{"id":"https://openalex.org/W4403278306","doi":"https://doi.org/10.1109/mfi62651.2024.10705789","title":"Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error","display_name":"Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4403278306","doi":"https://doi.org/10.1109/mfi62651.2024.10705789"},"language":"en","primary_location":{"id":"doi:10.1109/mfi62651.2024.10705789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi62651.2024.10705789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["DE","IN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["Institute of Industrial Manufacturing and Management IFF, University of Stuttgart, and with Bosch Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Manufacturing and Management IFF, University of Stuttgart, and with Bosch Center for Artificial Intelligence","institution_ids":["https://openalex.org/I100066346","https://openalex.org/I4210151956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002421100","display_name":"Tim Pychynski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tim Pychynski","raw_affiliation_strings":["Bosch Center for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Center for Artificial Intelligence","institution_ids":["https://openalex.org/I4210151956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031354877","display_name":"Marco F. Huber","orcid":"https://orcid.org/0000-0002-8250-2092"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I3018473509","display_name":"Fraunhofer Institute for Manufacturing Engineering and Automation","ror":"https://ror.org/01rvqha10","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3018473509","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco F. Huber","raw_affiliation_strings":["Institute of Industrial Manufacturing and Management IFF, University of Stuttgart, and with the Fraunhofer IPA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Manufacturing and Management IFF, University of Stuttgart, and with the Fraunhofer IPA","institution_ids":["https://openalex.org/I100066346","https://openalex.org/I3018473509"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7753,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84759896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9343000054359436,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9343000054359436,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.7049912214279175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6061253547668457},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5520270466804504},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5155129432678223},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4857049882411957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42752230167388916},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.42138904333114624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36501383781433105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3327144980430603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17578482627868652}],"concepts":[{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.7049912214279175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061253547668457},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5520270466804504},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5155129432678223},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4857049882411957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42752230167388916},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.42138904333114624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36501383781433105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3327144980430603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17578482627868652},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi62651.2024.10705789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi62651.2024.10705789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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":21,"referenced_works":["https://openalex.org/W1524326598","https://openalex.org/W2788276261","https://openalex.org/W2942109571","https://openalex.org/W2947430130","https://openalex.org/W3194250276","https://openalex.org/W4403331673","https://openalex.org/W6638557351","https://openalex.org/W6679935737","https://openalex.org/W6734162569","https://openalex.org/W6739842433","https://openalex.org/W6752668259","https://openalex.org/W6754506371","https://openalex.org/W6755673520","https://openalex.org/W6761805307","https://openalex.org/W6762728686","https://openalex.org/W6762856758","https://openalex.org/W6780392805","https://openalex.org/W6785274047","https://openalex.org/W6810166644","https://openalex.org/W6838534188","https://openalex.org/W6845656837"],"related_works":["https://openalex.org/W2242083226","https://openalex.org/W2884410131","https://openalex.org/W1603253275","https://openalex.org/W120501756","https://openalex.org/W111011176","https://openalex.org/W2138996412","https://openalex.org/W2763292376","https://openalex.org/W2097596242","https://openalex.org/W3041425257","https://openalex.org/W2906932471"],"abstract_inverted_index":{"Data":[0],"fusion":[1,41,70,94],"is":[2,19,113],"the":[3,21,67,73,87,92,106,120,161,165],"process":[4],"of":[5,47,58,89,110],"integrating":[6],"data":[7,24,78,130,166],"from":[8,129],"multiple":[9],"sources":[10],"to":[11,27,51,126,151],"produce":[12],"more":[13,99],"accurate":[14],"and":[15,30,61,81],"reliable":[16],"information.":[17],"It":[18],"often":[20],"case":[22],"that":[23,66,138,148],"are":[25,79,169],"subject":[26],"latent":[28,59,90],"confounding":[29,60],"measurement":[31,62,117,139],"error":[32,118,140],"in":[33,86,119],"real-world":[34],"scenarios.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,136],"evaluate":[40],"strategies":[42],"based":[43],"on":[44],"different":[45],"levels":[46],"contained":[48],"causal":[49,123,133,144,157],"knowledge":[50,124],"solve":[52],"quality":[53,76],"prediction":[54,75,97,111],"under":[55,163],"varied":[56],"conditions":[57],"error.":[63],"We":[64,146],"show":[65],"machine":[68],"learning-based":[69],"strategy":[71,95],"achieves":[72],"best":[74],"when":[77,154],"independent":[80],"identically":[82],"distributed":[83],"(i.i.d.).":[84],"However,":[85],"presence":[88],"confounding,":[91],"causality-based":[93],"makes":[96],"models":[98,112],"robust":[100],"against":[101],"severe":[102],"distribution":[103],"shifts.":[104],"Moreover,":[105],"out-of-distribution":[107],"(OOD)":[108],"generalizability":[109],"also":[114],"affected":[115],"by":[116,131],"data.":[121],"If":[122],"needs":[125,150],"be":[127,152],"inferred":[128],"applying":[132],"discovery":[134,158],"methods,":[135],"demonstrate":[137],"can":[141],"adversely":[142],"impair":[143],"discovery.":[145],"advocate":[147],"caution":[149],"exercised":[153],"using":[155],"standard":[156],"methods":[159],"if":[160],"circumstances":[162],"which":[164],"were":[167],"generated":[168],"unknown.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
