{"id":"https://openalex.org/W4281788841","doi":"https://doi.org/10.1145/3514221.3517904","title":"FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget","display_name":"FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281788841","doi":"https://doi.org/10.1145/3514221.3517904"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3517904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517904","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","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":"Proceedings of the 2022 International Conference on Management of Data","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/A5064150604","display_name":"Naiqing Guan","orcid":"https://orcid.org/0000-0001-5170-8277"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Naiqing Guan","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035257754","display_name":"Nick Koudas","orcid":"https://orcid.org/0000-0001-5648-0638"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Koudas","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064150604"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24843784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1784","last_page":"1794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973999857902527,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9973999857902527,"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":0.9908000230789185,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9904000163078308,"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/audit","display_name":"Audit","score":0.8380991220474243},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7857980728149414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577987909317017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6210952997207642},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5280956625938416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5208964347839355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5139684081077576},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4618704617023468},{"id":"https://openalex.org/keywords/labelling","display_name":"Labelling","score":0.41381901502609253},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2215939164161682},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.22078296542167664},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11715757846832275}],"concepts":[{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.8380991220474243},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7857980728149414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577987909317017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6210952997207642},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5280956625938416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5208964347839355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5139684081077576},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4618704617023468},{"id":"https://openalex.org/C2780523633","wikidata":"https://www.wikidata.org/wiki/Q380709","display_name":"Labelling","level":2,"score":0.41381901502609253},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2215939164161682},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.22078296542167664},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11715757846832275},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3514221.3517904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517904","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","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":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3625084283","display_name":null,"funder_award_id":"456388","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1967879792","https://openalex.org/W1980032585","https://openalex.org/W1981590391","https://openalex.org/W2015731569","https://openalex.org/W2036735563","https://openalex.org/W2045685519","https://openalex.org/W2054779505","https://openalex.org/W2072883612","https://openalex.org/W2093217068","https://openalex.org/W2098740506","https://openalex.org/W2102665362","https://openalex.org/W2107966677","https://openalex.org/W2115536324","https://openalex.org/W2116917894","https://openalex.org/W2128511958","https://openalex.org/W2139990538","https://openalex.org/W2159209451","https://openalex.org/W2177870565","https://openalex.org/W2342632098","https://openalex.org/W2583993537","https://openalex.org/W2592734881","https://openalex.org/W2609795610","https://openalex.org/W2767681556","https://openalex.org/W2798649495","https://openalex.org/W2963905884","https://openalex.org/W2964213576","https://openalex.org/W2985449513","https://openalex.org/W3013103751","https://openalex.org/W3014393908","https://openalex.org/W3014705052","https://openalex.org/W3029701880","https://openalex.org/W3100944043","https://openalex.org/W3105771849","https://openalex.org/W3106020963","https://openalex.org/W3121632328","https://openalex.org/W3123375411","https://openalex.org/W3138971549","https://openalex.org/W4206275166","https://openalex.org/W4236039924","https://openalex.org/W4249033934","https://openalex.org/W6679102821"],"related_works":["https://openalex.org/W1525479493","https://openalex.org/W1976633635","https://openalex.org/W2396436470","https://openalex.org/W1970064489","https://openalex.org/W4241622628","https://openalex.org/W1991894391","https://openalex.org/W2070829827","https://openalex.org/W2078502149","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"is":[3,13],"increasingly":[4],"adopted":[5],"in":[6],"industrial":[7],"applications.":[8],"Typically,":[9],"a":[10,24],"ML":[11],"pipeline":[12],"instantiated":[14],"to":[15],"automate":[16],"the":[17,27],"process":[18],"of":[19],"collecting":[20],"training":[21,23],"data,":[22],"model,":[25],"auditing":[26],"model":[28],"accuracy":[29],"and":[30],"generating":[31],"predictions.":[32]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}