{"id":"https://openalex.org/W4310465416","doi":"https://doi.org/10.1109/tpami.2022.3225476","title":"Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning","display_name":"Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4310465416","doi":"https://doi.org/10.1109/tpami.2022.3225476","pmid":"https://pubmed.ncbi.nlm.nih.gov/36445991"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3225476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3225476","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5017769599","display_name":"Zhi Chen","orcid":"https://orcid.org/0000-0002-4734-368X"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Chen","raw_affiliation_strings":["Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4734-368X","affiliations":[{"raw_affiliation_string":"Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518907","display_name":"Jiang Duan","orcid":"https://orcid.org/0000-0002-8573-311X"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Duan","raw_affiliation_strings":["Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-8573-311X","affiliations":[{"raw_affiliation_string":"Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054900543","display_name":"Kang Li","orcid":"https://orcid.org/0000-0001-6178-8549"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Kang","raw_affiliation_strings":["Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6178-8549","affiliations":[{"raw_affiliation_string":"Blockchain Research Center of China, School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["College of Electronics and Information Engineering, Guangdong Key Lab for Intelligent Information Processing, Shenzhen Institute of Artificial intelligence and Robotics for Society, Shenzhen University, Shenzhen, Guangdong Province, China","School of Computer Science, University of Nottingham, Nottingham, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5877-5648","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Guangdong Key Lab for Intelligent Information Processing, Shenzhen Institute of Artificial intelligence and Robotics for Society, Shenzhen University, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, U.K","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2982,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.97048186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"45","issue":"6","first_page":"7781","last_page":"7798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7407712340354919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.66165691614151},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6537299156188965},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5662890672683716},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.512855052947998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49646955728530884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49321407079696655},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.43894702196121216}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7407712340354919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66165691614151},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6537299156188965},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5662890672683716},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.512855052947998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49646955728530884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49321407079696655},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.43894702196121216}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3225476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3225476","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36445991","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36445991","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2603676127","display_name":null,"funder_award_id":"JBK2103012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2742921397","display_name":null,"funder_award_id":"JBK2202048","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4993309506","display_name":"\u533a\u5757\u94fe\u73af\u5883\u4e0b\u57fa\u4e8e\u65b0\u4e00\u4ee3\u624b\u673a\u901a\u4fe1\u6570\u636e\u7684\u4ea4\u901a\u51fa\u884c\u5206\u6790\u53ef\u9760\u5ea6\u8bc4\u4f30\u7814\u7a76","funder_award_id":"52072313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5430980299","display_name":null,"funder_award_id":"U22B2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W126266486","https://openalex.org/W309312769","https://openalex.org/W1530232915","https://openalex.org/W1577499353","https://openalex.org/W1738019091","https://openalex.org/W1834627138","https://openalex.org/W1967456674","https://openalex.org/W1970088130","https://openalex.org/W1974758710","https://openalex.org/W1982347161","https://openalex.org/W1986332411","https://openalex.org/W1991357106","https://openalex.org/W1995443851","https://openalex.org/W2007339694","https://openalex.org/W2008989859","https://openalex.org/W2019014808","https://openalex.org/W2026493302","