{"id":"https://openalex.org/W2762264040","doi":"https://doi.org/10.1109/cscwd.2017.8066749","title":"Ensemble of surrogate models using sign based cross validation error","display_name":"Ensemble of surrogate models using sign based cross validation error","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2762264040","doi":"https://doi.org/10.1109/cscwd.2017.8066749","mag":"2762264040"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2017.8066749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2017.8066749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028721884","display_name":"Haobo Qiu","orcid":"https://orcid.org/0000-0001-8348-7843"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobo Qiu","raw_affiliation_strings":["The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443533","display_name":"Liming Chen","orcid":"https://orcid.org/0000-0002-8129-9563"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Chen","raw_affiliation_strings":["The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612951","display_name":"Chen Jiang","orcid":"https://orcid.org/0000-0002-2983-7512"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Jiang","raw_affiliation_strings":["The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622010","display_name":"Xiwen Cai","orcid":"https://orcid.org/0000-0001-7154-0782"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwen Cai","raw_affiliation_strings":["The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017886286","display_name":"Liang Gao","orcid":"https://orcid.org/0000-0002-1485-0722"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Gao","raw_affiliation_strings":["The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"526","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.8618038296699524},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7101261615753174},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6930381059646606},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6721194982528687},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5964958071708679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5866502523422241},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5373633503913879},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4778944253921509},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.4755943715572357},{"id":"https://openalex.org/keywords/sign-test","display_name":"Sign test","score":0.41066673398017883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37996238470077515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2896221876144409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2545831799507141},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2404698133468628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20579594373703003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06230461597442627}],"concepts":[{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.8618038296699524},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7101261615753174},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6930381059646606},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6721194982528687},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5964958071708679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5866502523422241},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5373633503913879},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4778944253921509},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.4755943715572357},{"id":"https://openalex.org/C165793278","wikidata":"https://www.wikidata.org/wiki/Q2301904","display_name":"Sign test","level":4,"score":0.41066673398017883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37996238470077515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2896221876144409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2545831799507141},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2404698133468628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20579594373703003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06230461597442627},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C12868164","wikidata":"https://www.wikidata.org/wiki/Q1424533","display_name":"Mann\u2013Whitney U test","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2017.8066749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2017.8066749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1968226729","https://openalex.org/W1981909972","https://openalex.org/W2018044188","https://openalex.org/W2044771513","https://openalex.org/W2048711666","https://openalex.org/W2067631571","https://openalex.org/W2076710949","https://openalex.org/W2079166250","https://openalex.org/W2082992023","https://openalex.org/W2088990166","https://openalex.org/W2093229042","https://openalex.org/W2105782540","https://openalex.org/W2127400268","https://openalex.org/W2156677085","https://openalex.org/W2172180203","https://openalex.org/W2940616667","https://openalex.org/W3006066026","https://openalex.org/W4205762935"],"related_works":["https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W1856228368","https://openalex.org/W2971527398","https://openalex.org/W82829784","https://openalex.org/W1929207905","https://openalex.org/W1025150868"],"abstract_inverted_index":{"Surrogate":[0],"model":[1,23,105],"methods":[2],"are":[3],"usually":[4],"used":[5,85],"as":[6],"a":[7,36],"time-saving":[8],"approach":[9],"to":[10,31,90,119],"reduce":[11],"the":[12,20,92,103,114],"computational":[13],"burden":[14],"of":[15,39,94],"expensive":[16],"computer":[17],"simulations,":[18],"while":[19,111],"appropriate":[21],"surrogate":[22,40],"for":[24],"an":[25],"unknown":[26],"problem":[27],"is":[28,59,64,84],"often":[29],"difficult":[30],"choose.":[32],"In":[33],"this":[34,95],"paper,":[35],"SCG":[37,62,83,104],"(Ensemble":[38],"models":[41],"using":[42],"Sign":[43],"based":[44,54,71],"Cross":[45],"validation":[46],"error":[47],"with":[48],"Global":[49],"correction)":[50],"ensemble":[51,122],"modeling":[52,116],"method":[53,63],"on":[55],"pointwise":[56,72],"local":[57,73],"measures":[58],"proposed.":[60],"The":[61,98],"constructed":[65],"from":[66],"three":[67],"aspects:":[68],"(i)":[69],"sign":[70],"weight,":[74],"(ii)":[75],"global":[76],"correction":[77],"parameter,":[78],"and":[79,109],"(iii)":[80],"distance":[81],"metric.":[82],"in":[86],"four":[87],"benchmark":[88],"problems":[89],"test":[91,99],"effectiveness":[93],"new":[96],"method.":[97],"results":[100],"show":[101],"that":[102],"has":[106],"higher":[107],"accuracy":[108],"robustness,":[110],"spending":[112],"almost":[113],"same":[115],"time":[117],"compared":[118],"other":[120],"existing":[121],"models.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}