{"id":"https://openalex.org/W4407690673","doi":"https://doi.org/10.1109/tnnls.2025.3525643","title":"PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting","display_name":"PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4407690673","doi":"https://doi.org/10.1109/tnnls.2025.3525643","pmid":"https://pubmed.ncbi.nlm.nih.gov/40036442"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3525643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3525643","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/A5058078141","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0001-9339-1829"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0001-9339-1829","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682848","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0001-7841-7541"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354843","display_name":"Yang Zhang","orcid":"https://orcid.org/0009-0006-3659-2353"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and the Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, Fujian, China","institution_ids":["https://openalex.org/I9356336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71737306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"36","issue":"8","first_page":"15463","last_page":"15475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9417999982833862,"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":0.9417999982833862,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8648518919944763},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6771941184997559},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.62026047706604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5977094769477844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5749731063842773},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5615531802177429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543116927146912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5255169868469238},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06819126009941101},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.04705166816711426},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.04290542006492615}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8648518919944763},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6771941184997559},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.62026047706604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5977094769477844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5749731063842773},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5615531802177429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543116927146912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5255169868469238},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06819126009941101},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.04705166816711426},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.04290542006492615},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3525643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3525643","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:40036442","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40036442","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":[{"score":0.5,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G6716056982","display_name":null,"funder_award_id":"62376114","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W580123053","https://openalex.org/W2008835805","https://openalex.org/W2015648984","https://openalex.org/W2046946959","https://openalex.org/W2095195703","https://openalex.org/W2296073425","https://openalex.org/W2753846453","https://openalex.org/W2898584026","https://openalex.org/W2997488121","https://openalex.org/W3101696129","https://openalex.org/W3133826614","https://openalex.org/W3134418766","https://openalex.org/W3142849873","https://openalex.org/W3160469966","https://openalex.org/W3172611068","https://openalex.org/W3207755942","https://openalex.org/W4205479679","https://openalex.org/W4206965639","https://openalex.org/W4210525258","https://openalex.org/W4226466801","https://openalex.org/W4229000784","https://openalex.org/W4283022089","https://openalex.org/W4285276674","https://openalex.org/W4290716501","https://openalex.org/W4293258807","https://openalex.org/W4295872248","https://openalex.org/W4303627753","https://openalex.org/W4304614160","https://openalex.org/W4307727915","https://openalex.org/W4315481260","https://openalex.org/W4321648234","https://openalex.org/W4353052207","https://openalex.org/W4378417809","https://openalex.org/W4381327774","https://openalex.org/W4392523547","https://openalex.org/W4395056482","https://openalex.org/W4398188204","https://openalex.org/W4400270527","https://openalex.org/W6637699362","https://openalex.org/W6679390333","https://openalex.org/W6685042627","https://openalex.org/W6696851070","https://openalex.org/W6784694379","https://openalex.org/W6798642844","https://openalex.org/W6810433346","https://openalex.org/W6843612585"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W1612029326","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Hierarchical":[0],"feature":[1,82,106],"selection":[2,83,103,107,129],"is":[3,66,131],"considered":[4],"an":[5,76],"effective":[6],"technique":[7],"to":[8,38,41,48,94,181],"reduce":[9],"the":[10,32,46,91,118,145,156,165,169,174,183,186,191,194,200,204],"dimensionality":[11],"of":[12,120,168,185,193,203,209],"data":[13,58],"with":[14,59],"complex":[15,28,57],"hierarchical":[16,29,34,81,105,161],"label":[17,42,64,121,230],"structures.":[18],"Incorrect":[19],"labels":[20],"are":[21],"a":[22,109],"common":[23],"and":[24,44,62,104,123,135,141,151,198,232],"challenging":[25],"issue":[26],"in":[27,55,73,116,228],"data.":[30,98],"However,":[31],"existing":[33],"methods":[35,214],"often":[36],"struggle":[37],"dynamically":[39,89],"adapt":[40],"noise":[43,65,122,231],"lack":[45],"flexibility":[47],"adjust":[49],"sample":[50,78,92,102],"weights.":[51],"Therefore,":[52],"their":[53],"effectiveness":[54,115,227],"managing":[56],"many":[60],"classes":[61],"mitigating":[63],"significantly":[67],"limited.":[68],"To":[69],"address":[70],"these":[71],"issues,":[72],"this":[74],"article,":[75],"adaptive":[77,157],"weighting-based":[79],"progressive":[80,101,128],"(PHFS)":[84],"method":[85],"was":[86,215],"proposed,":[87],"which":[88],"adjusts":[90],"weights":[93,158],"focus":[95],"on":[96,139,155,221],"high-quality":[97],"PHFS":[99,148,177,210],"integrates":[100],"into":[108,133],"unified":[110],"framework,":[111],"thus":[112],"enhancing":[113],"its":[114,226],"reducing":[117,229],"impact":[119,202],"achieving":[124,233],"optimal":[125,234],"performance.":[126,235],"The":[127,207],"process":[130],"divided":[132],"initial":[134,146],"subsequent":[136,175],"stages,":[137,176],"focusing":[138],"correct":[140,152],"incorrect":[142],"samples.":[143,206],"In":[144,173],"stage,":[147],"selects":[149],"valuable":[150],"samples":[153,197],"based":[154],"calculated":[159],"through":[160],"classification":[162],"feedback,":[163],"maximizing":[164],"guiding":[166],"effect":[167],"correctly":[170,187],"labeled":[171,188],"examples.":[172],"uses":[178],"matrix":[179],"factorization":[180],"preserve":[182],"structure":[184],"samples,":[189],"preventing":[190],"forgetting":[192],"early":[195],"selected":[196],"minimizing":[199],"negative":[201],"mislabelled":[205],"superiority":[208],"over":[211],"13":[212],"state-of-the-art":[213],"demonstrated":[216],"by":[217],"performing":[218],"extensive":[219],"experiments":[220],"eight":[222],"real-world":[223],"datasets,":[224],"highlighting":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}