{"id":"https://openalex.org/W3120891664","doi":"https://doi.org/10.1007/978-3-030-65414-6_11","title":"GAN-Based Anomaly Detection In Imbalance Problems","display_name":"GAN-Based Anomaly Detection In Imbalance Problems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3120891664","doi":"https://doi.org/10.1007/978-3-030-65414-6_11","mag":"3120891664"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-65414-6_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-65414-6_11","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/A5027892599","display_name":"Junbong Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junbong Kim","raw_affiliation_strings":["IDIS, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDIS, Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048615255","display_name":"Kwanghee Jeong","orcid":"https://orcid.org/0000-0002-7573-0900"},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanghee Jeong","raw_affiliation_strings":["Department of Electronic Engineering, Seokyeong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seokyeong University, Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047769395","display_name":"Hyomin Choi","orcid":"https://orcid.org/0000-0003-2458-893X"},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyomin Choi","raw_affiliation_strings":["Department of Electronic Engineering, Seokyeong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seokyeong University, Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075875574","display_name":"Kisung Seo","orcid":"https://orcid.org/0000-0002-5256-0582"},"institutions":[{"id":"https://openalex.org/I55188197","display_name":"Seokyeong University","ror":"https://ror.org/04x0k0m51","country_code":"KR","type":"education","lineage":["https://openalex.org/I55188197"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kisung Seo","raw_affiliation_strings":["Department of Electronic Engineering, Seokyeong University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Seokyeong University, Seoul, Korea","institution_ids":["https://openalex.org/I55188197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027892599"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.4005,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95906555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"145"},"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":0.9932000041007996,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9848999977111816,"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/mnist-database","display_name":"MNIST database","score":0.909276008605957},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8683693408966064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8108435273170471},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7844603061676025},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7295557260513306},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6148182153701782},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5219549536705017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48921847343444824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44588908553123474},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4408876895904541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43140125274658203},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43024134635925293},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42711201310157776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42159950733184814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40690064430236816},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06366842985153198}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.909276008605957},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8683693408966064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108435273170471},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7844603061676025},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7295557260513306},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6148182153701782},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5219549536705017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48921847343444824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44588908553123474},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4408876895904541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43140125274658203},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43024134635925293},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42711201310157776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42159950733184814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40690064430236816},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06366842985153198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-65414-6_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-65414-6_11","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":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W142793689","https://openalex.org/W145450961","https://openalex.org/W1487629352","https://openalex.org/W1499399937","https://openalex.org/W1500890010","https://openalex.org/W1528025004","https://openalex.org/W1588282782","https://openalex.org/W1901129140","https://openalex.org/W1978981734","https://openalex.org/W1992396639","https://openalex.org/W2017814585","https://openalex.org/W2076063813","https://openalex.org/W2099471712","https://openalex.org/W2108197782","https://openalex.org/W2115627867","https://openalex.org/W2119191234","https://openalex.org/W2122646361","https://openalex.org/W2127979711","https://openalex.org/W2136655611","https://openalex.org/W2146831490","https://openalex.org/W2204904589","https://openalex.org/W2338318698","https://openalex.org/W2562319768","https://openalex.org/W2593414223","https://openalex.org/W2599354622","https://openalex.org/W2750384547","https://openalex.org/W2767106145","https://openalex.org/W2786088545","https://openalex.org/W2786599352","https://openalex.org/W2787947370","https://openalex.org/W2790413099","https://openalex.org/W2803674491","https://openalex.org/W2803697594","https://openalex.org/W2808699053","https://openalex.org/W2897069058","https://openalex.org/W2899434936","https://openalex.org/W2936503027","https://openalex.org/W2963045681","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2963833205","https://openalex.org/W2964032056","https://openalex.org/W2969836179","https://openalex.org/W2987228832","https://openalex.org/W2987821246","https://openalex.org/W3011722050","https://openalex.org/W3034314048","https://openalex.org/W3081229243","https://openalex.org/W3118608800","https://openalex.org/W3153872861","https://openalex.org/W4205194992","https://openalex.org/W4234643200","https://openalex.org/W4243367342","https://openalex.org/W6600679772","https://openalex.org/W6601202783","https://openalex.org/W6603283563"],"related_works":["https://openalex.org/W4394785709","https://openalex.org/W4296978181","https://openalex.org/W2912987408","https://openalex.org/W2937381246","https://openalex.org/W3004801820","https://openalex.org/W4281672036","https://openalex.org/W4313444753","https://openalex.org/W4230582276","https://openalex.org/W3186512740","https://openalex.org/W3194885736"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
