{"id":"https://openalex.org/W2911672077","doi":"https://doi.org/10.1109/ijcnn.2019.8851808","title":"Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection","display_name":"Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2911672077","doi":"https://doi.org/10.1109/ijcnn.2019.8851808","mag":"2911672077"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.08954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038518813","display_name":"Samet Ak\u00e7ay","orcid":"https://orcid.org/0000-0003-3334-7118"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Samet Akcay","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013030358","display_name":"Amir Atapour\u2013Abarghouei","orcid":"https://orcid.org/0000-0002-4242-4579"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Atapour-Abarghouei","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045115593","display_name":"Toby P. Breckon","orcid":"https://orcid.org/0000-0003-1666-7590"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toby P. Breckon","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, UK","Durham University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, UK","institution_ids":["https://openalex.org/I190082696"]},{"raw_affiliation_string":"Durham University","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038518813"],"corresponding_institution_ids":["https://openalex.org/I190082696"],"apc_list":null,"apc_paid":null,"fwci":7.8121,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.97823116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.993399977684021,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8737568855285645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6403740644454956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6044301390647888},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5960155129432678},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.595380425453186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5917637944221497},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5318723917007446},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.44814392924308777},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44614970684051514},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41747233271598816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2231258749961853},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10138362646102905}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8737568855285645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403740644454956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6044301390647888},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5960155129432678},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.595380425453186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5917637944221497},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5318723917007446},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44814392924308777},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44614970684051514},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41747233271598816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2231258749961853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10138362646102905},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.08954","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.08954","pdf_url":"https://arxiv.org/pdf/1901.08954","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2911672077","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1901.08954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1901.08954","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.08954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.08954","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.08954","pdf_url":"https://arxiv.org/pdf/1901.08954","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1499399937","https://openalex.org/W1514907448","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2084512860","https://openalex.org/W2095345875","https://openalex.org/W2099471712","https://openalex.org/W2115627867","https://openalex.org/W2122646361","https://openalex.org/W2125389028","https://openalex.org/W2137130182","https://openalex.org/W2173520492","https://openalex.org/W2278186031","https://openalex.org/W2533835508","https://openalex.org/W2599354622","https://openalex.org/W2739748921","https://openalex.org/W2765811365","https://openalex.org/W2787947370","https://openalex.org/W2792998389","https://openalex.org/W2899771611","https://openalex.org/W2949117887","https://openalex.org/W2962808998","https://openalex.org/W2962879692","https://openalex.org/W2963061824","https://openalex.org/W2963105487","https://openalex.org/W2963226019","https://openalex.org/W2963265008","https://openalex.org/W2963373786","https://openalex.org/W2964032056","https://openalex.org/W2964121744","https://openalex.org/W2964201867","https://openalex.org/W2964240153","https://openalex.org/W6630611256","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6714590955","https://openalex.org/W6715501732","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6730032319","https://openalex.org/W6732249622","https://openalex.org/W6734007871","https://openalex.org/W6735108248","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6748495906","https://openalex.org/W6751917112","https://openalex.org/W6756040250","https://openalex.org/W6780248173","https://openalex.org/W6898611122"],"related_works":["https://openalex.org/W2978971541","https://openalex.org/W2599354622","https://openalex.org/W2946576587","https://openalex.org/W2099471712","https://openalex.org/W3111298126","https://openalex.org/W3117270914","https://openalex.org/W2986537531","https://openalex.org/W3093126594","https://openalex.org/W2906498146","https://openalex.org/W3171105608","https://openalex.org/W3020939972","https://openalex.org/W3174028671","https://openalex.org/W3034335030","https://openalex.org/W3199265481","https://openalex.org/W944342821","https://openalex.org/W3197704984","https://openalex.org/W3145357517","https://openalex.org/W3169490769","https://openalex.org/W3200228977","https://openalex.org/W3131739210"],"abstract_inverted_index":{"Despite":[0],"inherent":[1],"ill-definition,":[2],"anomaly":[3,22,48,89,222],"detection":[4,23,28,49,90,223],"is":[5,24,51,55],"a":[6,32,66,164,208,242],"research":[7],"endeavour":[8],"of":[9,29,40,68,78,107,138,192,207,216,232,240],"great":[10],"interest":[11],"within":[12,31,160,175,229],"machine":[13],"learning":[14,81],"and":[15,62,110,163,179,202,225],"visual":[16],"scene":[17],"understanding":[18],"alike.":[19],"Most":[20],"commonly,":[21],"considered":[25],"as":[26,194],"the":[27,76,95,104,108,135,139,171,177,186,190,230,237],"outliers":[30],"given":[33],"data":[34,54,141],"distribution":[35,106,137,142,191],"based":[36,114],"on":[37,94,115],"some":[38],"measure":[39],"normality.":[41],"The":[42],"most":[43,65],"significant":[44],"challenge":[45],"in":[46,100,143],"real-world":[47,227],"problems":[50],"that":[52],"available":[53],"highly":[56],"imbalanced":[57],"towards":[58],"normality":[59,105,193],"(i.e.":[60],"non-anomalous)":[61],"contains":[63],"at":[64],"sub-set":[67],"all":[69],"possible":[70],"anomalous":[71],"samples":[72,99],"-":[73],"hence":[74,111,214],"limiting":[75],"use":[77],"well-established":[79],"supervised":[80],"methods.":[82],"By":[83],"contrast,":[84],"we":[85],"introduce":[86],"an":[87,124,148,217],"unsupervised":[88],"model,":[91],"trained":[92],"only":[93],"normal":[96,140,212],"(non-anomalous,":[97],"plentiful)":[98],"order":[101],"to":[102,132,188],"learn":[103,189],"domain,":[109],"detect":[112],"abnormality":[113],"deviation":[116,209],"from":[117,210],"this":[118,153,211],"model.":[119],"Our":[120],"proposed":[121,243],"approach":[122],"employs":[123],"encoder-decoder":[125],"convolutional":[126],"neural":[127],"network":[128],"with":[129],"skip":[130],"connections":[131],"thoroughly":[133],"capture":[134],"multi-scale":[136],"image":[144,161,178],"space.":[145],"Furthermore,":[146],"utilizing":[147],"adversarial":[149],"training":[150,184],"scheme":[151],"for":[152],"chosen":[154],"architecture":[155],"provides":[156],"superior":[157],"reconstruction":[158,172,197],"both":[159,176],"space":[162,168],"lower-dimensional":[165],"embedding":[166],"vector":[167,181],"encoding.":[169],"Minimizing":[170],"error":[173],"metric":[174],"hidden":[180],"spaces":[182],"during":[183,199],"aids":[185],"model":[187],"required.":[195],"Higher":[196],"metrics":[198],"subsequent":[200],"test":[201],"deployment":[203],"are":[204],"thus":[205],"indicative":[206,215],"distribution,":[213],"anomaly.":[218],"Experimentation":[219],"over":[220],"established":[221],"benchmarks":[224],"challenging":[226],"datasets,":[228],"context":[231],"X-ray":[233],"security":[234],"screening,":[235],"shows":[236],"unique":[238],"promise":[239],"such":[241],"approach.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-30T00:00:00"}
