,151],"base":[54,70,115,133],"classifier":[55,71,103,134],"for":[56,118,143,157],"still":[60],"an":[61,123],"open":[62],"question":[63],"because":[64],"optimization":[66,90,104],"problem":[67],"gradientless.":[73],"In":[74,121],"this":[75],"study,":[76],"evolutionary":[78],"algorithm":[79],"(EA)":[80],"technique":[81],"adopted":[83],"solve":[85],"wide":[87],"range":[88],"problems":[92],"without":[97],"gradient":[98],"information.":[99],"A":[100],"novel":[101],"EA-based":[102],"method":[106,125],"proposed":[108],"optimize":[110],"multiple":[114],"classifiers":[116],"automatically":[117],"ensemble.":[120],"particular,":[122],"EA":[124,139],"with":[126,138],"neural":[128],"network":[129],"(NN)":[130],"termed":[135],"NN":[136],"(NNEAE)":[140],"To":[147],"verify":[148],"performance":[150],"NNEAE,":[152],"extensive":[153],"experiments":[154],"are":[155],"designed":[156],"testing.":[158],"Results":[159],"illustrate":[160],"that":[161],"NNEAE":[162],"outperforms":[163],"other":[164],"compared":[165],"methods.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}