{"id":"https://openalex.org/W3019876685","doi":"https://doi.org/10.1007/978-3-030-44584-3_2","title":"Dual Sequential Variational Autoencoders for Fraud Detection","display_name":"Dual Sequential Variational Autoencoders for Fraud Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3019876685","doi":"https://doi.org/10.1007/978-3-030-44584-3_2","mag":"3019876685"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-44584-3_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_2","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-44584-3_2.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-44584-3_2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051641212","display_name":"Ayman Alazizi","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ayman Alazizi","raw_affiliation_strings":["Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France","Worldline, 95870, Bezons, France"],"affiliations":[{"raw_affiliation_string":"Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I4210085887"]},{"raw_affiliation_string":"Worldline, 95870, Bezons, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803328","display_name":"Amaury Habrard","orcid":"https://orcid.org/0000-0003-3038-9347"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amaury Habrard","raw_affiliation_strings":["Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I4210085887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029553022","display_name":"Fran\u00e7ois Jacquenet","orcid":"https://orcid.org/0000-0002-0653-0710"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Jacquenet","raw_affiliation_strings":["Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Univ. Lyon, Univ. St-Etienne, UMR CNRS 5516, Laboratoire Hubert-Curien, 42000, Saint-Etienne, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I4210085887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033128136","display_name":"Liyun He-Guelton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liyun He-Guelton","raw_affiliation_strings":["Worldline, 95870, Bezons, France"],"affiliations":[{"raw_affiliation_string":"Worldline, 95870, Bezons, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024363057","display_name":"Fr\u00e9d\u00e9ric Obl\u00e9","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Obl\u00e9","raw_affiliation_strings":["Worldline, 95870, Bezons, France"],"affiliations":[{"raw_affiliation_string":"Worldline, 95870, Bezons, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051641212"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I4210085887"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.0991,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79639216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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":0.9980999827384949,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9980999827384949,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9625999927520752,"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/computer-science","display_name":"Computer science","score":0.8449957370758057},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.8209121227264404},{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.6773800253868103},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6502419710159302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6158726215362549},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5899500846862793},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5492050051689148},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.517510175704956},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.48447275161743164},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48375487327575684},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4627988040447235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43702933192253113},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42443203926086426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4029759168624878},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.21329107880592346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8449957370758057},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.8209121227264404},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.6773800253868103},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6502419710159302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6158726215362549},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5899500846862793},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5492050051689148},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.517510175704956},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.48447275161743164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48375487327575684},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4627988040447235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43702933192253113},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42443203926086426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4029759168624878},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.21329107880592346},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-44584-3_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_2","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-44584-3_2.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-02900252v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02900252","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"18th International Symposium on Intelligent Data Analysis (IDA), 2020, Konstanz, Germany. pp.14-26, ⟨10.1007/978-3-030-44584-3_2⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-44584-3_2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-44584-3_2","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-44584-3_2.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3019876685.pdf","grobid_xml":"https://content.openalex.org/works/W3019876685.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W2015887370","https://openalex.org/W2122646361","https://openalex.org/W2150884987","https://openalex.org/W2230049528","https://openalex.org/W2234492624","https://openalex.org/W2341058432","https://openalex.org/W2398119937","https://openalex.org/W2533835508","https://openalex.org/W2766042539","https://openalex.org/W2786088545","https://openalex.org/W2786577118","https://openalex.org/W2803674491","https://openalex.org/W2963046013","https://openalex.org/W2963061824","https://openalex.org/W2964022491","https://openalex.org/W2969836179","https://openalex.org/W2970146637","https://openalex.org/W3006110455","https://openalex.org/W3022436500","https://openalex.org/W6603283563"],"related_works":["https://openalex.org/W4224237387","https://openalex.org/W2483711049","https://openalex.org/W3150316110","https://openalex.org/W3153799676","https://openalex.org/W4313247660","https://openalex.org/W2984276143","https://openalex.org/W4281702918","https://openalex.org/W4283392145","https://openalex.org/W3111672143","https://openalex.org/W2942788488"],"abstract_inverted_index":{"Fraud":[0],"detection":[1],"is":[2,31,36],"an":[3],"important":[4,17],"research":[5],"area":[6],"where":[7],"machine":[8],"learning":[9],"has":[10],"a":[11,54,75,89,106],"significant":[12],"role":[13],"to":[14,91,120],"play.":[15],"An":[16],"task":[18],"in":[19,43,124],"that":[20,51,57,72,83],"context,":[21],"on":[22,105],"which":[23],"the":[24,27,48,61,65,79,111,115],"quality":[25],"of":[26,53,64,78,117],"results":[28],"obtained":[29],"depends,":[30],"feature":[32,130],"engineering.":[33],"Unfortunately,":[34],"this":[35,44],"very":[37],"time":[38],"and":[39],"human":[40],"consuming.":[41],"Thus,":[42],"article,":[45],"we":[46,102],"present":[47],"DuSVAE":[49],"model":[50,56],"consists":[52],"generative":[55],"takes":[58],"into":[59],"account":[60],"sequential":[62,81],"nature":[63],"data.":[66],"It":[67],"combines":[68],"two":[69],"variational":[70],"autoencoders":[71],"can":[73,84],"generate":[74],"condensed":[76],"representation":[77],"input":[80],"data":[82],"then":[85],"be":[86],"processed":[87],"by":[88],"classifier":[90],"label":[92],"each":[93],"new":[94],"sequence":[95],"as":[96],"fraudulent":[97],"or":[98],"genuine.":[99],"The":[100],"experiments":[101],"carried":[103],"out":[104],"large":[107],"real-word":[108],"dataset,":[109],"from":[110],"Worldline":[112],"company,":[113],"demonstrate":[114],"ability":[116],"our":[118],"system":[119],"better":[121],"detect":[122],"frauds":[123],"credit":[125],"card":[126],"transactions":[127],"without":[128],"any":[129],"engineering":[131],"effort.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}