{"id":"https://openalex.org/W4402557595","doi":"https://doi.org/10.1109/tnnls.2024.3454598","title":"Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification","display_name":"Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4402557595","doi":"https://doi.org/10.1109/tnnls.2024.3454598","pmid":"https://pubmed.ncbi.nlm.nih.gov/39288037"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3454598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3454598","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/A5085041050","display_name":"Bin-Bin Jia","orcid":"https://orcid.org/0000-0003-3302-9398"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin-Bin Jia","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3302-9398","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643973","display_name":"Jun-Ying Liu","orcid":"https://orcid.org/0000-0002-4615-0915"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Ying Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4615-0915","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079083101","display_name":"Min-Ling Zhang","orcid":"https://orcid.org/0000-0003-1880-5918"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min-Ling Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1880-5918","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5029353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"36","issue":"6","first_page":"11298","last_page":"11312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.7360000014305115,"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":0.7360000014305115,"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":0.6539000272750854,"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/decoding-methods","display_name":"Decoding methods","score":0.6308590173721313},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6035599112510681},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5778560042381287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5300478935241699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47312086820602417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44717147946357727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32685762643814087},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17667284607887268},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13487032055854797}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6308590173721313},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6035599112510681},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5778560042381287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5300478935241699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47312086820602417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44717147946357727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32685762643814087},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17667284607887268},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13487032055854797},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3454598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3454598","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:39288037","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39288037","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":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4170822555","display_name":null,"funder_award_id":"62306131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8117561889","display_name":null,"funder_award_id":"62225602","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W252878706","https://openalex.org/W1522547150","https://openalex.org/W1602492977","https://openalex.org/W1676820704","https://openalex.org/W1981401636","https://openalex.org/W1981863521","https://openalex.org/W2005051678","https://openalex.org/W2026357342","https://openalex.org/W2040466852","https://openalex.org/W2045031708","https://openalex.org/W2098368939","https://openalex.org/W2114315281","https://openalex.org/W2132423576","https://openalex.org/W2133436028","https://openalex.org/W2142827986","https://openalex.org/W2144463230","https://openalex.org/W2144562310","https://openalex.org/W2166912588","https://openalex.org/W2170981964","https://openalex.org/W2172000360","https://openalex.org/W2527197720","https://openalex.org/W2563977364","https://openalex.org/W2733555913","https://openalex.org/W2751563217","https://openalex.org/W2767245172","https://openalex.org/W2799900537","https://openalex.org/W2883637031","https://openalex.org/W2917837129","https://openalex.org/W2978347073","https://openalex.org/W2997546679","https://openalex.org/W3025623013","https://openalex.org/W3030741042","https://openalex.org/W3036661175","https://openalex.org/W3038588235","https://openalex.org/W3046434075","https://openalex.org/W3083591059","https://openalex.org/W3096412097","https://openalex.org/W3098277806","https://openalex.org/W3099852169","https://openalex.org/W3129401410","https://openalex.org/W3159864239","https://openalex.org/W3197269428","https://openalex.org/W3198636227","https://openalex.org/W3204404063","https://openalex.org/W3204589526","https://openalex.org/W3205749498","https://openalex.org/W3214322470","https://openalex.org/W3215002760","https://openalex.org/W4200431022","https://openalex.org/W4207005938","https://openalex.org/W4232533539","https://openalex.org/W4239510810","https://openalex.org/W4240268957","https://openalex.org/W4280616225","https://openalex.org/W4281778856","https://openalex.org/W4287887094","https://openalex.org/W4293055827","https://openalex.org/W4307112082","https://openalex.org/W4311037942","https://openalex.org/W4315784260","https://openalex.org/W4316369370","https://openalex.org/W4365385099","https://openalex.org/W4382567938","https://openalex.org/W4383497770","https://openalex.org/W4383876991","https://openalex.org/W4386066414","https://openalex.org/W4386583484","https://openalex.org/W4389077474","https://openalex.org/W4394586028","https://openalex.org/W4394595135","https://openalex.org/W4395056595","https://openalex.org/W4400015995","https://openalex.org/W6635310694","https://openalex.org/W6677041463","https://openalex.org/W6677656871","https://openalex.org/W6849599708","https://openalex.org/W6874599369"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W2542937328"],"abstract_inverted_index":{"Multiclass":[0],"classification":[1,14,141],"problems":[2],"are":[3],"often":[4],"addressed":[5],"by":[6],"decomposing":[7],"them":[8],"into":[9],"a":[10,39,136],"set":[11],"of":[12,26,52,82,106,121,146,160],"binary":[13,31,54,84,108],"tasks.":[15],"A":[16],"critical":[17],"step":[18],"in":[19,110],"this":[20,67],"approach":[21],"is":[22,99],"the":[23,35,48,79,104,107,112,119,122,144,158,161],"effective":[24],"aggregation":[25],"predictions":[27],"from":[28],"each":[29,53,83],"decomposed":[30],"classifier":[32,55,85,109],"to":[33,63,102,150],"yield":[34],"final":[36,114],"multiclass":[37,140],"prediction,":[38],"process":[40],"known":[41],"as":[42,135],"decoding.":[43],"Existing":[44],"studies":[45,155],"have":[46],"ignored":[47],"varying":[49],"generalization":[50,80,97],"ability":[51,81,98],"across":[56],"different":[57],"samples":[58],"during":[59],"decoding,":[60],"potentially":[61],"leading":[62],"suboptimal":[64],"performance.":[65,153],"In":[66],"article,":[68],"we":[69,127],"propose":[70],"an":[71],"instance-specific":[72],"loss-weighted":[73],"(ILW)":[74],"decoding":[75,124,148],"strategy":[76,149],"that":[77,129],"gauges":[78],"for":[86],"one":[87],"specific":[88],"sample":[89],"based":[90],"on":[91],"its":[92,152,166],"neighboring":[93],"samples.":[94],"This":[95],"estimated":[96],"then":[100],"used":[101],"adjust":[103],"importance":[105],"determining":[111],"sample's":[113],"prediction.":[115],"Experimental":[116],"results":[117],"validate":[118],"effectiveness":[120],"ILW":[123],"strategy.":[125],"Furthermore,":[126],"demonstrate":[128,157],"softmax":[130,163],"regression":[131,164],"can":[132],"be":[133],"reinterpreted":[134],"one-versus-rest":[137],"(OvR)":[138],"decomposition-based":[139],"algorithm,":[142],"enabling":[143],"application":[145],"our":[147],"enhance":[151],"Comparative":[154],"clearly":[156],"superiority":[159],"improved":[162],"over":[165],"traditional":[167],"counterpart.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
