{"id":"https://openalex.org/W2944170898","doi":"https://doi.org/10.23919/elinfocom.2019.8706354","title":"Fraud Detection with Multi-Modal Attention and Correspondence Learning","display_name":"Fraud Detection with Multi-Modal Attention and Correspondence Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944170898","doi":"https://doi.org/10.23919/elinfocom.2019.8706354","mag":"2944170898"},"language":"en","primary_location":{"id":"doi:10.23919/elinfocom.2019.8706354","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706354","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100721990","display_name":"Jongchan Park","orcid":"https://orcid.org/0000-0001-9808-6823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jongchan Park","raw_affiliation_strings":["Lunit Inc., Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lunit Inc., Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568272","display_name":"Min-Hyun Kim","orcid":"https://orcid.org/0000-0002-6897-7243"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Hyun Kim","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016427889","display_name":"Seibum B. Choi","orcid":"https://orcid.org/0000-0002-8555-4429"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seibum Choi","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012455275","display_name":"In So Kweon","orcid":"https://orcid.org/0000-0001-9626-5983"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In So Kweon","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001991322","display_name":"Dong\u2010Geol Choi","orcid":"https://orcid.org/0000-0002-3345-5306"},"institutions":[{"id":"https://openalex.org/I145808223","display_name":"Hanbat National University","ror":"https://ror.org/00x514t95","country_code":"KR","type":"education","lineage":["https://openalex.org/I145808223"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Geol Choi","raw_affiliation_strings":["Hanbat Nat'l University, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanbat Nat'l University, Daejeon, Korea","institution_ids":["https://openalex.org/I145808223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6561,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74060631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9972000122070312,"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":0.9957000017166138,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.8290241360664368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110486268997192},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7399359941482544},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6786392331123352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6598926782608032},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6148545742034912},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6024793982505798},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5686352252960205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5679101943969727},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5557132959365845},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5430701375007629},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5330074429512024},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.455101877450943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3840312957763672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08546125888824463}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8290241360664368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110486268997192},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7399359941482544},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6786392331123352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6598926782608032},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6148545742034912},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6024793982505798},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5686352252960205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5679101943969727},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5557132959365845},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5430701375007629},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5330074429512024},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.455101877450943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840312957763672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08546125888824463},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/elinfocom.2019.8706354","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706354","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1861492603","https://openalex.org/W1933349210","https://openalex.org/W2088833452","https://openalex.org/W2096371639","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2413439537","https://openalex.org/W2463565445","https://openalex.org/W2619697695","https://openalex.org/W2736899637","https://openalex.org/W2747804831","https://openalex.org/W2752782242","https://openalex.org/W2776514146","https://openalex.org/W2963115079","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963542245","https://openalex.org/W2963557656","https://openalex.org/W2963668159","https://openalex.org/W2963954913","https://openalex.org/W2963956866","https://openalex.org/W6630875275","https://openalex.org/W6684191040","https://openalex.org/W6719057275","https://openalex.org/W6719080892","https://openalex.org/W6743731764"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Deep":[0],"learning":[1,89,108],"based":[2],"recognition":[3],"systems":[4],"have":[5],"shown":[6],"high":[7,189],"performances":[8],"in":[9,44,134],"various":[10],"tasks.":[11],"Most":[12],"of":[13,50],"them":[14],"are":[15,23,37,168],"single-modality":[16],"based,":[17],"using":[18],"camera":[19],"inputs":[20,30,52,59,81,120,185],"only,":[21],"thus":[22,116],"vulnerable":[24],"to":[25,39,57,126,144,182],"look-alike":[26],"fraud":[27,58,119,184],"inputs.":[28],"Fraud":[29],"may":[31],"frequently":[32],"be":[33,54],"abused":[34],"when":[35],"rewards":[36],"given":[38,149,193],"the":[40,66,95,106,110,131,141,192],"users,":[41],"such":[42],"as":[43],"reverse":[45,136],"vending":[46,137],"machines.":[47],"Joint":[48],"use":[49],"multi-modal":[51,80],"can":[53,97,117,179],"a":[55,74,87,135,171,188],"solution":[56],"since":[60],"modalities":[61,122,163],"contain":[62],"different":[63,162],"information":[64],"about":[65],"target":[67],"task.":[68,195],"In":[69],"this":[70],"work,":[71],"we":[72,173],"propose":[73],"deep":[75],"neural":[76],"network":[77,96,111],"that":[78,175],"utilizes":[79],"with":[82,105],"an":[83,92],"attention":[84,93],"mechanism":[85],"and":[86,115,156,166],"correspondence":[88,107],"scheme.":[90],"With":[91],"mechanism,":[94],"learn":[98,181],"better":[99],"feature":[100],"representation":[101],"for":[102,191],"multiple":[103],"modalities;":[104],"scheme,":[109],"learns":[112],"intermodal":[113],"relationships":[114],"detect":[118,183],"where":[121,140],"do":[123],"not":[124],"correspond":[125],"each":[127],"other.":[128],"We":[129],"investigate":[130],"proposed":[132,177],"approach":[133],"machine":[138],"system,":[139],"task":[142],"is":[143],"perform":[145],"classification":[146,194],"among":[147],"3":[148],"classes":[150],"(can,":[151],"PET":[152],"bottles,":[153],"glass":[154],"bottles),":[155],"reject":[157],"any":[158],"suspicious":[159],"input.":[160],"Three":[161],"(image,":[164],"ultrasound,":[165],"weight)":[167],"used.":[169],"As":[170],"result,":[172],"show":[174],"our":[176],"model":[178],"effectively":[180],"while":[186],"maintaining":[187],"accuracy":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}