{"id":"https://openalex.org/W4281823731","doi":"https://doi.org/10.1145/3514221.3520162","title":"CFDB: Machine Learning Model Analysis via Databases of CounterFactuals","display_name":"CFDB: Machine Learning Model Analysis via Databases of CounterFactuals","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281823731","doi":"https://doi.org/10.1145/3514221.3520162"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3520162","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3520162","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/A5082733037","display_name":"Idan Meyuhas","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Idan Meyuhas","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063791898","display_name":"Aviv Ben Arie","orcid":null},"institutions":[{"id":"https://openalex.org/I88773910","display_name":"Intuit (United States)","ror":"https://ror.org/049mrbr98","country_code":"US","type":"company","lineage":["https://openalex.org/I88773910"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aviv Ben Arie","raw_affiliation_strings":["Intuit Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intuit Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I88773910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034978638","display_name":"Yair Horesh","orcid":"https://orcid.org/0000-0003-1837-6551"},"institutions":[{"id":"https://openalex.org/I88773910","display_name":"Intuit (United States)","ror":"https://ror.org/049mrbr98","country_code":"US","type":"company","lineage":["https://openalex.org/I88773910"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yair Horesh","raw_affiliation_strings":["Intuit Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intuit Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I88773910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073835385","display_name":"Daniel Deutch","orcid":"https://orcid.org/0009-0001-0838-0162"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Deutch","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082733037"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0383538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2401","last_page":"2404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9961000084877014,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9961000084877014,"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":0.9799000024795532,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.972100019454956,"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/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.9349768161773682},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.8554314374923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7986025810241699},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6039407253265381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5817551612854004},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5502696633338928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.538012683391571},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4549623429775238},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32646411657333374},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18140292167663574},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09937331080436707}],"concepts":[{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.9349768161773682},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8554314374923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7986025810241699},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6039407253265381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817551612854004},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5502696633338928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.538012683391571},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4549623429775238},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32646411657333374},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18140292167663574},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09937331080436707},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3514221.3520162","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3520162","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":[],"awards":[{"id":"https://openalex.org/G412927656","display_name":null,"funder_award_id":"804302","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2765204106","https://openalex.org/W2945295328","https://openalex.org/W2973319951","https://openalex.org/W3012073198","https://openalex.org/W3103795814","https://openalex.org/W3104149808","https://openalex.org/W3105449709","https://openalex.org/W3167062819","https://openalex.org/W3186135811","https://openalex.org/W3202810143","https://openalex.org/W4287186718","https://openalex.org/W4298235707"],"related_works":["https://openalex.org/W2056582926","https://openalex.org/W3137864021","https://openalex.org/W2162910442","https://openalex.org/W2079879923","https://openalex.org/W4200271736","https://openalex.org/W2104420793","https://openalex.org/W3017854570","https://openalex.org/W2028689793","https://openalex.org/W4242448314","https://openalex.org/W3028884462"],"abstract_inverted_index":{"Data":[0,27],"Scientists":[1,28],"often":[2],"design":[3],"and":[4,109],"train":[5],"complex":[6],"Machine":[7],"Learning":[8],"models":[9,36],"that":[10,75],"evolve":[11],"over":[12],"time":[13],"due":[14],"to":[15,65,72,77,112],"re-training":[16],"on":[17,49,97,116],"new":[18],"data,":[19],"a":[20,66,78],"revised":[21],"architecture,":[22],"or":[23],"both.":[24],"To":[25],"assist":[26],"in":[29,106,119],"this":[30],"process,":[31],"many":[32],"methods":[33],"for":[34,44,94],"analyzing":[35],"have":[37],"been":[38],"recently":[39],"developed.":[40],"A":[41,54,82],"prominent":[42],"approach":[43],"model":[45,64,99],"analysis":[46,124],"is":[47],"based":[48,115],"the":[50,59,63,73,90,98,120],"notion":[51],"of":[52,85,92,122],"Counterfactuals.":[53],"counterfactual":[55],"(CF)":[56],"intuitively":[57],"explains":[58],"label":[60],"assigned":[61],"by":[62,69],"particular":[67],"instance":[68,74],"identifying":[70],"perturbations":[71],"lead":[76],"different":[79,123],"predicted":[80],"label.":[81],"large":[83],"body":[84],"recent":[86],"literature":[87],"has":[88],"demonstrated":[89],"usefulness":[91],"CFs":[93,104],"deriving":[95],"insights":[96],"at":[100],"large.":[101],"The":[102],"analyzed":[103],"come":[105],"various":[107,117],"flavors":[108],"are":[110],"applied":[111],"instances":[113],"chosen":[114],"criteria,":[118],"context":[121],"goals.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}