{"id":"https://openalex.org/W4400679632","doi":"https://doi.org/10.1109/access.2024.3427783","title":"Recursive Elimination of \u201cOutliers\u201d to Get Benchmark Dataset","display_name":"Recursive Elimination of \u201cOutliers\u201d to Get Benchmark Dataset","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400679632","doi":"https://doi.org/10.1109/access.2024.3427783"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3427783","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3427783","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3427783","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114191995","display_name":"Langsha Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langsha Liu","raw_affiliation_strings":["Department of Information Engineering, Guizhou Communication Polytechnic University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Guizhou Communication Polytechnic University, Guiyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016131738","display_name":"Chunhui Xie","orcid":"https://orcid.org/0009-0002-6383-3942"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhui Xie","raw_affiliation_strings":["College of Materials and Metallurgy, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0002-6383-3942","affiliations":[{"raw_affiliation_string":"College of Materials and Metallurgy, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019949785","display_name":"Wensheng Hu","orcid":"https://orcid.org/0000-0001-9662-5395"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wensheng Hu","raw_affiliation_strings":["Department of Information Engineering, Guizhou Communication Polytechnic University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Guizhou Communication Polytechnic University, Guiyang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039746321","display_name":"Yunqi Li","orcid":"https://orcid.org/0000-0002-5190-3037"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqi Li","raw_affiliation_strings":["College of Materials and Metallurgy, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5190-3037","affiliations":[{"raw_affiliation_string":"College of Materials and Metallurgy, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0694,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85281923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"98319","last_page":"98325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9215999841690063,"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/outlier","display_name":"Outlier","score":0.7596412897109985},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7264654040336609},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6576822996139526},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6328336000442505},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.541245698928833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49220624566078186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4044509530067444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3563618063926697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3339381217956543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3235796093940735}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7596412897109985},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7264654040336609},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6576822996139526},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6328336000442505},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.541245698928833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49220624566078186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4044509530067444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3563618063926697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3339381217956543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3235796093940735},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3427783","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3427783","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:751c8581d64144b09699880adf29593c","is_oa":true,"landing_page_url":"https://doaj.org/article/751c8581d64144b09699880adf29593c","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":"IEEE Access, Vol 12, Pp 98319-98325 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3427783","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3427783","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4452645795","display_name":null,"funder_award_id":"22173094","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":39,"referenced_works":["https://openalex.org/W126266486","https://openalex.org/W153437452","https://openalex.org/W1577499353","https://openalex.org/W1964357740","https://openalex.org/W1976922823","https://openalex.org/W1987552279","https://openalex.org/W2026660542","https://openalex.org/W2061933243","https://openalex.org/W2076118331","https://openalex.org/W2083053927","https://openalex.org/W2095835198","https://openalex.org/W2137130182","https://openalex.org/W2149723649","https://openalex.org/W2167804690","https://openalex.org/W2295598076","https://openalex.org/W2558332556","https://openalex.org/W2725171488","https://openalex.org/W2911964244","https://openalex.org/W2966559104","https://openalex.org/W2991072576","https://openalex.org/W3044033594","https://openalex.org/W3166308340","https://openalex.org/W3180830570","https://openalex.org/W3197142887","https://openalex.org/W3216401703","https://openalex.org/W4206622111","https://openalex.org/W4220659813","https://openalex.org/W4225092916","https://openalex.org/W4299636926","https://openalex.org/W4307298695","https://openalex.org/W4321267870","https://openalex.org/W4379374156","https://openalex.org/W4385740652","https://openalex.org/W4387494240","https://openalex.org/W4391446041","https://openalex.org/W4399888584","https://openalex.org/W6632547301","https://openalex.org/W6790588633","https://openalex.org/W6803533579"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Benchmark":[0],"datasets":[1,190],"normally":[2],"have":[3],"relatively":[4],"conserved":[5],"relationships":[6],"and":[7,18,62,81,95,111,130,154,180,191,201],"low":[8],"fraction":[9],"of":[10,32,42,87,186,194],"outliers,":[11],"indicated":[12],"from":[13],"higher":[14],"determination":[15],"coefficient":[16],"(R2)":[17],"lower":[19],"Mean":[20],"Absolute":[21],"Error":[22],"(MAE)":[23],"in":[24,55,79,128,134,157],"regression":[25],"model.":[26],"Here":[27],"inspired":[28],"by":[29],"the":[30,63,85,119,140,143,158,165,178,184,192],"process":[31],"peeling":[33],"onions,":[34],"we":[35],"introduced":[36],"a":[37,131],"recursive":[38],"data":[39,179],"elimination":[40],"(RDE)":[41],"\u201coutliers\u201d":[43],"strategy":[44,123],"to":[45,137,171,182,197],"get":[46],"benchmark":[47,174,189],"dataset.":[48],"Outliers":[49],"are":[50],"labeled":[51],"using":[52,69],"William\u2019s":[53],"plot":[54],"residual":[56,70],"vs":[57],"leverage":[58],"(recorded":[59,72],"as":[60,73],"RDE_W),":[61],"performance":[64],"was":[65,77,145],"compared":[66,136],"with":[67],"that":[68],"alone":[71],"RDE).":[74],"The":[75],"validation":[76],"performed":[78],"single-target":[80,120],"multiple-target":[82,141],"ways":[83],"through":[84],"predictions":[86],"mechanical":[88],"properties":[89],"including":[90],"Young\u2019s":[91],"modulus,":[92],"tensile":[93],"strength,":[94],"elongation":[96],"at":[97],"break":[98],"for":[99,114,167],"643":[100],"polyurethane":[101],"elastomers":[102],"(the":[103],"first":[104],"time":[105],"this":[106],"dataset":[107],"has":[108],"been":[109],"released),":[110],"compressive":[112],"strength":[113],"1030":[115],"concrete":[116],"samples.":[117],"In":[118,139],"way,":[121],"RDE_W":[122,159,168],"achieved":[124],"an":[125],"8.06%":[126],"increase":[127],"R2":[129],"19.87%":[132],"reduction":[133],"MAE":[135],"RDE.":[138],"way":[142],"improvement":[144],"approximately":[146],"3%.":[147],"SVM":[148],"outperformed":[149],"XGB,":[150],"NN,":[151],"RF,":[152],"Lasso":[153],"DT":[155],"algorithms":[156],"strategy.":[160],"Additional":[161],"tests":[162],"also":[163],"validated":[164],"advantages":[166],"over":[169],"RDE":[170],"generate":[172],"high-quality":[173],"datasets.":[175],"We":[176],"released":[177],"code":[181],"facilitate":[183],"construction":[185],"high":[187],"quality":[188],"development":[193],"new":[195],"approaches":[196],"better":[198],"understand,":[199],"explore":[200],"design":[202],"advanced":[203],"materials.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
