{"id":"https://openalex.org/W4297459698","doi":"https://doi.org/10.1109/tvcg.2022.3209489","title":"Calibrate: Interactive Analysis of Probabilistic Model Output","display_name":"Calibrate: Interactive Analysis of Probabilistic Model Output","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4297459698","doi":"https://doi.org/10.1109/tvcg.2022.3209489","pmid":"https://pubmed.ncbi.nlm.nih.gov/36166523"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2022.3209489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3209489","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/TVCG.2022.3209489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036139759","display_name":"Peter Xenopoulos","orcid":"https://orcid.org/0000-0001-8594-3400"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Xenopoulos","raw_affiliation_strings":["New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031297466","display_name":"Jo\u00e3o Rulff","orcid":"https://orcid.org/0000-0003-3341-7059"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joao Rulff","raw_affiliation_strings":["New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011424640","display_name":"Lu\u00eds Gustavo Nonato","orcid":"https://orcid.org/0000-0002-8514-8033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Gustavo Nonato","raw_affiliation_strings":["ICMC-USP, S&#x00E3;o Carlos, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-8514-8033","affiliations":[{"raw_affiliation_string":"ICMC-USP, S&#x00E3;o Carlos, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071156124","display_name":"Brian Barr","orcid":"https://orcid.org/0000-0002-4424-3448"},"institutions":[{"id":"https://openalex.org/I1305444813","display_name":"Capital One (United States)","ror":"https://ror.org/00svp7168","country_code":"US","type":"company","lineage":["https://openalex.org/I1305444813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Barr","raw_affiliation_strings":["Capital One, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital One, USA","institution_ids":["https://openalex.org/I1305444813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003584200","display_name":"Claudio Silva","orcid":"https://orcid.org/0000-0003-2452-2295"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claudio Silva","raw_affiliation_strings":["New York University, USA"],"raw_orcid":"https://orcid.org/0000-0003-2452-2295","affiliations":[{"raw_affiliation_string":"New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9291,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87446235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"853","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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/T13398","display_name":"Data Analysis with R","score":0.9836000204086304,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7800499796867371},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5901263356208801},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.47656798362731934},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4181348383426666},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.39824050664901733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3697776794433594},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3518522083759308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.326302707195282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800499796867371},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5901263356208801},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.47656798362731934},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4181348383426666},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.39824050664901733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3697776794433594},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3518522083759308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.326302707195282}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2022.3209489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3209489","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:36166523","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36166523","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:003120203","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TVCG.2022.3209489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:USP","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:003120203","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TVCG.2022.3209489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:USP","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1441271017","display_name":null,"funder_award_id":"2013/ 07375-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3647335466","display_name":null,"funder_award_id":"CNS-1730396","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4286874495","display_name":null,"funder_award_id":"CNS-1544753","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4322530844","display_name":null,"funder_award_id":"CNS-1828576","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4711686421","display_name":null,"funder_award_id":"CNS-1229185","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G48362556","display_name":null,"funder_award_id":"CCF1533564","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671919630","display_name":null,"funder_award_id":"CNS-1626098","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7438217606","display_name":null,"funder_award_id":"307184/2021-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1213593253","https://openalex.org/W1517796226","https://openalex.org/W1540419678","https://openalex.org/W1598033630","https://openalex.org/W1599263113","https://openalex.org/W1618905105","https://openalex.org/W1841840321","https://openalex.org/W2002471330","https://openalex.org/W2012457675","https://openalex.org/W2012942264","https://openalex.org/W2022860576","https://openalex.org/W2028276885","https://openalex.org/W2046945713","https://openalex.org/W2061173121","https://openalex.org/W2073241381","https://openalex.org/W2098824882","https://openalex.org/W2135415614","https://openalex.org/W2137406659","https://openalex.org/W2146193817","https://openalex.org/W2149033360","https://openalex.org/W2163757302","https://openalex.org/W2173883208","https://openalex.org/W2254249950","https://openalex.org/W2342249984","https://openalex.org/W2512274390","https://openalex.org/W2607223307","https://openalex.org/W2626967530","https://openalex.org/W2787894218","https://openalex.org/W2889730816","https://openalex.org/W2917792182","https://openalex.org/W2933254221","https://openalex.org/W2963214037","https://openalex.org/W2973631113","https://openalex.org/W2978934711","https://openalex.org/W3006437051","https://openalex.org/W3035965352","https://openalex.org/W3042781247","https://openalex.org/W3047801607","https://openalex.org/W3099878876","https://openalex.org/W3120740533","https://openalex.org/W3208416788","https://openalex.org/W3214867008","https://openalex.org/W4298177899","https://openalex.org/W4386564359","https://openalex.org/W6635717444","https://openalex.org/W6635733909","https://openalex.org/W6636501900","https://openalex.org/W6691692454","https://openalex.org/W6739651123","https://openalex.org/W6760229103","https://openalex.org/W6761586423","https://openalex.org/W6765858885","https://openalex.org/W6766763711","https://openalex.org/W6767857164","https://openalex.org/W6809680140"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"Analyzing":[0],"classification":[1],"model":[2,107,176],"performance":[3],"is":[4,72,127],"a":[5,38,54,88,123,167],"crucial":[6],"task":[7],"for":[8,136],"machine":[9],"learning":[10],"practitioners.":[11],"While":[12],"practitioners":[13,49],"often":[14,73],"use":[15,150],"count-based":[16,100],"metrics":[17],"derived":[18],"from":[19,87],"confusion":[20],"matrices,":[21],"like":[22],"accuracy,":[23],"many":[24],"applications,":[25],"such":[26],"as":[27],"weather":[28],"prediction,":[29,35],"sports":[30],"betting,":[31],"or":[32],"patient":[33],"risk":[34],"rely":[36],"on":[37,152],"classifier's":[39],"predicted":[40,44],"probabilities":[41,62],"rather":[42],"than":[43],"labels.":[45],"In":[46],"these":[47],"instances,":[48],"are":[50,102],"concerned":[51],"with":[52,170],"producing":[53],"calibrated":[55],"model,":[56],"that":[57,63,116,126],"is,":[58],"one":[59],"which":[60],"outputs":[61],"reflect":[64],"those":[65],"of":[66,90,147,166],"the":[67,81,94,118,145,164],"true":[68],"distribution.":[69],"Model":[70],"calibration":[71,83],"analyzed":[74],"visually,":[75],"through":[76,149],"static":[77],"reliability":[78,114,124],"diagrams,":[79],"however,":[80],"traditional":[82,132],"visualization":[84],"may":[85],"suffer":[86],"variety":[89],"drawbacks":[91,130],"due":[92],"to":[93,104,129],"strong":[95],"aggregations":[96],"it":[97],"necessitates.":[98],"Furthermore,":[99],"approaches":[101],"unable":[103],"sufficiently":[105],"analyze":[106,175],"calibration.":[108,177],"We":[109,143,158],"present":[110],"Calibrate,":[111],"an":[112],"interactive":[113,137],"diagram":[115,125],"addresses":[117],"aforementioned":[119],"issues.":[120],"Calibrate":[121,148,161],"constructs":[122],"resistant":[128],"in":[131],"approaches,":[133],"and":[134,140,155],"allows":[135],"subgroup":[138],"analysis":[139],"instance-level":[141],"inspection.":[142],"demonstrate":[144],"utility":[146],"cases":[151],"both":[153],"real-world":[154],"synthetic":[156],"data.":[157],"further":[159],"validate":[160],"by":[162],"presenting":[163],"results":[165],"think-aloud":[168],"experiment":[169],"data":[171],"scientists":[172],"who":[173],"routinely":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
