{"id":"https://openalex.org/W4313525651","doi":"https://doi.org/10.1109/bibm55620.2022.9994976","title":"An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification","display_name":"An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525651","doi":"https://doi.org/10.1109/bibm55620.2022.9994976"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994976","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994976","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100337924","display_name":"Zhiyuan Li","orcid":"https://orcid.org/0000-0001-8446-0319"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Yuan Li","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026569643","display_name":"Ying-Lian Gao","orcid":"https://orcid.org/0000-0003-0483-5622"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Lian Gao","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025837007","display_name":"Zhen-Xin Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Xin Niu","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011951772","display_name":"Shasha Yuan","orcid":"https://orcid.org/0000-0003-4792-9880"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha-Sha Yuan","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064185915","display_name":"Chun-Hou Zheng","orcid":"https://orcid.org/0000-0002-2695-1926"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Hou Zheng","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Xing Liu","raw_affiliation_strings":["Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qufu Normal University,The School of Computer Science,Rizhao,Shandong,China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"The School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18722344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2088","last_page":"2094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9900000095367432,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7877612709999084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7171921730041504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589800715446472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520904302597046},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6420702934265137},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5762767791748047},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5570305585861206},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5424824357032776},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.537470281124115},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5149865746498108},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48970726132392883},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.48438936471939087},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43953990936279297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35143494606018066},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2384682595729828},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20123791694641113},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14188098907470703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1202421486377716}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7877612709999084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7171921730041504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589800715446472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520904302597046},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6420702934265137},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5762767791748047},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5570305585861206},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5424824357032776},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.537470281124115},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5149865746498108},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48970726132392883},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.48438936471939087},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43953990936279297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35143494606018066},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2384682595729828},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20123791694641113},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14188098907470703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1202421486377716},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9994976","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994976","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1983874169","https://openalex.org/W2017212187","https://openalex.org/W2026131661","https://openalex.org/W2042184006","https://openalex.org/W2086409142","https://openalex.org/W2087161104","https://openalex.org/W2099502830","https://openalex.org/W2134603844","https://openalex.org/W2138260443","https://openalex.org/W2138505220","https://openalex.org/W2329659234","https://openalex.org/W2500157231","https://openalex.org/W2998553334","https://openalex.org/W3006772423","https://openalex.org/W3035846893","https://openalex.org/W3039923895","https://openalex.org/W3120740533","https://openalex.org/W3172304411","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W2593908734","https://openalex.org/W2384408398","https://openalex.org/W4221107122","https://openalex.org/W2098028537","https://openalex.org/W4375846106","https://openalex.org/W2140869420","https://openalex.org/W2804516791","https://openalex.org/W2999533062","https://openalex.org/W4312290701","https://openalex.org/W2399572917"],"abstract_inverted_index":{"Ensemble":[0],"learning":[1,13],"is":[2,115,151],"to":[3,9,62,117],"train":[4],"and":[5,24,60,81,90,127,140,176,179,197],"combine":[6],"multiple":[7],"learners":[8],"complete":[10],"the":[11,18,21,32,35,38,44,55,68,73,77,98,101,109,124,155,158,161,168,187],"corresponding":[12],"tasks.":[14],"It":[15,153],"can":[16,29],"improve":[17,31],"stability":[19,110,156],"of":[20,34,43,47,58,67,87,111,137,157,163,181],"overall":[22],"model,":[23],"a":[25,64,83,128],"good":[26],"ensemble":[27,164],"method":[28],"further":[30],"accuracy":[33,196],"model.":[36],"At":[37],"same":[39],"time,":[40],"as":[41],"one":[42],"outstanding":[45],"representatives":[46],"machine":[48],"learning,":[49],"Extreme":[50,93,144],"Learning":[51,94,145],"Machine":[52,95,146],"has":[53,190],"attracted":[54],"continuous":[56],"attention":[57],"experts":[59],"scholars.":[61],"get":[63],"better":[65],"representation":[66],"feature":[69],"space,":[70],"we":[71,122,184],"extend":[72],"Gaussian":[74],"kernel":[75,78,89,139],"in":[76,100,194],"risk-sensitive":[79],"loss":[80],"propose":[82],"Kernel":[84,134],"Risk-Sensitive":[85,135],"Loss":[86,136],"q-Gaussian":[88,138],"Hyper-graph":[91,141],"Regularized":[92,142],"method.":[96],"Since":[97],"contingency":[99],"ELM":[102,113,130],"training":[103],"process":[104],"cannot":[105],"be":[106],"completely":[107],"avoided,":[108],"most":[112],"methods":[114],"affected":[116],"some":[118],"extent.":[119],"What\u2019s":[120],"more,":[121],"introduce":[123],"voting":[125],"mechanism":[126],"new":[129,169,188],"classification":[131,195],"model":[132,159,170,189],"named":[133],"Integrated":[143],"based":[147],"on":[148,171],"Voting":[149],"Mechanism":[150],"proposed.":[152],"improves":[154],"through":[160,177],"idea":[162],"learning.":[165],"We":[166],"apply":[167],"six":[172],"real":[173],"data":[174],"sets,":[175],"observation":[178],"analysis":[180],"experimental":[182],"results,":[183],"find":[185],"that":[186],"certain":[191],"competitiveness,":[192],"especially":[193],"stability.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}