{"id":"https://openalex.org/W4285158419","doi":"https://doi.org/10.1109/tnnls.2022.3184846","title":"BASS: Broad Network Based on Localized Stochastic Sensitivity","display_name":"BASS: Broad Network Based on Localized Stochastic Sensitivity","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4285158419","doi":"https://doi.org/10.1109/tnnls.2022.3184846","pmid":"https://pubmed.ncbi.nlm.nih.gov/35830397"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3184846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3184846","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100427914","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0001-9357-4238"},"institutions":[{"id":"https://openalex.org/I4210116575","display_name":"Guangzhou First People's Hospital","ror":"https://ror.org/02bwytq13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116575"]},{"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"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9357-4238","affiliations":[{"raw_affiliation_string":"Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210116575","https://openalex.org/I90610280","https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432825","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0009-0005-2291-5089"},"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":"Mingyang Zhang","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 Laboratory, Guangzhou, China"],"raw_orcid":null,"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 Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081237276","display_name":"Jianjun Zhang","orcid":"https://orcid.org/0000-0001-9133-4994"},"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":"Jianjun Zhang","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 Laboratory, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9133-4994","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 Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"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":"Wing W. Y. Ng","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 Laboratory, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0783-3585","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 Laboratory, 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/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]},{"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":["Brain and Affective Cognitive Research Center, Pazhou Laboratory, Guangzhou, China","Navigation College, Dalian Maritime University, Dalian, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Laboratory, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"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":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5799,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71247764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"2","first_page":"1681","last_page":"1695"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/bass","display_name":"Bass (fish)","score":0.799356997013092},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5183407068252563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3385493755340576},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.33829569816589355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32102853059768677},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.243840754032135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13929811120033264},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.06437736749649048}],"concepts":[{"id":"https://openalex.org/C2777182073","wikidata":"https://www.wikidata.org/wiki/Q1224135","display_name":"Bass (fish)","level":2,"score":0.799356997013092},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5183407068252563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3385493755340576},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.33829569816589355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32102853059768677},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.243840754032135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13929811120033264},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.06437736749649048}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3184846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3184846","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35830397","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35830397","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6110184698","display_name":null,"funder_award_id":"2021M700930","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6185284941","display_name":null,"funder_award_id":"61876066","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1601795611","https://openalex.org/W1849277567","https://openalex.org/W1986278072","https://openalex.org/W2100495367","https://openalex.org/W2109574129","https://openalex.org/W2123223828","https://openalex.org/W2135160607","https://openalex.org/W2136922672","https://openalex.org/W2171604354","https://openalex.org/W2187089797","https://openalex.org/W2336750633","https://openalex.org/W2618530766","https://openalex.org/W2738226240","https://openalex.org/W2887576641","https://openalex.org/W2888109343","https://openalex.org/W2889731581","https://openalex.org/W2890126432","https://openalex.org/W2890706287","https://openalex.org/W2895874728","https://openalex.org/W2907345037","https://openalex.org/W2947320005","https://openalex.org/W2956830112","https://openalex.org/W2965875348","https://openalex.org/W2970007912","https://openalex.org/W2970155929","https://openalex.org/W2971513790","https://openalex.org/W2972985782","https://openalex.org/W2984769036","https://openalex.org/W2993548219","https://openalex.org/W2997574889","https://openalex.org/W3003134479","https://openalex.org/W3004042354","https://openalex.org/W3007551217","https://openalex.org/W3012854509","https://openalex.org/W3013482090","https://openalex.org/W3027374032","https://openalex.org/W3033811744","https://openalex.org/W3033882778","https://openalex.org/W3036559724","https://openalex.org/W3044136336","https://openalex.org/W3045432329","https://openalex.org/W3096193467","https://openalex.org/W3103064492","https://openalex.org/W3115913152","https://openalex.org/W3133025401","https://openalex.org/W3136378322","https://openalex.org/W3137724529","https://openalex.org/W3141495342","https://openalex.org/W3149292000","https://openalex.org/W3153653334","https://openalex.org/W3171854525","https://openalex.org/W3180811329","https://openalex.org/W4210466371","https://openalex.org/W4212774754","https://openalex.org/W6681096077","https://openalex.org/W6796931752","https://openalex.org/W6810127701"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W587891163","https://openalex.org/W1991830762","https://openalex.org/W2782013024","https://openalex.org/W2011560150","https://openalex.org/W2076114088","https://openalex.org/W2494322668","https://openalex.org/W2134105472","https://openalex.org/W611295337"],"abstract_inverted_index":{"The":[0,84],"training":[1,21,107],"of":[2,12,19,38,74,106,114,156],"the":[3,10,17,33,72,93,111,139,148,153,157,199],"standard":[4],"broad":[5,61],"learning":[6,126],"system":[7],"(BLS)":[8],"concerns":[9],"optimization":[11],"its":[13],"output":[14],"weights":[15],"via":[16],"minimization":[18],"both":[20],"mean":[22],"square":[23],"error":[24],"(MSE)":[25],"and":[26,36,43,120,175],"a":[27,60,80,103],"penalty":[28],"term.":[29],"However,":[30],"it":[31],"degrades":[32],"generalization":[34,112],"capability":[35,113],"robustness":[37,96],"BLS":[39],"when":[40,47,134],"facing":[41],"complex":[42],"noisy":[44,119],"environments,":[45],"especially":[46],"small":[48],"perturbations":[49,78],"or":[50,76,138],"noise":[51,75,95],"appear":[52],"in":[53,92,192],"input":[54,77],"data.":[55,122],"Therefore,":[56],"this":[57],"work":[58],"proposes":[59],"network":[62,140],"based":[63],"on":[64,162,172,198],"localized":[65,85],"stochastic":[66,86],"sensitivity":[67,87],"(BASS)":[68],"algorithm":[69],"to":[70,118,130,143,152,186,194],"tackle":[71],"issue":[73],"from":[79],"local":[81],"perturbation":[82],"perspective.":[83],"(LSS)":[88],"prompts":[89],"an":[90],"increase":[91],"network's":[94],"by":[97],"considering":[98],"unseen":[99],"samples":[100,136],"located":[101],"within":[102],"Q":[104],"-neighborhood":[105],"samples,":[108],"which":[109],"enhances":[110],"BASS":[115,132,168,180],"with":[116],"respect":[117],"perturbed":[121],"Then,":[123],"three":[124],"incremental":[125],"algorithms":[127],"are":[128],"derived":[129],"update":[131],"quickly":[133],"new":[135],"arrive":[137],"is":[141],"deemed":[142],"be":[144],"expanded,":[145],"without":[146],"retraining":[147],"entire":[149],"model.":[150],"Due":[151],"inherent":[154],"superiorities":[155],"LSS,":[158],"extensive":[159],"experimental":[160],"results":[161],"13":[163],"benchmark":[164],"datasets":[165],"show":[166],"that":[167],"yields":[169],"better":[170],"accuracies":[171],"various":[173],"regression":[174],"classification":[176],"problems.":[177],"For":[178],"instance,":[179],"uses":[181],"fewer":[182],"parameters":[183],"(12.6":[184],"million)":[185,197],"yield":[187],"1%":[188],"higher":[189],"Top-1":[190],"accuracy":[191],"comparison":[193],"AlexNet":[195],"(60":[196],"large-scale":[200],"ImageNet":[201],"(ILSVRC2012)":[202],"dataset.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}