https://openalex.org/W2034518400","https://openalex.org/W2041559880","https://openalex.org/W2044130372","https://openalex.org/W2056081083","https://openalex.org/W2069645876","https://openalex.org/W2148143831","https://openalex.org/W2338573124","https://openalex.org/W2507487910","https://openalex.org/W2548061775","https://openalex.org/W2576694568","https://openalex.org/W2583312392","https://openalex.org/W2593021375","https://openalex.org/W2599354622","https://openalex.org/W2743138268","https://openalex.org/W2750384547","https://openalex.org/W2779066530","https://openalex.org/W2784313390","https://openalex.org/W2787579267","https://openalex.org/W2789467011","https://openalex.org/W2797697401","https://openalex.org/W2803697594","https://openalex.org/W2807955733","https://openalex.org/W2896488239","https://openalex.org/W2898952346","https://openalex.org/W2901866350","https://openalex.org/W2902758299","https://openalex.org/W2915252171","https://openalex.org/W2921315455","https://openalex.org/W2940979392","https://openalex.org/W2949848919","https://openalex.org/W2950495522","https://openalex.org/W2950725885","https://openalex.org/W2950776302","https://openalex.org/W2951671949","https://openalex.org/W2952716587","https://openalex.org/W2963163163","https://openalex.org/W2963208436","https://openalex.org/W2963307331","https://openalex.org/W2963445059","https://openalex.org/W2963795951","https://openalex.org/W2964002344","https://openalex.org/W2964122153","https://openalex.org/W2966277378","https://openalex.org/W2990229938","https://openalex.org/W3009763662","https://openalex.org/W3011768656","https://openalex.org/W3022309082","https://openalex.org/W3035231706","https://openalex.org/W3091079630","https://openalex.org/W3093744263","https://openalex.org/W3107115304","https://openalex.org/W3118608800","https://openalex.org/W3119685738","https://openalex.org/W3125734447","https://openalex.org/W3126272270","https://openalex.org/W3136793533","https://openalex.org/W3170081951","https://openalex.org/W3179192172","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W4256141317","https://openalex.org/W4288335160","https://openalex.org/W4289676800","https://openalex.org/W4294568686","https://openalex.org/W6637865168","https://openalex.org/W6684704092","https://openalex.org/W6715501732","https://openalex.org/W6729482032","https://openalex.org/W6732492507","https://openalex.org/W6732548153","https://openalex.org/W6734269522","https://openalex.org/W6743688258","https://openalex.org/W6748655329","https://openalex.org/W6751494907","https://openalex.org/W6753928293","https://openalex.org/W6755312952","https://openalex.org/W6757844995","https://openalex.org/W6763324549","https://openalex.org/W6776789770","https://openalex.org/W6784097300","https://openalex.org/W6787972765","https://openalex.org/W6941272210"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W4375951447"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,85],"has":[2],"wide":[3],"applications":[4],"in":[5],"machine":[6],"intelligence":[7],"but":[8],"is":[9,25,70,86,126,139],"still":[10],"a":[11,26,53,71,75,164],"difficult":[12],"unsolved":[13],"problem.":[14,30],"Major":[15],"challenges":[16],"include":[17],"the":[18,60,93,99,121,124,130,144,158],"rarity":[19],"of":[20,92,123,146,166],"labeled":[21],"anomalies":[22],"and":[23,134],"it":[24],"class":[27,104,131],"highly":[28],"imbalanced":[29,132],"Traditional":[31],"unsupervised":[32],"anomaly":[33,56,84,160],"detectors":[34],"are":[35],"suboptimal":[36],"while":[37],"supervised":[38,55],"models":[39],"can":[40],"easily":[41],"make":[42],"biased":[43],"predictions":[44],"towards":[45],"normal":[46],"data.":[47,149],"In":[48,95],"this":[49],"paper,":[50],"we":[51],"present":[52,151],"new":[54,159],"detector":[57,161],"through":[58],"introducing":[59],"novel":[61],"Ensemble":[62],"Active":[63],"Learning":[64],"Generative":[65],"Adversarial":[66],"Network":[67],"(EAL-GAN).":[68],"EAL-GAN":[69],"conditional":[72,100],"GAN":[73,101],"having":[74],"unique":[76],"one":[77],"generator":[78],"versus":[79],"multiple":[80],"discriminators":[81],"architecture":[82],"where":[83],"implemented":[87],"by":[88,169],"an":[89,109,135],"auxiliary":[90],"classifier":[91],"discriminator.":[94],"addition":[96],"to":[97,102,128,141,155],"using":[98],"generate":[103],"balanced":[105],"supplementary":[106],"training":[107],"data,":[108],"innovative":[110],"ensemble":[111],"learning":[112,137],"loss":[113],"function":[114],"ensuring":[115],"each":[116],"discriminator":[117],"makes":[118],"up":[119],"for":[120],"deficiencies":[122],"others":[125],"designed":[127],"overcome":[129],"problem,":[133],"active":[136],"algorithm":[138],"introduced":[140],"significantly":[142],"reduce":[143],"cost":[145],"labeling":[147],"real-world":[148],"We":[150],"extensive":[152],"experimental":[153],"results":[154],"demonstrate":[156],"that":[157],"consistently":[162],"outperforms":[163],"variety":[165],"SOTA":[167],"methods":[168],"significant":[170],"margins.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}