{"id":"https://openalex.org/W3125329049","doi":"https://doi.org/10.1109/prdc50213.2020.00021","title":"Dataset Fault Tree Analysis for Systematic Evaluation of Machine Learning Systems","display_name":"Dataset Fault Tree Analysis for Systematic Evaluation of Machine Learning Systems","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3125329049","doi":"https://doi.org/10.1109/prdc50213.2020.00021","mag":"3125329049"},"language":"en","primary_location":{"id":"doi:10.1109/prdc50213.2020.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prdc50213.2020.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC)","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/A5068781921","display_name":"Toshiaki Aoki","orcid":"https://orcid.org/0000-0002-1209-6375"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshiaki Aoki","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, JAPAN"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, JAPAN","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049352543","display_name":"Daisuke Kawakami","orcid":"https://orcid.org/0000-0002-6991-9109"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kawakami","raw_affiliation_strings":["Mitsubishi Electric Corporation, Amagasaki City, Hyogo, 661-8661, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Amagasaki City, Hyogo, 661-8661, JAPAN","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014954662","display_name":"Nobuo Chida","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Chida","raw_affiliation_strings":["Mitsubishi Electric Corporation, Amagasaki City, Hyogo, 661-8661, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Corporation, Amagasaki City, Hyogo, 661-8661, JAPAN","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002638586","display_name":"Takashi Tomita","orcid":"https://orcid.org/0000-0003-1249-7862"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Tomita","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, JAPAN"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, JAPAN","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068781921"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70388621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"100","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/computer-science","display_name":"Computer science","score":0.7782080173492432},{"id":"https://openalex.org/keywords/fault-tree-analysis","display_name":"Fault tree analysis","score":0.7781202793121338},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6889492869377136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165120959281921},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5099195241928101},{"id":"https://openalex.org/keywords/life-critical-system","display_name":"Life-critical system","score":0.4814140796661377},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4732430875301361},{"id":"https://openalex.org/keywords/system-safety","display_name":"System safety","score":0.45369815826416016},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4390104413032532},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.35335302352905273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16118377447128296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782080173492432},{"id":"https://openalex.org/C107094494","wikidata":"https://www.wikidata.org/wiki/Q428453","display_name":"Fault tree analysis","level":2,"score":0.7781202793121338},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6889492869377136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165120959281921},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5099195241928101},{"id":"https://openalex.org/C163707989","wikidata":"https://www.wikidata.org/wiki/Q1996307","display_name":"Life-critical system","level":3,"score":0.4814140796661377},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4732430875301361},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.45369815826416016},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4390104413032532},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.35335302352905273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16118377447128296},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prdc50213.2020.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prdc50213.2020.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC)","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":29,"referenced_works":["https://openalex.org/W181126556","https://openalex.org/W1544634046","https://openalex.org/W1585201850","https://openalex.org/W1889081078","https://openalex.org/W1945616565","https://openalex.org/W2037227137","https://openalex.org/W2041650849","https://openalex.org/W2061076057","https://openalex.org/W2117539524","https://openalex.org/W2424668608","https://openalex.org/W2543296129","https://openalex.org/W2597691991","https://openalex.org/W2616028256","https://openalex.org/W2741933435","https://openalex.org/W2753704268","https://openalex.org/W2886142880","https://openalex.org/W2954678575","https://openalex.org/W2963207607","https://openalex.org/W2965287902","https://openalex.org/W3007157104","https://openalex.org/W3099881166","https://openalex.org/W3163244177","https://openalex.org/W4233413206","https://openalex.org/W4297797796","https://openalex.org/W6607272454","https://openalex.org/W6639432524","https://openalex.org/W6640425456","https://openalex.org/W6742734672","https://openalex.org/W6742759968"],"related_works":["https://openalex.org/W2775302246","https://openalex.org/W2353601525","https://openalex.org/W2362842781","https://openalex.org/W2763916043","https://openalex.org/W2167025002","https://openalex.org/W2021903470","https://openalex.org/W2777190621","https://openalex.org/W2019551446","https://openalex.org/W2349629804","https://openalex.org/W3081376217"],"abstract_inverted_index":{"Recently,":[0],"machine":[1,54],"learning,":[2,5],"particularly":[3],"deep":[4],"is":[6,11],"attracting":[7],"much":[8],"interest":[9],"and":[10,84,139],"applied":[12],"in":[13,29,118],"various":[14],"systems.":[15,76],"Applications":[16],"include":[17],"not":[18],"only":[19],"entertainment":[20],"systems,":[21],"but":[22],"safety-critical":[23,36],"systems":[24,37,56],"such":[25,35,75],"as":[26,132],"those":[27],"found":[28],"autonomous":[30],"vehicles.":[31],"The":[32,77],"reliability":[33],"of":[34,53,74,80,87,141],"must":[38],"be":[39,60],"guaranteed":[40],"before":[41],"they":[42],"are":[43],"released":[44],"into":[45],"society.":[46],"However,":[47],"methods":[48],"for":[49,69],"ensuring":[50],"the":[51,72,91,96,107,119,137],"safety":[52,73,82,92,120],"learning-based":[55],"have":[57],"yet":[58],"to":[59,102,113,135],"established.":[61],"In":[62,90,106],"this":[63],"paper,":[64],"we":[65,94,109],"propose":[66],"a":[67,126,133],"method":[68,78],"systematically":[70],"evaluating":[71],"consists":[79],"dataset-based":[81],"analysis":[83,101],"statistical":[85,111],"evaluation":[86],"testing":[88],"results.":[89],"analysis,":[93],"extend":[95],"widely":[97],"used":[98],"fault":[99],"tree":[100],"deal":[103],"with":[104],"datasets.":[105],"testing,":[108],"use":[110],"estimation":[112],"guarantee":[114],"recognition":[115,129],"rates":[116],"obtained":[117],"analysis.":[121],"We":[122],"conducted":[123],"experiments":[124],"using":[125],"handwritten":[127],"character":[128],"system":[130],"implemented":[131],"CNN":[134],"demonstrate":[136],"feasibility":[138],"effectiveness":[140],"our":[142],"method.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}