{"id":"https://openalex.org/W2603744087","doi":"https://doi.org/10.1142/s1469026817500043","title":"Recursive Feature Elimination with Ensemble Learning Using SOM Variants","display_name":"Recursive Feature Elimination with Ensemble Learning Using SOM Variants","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2603744087","doi":"https://doi.org/10.1142/s1469026817500043","mag":"2603744087"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026817500043","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026817500043","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5050540650","display_name":"Ameni Filali","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ameni Filali","raw_affiliation_strings":["Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050520709","display_name":"Chiraz Jlassi","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Chiraz Jlassi","raw_affiliation_strings":["Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057921627","display_name":"Najet Arous","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Najet Arous","raw_affiliation_strings":["Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory LIMTIC, Higher Institute of Computer Science, University of Tunis El Manar, 2 Rue Abou Raihan El Bayrouni, 2080 Ariana, Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050540650"],"corresponding_institution_ids":["https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.2706,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61775032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"01","first_page":"1750004","last_page":"1750004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958999752998352,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.8314329981803894},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6766184568405151},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6563563346862793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5852238535881042},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5660194754600525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5598691701889038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545107126235962},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.519178032875061},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5138257145881653},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4662451148033142},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4396843910217285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41761934757232666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40050387382507324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11489114165306091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8314329981803894},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6766184568405151},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6563563346862793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5852238535881042},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5660194754600525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5598691701889038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545107126235962},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.519178032875061},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5138257145881653},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4662451148033142},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4396843910217285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41761934757232666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40050387382507324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11489114165306091},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026817500043","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026817500043","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W141062567","https://openalex.org/W750609461","https://openalex.org/W1539187029","https://openalex.org/W1565746575","https://openalex.org/W1575403013","https://openalex.org/W1679913846","https://openalex.org/W1966990998","https://openalex.org/W1986691909","https://openalex.org/W2001281158","https://openalex.org/W2009501510","https://openalex.org/W2026535637","https://openalex.org/W2059216481","https://openalex.org/W2068852101","https://openalex.org/W2080028048","https://openalex.org/W2084028080","https://openalex.org/W2096044434","https://openalex.org/W2099322651","https://openalex.org/W2100805904","https://openalex.org/W2107208924","https://openalex.org/W2109094355","https://openalex.org/W2111238045","https://openalex.org/W2113242816","https://openalex.org/W2114390898","https://openalex.org/W2126185804","https://openalex.org/W2128873747","https://openalex.org/W2129187754","https://openalex.org/W2129793592","https://openalex.org/W2131012384","https://openalex.org/W2132379769","https://openalex.org/W2133097426","https://openalex.org/W2139280638","https://openalex.org/W2141729166","https://openalex.org/W2149620660","https://openalex.org/W2149870286","https://openalex.org/W2150757437","https://openalex.org/W2152761983","https://openalex.org/W2158933803","https://openalex.org/W2165250079","https://openalex.org/W2167044614","https://openalex.org/W2171837816","https://openalex.org/W2188723048","https://openalex.org/W2195453971","https://openalex.org/W2595697910","https://openalex.org/W2911964244","https://openalex.org/W4212883601","https://openalex.org/W4213332169","https://openalex.org/W4244313837","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W4281917970","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W2106235829","https://openalex.org/W2117019857"],"abstract_inverted_index":{"To":[0],"uncover":[1],"an":[2],"appropriate":[3],"latent":[4],"subspace":[5],"for":[6,132],"data":[7],"representation,":[8],"we":[9],"propose":[10],"in":[11,89,135],"this":[12],"paper":[13],"a":[14,47,56,61,78,95],"new":[15],"extension":[16],"of":[17,49,91,99,128],"the":[18,25,42,124,129],"random":[19,62],"forests":[20],"method":[21,131],"which":[22],"leads":[23],"to":[24,86],"unsupervised":[26],"feature":[27,44,80,133],"selection":[28,134],"called":[29],"Feature":[30],"Selection":[31],"with":[32,77,94,137],"Random":[33],"Forests":[34],"(RFS)":[35],"based":[36],"on":[37,69,104],"SOM":[38],"variants":[39],"that":[40,74],"evaluates":[41],"out-of-bag":[43],"importance":[45],"from":[46],"set":[48],"partitions.":[50],"Every":[51],"partition":[52],"is":[53],"created":[54],"using":[55],"several":[57],"bootstrap":[58],"samples":[59],"and":[60,114,120,126],"features":[63],"subset.":[64],"We":[65],"obtain":[66],"empirical":[67],"results":[68,119],"19":[70],"benchmark":[71],"datasets":[72],"specifying":[73],"RFS,":[75],"boosted":[76],"recursive":[79],"elimination":[81],"(RFE)":[82],"method,":[83],"can":[84],"lead":[85],"important":[87],"enhancement":[88],"terms":[90],"clustering":[92],"accuracy":[93],"very":[96],"restricted":[97],"subset":[98],"features.":[100],"Simulations":[101],"are":[102],"performed":[103],"nine":[105],"different":[106],"benchmarks,":[107],"including":[108],"face":[109],"data,":[110,113],"handwritten":[111],"digit":[112],"document":[115],"data.":[116],"Promising":[117],"experimental":[118],"theoretical":[121],"analysis":[122],"prove":[123],"efficiency":[125],"effectiveness":[127],"proposed":[130],"comparison":[136],"competitive":[138],"representative":[139],"algorithms.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
