{"id":"https://openalex.org/W7155105587","doi":"https://doi.org/10.1007/s40314-026-03681-w","title":"Stability-ranked feature selection for classification in high-dimensional data: combining regularization and machine learning algorithms","display_name":"Stability-ranked feature selection for classification in high-dimensional data: combining regularization and machine learning algorithms","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155105587","doi":"https://doi.org/10.1007/s40314-026-03681-w"},"language":"en","primary_location":{"id":"doi:10.1007/s40314-026-03681-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s40314-026-03681-w","pdf_url":null,"source":{"id":"https://openalex.org/S4210195884","display_name":"Computational and Applied Mathematics","issn_l":"0101-8205","issn":["0101-8205","1807-0302","2238-3603"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Applied Mathematics","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/A5129622960","display_name":"Mohammad Kazemi","orcid":null},"institutions":[{"id":"https://openalex.org/I877176835","display_name":"University of Guilan","ror":"https://ror.org/01bdr6121","country_code":"IR","type":"education","lineage":["https://openalex.org/I877176835"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Kazemi","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran"],"raw_orcid":"https://orcid.org/0000-0002-9042-6552","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran","institution_ids":["https://openalex.org/I877176835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120569521","display_name":"Amirhossein Khadivi Noghredeh","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I877176835","display_name":"University of Guilan","ror":"https://ror.org/01bdr6121","country_code":"IR","type":"education","lineage":["https://openalex.org/I877176835"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amirhossein Khadivi Noghredeh","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran","School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran","institution_ids":["https://openalex.org/I877176835"]},{"raw_affiliation_string":"School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5129622960"],"corresponding_institution_ids":["https://openalex.org/I877176835"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47878695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"8","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":0.6283000111579895,"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":0.6283000111579895,"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/T10136","display_name":"Statistical Methods and Inference","score":0.08500000089406967,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.03519999980926514,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8102999925613403},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5817999839782715},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5800999999046326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5418000221252441},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.5006999969482422},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4952000081539154},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4918999969959259},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48260000348091125},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.451200008392334}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8102999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7307999730110168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6488000154495239},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574999988079071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.5006999969482422},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4952000081539154},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4918999969959259},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39579999446868896},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.336899995803833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3199999928474426},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40314-026-03681-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s40314-026-03681-w","pdf_url":null,"source":{"id":"https://openalex.org/S4210195884","display_name":"Computational and Applied Mathematics","issn_l":"0101-8205","issn":["0101-8205","1807-0302","2238-3603"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Applied Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5452116131782532,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1965125844","https://openalex.org/W2012309718","https://openalex.org/W2020925091","https://openalex.org/W2056938357","https://openalex.org/W2074682976","https://openalex.org/W2098337454","https://openalex.org/W2116815574","https://openalex.org/W2119821739","https://openalex.org/W2122825543","https://openalex.org/W2124315825","https://openalex.org/W2135046866","https://openalex.org/W2154560360","https://openalex.org/W2164092415","https://openalex.org/W2487770199","https://openalex.org/W2498119267","https://openalex.org/W2562162676","https://openalex.org/W2787894218","https://openalex.org/W2885760818","https://openalex.org/W2911964244","https://openalex.org/W2964122172","https://openalex.org/W4247571494","https://openalex.org/W4289236186","https://openalex.org/W4294541781","https://openalex.org/W4387262202"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-04-22T00:00:00"}