{"id":"https://openalex.org/W3101836642","doi":"https://doi.org/10.1109/access.2020.3037346","title":"Adaptive Adversarial Latent Space for Novelty Detection","display_name":"Adaptive Adversarial Latent Space for Novelty Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3101836642","doi":"https://doi.org/10.1109/access.2020.3037346","mag":"3101836642"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3037346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09256333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09256333.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007360513","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-5840-9664"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057072312","display_name":"Fangqiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangqiang Xu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519900","display_name":"Yun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Huang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604018","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0001-8774-8115"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667045","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0003-4170-4875"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110575449","display_name":"Jun Xia","orcid":"https://orcid.org/0000-0002-9942-430X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xia","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007360513"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5437,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74574564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"205088","last_page":"205098"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5485950708389282},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5440184473991394},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5386819839477539},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5169172286987305},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5159788727760315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48837751150131226},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4846230447292328},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44459280371665955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36796867847442627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3601500988006592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33741798996925354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32642030715942383},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2231711447238922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5485950708389282},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5440184473991394},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5386819839477539},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5169172286987305},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5159788727760315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48837751150131226},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4846230447292328},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44459280371665955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36796867847442627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3601500988006592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33741798996925354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32642030715942383},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2231711447238922},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3037346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09256333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8ca08d5a2fe488e8f1e4178c08387e2","is_oa":true,"landing_page_url":"https://doaj.org/article/d8ca08d5a2fe488e8f1e4178c08387e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 205088-205098 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3037346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3037346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09256333.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5702945905","display_name":null,"funder_award_id":"61702176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6510101181","display_name":null,"funder_award_id":"62072169","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3101836642.pdf","grobid_xml":"https://content.openalex.org/works/W3101836642.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W2025768430","https://openalex.org/W2099471712","https://openalex.org/W2102409316","https://openalex.org/W2103914106","https://openalex.org/W2105497548","https://openalex.org/W2112796928","https://openalex.org/W2127979711","https://openalex.org/W2331128040","https://openalex.org/W2423557781","https://openalex.org/W2579718262","https://openalex.org/W2599354622","https://openalex.org/W2743138268","https://openalex.org/W2750384547","https://openalex.org/W2752782242","https://openalex.org/W2786088545","https://openalex.org/W2792112039","https://openalex.org/W2860343088","https://openalex.org/W2884585870","https://openalex.org/W2902758299","https://openalex.org/W2925312408","https://openalex.org/W2949982377","https://openalex.org/W2962770929","https://openalex.org/W2962791923","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2963420686","https://openalex.org/W2963636093","https://openalex.org/W2963684088","https://openalex.org/W2964232409","https://openalex.org/W2987228832","https://openalex.org/W2989207674","https://openalex.org/W2989705574","https://openalex.org/W3003941912","https://openalex.org/W3005929107","https://openalex.org/W3011637686","https://openalex.org/W3022606336","https://openalex.org/W3041134889","https://openalex.org/W3082337820","https://openalex.org/W3091518487","https://openalex.org/W3100854587","https://openalex.org/W3118608800","https://openalex.org/W3159503676","https://openalex.org/W4287683516","https://openalex.org/W4293568373","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6675401909","https://openalex.org/W6675613107","https://openalex.org/W6685352114","https://openalex.org/W6735108248","https://openalex.org/W6743688258","https://openalex.org/W6748102297","https://openalex.org/W6753123669","https://openalex.org/W6780248173","https://openalex.org/W6780451330","https://openalex.org/W6781988083","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2995944953","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W198251434"],"abstract_inverted_index":{"Novelty":[0],"detection":[1],"is":[2,25,76,96,115,143,155,173],"a":[3,9,14,50,100,128],"challenging":[4],"task":[5],"of":[6,62,91,140,153,193],"identifying":[7],"whether":[8],"new":[10],"sample":[11,142,182],"obeys":[12],"to":[13,78,98,117,157,178],"known":[15],"class.":[16],"Note":[17],"that":[18],"the":[19,45,80,89,119,130,141,151,159,176,180,191,194],"boundary":[20,102],"between":[21,103],"normal":[22,41,104],"and":[23,70,88,105,109,121],"novel":[24,36,106],"not":[26],"clear":[27],"enough":[28],"in":[29,124],"existing":[30],"works,":[31],"resulting":[32],"from":[33],"adequately":[34],"reconstructing":[35,40],"samples":[37],"or":[38],"crudely":[39],"samples.":[42],"To":[43],"tackle":[44],"above":[46],"issues,":[47],"we":[48],"propose":[49],"general":[51],"framework":[52],"named":[53],"Adaptive":[54,65],"Adversarial":[55,72],"Latent":[56,66],"Space":[57,67],"(AALS),":[58],"which":[59,114,197],"mainly":[60],"consists":[61],"two":[63],"components,":[64],"Generator":[68],"(ALSG)":[69],"Constrained-based":[71],"AutoEncoder":[73],"(CAAE).":[74],"ALSG":[75,154],"established":[77],"obtain":[79,99],"real":[81],"latent":[82,131,160,163],"space":[83,132,161],"distribution":[84],"by":[85,107,146,162],"adaptive":[86],"mapper":[87],"manner":[90],"adversarial":[92,164],"learning.":[93],"Moreover,":[94],"CAAE":[95],"presented":[97],"better":[101],"Global":[108],"Local":[110],"Channel-wise":[111],"Attention":[112],"(GLCA),":[113],"proposed":[116,195],"reweight":[118],"global":[120],"local":[122],"information":[123],"different":[125],"channels.":[126],"Given":[127],"sample,":[129],"representation":[133],"<inline-formula":[134,167],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[135,168],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[136,169],"<tex-math":[137,170],"notation=\"LaTeX\">$z$":[138,171],"</tex-math></inline-formula>":[139,172],"firstly":[144],"obtained":[145],"encoder":[147],"with":[148,183,202],"GLCA.":[149,184],"Next,":[150],"output":[152],"applied":[156],"constrain":[158],"loss.":[165],"Further,":[166],"transformed":[174],"into":[175],"decoder":[177],"reconstruct":[179],"given":[181],"Experiments":[185],"on":[186],"three":[187],"available":[188],"datasets":[189],"demonstrates":[190],"effectiveness":[192],"method,":[196],"achieves":[198],"state-of-the-art":[199],"performance":[200],"compared":[201],"other":[203],"methods.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
