{"id":"https://openalex.org/W4398186487","doi":"https://doi.org/10.1145/3605098.3636089","title":"Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action","display_name":"Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4398186487","doi":"https://doi.org/10.1145/3605098.3636089"},"language":"en","primary_location":{"id":"doi:10.1145/3605098.3636089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3636089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","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/A5093680612","display_name":"Emanuele Luzio","orcid":"https://orcid.org/0009-0008-7327-5917"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Emanuele Luzio","raw_affiliation_strings":["Mercado Libre, Montevideo, Uruguay"],"affiliations":[{"raw_affiliation_string":"Mercado Libre, Montevideo, Uruguay","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029845097","display_name":"Moacir Antonelli Ponti","orcid":"https://orcid.org/0000-0003-2059-9463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moacir Ponti","raw_affiliation_strings":["Mercado Livre, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Mercado Livre, Sao Paulo, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007811005","display_name":"C. Bonilla Ramirez","orcid":"https://orcid.org/0009-0007-1916-6659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Ramirez","raw_affiliation_strings":["Mercado Libre, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Mercado Libre, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067255113","display_name":"Luis Argerich","orcid":"https://orcid.org/0009-0003-3333-1594"},"institutions":[{"id":"https://openalex.org/I4210111270","display_name":"MercadoLibre (Argentina)","ror":"https://ror.org/01zak2017","country_code":"AR","type":"company","lineage":["https://openalex.org/I4210111270"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Luis Argerich","raw_affiliation_strings":["Mercado Libre, Buenos Aires, Argentina"],"affiliations":[{"raw_affiliation_string":"Mercado Libre, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I4210111270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093680612"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05482516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1036","last_page":"1037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5264000296592712,"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":0.5264000296592712,"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/classifier","display_name":"Classifier (UML)","score":0.5957192778587341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5777319669723511},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.522128164768219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42803096771240234},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4167943298816681},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1727047860622406},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.12035274505615234}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5957192778587341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5777319669723511},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.522128164768219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42803096771240234},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4167943298816681},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1727047860622406},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.12035274505615234},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605098.3636089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3636089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W566895207","https://openalex.org/W2012942264","https://openalex.org/W2018435387","https://openalex.org/W2043779491","https://openalex.org/W2548695521","https://openalex.org/W2559655401","https://openalex.org/W4310396268","https://openalex.org/W6847323982"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4313561376","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2390279801","https://openalex.org/W2004102934"],"abstract_inverted_index":{"Machine":[0],"learning":[1,54],"models":[2,23],"typically":[3],"focus":[4],"on":[5,13],"specific":[6],"targets":[7],"like":[8],"creating":[9],"classifiers,":[10],"often":[11],"based":[12],"known":[14],"population":[15],"feature":[16],"distributions":[17],"in":[18,116],"a":[19,70,74],"business":[20,61,76],"context.":[21],"However,":[22],"calculating":[24],"individual":[25],"features":[26],"adapt":[27],"over":[28],"time":[29],"to":[30,42,99],"improve":[31],"precision,":[32],"introducing":[33],"the":[34,85,91,106],"concept":[35],"of":[36,90],"decoupling:":[37],"shifting":[38],"from":[39,57],"point":[40],"evaluation":[41],"data":[43],"distribution.":[44],"We":[45],"use":[46],"calibration":[47,110],"strategies":[48],"as":[49],"strategy":[50],"for":[51,96,114],"decoupling":[52,102],"machine":[53],"(ML)":[55],"classifiers":[56],"score-based":[58],"actions":[59],"within":[60],"logic":[62],"frameworks.":[63],"To":[64],"evaluate":[65],"these":[66],"strategies,":[67],"we":[68],"perform":[69],"comparative":[71],"analysis":[72],"using":[73],"real-world":[75],"scenario":[77],"and":[78,87,108,123],"multiple":[79],"ML":[80],"models.":[81],"Our":[82],"findings":[83],"highlight":[84],"trade-offs":[86],"performance":[88],"implications":[89],"approach,":[92],"offering":[93],"valuable":[94],"insights":[95],"practitioners":[97],"seeking":[98],"optimize":[100],"their":[101],"efforts.":[103],"In":[104],"particular,":[105],"Isotonic":[107],"Beta":[109],"methods":[111],"stand":[112],"out":[113],"scenarios":[115],"which":[117],"there":[118],"is":[119],"shift":[120],"between":[121],"training":[122],"testing":[124],"data.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}