{"id":"https://openalex.org/W2964067045","doi":"https://doi.org/10.1007/978-3-030-21074-8_31","title":"Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data","display_name":"Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964067045","doi":"https://doi.org/10.1007/978-3-030-21074-8_31","mag":"2964067045"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-21074-8_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21074-8_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5065015874","display_name":"Masanari Kimura","orcid":"https://orcid.org/0000-0002-9953-3469"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Masanari Kimura","raw_affiliation_strings":["Ridge-i Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ridge-i Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111703556","display_name":"Takashi Yanagihara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takashi Yanagihara","raw_affiliation_strings":["Ridge-i Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ridge-i Inc., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065015874"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.5808,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94616545,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T12357","display_name":"Digital Media Forensic Detection","score":0.989300012588501,"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":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.8593518733978271},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7807239294052124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858991742134094},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.489420086145401},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.4598345160484314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4513692557811737},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4406852722167969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41343575716018677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8593518733978271},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7807239294052124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858991742134094},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.489420086145401},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.4598345160484314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4513692557811737},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4406852722167969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41343575716018677},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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":1,"locations":[{"id":"doi:10.1007/978-3-030-21074-8_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21074-8_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W237844721","https://openalex.org/W2050058873","https://openalex.org/W2099471712","https://openalex.org/W2149993684","https://openalex.org/W2173520492","https://openalex.org/W2220473304","https://openalex.org/W2432004435","https://openalex.org/W2522297021","https://openalex.org/W2599354622","https://openalex.org/W2605920867","https://openalex.org/W2739748921","https://openalex.org/W2787947370","https://openalex.org/W2792112039","https://openalex.org/W2949999304","https://openalex.org/W2962760235","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963061824","https://openalex.org/W2963444790","https://openalex.org/W2963470893","https://openalex.org/W3124680869","https://openalex.org/W3153872861","https://openalex.org/W6818723395"],"related_works":["https://openalex.org/W2076520961","https://openalex.org/W2115397382","https://openalex.org/W2394038673","https://openalex.org/W4308235887","https://openalex.org/W2533071668","https://openalex.org/W2587789887","https://openalex.org/W4319074384","https://openalex.org/W2101822978","https://openalex.org/W4285195761","https://openalex.org/W4296210064"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}