{"id":"https://openalex.org/W4412042575","doi":"https://doi.org/10.1007/s11063-025-11783-5","title":"Generalized Adaptive Huber Loss Driven Robust Twin Support Vector Machine Learning Framework for Pattern Classification","display_name":"Generalized Adaptive Huber Loss Driven Robust Twin Support Vector Machine Learning Framework for Pattern Classification","publication_year":2025,"publication_date":"2025-07-05","ids":{"openalex":"https://openalex.org/W4412042575","doi":"https://doi.org/10.1007/s11063-025-11783-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-025-11783-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11783-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11783-5.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11783-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087144373","display_name":"Tiantian Jiang","orcid":"https://orcid.org/0000-0002-9492-9341"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Jiang","raw_affiliation_strings":["School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083707253","display_name":"Bo Wei","orcid":"https://orcid.org/0000-0002-0781-9655"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Wei","raw_affiliation_strings":["School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076538595","display_name":"Guolin Yu","orcid":"https://orcid.org/0000-0003-4729-7748"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolin Yu","raw_affiliation_strings":["School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071376438","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0002-5263-1870"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ma","raw_affiliation_strings":["School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Sciences, North Minzu University, Yinchuan, 750021, P.R. China","institution_ids":["https://openalex.org/I3019309368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083707253"],"corresponding_institution_ids":["https://openalex.org/I3019309368"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.1832,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88282041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"57","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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/T12676","display_name":"Machine Learning and ELM","score":0.9940999746322632,"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/computational-intelligence","display_name":"Computational intelligence","score":0.6913723945617676},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6886502504348755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5636097192764282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5427780747413635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4936319589614868},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49339309334754944},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.4347345232963562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4275122582912445}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6913723945617676},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6886502504348755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636097192764282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5427780747413635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4936319589614868},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49339309334754944},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4347345232963562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4275122582912445},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-025-11783-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11783-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11783-5.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-025-11783-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-025-11783-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-025-11783-5.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1819250203","display_name":null,"funder_award_id":"12361062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2556025005","display_name":null,"funder_award_id":"2022BSB03046","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"},{"id":"https://openalex.org/G2881086398","display_name":null,"funder_award_id":"62366001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2894951137","display_name":null,"funder_award_id":"(No.62366001, No.12361062)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6061451327","display_name":null,"funder_award_id":"2023ZRLG01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6558487549","display_name":null,"funder_award_id":"2023ZRLG01","funder_id":"https://openalex.org/F4320327619","funder_display_name":"North Minzu University"},{"id":"https://openalex.org/G8217285324","display_name":null,"funder_award_id":"2023AAC02053","funder_id":"https://openalex.org/F4320322877","funder_display_name":"Natural Science Foundation of Ningxia Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322877","display_name":"Natural Science Foundation of Ningxia Province","ror":null},{"id":"https://openalex.org/F4320327619","display_name":"North Minzu University","ror":null},{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412042575.pdf","grobid_xml":"https://content.openalex.org/works/W4412042575.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1532905117","https://openalex.org/W1991043035","https://openalex.org/W2017719067","https://openalex.org/W2019184604","https://openalex.org/W2091672503","https://openalex.org/W2136627475","https://openalex.org/W2137664016","https://openalex.org/W2147454001","https://openalex.org/W2166765763","https://openalex.org/W2170860445","https://openalex.org/W2343106965","https://openalex.org/W2534814571","https://openalex.org/W2761818166","https://openalex.org/W2901312699","https://openalex.org/W2912497862","https://openalex.org/W2915184413","https://openalex.org/W2947539368","https://openalex.org/W2969377063","https://openalex.org/W2990924040","https://openalex.org/W3003912395","https://openalex.org/W3005356130","https://openalex.org/W3047949561","https://openalex.org/W3123060271","https://openalex.org/W3193635602","https://openalex.org/W3195682066","https://openalex.org/W4205342811","https://openalex.org/W4281641105","https://openalex.org/W4306318661","https://openalex.org/W4318052387","https://openalex.org/W4376274284","https://openalex.org/W4382360363","https://openalex.org/W4388991394","https://openalex.org/W4391304743","https://openalex.org/W4392474078","https://openalex.org/W4396570424","https://openalex.org/W4399210538","https://openalex.org/W4399992405","https://openalex.org/W4400383011","https://openalex.org/W4402673377","https://openalex.org/W4403243371","https://openalex.org/W4404893165","https://openalex.org/W4405717477"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2770593030","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W4210814276"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,38,43,48,56,61,64,88,91,100,129,145,162,166,174,183],"problem":[3,186],"that":[4,95],"traditional":[6],"Twin":[7],"Support":[8],"Vector":[9],"Machine":[10],"(TSVM)":[11],"is":[12,78,105,118,155],"sensitive":[13],"to":[14,80,107,114,158,182],"noise":[15,104,126,131,167,189],"and":[16,59,85,110,139,154,168,177],"outliers,":[17],"this":[18],"paper":[19],"proposes":[20],"a":[21,136],"twin":[22],"support":[23],"vector":[24],"machine":[25],"model":[26,44,65,163],"based":[27],"on":[28,55,150],"generalized":[29],"adaptive":[30],"Huber":[31],"loss":[32],"function":[33],"(GAHTSVM).":[34],"Via":[35],"dynamically":[36,172],"adjusting":[37,173],"robust":[39],"parameters":[40],"$$s$$":[41],",":[42],"can":[45],"effectively":[46,164],"suppress":[47],"adverse":[49],"effects":[50],"of":[51,63,90],"noisy":[52],"data":[53],"points":[54],"decision":[57],"function,":[58],"improve":[60,87],"sparsity":[62],"by":[66,171],"introducing":[67],"insensitive":[68],"region":[69],"design.":[70],"For":[71],"non-convex":[72],"optimization":[73],"problems,":[74],"concave-convex":[75],"process":[76],"(CCCP)":[77],"adopted":[79],"avoid":[81],"quadratic":[82],"programming":[83],"problems":[84],"significantly":[86,119,156],"efficiency":[89],"algorithm.":[92],"Experiments":[93],"show":[94],"GAHTSVM":[96],"performs":[97,148],"well":[98,149],"in":[99,124,144,187],"scenarios":[101],"where":[102],"Gaussian":[103],"added":[106],"real-world":[108],"datasets":[109,141,153],"outliers":[111],"are":[112,142],"introduced":[113],"artificial":[115,152],"datasets:":[116],"it":[117,133],"better":[120],"than":[121],"other":[122,159],"algorithms":[123],"low":[125],"environment;":[127],"In":[128],"high":[130,188],"environment,":[132],"still":[134],"maintains":[135],"leading":[137],"position,":[138],"most":[140],"ranked":[143],"top;":[146],"It":[147],"two":[151],"superior":[157],"algorithms.In":[160],"conclusion,":[161],"overcomes":[165],"outlier":[169,175],"interference":[170],"penalty,":[176],"provides":[178],"an":[179],"efficient":[180],"solution":[181],"pattern":[184],"recognition":[185],"environment.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}