{"id":"https://openalex.org/W4398162076","doi":"https://doi.org/10.1109/tai.2024.3403953","title":"ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System Combining Deep and Broad Representations","display_name":"ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System Combining Deep and Broad Representations","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4398162076","doi":"https://doi.org/10.1109/tai.2024.3403953"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3403953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3403953","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial 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/A5101450075","display_name":"Chunyu Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyu Lei","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024136480","display_name":"Jifeng Guo","orcid":"https://orcid.org/0000-0002-8520-3178"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Guo","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101450075"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":5.5854,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96329383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"10","first_page":"5075","last_page":"5089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9966999888420105,"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":0.9966999888420105,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9739000201225281,"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/computer-science","display_name":"Computer science","score":0.5344744324684143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48410165309906006},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4680672883987427},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42345383763313293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344744324684143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48410165309906006},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4680672883987427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42345383763313293}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2024.3403953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3403953","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W180242331","https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W2031878488","https://openalex.org/W2104978738","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2134557905","https://openalex.org/W2162915993","https://openalex.org/W2194775991","https://openalex.org/W2267038056","https://openalex.org/W2412782625","https://openalex.org/W2464755555","https://openalex.org/W2563705555","https://openalex.org/W2738226240","https://openalex.org/W2750384547","https://openalex.org/W2769309986","https://openalex.org/W2890126432","https://openalex.org/W2963037989","https://openalex.org/W2963446712","https://openalex.org/W2965875348","https://openalex.org/W2980627566","https://openalex.org/W3006951794","https://openalex.org/W3032413505","https://openalex.org/W3086971787","https://openalex.org/W3092304970","https://openalex.org/W3098309401","https://openalex.org/W3118608800","https://openalex.org/W3131407372","https://openalex.org/W3135148659","https://openalex.org/W3138794164","https://openalex.org/W3148476366","https://openalex.org/W3153921064","https://openalex.org/W3160971587","https://openalex.org/W3199719302","https://openalex.org/W4246193833","https://openalex.org/W4293363567","https://openalex.org/W4299134858","https://openalex.org/W4385627244","https://openalex.org/W6631711392","https://openalex.org/W6637373629","https://openalex.org/W6676194229","https://openalex.org/W6677919164","https://openalex.org/W6682751323","https://openalex.org/W6683775911","https://openalex.org/W6684191040","https://openalex.org/W6693581965","https://openalex.org/W6743688258","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4226493464","https://openalex.org/W3215138031","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3009238340","https://openalex.org/W3133861977","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911"],"abstract_inverted_index":{"Broad":[0],"learning":[1,29,52,68,202],"system":[2,69],"(BLS)":[3],"has":[4],"to":[5,20,35,116,132,139,149,162,175,213],"undergo":[6],"a":[7,64],"vectorization":[8],"operation":[9],"before":[10],"modeling":[11],"image":[12],"data,":[13],"which":[14,84],"makes":[15],"it":[16],"challenging":[17],"for":[18,206],"BLS":[19],"learn":[21,117,133],"local":[22,143],"semantic":[23,144],"features.":[24,137],"Thus,":[25],"various":[26],"convolutional-based":[27],"broad":[28,67,172],"systems":[30],"(C-BLS)":[31],"have":[32],"been":[33],"introduced":[34],"address":[36],"these":[37],"challenges.":[38],"Regrettably,":[39],"the":[40,73,87,105,108,118,126,130,142,151,155,176,181,185,199,210,219],"existing":[41],"C-BLS":[42],"variants":[43],"either":[44],"lack":[45],"an":[46],"efficient":[47,111,195],"training":[48],"algorithm":[49,77,113,128],"and":[50,78,100,171,180,196,216],"incremental":[51,201],"capability":[53],"or":[54],"suffer":[55],"from":[56],"poor":[57],"performance.":[58],"To":[59],"this":[60],"end,":[61],"we":[62],"propose":[63],"novel":[65],"convolutional":[66,88,92],"(ConvBLS)":[70],"based":[71],"on":[72],"spherical":[74],"K-means":[75],"(SKM)":[76],"two-stage":[79],"multi-scale":[80,166],"(TSMS)":[81],"feature":[82,89,97,152,157],"fusion,":[83],"consists":[85],"of":[86,120,184,221],"layer":[90,94,159,187],"(CFL),":[91],"enhancement":[93],"(CEL),":[95],"TSMS":[96,156],"fusion":[98,158],"layer,":[99],"output":[101,186],"layer.":[102],"First,":[103],"unlike":[104],"current":[106],"C-BLS,":[107],"simple":[109],"yet":[110],"SKM":[112,127],"is":[114,160,193],"utilized":[115],"weights":[119],"CFLs.":[121],"Compared":[122],"with":[123],"random":[124],"filters,":[125],"enables":[129],"CFL":[131],"more":[134,164],"comprehensive":[135],"spatial":[136],"Second,":[138],"further":[140],"mine":[141],"features,":[145],"CELs":[146],"are":[147,204],"established":[148],"expand":[150],"space.":[153],"Third,":[154],"proposed":[161,190],"extract":[163],"effective":[165],"features":[167],"by":[168],"integrating":[169],"deep":[170],"representations.":[173],"Thanks":[174],"above":[177],"elaborate":[178],"design":[179],"pseudo-inverse":[182],"calculation":[183],"weights,":[188],"our":[189,222],"ConvBLS":[191],"method":[192],"unprecedentedly":[194],"effective.":[197],"Finally,":[198],"corresponding":[200],"algorithms":[203],"presented":[205],"rapid":[207],"remodeling":[208],"if":[209],"model":[211],"deems":[212],"expand.":[214],"Experiments":[215],"comparisons":[217],"demonstrate":[218],"superiority":[220],"method.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
