{"id":"https://openalex.org/W2995557860","doi":"https://doi.org/10.1147/jrd.2019.2960225","title":"Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit","display_name":"Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit","publication_year":2019,"publication_date":"2019-12-17","ids":{"openalex":"https://openalex.org/W2995557860","doi":"https://doi.org/10.1147/jrd.2019.2960225","mag":"2995557860"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2019.2960225","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2019.2960225","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1615814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068431797","display_name":"Mark Coletti","orcid":"https://orcid.org/0000-0003-1020-531X"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Coletti","raw_affiliation_strings":["Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010566239","display_name":"Alexander Fafard","orcid":"https://orcid.org/0000-0002-7879-2234"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Fafard","raw_affiliation_strings":["Rochester Inst. of Technology, Rochester, NY (United States)"],"affiliations":[{"raw_affiliation_string":"Rochester Inst. of Technology, Rochester, NY (United States)","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036424514","display_name":"David Page","orcid":"https://orcid.org/0000-0003-3353-4300"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Page","raw_affiliation_strings":["Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068431797"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":1.0116,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83389651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"64","issue":"3/4","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7319145798683167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824679374694824},{"id":"https://openalex.org/keywords/summit","display_name":"Summit","score":0.6744817495346069},{"id":"https://openalex.org/keywords/troubleshooting","display_name":"Troubleshooting","score":0.651646077632904},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6082232594490051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5157899856567383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5132267475128174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.471394807100296},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.46707963943481445},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46328774094581604},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4547696113586426},{"id":"https://openalex.org/keywords/database-normalization","display_name":"Database normalization","score":0.4152311086654663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22139209508895874}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7319145798683167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824679374694824},{"id":"https://openalex.org/C2778848561","wikidata":"https://www.wikidata.org/wiki/Q207326","display_name":"Summit","level":2,"score":0.6744817495346069},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.651646077632904},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6082232594490051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5157899856567383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5132267475128174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.471394807100296},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.46707963943481445},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46328774094581604},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4547696113586426},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.4152311086654663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22139209508895874},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1147/jrd.2019.2960225","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2019.2960225","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1615814","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1615814","pdf_url":"https://www.osti.gov/servlets/purl/1615814","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1615814","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1615814","pdf_url":"https://www.osti.gov/servlets/purl/1615814","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8813984943","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320316892","funder_display_name":"UT-Battelle"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320316892","display_name":"UT-Battelle","ror":"https://ror.org/04nza6677"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995557860.pdf","grobid_xml":"https://content.openalex.org/works/W2995557860.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W44465109","https://openalex.org/W1509614823","https://openalex.org/W1653273292","https://openalex.org/W1806891645","https://openalex.org/W1901129140","https://openalex.org/W1910657905","https://openalex.org/W1957053378","https://openalex.org/W2001412060","https://openalex.org/W2052627427","https://openalex.org/W2092192451","https://openalex.org/W2097998348","https://openalex.org/W2111935653","https://openalex.org/W2112796928","https://openalex.org/W2117248802","https://openalex.org/W2117539524","https://openalex.org/W2192203593","https://openalex.org/W2559597482","https://openalex.org/W2737722331","https://openalex.org/W2746824153","https://openalex.org/W2767077319","https://openalex.org/W2768205026","https://openalex.org/W2883171824","https://openalex.org/W2888100907","https://openalex.org/W2912447914","https://openalex.org/W2919115771","https://openalex.org/W2919358988","https://openalex.org/W2942056403","https://openalex.org/W2963446712","https://openalex.org/W2963525222","https://openalex.org/W6601814988","https://openalex.org/W6630552473","https://openalex.org/W6639780620","https://openalex.org/W6639824700","https://openalex.org/W6674385629","https://openalex.org/W6746211484"],"related_works":["https://openalex.org/W3013479934","https://openalex.org/W4210597238","https://openalex.org/W4318325534","https://openalex.org/W4206476896","https://openalex.org/W4240398146","https://openalex.org/W2950310564","https://openalex.org/W4238338086","https://openalex.org/W2467308209","https://openalex.org/W2913357653","https://openalex.org/W1981753479"],"abstract_inverted_index":{"Architectural":[0],"and":[1,19,30,83,149,177],"hyperparameter":[2],"design":[3],"choices":[4],"can":[5,12,50],"influence":[6],"deep-learner":[7],"(DL)":[8],"model":[9],"fidelity":[10],"but":[11],"also":[13],"be":[14,51],"affected":[15],"by":[16],"malformed":[17],"training":[18,36,41,82,108,116,147],"validation":[20,84],"data.":[21,85,117],"However,":[22,130],"practitioners":[23],"may":[24],"spend":[25],"significant":[26],"time":[27],"refining":[28],"layers":[29],"hyperparameters":[31],"before":[32],"discovering":[33],"that":[34,45,69,88,95],"distorted":[35],"data":[37,148],"were":[38,107,154],"impeding":[39],"the":[40,81,115,131,146],"progress.":[42],"We":[43,86],"found":[44],"an":[46,121,185],"evolutionary":[47],"algorithm":[48],"(EA)":[49],"used":[52],"to":[53,98,110,156],"troubleshoot":[54],"this":[55,158],"kind":[56],"of":[57,64,171],"DL":[58,65,75,128,132,150,174],"problem.":[59],"An":[60],"EA":[61],"evaluated":[62],"thousands":[63],"configurations":[66],"on":[67,184],"Summit":[68,165],"yielded":[70,125],"no":[71],"overall":[72],"improvement":[73],"in":[74],"performance,":[76,140],"which":[77,105,141,167],"suggested":[78,142],"problems":[79,144],"with":[80,120,145],"suspected":[87],"contrast":[89],"limited":[90],"adaptive":[91],"histogram":[92],"equalization":[93],"enhancement":[94],"was":[96],"applied":[97],"previously":[99],"generated":[100],"digital":[101],"surface":[102],"models,":[103],"for":[104,179],"we":[106,153],"DLs":[109],"find":[111],"errors,":[112],"had":[113],"damaged":[114],"Subsequent":[118],"runs":[119],"alternative":[122],"global":[123],"normalization":[124],"significantly":[126],"improved":[127],"performance.":[129],"intersection":[133],"over":[134],"unions":[135],"still":[136],"exhibited":[137],"consistent":[138],"subpar":[139],"further":[143],"approach.":[151],"Nonetheless,":[152],"able":[155],"diagnose":[157],"problem":[159],"within":[160],"a":[161,180],"12-hour":[162],"span":[163],"via":[164],"runs,":[166],"prevented":[168],"several":[169],"weeks":[170],"unproductive":[172],"trial-and-error":[173],"configuration":[175],"refinement":[176],"allowed":[178],"more":[181],"timely":[182],"convergence":[183],"ultimately":[186],"viable":[187],"solution.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
