{"id":"https://openalex.org/W7130394834","doi":"https://doi.org/10.1007/s44443-026-00518-8","title":"RQSP-SMOTE: a multi-linear interpolation oversampling method based on regular quadrilateral scoring mechanism with perturbation","display_name":"RQSP-SMOTE: a multi-linear interpolation oversampling method based on regular quadrilateral scoring mechanism with perturbation","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130394834","doi":"https://doi.org/10.1007/s44443-026-00518-8"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00518-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00518-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-026-00518-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019972361","display_name":"Shihao Song","orcid":"https://orcid.org/0009-0000-6327-6272"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Song","raw_affiliation_strings":["School of Science, Dalian Maritime University, No. 1 Linghai Road, Ganjingzi District, Dalian, 116026, Liaoning Province, China"],"raw_orcid":"https://orcid.org/0009-0000-6327-6272","affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, No. 1 Linghai Road, Ganjingzi District, Dalian, 116026, Liaoning Province, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104433023","display_name":"Sibo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sibo Yang","raw_affiliation_strings":["School of Science, Dalian Maritime University, No. 1 Linghai Road, Ganjingzi District, Dalian, 116026, Liaoning Province, China"],"raw_orcid":"https://orcid.org/0000-0002-2301-3803","affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, No. 1 Linghai Road, Ganjingzi District, Dalian, 116026, Liaoning Province, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126357408","display_name":"Mengqi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I107982497","display_name":"Dalian Ocean University","ror":"https://ror.org/0523b6g79","country_code":"CN","type":"education","lineage":["https://openalex.org/I107982497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqi Sun","raw_affiliation_strings":["School of Fisheries and Life Science, Dalian Ocean University, No. 52 Heishijiao Street, Shahekou District, Dalian, 116023, Liaoning Province, China"],"raw_orcid":"https://orcid.org/0009-0007-6205-1304","affiliations":[{"raw_affiliation_string":"School of Fisheries and Life Science, Dalian Ocean University, No. 52 Heishijiao Street, Shahekou District, Dalian, 116023, Liaoning Province, China","institution_ids":["https://openalex.org/I107982497"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104433023"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25716839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8133999705314636,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8133999705314636,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.03180000185966492,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.026900000870227814,"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/oversampling","display_name":"Oversampling","score":0.9355000257492065},{"id":"https://openalex.org/keywords/quadrilateral","display_name":"Quadrilateral","score":0.5699999928474426},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5612000226974487},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.44589999318122864},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.4156000018119812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37439998984336853},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3427000045776367}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9355000257492065},{"id":"https://openalex.org/C151756577","wikidata":"https://www.wikidata.org/wiki/Q36810","display_name":"Quadrilateral","level":3,"score":0.5699999928474426},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5612000226974487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49549999833106995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4853000044822693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45179998874664307},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43299999833106995},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.31299999356269836},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.2671999931335449},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00518-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00518-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:66bee7f608f64b898afa0899217138cc","is_oa":true,"landing_page_url":"https://doaj.org/article/66bee7f608f64b898afa0899217138cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 4 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00518-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00518-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5219085812568665,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1488651876","https://openalex.org/W1982165141","https://openalex.org/W1993220166","https://openalex.org/W2062313163","https://openalex.org/W2063016658","https://openalex.org/W2104933073","https://openalex.org/W2107138773","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2200953330","https://openalex.org/W2612634114","https://openalex.org/W2759373552","https://openalex.org/W2766296277","https://openalex.org/W2768149277","https://openalex.org/W2772832743","https://openalex.org/W2789804061","https://openalex.org/W2896236534","https://openalex.org/W2896480277","https://openalex.org/W2896661165","https://openalex.org/W2949836779","https://openalex.org/W2979574122","https://openalex.org/W2989219518","https://openalex.org/W2999096842","https://openalex.org/W3021503072","https://openalex.org/W3034563984","https://openalex.org/W3127988644","https://openalex.org/W3157699413","https://openalex.org/W3190520168","https://openalex.org/W3212864001","https://openalex.org/W4200494353","https://openalex.org/W4220731972","https://openalex.org/W4243610423","https://openalex.org/W4256049924","https://openalex.org/W4285010829","https://openalex.org/W4292170267","https://openalex.org/W4312075150","https://openalex.org/W4319166467","https://openalex.org/W4366992038","https://openalex.org/W4384636150","https://openalex.org/W4387802410","https://openalex.org/W4388069488","https://openalex.org/W4391092624","https://openalex.org/W4403245819","https://openalex.org/W4405061911","https://openalex.org/W4409149141"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Imbalanced":[1],"data":[2,37,52],"classification":[3,150],"is":[4,13,47],"a":[5,14,59,89],"common":[6],"task":[7],"across":[8],"various":[9],"fields,":[10],"and":[11,84,97,131],"oversampling":[12,23,63],"key":[15],"strategy":[16],"in":[17,101],"this":[18,56],"context.":[19],"As":[20],"an":[21],"effective":[22],"method,":[24],"SMOTE":[25,46,125],"has":[26],"gained":[27],"widespread":[28],"recognition.":[29],"It":[30,93],"generates":[31],"new":[32,90,108],"samples":[33,38,96],"by":[34],"leveraging":[35],"existing":[36],"through":[39],"specific":[40],"construction":[41],"strategies.":[42],"However,":[43],"the":[44,78,102,113,116,136],"basic":[45],"not":[48],"suitable":[49],"for":[50],"complex":[51],"feature":[53],"spaces.":[54],"Therefore,":[55],"paper":[57],"proposes":[58],"novel":[60],"multi-linear":[61,99],"interpolation":[62],"method":[64,138],"based":[65],"on":[66,115,152],"regular":[67,82],"quadrilateral":[68],"scoring":[69,91],"mechanism":[70],"with":[71,122,128],"perturbation":[72],"(RQSP-SMOTE).":[73],"The":[74],"RQSP-SMOTE":[75,137,147],"algorithm":[76],"exploits":[77],"geometric":[79],"properties":[80],"of":[81],"quadrilaterals":[83],"introduces":[85],"perturbations":[86],"to":[87,106],"establish":[88],"mechanism.":[92],"dynamically":[94],"selects":[95],"performs":[98],"interpolations":[100],"original":[103],"dimensional":[104],"space":[105],"synthesize":[107],"samples.":[109],"Meanwhile,":[110],"it":[111],"avoids":[112],"dependency":[114],"k-nearest":[117],"neighbor":[118],"method.":[119],"Comparative":[120],"experiments":[121],"other":[123],"improved":[124],"algorithms,":[126],"integrated":[127],"multiple":[129],"classifiers":[130],"evaluation":[132],"metrics,":[133],"show":[134],"that":[135,146],"achieves":[139],"overall":[140],"superior":[141,156],"performance.":[142],"These":[143],"results":[144],"indicate":[145],"effectively":[148],"enhances":[149],"performance":[151],"imbalanced":[153],"datasets,":[154],"yielding":[155],"outcomes":[157],"after":[158],"oversampling.":[159]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-19T00:00:00"}
