{"id":"https://openalex.org/W1538065089","doi":"https://doi.org/10.1109/vts.2015.7116270","title":"Improving the accuracy of defect diagnosis by considering reduced diagnostic information","display_name":"Improving the accuracy of defect diagnosis by considering reduced diagnostic information","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1538065089","doi":"https://doi.org/10.1109/vts.2015.7116270","mag":"1538065089"},"language":"en","primary_location":{"id":"doi:10.1109/vts.2015.7116270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2015.7116270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 33rd VLSI Test Symposium (VTS)","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/A5032651920","display_name":"Irith Pomeranz","orcid":"https://orcid.org/0000-0002-5491-7282"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Irith Pomeranz","raw_affiliation_strings":["School of Electrical & Computer Eng., Purdue University, W. Lafayette, IN, U.S.A","School of Electrical & Computer Eng. Purdue University W. Lafayette, IN 47907, U. S. A"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Computer Eng., Purdue University, W. Lafayette, IN, U.S.A","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical & Computer Eng. Purdue University W. Lafayette, IN 47907, U. S. A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032651920"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.9689,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74056051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T13293","display_name":"Engineering and Test Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/observable","display_name":"Observable","score":0.9439129829406738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5742215514183044},{"id":"https://openalex.org/keywords/prior-information","display_name":"Prior information","score":0.47254371643066406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3792140483856201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28091198205947876},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07132172584533691}],"concepts":[{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.9439129829406738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5742215514183044},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.47254371643066406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3792140483856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28091198205947876},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07132172584533691},{"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/vts.2015.7116270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2015.7116270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 33rd VLSI Test Symposium (VTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1554885925","https://openalex.org/W1858737296","https://openalex.org/W1864256460","https://openalex.org/W1934146305","https://openalex.org/W1951780703","https://openalex.org/W1967088554","https://openalex.org/W1981209220","https://openalex.org/W1988211140","https://openalex.org/W2007561585","https://openalex.org/W2016711808","https://openalex.org/W2031335280","https://openalex.org/W2047190802","https://openalex.org/W2067065739","https://openalex.org/W2096268091","https://openalex.org/W2101930218","https://openalex.org/W2108159261","https://openalex.org/W2110150049","https://openalex.org/W2111599933","https://openalex.org/W2112723826","https://openalex.org/W2120312155","https://openalex.org/W2127346720","https://openalex.org/W2129401784","https://openalex.org/W2131814033","https://openalex.org/W2138735239","https://openalex.org/W2148397050","https://openalex.org/W4237466351","https://openalex.org/W6647172765"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1994680671","https://openalex.org/W2002320543","https://openalex.org/W2000283393","https://openalex.org/W2150232912","https://openalex.org/W2061947244","https://openalex.org/W4321855183","https://openalex.org/W15793755","https://openalex.org/W2079624644","https://openalex.org/W1538065089"],"abstract_inverted_index":{"It":[0,110],"was":[1],"noted":[2],"earlier":[3],"that":[4,28,57,102],"the":[5,21,29,33,39,80,89,116,123],"accuracy":[6,90,124],"of":[7,35,41,82,91,118,125],"defect":[8,22,47,59,99],"diagnosis":[9,23,60,100],"may":[10,52,70],"be":[11,64],"improved":[12],"if":[13],"certain":[14],"tests":[15,104],"are":[16],"removed":[17],"from":[18,44,85,108],"consideration":[19,45,86],"by":[20],"procedure.":[24],"This":[25,69,93],"paper":[26,94],"observes":[27],"effects,":[30],"which":[31],"support":[32,38],"removal":[34,40,81],"tests,":[36],"also":[37],"observable":[42,73,83,106,120],"outputs":[43,74,84,107,121],"during":[46],"diagnosis.":[48,92,126],"Specifically,":[49],"a":[50,58,96],"test":[51],"create":[53],"an":[54],"output":[55],"response":[56],"procedure":[61,101],"will":[62],"not":[63],"able":[65],"to":[66,114],"interpret":[67],"correctly.":[68],"affect":[71],"some":[72],"more":[75],"strongly":[76],"than":[77],"others.":[78],"Therefore,":[79],"can":[87],"improve":[88],"describes":[95],"generalized":[97],"augmented":[98],"removes":[103],"and":[105],"consideration.":[109],"presents":[111],"experimental":[112],"results":[113],"demonstrate":[115],"effects":[117],"removing":[119],"on":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
