{"id":"https://openalex.org/W4406264492","doi":"https://doi.org/10.1109/cifer62890.2024.10772906","title":"Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection","display_name":"Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4406264492","doi":"https://doi.org/10.1109/cifer62890.2024.10772906"},"language":"en","primary_location":{"id":"doi:10.1109/cifer62890.2024.10772906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cifer62890.2024.10772906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr)","raw_type":"proceedings-article"},"type":"article","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/A5076646852","display_name":"Yelleti Vivek","orcid":"https://orcid.org/0000-0002-8387-6432"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yelleti Vivek","raw_affiliation_strings":["Institute for Development and Research in Banking,Hyderabad,Telangana,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Development and Research in Banking,Hyderabad,Telangana,India","institution_ids":["https://openalex.org/I150312865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073505371","display_name":"Vadlamani Ravi","orcid":"https://orcid.org/0000-0003-0082-6227"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vadlamani Ravi","raw_affiliation_strings":["Institute for Development and Research in Banking,Hyderabad,Telangana,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Development and Research in Banking,Hyderabad,Telangana,India","institution_ids":["https://openalex.org/I150312865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016102503","display_name":"Abhay Anand Mane","orcid":null},"institutions":[{"id":"https://openalex.org/I1331500379","display_name":"Centre for Development of Advanced Computing","ror":"https://ror.org/022abst40","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1331500379","https://openalex.org/I4210121746"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhay Mane","raw_affiliation_strings":["Center for Development of Advanced Computing,Bangalore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Development of Advanced Computing,Bangalore,Karnataka,India","institution_ids":["https://openalex.org/I1331500379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007491955","display_name":"Laveti Ramesh Naidu","orcid":null},"institutions":[{"id":"https://openalex.org/I1331500379","display_name":"Centre for Development of Advanced Computing","ror":"https://ror.org/022abst40","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1331500379","https://openalex.org/I4210121746"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Laveti Ramesh Naidu","raw_affiliation_strings":["Center for Development of Advanced Computing,Bangalore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Development of Advanced Computing,Bangalore,Karnataka,India","institution_ids":["https://openalex.org/I1331500379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3892,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84970392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9868000149726868,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9868000149726868,"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":0.6515666246414185},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6165478825569153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734063982963562},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5055580139160156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3685075640678406},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.20587500929832458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08898976445198059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515666246414185},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6165478825569153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734063982963562},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5055580139160156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3685075640678406},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.20587500929832458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08898976445198059}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cifer62890.2024.10772906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cifer62890.2024.10772906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Gaining":[0],"the":[1,10,14,73,81,102,105,132,135,155],"empathy":[2],"and":[3,49,87,113,128,139,150,159],"trust":[4],"of":[5,17,22,51,75,104,111,122,126],"customers":[6],"is":[7,27,131],"paramount":[8],"in":[9,32,39,154],"financial":[11],"domain.":[12],"However,":[13],"recurring":[15],"occurrence":[16],"fraudulent":[18],"activities":[19],"undermines":[20],"both":[21],"these":[23,58],"factors.":[24],"ATM":[25,62],"fraud":[26,40,47,156],"a":[28],"prevalent":[29],"issue":[30],"faced":[31],"today's":[33],"banking":[34],"landscape.":[35],"The":[36],"critical":[37],"challenges":[38],"datasets":[41],"are":[42],"highly":[43],"imbalanced":[44],"datasets,":[45],"evolving":[46],"patterns,":[48],"lack":[50],"explainability.":[52],"In":[53,68,124],"this":[54],"study,":[55],"we":[56,71,166],"handled":[57],"techniques":[59,106],"on":[60],"an":[61,109,120],"transaction":[63],"dataset":[64],"collected":[65],"from":[66],"India.":[67],"binary":[69],"classification,":[70],"investigated":[72],"effectiveness":[74],"various":[76,163],"over-sampling":[77],"techniques,":[78],"such":[79],"as":[80],"Synthetic":[82],"Minority":[83],"Oversampling":[84],"Technique":[85],"(SMOTE)":[86],"its":[88,140],"variants,":[89],"Generative":[90],"Adversarial":[91],"Networks":[92],"(GAN),":[93],"to":[94],"achieve":[95],"oversampling.":[96],"Gradient":[97],"Boosting":[98],"Tree":[99,115],"(GBT),":[100],"outperformed":[101],"rest":[103],"by":[107],"achieving":[108],"AUC":[110,121],"0.963,":[112],"Decision":[114],"(DT)":[116],"stands":[117],"second":[118],"with":[119],"0.958.":[123],"terms":[125],"complexity":[127],"interpretability,":[129],"DT":[130],"winner.":[133],"Among":[134],"oversampling":[136],"approaches,":[137],"SMOTE":[138],"variants":[141],"performed":[142],"better.":[143],"We":[144],"incorporated":[145],"explainable":[146],"artificial":[147],"intelligence":[148],"(XAI)":[149],"Causal":[151],"Inference":[152],"(CI)":[153],"detection":[157],"framework":[158],"studied":[160],"them":[161],"via":[162],"analyses.":[164],"Further,":[165],"provided":[167],"managerial":[168],"impact.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
