{"id":"https://openalex.org/W4407168631","doi":"https://doi.org/10.1109/tai.2025.3538549","title":"A Novel Recursive Ensemble Feature Selection Framework for High-Dimensional Data","display_name":"A Novel Recursive Ensemble Feature Selection Framework for High-Dimensional Data","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407168631","doi":"https://doi.org/10.1109/tai.2025.3538549"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3538549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3538549","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5061819607","display_name":"Xiaojian Ding","orcid":"https://orcid.org/0000-0002-5276-7727"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojian Ding","raw_affiliation_strings":["College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5276-7727","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085247060","display_name":"Zihan Xu","orcid":"https://orcid.org/0009-0002-0514-6255"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Xu","raw_affiliation_strings":["College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-0514-6255","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi Li","orcid":"https://orcid.org/0009-0007-7303-7305"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["College of Economics and Management, Nanjing Agricultural University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0007-7303-7305","affiliations":[{"raw_affiliation_string":"College of Economics and Management, Nanjing Agricultural University, Nanjing, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101901188","display_name":"Fumin Ma","orcid":"https://orcid.org/0000-0002-6572-9391"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Ma","raw_affiliation_strings":["College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6572-9391","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633489","display_name":"Shilin Chen","orcid":"https://orcid.org/0000-0003-3680-9066"},"institutions":[{"id":"https://openalex.org/I4210128482","display_name":"Jiangsu Cancer Hospital","ror":"https://ror.org/03108sf43","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128482"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Chen","raw_affiliation_strings":["Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China","Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-3680-9066","affiliations":[{"raw_affiliation_string":"Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China","institution_ids":["https://openalex.org/I4210128482"]},{"raw_affiliation_string":"Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I4210128482","https://openalex.org/I83519826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061819607"],"corresponding_institution_ids":["https://openalex.org/I137056471"],"apc_list":null,"apc_paid":null,"fwci":4.3465,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93116045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"6","issue":"8","first_page":"2098","last_page":"2109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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":0.9927999973297119,"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/feature-selection","display_name":"Feature selection","score":0.7751058340072632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5921740531921387},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5851796269416809},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5321345329284668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186833143234253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4927065670490265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35106661915779114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3241056799888611},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32298168540000916}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7751058340072632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5921740531921387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5851796269416809},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5321345329284668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186833143234253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4927065670490265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35106661915779114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3241056799888611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32298168540000916},{"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":1,"locations":[{"id":"doi:10.1109/tai.2025.3538549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3538549","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6129999961","display_name":null,"funder_award_id":"BE2021001-4","funder_id":"https://openalex.org/F4320327777","funder_display_name":"Jiangsu Provincial Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320327777","display_name":"Jiangsu Provincial Key Research and Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W116615339","https://openalex.org/W1992018127","https://openalex.org/W2026131661","https://openalex.org/W2061692200","https://openalex.org/W2072020668","https://openalex.org/W2087721252","https://openalex.org/W2103291381","https://openalex.org/W2111072639","https://openalex.org/W2123822128","https://openalex.org/W2149775297","https://openalex.org/W2157490046","https://openalex.org/W2162142896","https://openalex.org/W2170584976","https://openalex.org/W2329587067","https://openalex.org/W2386210108","https://openalex.org/W2408246687","https://openalex.org/W2525549348","https://openalex.org/W2549481570","https://openalex.org/W2593914038","https://openalex.org/W2606929086","https://openalex.org/W2891288832","https://openalex.org/W2966111606","https://openalex.org/W2974300506","https://openalex.org/W2997488121","https://openalex.org/W3017261075","https://openalex.org/W3034167140","https://openalex.org/W3034712888","https://openalex.org/W3137614377","https://openalex.org/W3138880491","https://openalex.org/W3170968284","https://openalex.org/W3203526420","https://openalex.org/W3208192327","https://openalex.org/W4205955193","https://openalex.org/W4210276279","https://openalex.org/W4221064141","https://openalex.org/W4224238337","https://openalex.org/W4294218543","https://openalex.org/W4296268039","https://openalex.org/W4309947341","https://openalex.org/W4380201950","https://openalex.org/W4381952928","https://openalex.org/W4388440524","https://openalex.org/W4388914323","https://openalex.org/W4392611984","https://openalex.org/W4393053121","https://openalex.org/W4394803574"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Ensemble":[0,47],"feature":[1,4,16,75,83,122,164],"selection":[2],"combines":[3],"subsets":[5],"with":[6],"diversity,":[7],"potentially":[8],"providing":[9],"a":[10,44,73,89,103,157],"better":[11],"approximation":[12],"of":[13,98,139],"the":[14,33,57,96,152,167],"optimal":[15],"subset.":[17],"While":[18],"extensive":[19],"research":[20],"has":[21],"focused":[22],"on":[23,126],"enhancing":[24],"diversity":[25,55,91,150],"among":[26],"ensemble":[27],"members,":[28],"its":[29],"critical":[30],"role":[31],"during":[32],"aggregation":[34,58,105,153],"process":[35],"remains":[36],"underexplored.":[37],"To":[38],"address":[39],"this":[40],"gap,":[41],"we":[42],"propose":[43],"novel":[45],"Recursive":[46],"Feature":[48],"Selection":[49],"(REFS)":[50],"framework":[51,67],"that":[52,108,131],"explicitly":[53,148],"incorporates":[54],"into":[56,151],"phase":[59],"to":[60,79,94,117,144,163],"improve":[61],"both":[62],"robustness":[63],"and":[64,101,114,142,160],"accuracy.":[65],"The":[66],"comprises":[68],"three":[69],"key":[70],"components:":[71],"1)":[72],"randomization-based":[74],"mapping":[76],"strategy":[77],"(RS)":[78],"generate":[80],"diverse":[81,174],"base":[82],"selectors":[84],"optimized":[85],"for":[86,169],"performance;":[87],"2)":[88],"quantitative":[90],"metric":[92],"(DM)":[93],"evaluate":[95],"complementarity":[97],"these":[99],"selectors;":[100],"3)":[102],"fuzzy":[104],"(FA)":[106],"method":[107],"leverages":[109],"order":[110],"statistics,":[111],"rank":[112],"scores,":[113],"weight":[115],"information":[116],"effectively":[118],"integrate":[119],"multiple":[120],"ranked":[121],"lists.":[123],"Experimental":[124],"evaluations":[125],"fifteen":[127],"real-world":[128],"datasets":[129],"demonstrate":[130],"REFS":[132,155],"consistently":[133],"outperforms":[134],"competitive":[135],"methods":[136],"in":[137],"terms":[138],"classification":[140],"accuracy":[141],"resilience":[143],"parameter":[145],"variations.":[146],"By":[147],"integrating":[149],"process,":[154],"provides":[156],"more":[158],"comprehensive":[159],"effective":[161],"approach":[162],"selection,":[165],"paving":[166],"way":[168],"improved":[170],"predictive":[171],"performance":[172],"across":[173],"applications.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
