{"id":"https://openalex.org/W4309636459","doi":"https://doi.org/10.1007/s11634-022-00528-0","title":"A power-controlled reliability assessment for multi-class probabilistic classifiers","display_name":"A power-controlled reliability assessment for multi-class probabilistic classifiers","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4309636459","doi":"https://doi.org/10.1007/s11634-022-00528-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-022-00528-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00528-0","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-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/A5005141398","display_name":"Hyukjun Gweon","orcid":"https://orcid.org/0000-0001-9035-984X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hyukjun Gweon","raw_affiliation_strings":["Department of Statistical and Actuarial Sciences, Western University, 1151 Richmond St, London, ON, N6A 3K7, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9035-984X","affiliations":[{"raw_affiliation_string":"Department of Statistical and Actuarial Sciences, Western University, 1151 Richmond St, London, ON, N6A 3K7, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005141398"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7397,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73287528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"17","issue":"4","first_page":"927","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9937000274658203,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7222121953964233},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6395320296287537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122360825538635},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.6063864827156067},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5344841480255127},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5195084810256958},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5135822296142578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4981346130371094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47944799065589905},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4284038841724396},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4248759150505066},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.415330708026886},{"id":"https://openalex.org/keywords/sampling-distribution","display_name":"Sampling distribution","score":0.4146064817905426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37456214427948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27486810088157654},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25699931383132935},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.25468021631240845},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1862058937549591}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7222121953964233},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6395320296287537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122360825538635},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.6063864827156067},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5344841480255127},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5195084810256958},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5135822296142578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4981346130371094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47944799065589905},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4284038841724396},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4248759150505066},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.415330708026886},{"id":"https://openalex.org/C167723999","wikidata":"https://www.wikidata.org/wiki/Q3773214","display_name":"Sampling distribution","level":2,"score":0.4146064817905426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37456214427948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27486810088157654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25699931383132935},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.25468021631240845},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1862058937549591},{"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":2,"locations":[{"id":"doi:10.1007/s11634-022-00528-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00528-0","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:17:y:2023:i:4:d:10.1007_s11634-022-00528-0","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-022-00528-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6917431529","display_name":null,"funder_award_id":"RGPIN-2022-04698","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1982392243","https://openalex.org/W1994156022","https://openalex.org/W1997743023","https://openalex.org/W2031687681","https://openalex.org/W2058591385","https://openalex.org/W2059195093","https://openalex.org/W2075825727","https://openalex.org/W2098824882","https://openalex.org/W2137556846","https://openalex.org/W2146193817","https://openalex.org/W2166155963","https://openalex.org/W2254249950","https://openalex.org/W2330820318","https://openalex.org/W2593714187","https://openalex.org/W2602856279","https://openalex.org/W2912934387","https://openalex.org/W2958198082","https://openalex.org/W4294841944"],"related_works":["https://openalex.org/W1607432302","https://openalex.org/W2996897273","https://openalex.org/W2329567442","https://openalex.org/W1972450020","https://openalex.org/W2106205363","https://openalex.org/W4327521161","https://openalex.org/W2625836760","https://openalex.org/W2122175496","https://openalex.org/W2765254458","https://openalex.org/W2296060041"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}