{"id":"https://openalex.org/W4321231426","doi":"https://doi.org/10.1007/978-3-031-25072-9_30","title":"Parametric and\u00a0Multivariate Uncertainty Calibration for\u00a0Regression and\u00a0Object Detection","display_name":"Parametric and\u00a0Multivariate Uncertainty Calibration for\u00a0Regression and\u00a0Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321231426","doi":"https://doi.org/10.1007/978-3-031-25072-9_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-25072-9_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25072-9_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5067654834","display_name":"Fabian K\u00fcppers","orcid":"https://orcid.org/0009-0005-9856-7527"},"institutions":[{"id":"https://openalex.org/I4210123225","display_name":"Ruhr West University of Applied Sciences","ror":"https://ror.org/02nkxrq89","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210123225"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fabian K\u00fcppers","raw_affiliation_strings":["Ruhr West University of Applied Sciences, Bottrop, Germany","e:fs TechHub GmbH, Gaimersheim, Germany"],"affiliations":[{"raw_affiliation_string":"Ruhr West University of Applied Sciences, Bottrop, Germany","institution_ids":["https://openalex.org/I4210123225"]},{"raw_affiliation_string":"e:fs TechHub GmbH, Gaimersheim, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113782851","display_name":"Jonas Schneider","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonas Schneider","raw_affiliation_strings":["e:fs TechHub GmbH, Gaimersheim, Germany"],"affiliations":[{"raw_affiliation_string":"e:fs TechHub GmbH, Gaimersheim, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008062078","display_name":"Anselm Haselhoff","orcid":"https://orcid.org/0009-0007-9489-6395"},"institutions":[{"id":"https://openalex.org/I4210123225","display_name":"Ruhr West University of Applied Sciences","ror":"https://ror.org/02nkxrq89","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210123225"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anselm Haselhoff","raw_affiliation_strings":["Ruhr West University of Applied Sciences, Bottrop, Germany"],"affiliations":[{"raw_affiliation_string":"Ruhr West University of Applied Sciences, Bottrop, Germany","institution_ids":["https://openalex.org/I4210123225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067654834"],"corresponding_institution_ids":["https://openalex.org/I4210123225"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":7.9986,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.97869372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9911999702453613,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9911999702453613,"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":0.9743000268936157,"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":0.9718000292778015,"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/calibration","display_name":"Calibration","score":0.6236175298690796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5876302123069763},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5672138333320618},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5631534457206726},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5029193758964539},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4382110834121704},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.43419045209884644},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4227515459060669},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3952946662902832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37517136335372925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32944250106811523}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6236175298690796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876302123069763},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5672138333320618},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5631534457206726},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5029193758964539},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4382110834121704},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.43419045209884644},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4227515459060669},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3952946662902832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37517136335372925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32944250106811523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-25072-9_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-25072-9_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1861492603","https://openalex.org/W1981276685","https://openalex.org/W2012942264","https://openalex.org/W2032938012","https://openalex.org/W2088519940","https://openalex.org/W2162798864","https://openalex.org/W2254249950","https://openalex.org/W2398242707","https://openalex.org/W2735160842","https://openalex.org/W2799352588","https://openalex.org/W2896099866","https://openalex.org/W2897848176","https://openalex.org/W2962677013","https://openalex.org/W2963351448","https://openalex.org/W3010334993","https://openalex.org/W3021332602","https://openalex.org/W3090204745","https://openalex.org/W3103100819","https://openalex.org/W3106414954","https://openalex.org/W3109915642","https://openalex.org/W4229940379","https://openalex.org/W4231501374","https://openalex.org/W6636764321","https://openalex.org/W6815843576"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W2053213469","https://openalex.org/W939486154","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W1488761988","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}