{"id":"https://openalex.org/W4292342544","doi":"https://doi.org/10.1145/3546930.3547495","title":"Towards causal physical error discovery in video analytics systems","display_name":"Towards causal physical error discovery in video analytics systems","publication_year":2022,"publication_date":"2022-06-12","ids":{"openalex":"https://openalex.org/W4292342544","doi":"https://doi.org/10.1145/3546930.3547495"},"language":"en","primary_location":{"id":"doi:10.1145/3546930.3547495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3546930.3547495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025151108","display_name":"Ted Shaowang","orcid":"https://orcid.org/0000-0002-7353-3786"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ted Shaowang","raw_affiliation_strings":["University of Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069371925","display_name":"Jinjin Zhao","orcid":"https://orcid.org/0000-0001-8536-3510"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinjin Zhao","raw_affiliation_strings":["University of Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015883931","display_name":"Stavros Sintos","orcid":"https://orcid.org/0000-0002-2114-8886"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stavros Sintos","raw_affiliation_strings":["University of Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018480426","display_name":"Sanjay Krishnan","orcid":"https://orcid.org/0000-0001-6968-4090"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Krishnan","raw_affiliation_strings":["University of Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08954416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7884172797203064},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6657060384750366},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.613013505935669},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.533822774887085},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5203208923339844},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5020668506622314},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46655577421188354},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44326290488243103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4334476590156555},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.42833006381988525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37238529324531555},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.1851995587348938},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10376507043838501},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0964651107788086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7884172797203064},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6657060384750366},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.613013505935669},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.533822774887085},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5203208923339844},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5020668506622314},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46655577421188354},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44326290488243103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334476590156555},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.42833006381988525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37238529324531555},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.1851995587348938},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10376507043838501},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0964651107788086},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3546930.3547495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3546930.3547495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W333550619","https://openalex.org/W979198285","https://openalex.org/W2000809552","https://openalex.org/W2024834471","https://openalex.org/W2047182010","https://openalex.org/W2114242548","https://openalex.org/W2142996775","https://openalex.org/W2157803622","https://openalex.org/W2282821441","https://openalex.org/W2466378217","https://openalex.org/W2613751718","https://openalex.org/W2752236330","https://openalex.org/W2803764703","https://openalex.org/W2912981821","https://openalex.org/W2917161856","https://openalex.org/W3000318171","https://openalex.org/W3028942915","https://openalex.org/W3103272053","https://openalex.org/W3103442520","https://openalex.org/W3175222902","https://openalex.org/W3177096435","https://openalex.org/W3211476916","https://openalex.org/W4221041561","https://openalex.org/W4225127292"],"related_works":["https://openalex.org/W4321442002","https://openalex.org/W2015265939","https://openalex.org/W2284072287","https://openalex.org/W2155788121","https://openalex.org/W4235469518","https://openalex.org/W2387706296","https://openalex.org/W4210310791","https://openalex.org/W2937343495","https://openalex.org/W4360833258","https://openalex.org/W3048864202"],"abstract_inverted_index":{"Video":[0],"analytics":[1,96],"systems":[2,16,47],"based":[3],"on":[4],"deep":[5],"learning":[6],"models":[7],"are":[8,25],"often":[9],"opaque":[10],"and":[11,13,103],"brittle":[12],"require":[14],"explanation":[15,23],"to":[17,74,82,87],"help":[18],"users":[19,89],"debug.":[20],"Current":[21],"model":[22],"system":[24,101,113],"very":[26],"good":[27],"at":[28],"giving":[29],"literal":[30],"explanations":[31],"of":[32,36,63,94,107],"behavior":[33],"in":[34,77],"terms":[35],"pixel":[37],"contributions":[38],"but":[39],"cannot":[40],"integrate":[41],"information":[42],"about":[43],"the":[44,57,100,108],"physical":[45,83],"or":[46],"processes":[48],"that":[49,59,110],"might":[50,114],"influence":[51],"a":[52,60,67,90,105,112],"prediction.":[53],"This":[54],"paper":[55],"introduces":[56],"idea":[58],"simple":[61],"form":[62],"causal":[64],"reasoning,":[65],"called":[66],"regression":[68],"discontinuity":[69],"design,":[70],"can":[71],"be":[72],"used":[73],"associate":[75],"changes":[76],"multiple":[78],"key":[79],"performance":[80],"indicators":[81],"real":[84],"world":[85],"phenomena":[86],"give":[88],"more":[91],"actionable":[92],"set":[93],"video":[95],"explanations.":[97],"We":[98],"overview":[99],"architecture":[102],"describe":[104],"vision":[106],"impact":[109],"such":[111],"have.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}