{"id":"https://openalex.org/W2913472186","doi":"https://doi.org/10.1109/test.2018.8624821","title":"Artificial Neural Network Based Test Escape Screening Using Generative Model","display_name":"Artificial Neural Network Based Test Escape Screening Using Generative Model","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2913472186","doi":"https://doi.org/10.1109/test.2018.8624821","mag":"2913472186"},"language":"en","primary_location":{"id":"doi:10.1109/test.2018.8624821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2018.8624821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Test Conference (ITC)","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/A5074380332","display_name":"Michihiro Shintani","orcid":"https://orcid.org/0000-0002-1163-096X"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michihiro Shintani","raw_affiliation_strings":["Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, 8916-5 Takayama-cho, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, 8916-5 Takayama-cho, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070572924","display_name":"Michiko Inoue","orcid":"https://orcid.org/0000-0002-9837-5147"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michiko Inoue","raw_affiliation_strings":["Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, 8916-5 Takayama-cho, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, 8916-5 Takayama-cho, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057689148","display_name":"Yoshiyuki Nakamura","orcid":"https://orcid.org/0000-0003-0166-2658"},"institutions":[{"id":"https://openalex.org/I4210153176","display_name":"Renesas Electronics (Japan)","ror":"https://ror.org/058wb7691","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210153176"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiyuki Nakamura","raw_affiliation_strings":["Renesas Electronics Corporation, Tokyo, 5-20-1 Josuihon-cho Kodaira-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renesas Electronics Corporation, Tokyo, 5-20-1 Josuihon-cho Kodaira-shi, Japan","institution_ids":["https://openalex.org/I4210153176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3218,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79775806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.9115228652954102},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8962914943695068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678447425365448},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6333562135696411},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6272120475769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5582719445228577},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5386564135551453},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4791968762874603},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46301907300949097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.443729430437088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43487632274627686},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2732534408569336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18628886342048645},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1500229835510254}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9115228652954102},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8962914943695068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678447425365448},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6333562135696411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6272120475769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5582719445228577},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5386564135551453},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4791968762874603},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46301907300949097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.443729430437088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43487632274627686},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2732534408569336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18628886342048645},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1500229835510254},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2018.8624821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2018.8624821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Test Conference (ITC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1622676895","https://openalex.org/W1790300768","https://openalex.org/W1853291804","https://openalex.org/W1959608418","https://openalex.org/W1966041251","https://openalex.org/W1985258161","https://openalex.org/W1988790447","https://openalex.org/W2008709856","https://openalex.org/W2022100940","https://openalex.org/W2031665266","https://openalex.org/W2035907685","https://openalex.org/W2048465264","https://openalex.org/W2075948878","https://openalex.org/W2099244020","https://openalex.org/W2100495367","https://openalex.org/W2105767494","https://openalex.org/W2105842272","https://openalex.org/W2116996377","https://openalex.org/W2130727809","https://openalex.org/W2132870739","https://openalex.org/W2139212933","https://openalex.org/W2143296673","https://openalex.org/W2145094598","https://openalex.org/W2146502635","https://openalex.org/W2156387975","https://openalex.org/W2160197181","https://openalex.org/W2168209902","https://openalex.org/W2181709060","https://openalex.org/W2402144811","https://openalex.org/W2467604901","https://openalex.org/W2520492247","https://openalex.org/W2544286079","https://openalex.org/W2562773490","https://openalex.org/W2588273498","https://openalex.org/W2810471131","https://openalex.org/W2919115771","https://openalex.org/W2953384591","https://openalex.org/W2962727772","https://openalex.org/W2997574889","https://openalex.org/W4238530616","https://openalex.org/W4242577057","https://openalex.org/W4253295168","https://openalex.org/W6638908295","https://openalex.org/W6640963894","https://openalex.org/W6673284463","https://openalex.org/W6681096077","https://openalex.org/W6681435938","https://openalex.org/W6682889407","https://openalex.org/W6720208624","https://openalex.org/W6733687828","https://openalex.org/W6753180862"],"related_works":["https://openalex.org/W4289763776","https://openalex.org/W2810330923","https://openalex.org/W3015304056","https://openalex.org/W3042518613","https://openalex.org/W4394785709","https://openalex.org/W4309969736","https://openalex.org/W2770818364","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2470043383"],"abstract_inverted_index":{"In":[0,25],"test":[1,8,36,100,119,128],"of":[2,67,84,110],"large":[3],"scale":[4],"integration":[5],"(LSI)":[6],"circuit,":[7],"escape":[9],"is":[10,20,46],"always":[11],"regarded":[12],"as":[13,74,91,107,135],"a":[14,30,60,92,140],"critical":[15],"issue":[16],"since":[17],"significant":[18],"cost":[19],"imposed":[21],"to":[22,49,137],"manufacturing":[23],"cost.":[24],"this":[26],"paper,":[27],"we":[28,121],"propose":[29],"novel":[31],"outlier":[32],"screening":[33],"method":[34,40,97,126],"for":[35],"escape.":[37],"The":[38],"proposed":[39,96,125],"exploits":[41],"variational":[42],"autoencoder":[43,62],"(VAE)":[44],"that":[45,123,138],"widely":[47],"used":[48],"design":[50],"complex":[51],"generative":[52],"model":[53],"in":[54],"artificial":[55],"neural":[56],"network":[57],"field.":[58],"While":[59],"typical":[61],"(AE)":[63],"simply":[64],"extracts":[65],"features":[66],"training":[68],"data,":[69,120],"the":[70,88,95,104,124],"VAE":[71],"does":[72],"it":[73,79],"probability":[75,89,105],"distribution,":[76],"and":[77],"thus":[78],"can":[80],"avoid":[81],"potential":[82],"risk":[83],"overfitting":[85],"by":[86,102],"using":[87,115,139],"distributions":[90,106],"regularizer.":[93],"Moreover,":[94],"effectively":[98],"detects":[99,127],"escapes":[101,129],"utilizing":[103],"likelihood":[108],"function":[109],"good":[111],"chips.":[112],"Through":[113],"experiments":[114],"an":[116],"industrial":[117],"production":[118],"demonstrate":[122],"more":[130],"than":[131],"approximately":[132],"8.5":[133],"times":[134],"compared":[136],"conventional":[141],"AE-based":[142],"method.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
