{"id":"https://openalex.org/W3078630981","doi":"https://doi.org/10.1109/iske47853.2019.9170459","title":"Evolutionary-Based Weighted Broad Learning System for Imbalanced Learning","display_name":"Evolutionary-Based Weighted Broad Learning System for Imbalanced Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3078630981","doi":"https://doi.org/10.1109/iske47853.2019.9170459","mag":"3078630981"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103921965","display_name":"Tianlun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlun Zhang","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658046","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-7680-4959"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418997","display_name":"Rong Chen","orcid":"https://orcid.org/0000-0001-5848-6398"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Chen","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.4374,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69523425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"607","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"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":0.9958000183105469,"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/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.7078437209129333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.629021406173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134839653968811},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6029922962188721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5284751653671265},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45607832074165344},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.448327898979187},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43013638257980347},{"id":"https://openalex.org/keywords/rule-of-thumb","display_name":"Rule of thumb","score":0.42180928587913513},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39133551716804504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18462765216827393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1741631031036377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078437209129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.629021406173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134839653968811},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6029922962188721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5284751653671265},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45607832074165344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.448327898979187},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43013638257980347},{"id":"https://openalex.org/C89246107","wikidata":"https://www.wikidata.org/wiki/Q1398821","display_name":"Rule of thumb","level":2,"score":0.42180928587913513},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39133551716804504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18462765216827393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1741631031036377},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W146076398","https://openalex.org/W167016754","https://openalex.org/W586780102","https://openalex.org/W639708223","https://openalex.org/W1100975233","https://openalex.org/W1588282782","https://openalex.org/W1696243063","https://openalex.org/W1968005908","https://openalex.org/W1988520084","https://openalex.org/W1993220166","https://openalex.org/W2023639956","https://openalex.org/W2024199384","https://openalex.org/W2085306757","https://openalex.org/W2087787741","https://openalex.org/W2119191234","https://openalex.org/W2127265926","https://openalex.org/W2137029138","https://openalex.org/W2148143831","https://openalex.org/W2163667253","https://openalex.org/W2247512861","https://openalex.org/W2471161958","https://openalex.org/W2523592132","https://openalex.org/W2605977208","https://openalex.org/W2738226240","https://openalex.org/W2740702290","https://openalex.org/W2756688796","https://openalex.org/W2786622092","https://openalex.org/W2887576641","https://openalex.org/W2889731581","https://openalex.org/W2890126432","https://openalex.org/W2963695615","https://openalex.org/W2964050365","https://openalex.org/W2964313743","https://openalex.org/W6637510311","https://openalex.org/W6678917918","https://openalex.org/W6683897285","https://openalex.org/W6691203646","https://openalex.org/W6748230616"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2950805198","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"As":[0,23],"a":[1,24,63,93],"novel":[2],"family":[3],"of":[4,14,26,49,89,108,128],"connectionist":[5],"model,":[6],"broad":[7],"learning":[8,66],"system":[9],"(BLS)":[10],"with":[11,56,167],"the":[12,30,47,77,87,110,125,129,134,155,160,168],"form":[13,127],"flat":[15],"structure":[16],"is":[17],"established":[18],"for":[19,72],"broadly-fused":[20],"feature":[21],"representation.":[22],"result":[25],"two":[27],"assumptions,":[28],"namely,":[29],"same":[31],"misclassification":[32,70],"cost":[33,130],"and":[34,75,151],"balanced":[35],"class":[36],"distribution,":[37],"BLS":[38,61,112],"usually":[39],"fails":[40],"to":[41,124,140],"achieve":[42],"favorable":[43],"classification":[44,65,79],"performance":[45],"in":[46,118],"presence":[48],"severely":[50],"skewed":[51],"category":[52],"distribution.":[53],"To":[54,81],"deal":[55],"this":[57],"problem,":[58,96],"we":[59,85,132],"develop":[60],"as":[62,92],"cost-sensitive":[64],"that":[67,159],"assigns":[68],"different":[69,73],"costs":[71],"categories,":[74],"minimizes":[76],"cumulative":[78],"cost.":[80],"be":[82,99,141],"more":[83],"actionable,":[84],"formulate":[86],"setting":[88],"penalty":[90],"factors":[91],"multi-objective":[94],"optimization":[95,135],"which":[97],"can":[98,113],"solved":[100],"by":[101],"an":[102,119],"evaluation":[103],"algorithms.":[104],"Thus,":[105],"without":[106],"rules":[107],"thumb,":[109],"proposed":[111,161],"address":[114],"various":[115],"imbalanced":[116,171],"tasks":[117],"adaptive":[120],"manner.":[121],"Moreover,":[122],"due":[123],"sparse":[126],"matrix":[131],"design,":[133],"problem":[136],"has":[137],"less":[138],"objectives":[139],"solved.":[142],"Comprehensive":[143],"experiments":[144],"have":[145],"been":[146],"conducted":[147],"on":[148],"several":[149],"benchmark":[150],"real-world":[152],"data":[153],"sets,":[154],"experimental":[156],"results":[157,165],"show":[158],"method":[162],"achieves":[163],"competitive":[164],"compared":[166],"existing":[169],"state-of-the-art":[170],"learning.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}