{"id":"https://openalex.org/W2769059631","doi":"https://doi.org/10.1007/s10115-017-1133-2","title":"Binary classifier calibration using an ensemble of piecewise linear regression models","display_name":"Binary classifier calibration using an ensemble of piecewise linear regression models","publication_year":2017,"publication_date":"2017-11-17","ids":{"openalex":"https://openalex.org/W2769059631","doi":"https://doi.org/10.1007/s10115-017-1133-2","mag":"2769059631","pmid":"https://pubmed.ncbi.nlm.nih.gov/29606784"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-017-1133-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-017-1133-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5875942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000623954","display_name":"Mahdi Pakdaman Naeini","orcid":"https://orcid.org/0000-0001-7683-9310"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahdi Pakdaman\u00a0Naeini","raw_affiliation_strings":["Department of Biomedical Informatics, Harvard Medical School, MA, USA","Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7683-9310","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Harvard Medical School, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039985406","display_name":"Gregory F. Cooper","orcid":"https://orcid.org/0000-0002-9276-773X"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory F. Cooper","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA","Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000623954"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":1.6684,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8117093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"54","issue":"1","first_page":"151","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9980999827384949,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9976999759674072,"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/binary-classification","display_name":"Binary classification","score":0.7129758596420288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6269875168800354},{"id":"https://openalex.org/keywords/isotonic-regression","display_name":"Isotonic regression","score":0.6076279282569885},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5888468623161316},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5844171047210693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644609928131104},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5271869897842407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5047239065170288},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47420766949653625},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.47228342294692993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4511321485042572},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4291125535964966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40740132331848145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33883923292160034},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3314089775085449},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24164316058158875}],"concepts":[{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.7129758596420288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6269875168800354},{"id":"https://openalex.org/C17418463","wikidata":"https://www.wikidata.org/wiki/Q3455874","display_name":"Isotonic regression","level":3,"score":0.6076279282569885},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5888468623161316},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5844171047210693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644609928131104},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5271869897842407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5047239065170288},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47420766949653625},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.47228342294692993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4511321485042572},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4291125535964966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40740132331848145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33883923292160034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3314089775085449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24164316058158875},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10115-017-1133-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-017-1133-2","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"pmid:29606784","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29606784","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":"Knowledge and information systems","raw_type":null},{"id":"pmh:oai:europepmc.org:5284952","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5875942","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5875942","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5875942","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Knowl Inf Syst","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5875942","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5875942","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Knowl Inf Syst","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5600000023841858,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G224800044","display_name":null,"funder_award_id":"R01LM012095","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6155710015","display_name":null,"funder_award_id":"R01 LM012095","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6185898374","display_name":null,"funder_award_id":"R01GM088224","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6561317925","display_name":null,"funder_award_id":"4100070287","funder_id":"https://openalex.org/F4320308109","funder_display_name":"Pennsylvania Department of Health"},{"id":"https://openalex.org/G6734885963","display_name":null,"funder_award_id":"U54 HG008540","funder_id":"https://openalex.org/F4320337348","funder_display_name":"National Human Genome Research Institute"},{"id":"https://openalex.org/G7134814101","display_name":null,"funder_award_id":"U54HG008540","funder_id":"https://openalex.org/F4320337348","funder_display_name":"National Human Genome Research Institute"},{"id":"https://openalex.org/G7787532817","display_name":null,"funder_award_id":"R01 GM088224","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320308109","display_name":"Pennsylvania Department of Health","ror":"https://ror.org/00ra1fg11"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337348","display_name":"National Human Genome Research Institute","ror":"https://ror.org/00baak391"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W28749054","https://openalex.org/W321037060","https://openalex.org/W1527842677","https://openalex.org/W1542959211","https://openalex.org/W1565746575","https://openalex.org/W1598033630","https://openalex.org/W1599263113","https://openalex.org/W1603903339","https://openalex.org/W1618905105","https://openalex.org/W1821464114","https://openalex.org/W1896212383","https://openalex.org/W1965755064","https://openalex.org/W1974191159","https://openalex.org/W1974758710","https://openalex.org/W1977065472","https://openalex.org/W1977245551","https://openalex.org/W1995288918","https://openalex.org/W2000950277","https://openalex.org/W2005386510","https://openalex.org/W2012942264","https://openalex.org/W2016753842","https://openalex.org/W2030947209","https://openalex.org/W2075159929","https://openalex.org/W2089700840","https://openalex.org/W2098824882","https://openalex.org/W2100512350","https://openalex.org/W2107103101","https://openalex.org/W2113211233","https://openalex.org/W2121044470","https://openalex.org/W2122410182","https://openalex.org/W2137556846","https://openalex.org/W2153635508","https://openalex.org/W2166290812","https://openalex.org/W2168175751","https://openalex.org/W2170112109","https://openalex.org/W2254249950","https://openalex.org/W2398242707","https://openalex.org/W2499811908","https://openalex.org/W2517486723","https://openalex.org/W2617704515","https://openalex.org/W2623293810","https://openalex.org/W2950780363","https://openalex.org/W2962801792","https://openalex.org/W2963029447","https://openalex.org/W3103508041","https://openalex.org/W3173138228","https://openalex.org/W4236316114","https://openalex.org/W4241727697"],"related_works":["https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W2516761773","https://openalex.org/W2345184372","https://openalex.org/W2887872047","https://openalex.org/W2622749314","https://openalex.org/W2121181666"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}