{"id":"https://openalex.org/W4237991929","doi":"https://doi.org/10.1109/wsc.2013.6721444","title":"A case study examining the impact of factor screening for Neural Network metamodels","display_name":"A case study examining the impact of factor screening for Neural Network metamodels","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W4237991929","doi":"https://doi.org/10.1109/wsc.2013.6721444"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2013.6721444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721444","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-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/A5015744545","display_name":"Scott L. Rosen","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Scott L. Rosen","raw_affiliation_strings":["The MITRE Corporation McLean, VA, USA"],"affiliations":[{"raw_affiliation_string":"The MITRE Corporation McLean, VA, USA","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061818065","display_name":"S. K. Guharay","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samar K. Guharay","raw_affiliation_strings":["The MITRE Corporation McLean, VA, USA"],"affiliations":[{"raw_affiliation_string":"The MITRE Corporation McLean, VA, USA","institution_ids":["https://openalex.org/I44896327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015744545"],"corresponding_institution_ids":["https://openalex.org/I44896327"],"apc_list":null,"apc_paid":null,"fwci":0.9391,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77449514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"138","issue":null,"first_page":"486","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9940000176429749,"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/T10320","display_name":"Neural Networks and Applications","score":0.9940000176429749,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.9286412596702576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812717914581299},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6500946283340454},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6417596340179443},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5515760779380798},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5275791883468628},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5248434543609619},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5164496898651123},{"id":"https://openalex.org/keywords/scale-factor","display_name":"Scale factor (cosmology)","score":0.49130478501319885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45428964495658875},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44749778509140015},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.44006434082984924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131064713001251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38983434438705444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13063126802444458},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.11404293775558472},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10697856545448303}],"concepts":[{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.9286412596702576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812717914581299},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6500946283340454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6417596340179443},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5515760779380798},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5275791883468628},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5248434543609619},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5164496898651123},{"id":"https://openalex.org/C144386022","wikidata":"https://www.wikidata.org/wiki/Q1332997","display_name":"Scale factor (cosmology)","level":5,"score":0.49130478501319885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45428964495658875},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44749778509140015},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.44006434082984924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131064713001251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38983434438705444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13063126802444458},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.11404293775558472},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10697856545448303},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C20154449","wikidata":"https://www.wikidata.org/wiki/Q1129469","display_name":"Metric expansion of space","level":4,"score":0.0},{"id":"https://openalex.org/C172790937","wikidata":"https://www.wikidata.org/wiki/Q18343","display_name":"Dark energy","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2013.6721444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721444","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1576818901","https://openalex.org/W2000836282","https://openalex.org/W2018044188","https://openalex.org/W2033708803","https://openalex.org/W2034374737","https://openalex.org/W2039708501","https://openalex.org/W2043193190","https://openalex.org/W2077651858","https://openalex.org/W2092853045","https://openalex.org/W2099704975","https://openalex.org/W2101927907","https://openalex.org/W2108823021","https://openalex.org/W2132163258","https://openalex.org/W2136047985","https://openalex.org/W2138082802","https://openalex.org/W2142681697","https://openalex.org/W2152321789","https://openalex.org/W2161016756","https://openalex.org/W2162870748","https://openalex.org/W2163286960","https://openalex.org/W2316978050","https://openalex.org/W2332782546","https://openalex.org/W2791622629","https://openalex.org/W3122455945","https://openalex.org/W3150130873","https://openalex.org/W4237948290","https://openalex.org/W4243645092","https://openalex.org/W4248084645","https://openalex.org/W4254242498","https://openalex.org/W4256495360"],"related_works":["https://openalex.org/W2080167534","https://openalex.org/W3146440365","https://openalex.org/W2011315860","https://openalex.org/W2140792736","https://openalex.org/W2280241695","https://openalex.org/W2130588191","https://openalex.org/W4239214709","https://openalex.org/W86865726","https://openalex.org/W4231268542","https://openalex.org/W2559342299"],"abstract_inverted_index":{"Metamodeling":[0],"of":[1,5,9,44,85,109,156,174,191,207,214,225],"large-scale":[2,25,197],"simulations":[3,26],"consisting":[4],"a":[6,90,93,100,103,141,153,192,196,211],"large":[7,104,212],"number":[8],"input":[10,46,226],"parameters":[11],"can":[12,67,179],"be":[13],"very":[14],"challenging.":[15],"Neural":[16,61,135],"Networks":[17],"have":[18,68],"shown":[19],"great":[20],"promise":[21],"in":[22,119],"fitting":[23],"these":[24,166,186],"even":[27],"without":[28,92],"performing":[29],"factor":[30,33,56,78,132],"screening.":[31],"However,":[32],"screening":[34,57,79,133,165],"is":[35,123,139],"an":[36,45],"effective":[37],"method":[38],"for":[39,77],"logically":[40],"reducing":[41],"the":[42,83,107,116,120,172,189],"dimensionality":[43],"space":[47],"and":[48,71,112,134,161,217],"thus":[49],"enabling":[50],"more":[51,147],"feasible":[52],"metamodel":[53,66,175],"calibration.":[54],"Applying":[55],"methods":[58],"before":[59],"calibrating":[60],"Network":[62,136],"metamodels":[63],"or":[64],"any":[65],"both":[69],"positive":[70],"negative":[72],"effects.":[73],"The":[74],"critical":[75],"assumption":[76],"under":[80],"investigation":[81],"involves":[82],"prevalence":[84,108],"two-way":[86,110],"interactions":[87,111],"that":[88,177,220],"contain":[89],"variable":[91],"significant":[94],"main":[95],"effect":[96],"by":[97],"itself.":[98],"In":[99,181],"simulation":[101],"with":[102,145],"parameter":[105],"space,":[106],"their":[113],"contribution":[114],"to":[115,158,223],"total":[117],"variability":[118],"model":[121],"output":[122],"far":[124],"from":[125],"transparent.":[126],"Important":[127],"questions":[128,187],"therefore":[129],"arise":[130],"regarding":[131],"metamodels:":[137],"(a)":[138],"this":[140,182],"process":[142],"worth":[143],"doing":[144],"today's":[146],"powerful":[148],"computing":[149],"processors,":[150],"which":[151],"provide":[152],"larger":[154],"library":[155],"runs":[157],"do":[159],"metamodeling;":[160],"(b),":[162],"does":[163],"erroneously":[164],"buried":[167],"interaction":[168],"terms":[169],"critically":[170],"impact":[171],"level":[173],"fidelity":[176],"one":[178],"achieve.":[180],"paper":[183],"we":[184],"examine":[185],"through":[188],"construction":[190],"case":[193],"study":[194,200],"on":[195,210],"simulation.":[198],"This":[199],"projects":[201],"regional":[202],"homelessness":[203],"levels":[204],"per":[205],"county":[206],"interest":[208],"based":[209],"array":[213],"budget":[215],"decisions":[216],"resource":[218],"allocations":[219],"expand":[221],"out":[222],"hundreds":[224],"parameters.":[227]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}