{"id":"https://openalex.org/W2955266750","doi":"https://doi.org/10.17615/35q7-tq91","title":"Flexible Classification Techniques with Biomedical Applications","display_name":"Flexible Classification Techniques with Biomedical Applications","publication_year":2019,"publication_date":"2019-08-13","ids":{"openalex":"https://openalex.org/W2955266750","doi":"https://doi.org/10.17615/35q7-tq91","mag":"2955266750"},"language":"en","primary_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:9c7a4981-4457-4434-97d6-cf7654714f29","is_oa":false,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:9c7a4981-4457-4434-97d6-cf7654714f29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"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"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17615/35q7-tq91","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100393899","display_name":"Chong Zhang","orcid":"https://orcid.org/0000-0002-2162-4344"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhang, Chong","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100393899"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07301274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/computer-science","display_name":"Computer science","score":0.4903833866119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.323373019695282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4903833866119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323373019695282}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:cdr.lib.unc.edu:uuid:9c7a4981-4457-4434-97d6-cf7654714f29","is_oa":false,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:9c7a4981-4457-4434-97d6-cf7654714f29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"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":"mag:2955266750","is_oa":false,"landing_page_url":"http://cdr.lib.unc.edu/concern/dissertations/n296x008d","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"doi:10.17615/35q7-tq91","is_oa":true,"landing_page_url":"https://doi.org/10.17615/35q7-tq91","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"doi:10.17615/35q7-tq91","is_oa":true,"landing_page_url":"https://doi.org/10.17615/35q7-tq91","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W1480376833","https://openalex.org/W1509689762","https://openalex.org/W1510073064","https://openalex.org/W1601740268","https://openalex.org/W1608733719","https://openalex.org/W1618449801","https://openalex.org/W1764447967","https://openalex.org/W1977406948","https://openalex.org/W1986280275","https://openalex.org/W1988790447","https://openalex.org/W1998894275","https://openalex.org/W2007527993","https://openalex.org/W2015745977","https://openalex.org/W2024046085","https://openalex.org/W2039958503","https://openalex.org/W2043182541","https://openalex.org/W2053943100","https://openalex.org/W2061243452","https://openalex.org/W2070266333","https://openalex.org/W2087347434","https://openalex.org/W2089394015","https://openalex.org/W2116444583","https://openalex.org/W2119821739","https://openalex.org/W2134987394","https://openalex.org/W2135046866","https://openalex.org/W2148603752","https://openalex.org/W2157791002","https://openalex.org/W2161289668","https://openalex.org/W2296319761","https://openalex.org/W2398429633","https://openalex.org/W2579923771","https://openalex.org/W2582743722","https://openalex.org/W2963246048","https://openalex.org/W3100743579","https://openalex.org/W3105849782","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W611862817","https://openalex.org/W2566973993","https://openalex.org/W3146533269","https://openalex.org/W147186516","https://openalex.org/W2490288793","https://openalex.org/W2618798788","https://openalex.org/W3129764402","https://openalex.org/W2578356801","https://openalex.org/W2898411585","https://openalex.org/W2481108412","https://openalex.org/W3134241031","https://openalex.org/W2610230710","https://openalex.org/W138202229","https://openalex.org/W3127267253","https://openalex.org/W1689683304","https://openalex.org/W2319074182","https://openalex.org/W86299717","https://openalex.org/W2076994112","https://openalex.org/W2752546953","https://openalex.org/W3018599980"],"abstract_inverted_index":{"Classification":[0],"problems":[1,29],"are":[2,73,163],"prevalent":[3],"in":[4,9,25,50,90,104],"many":[5,45,140],"scientific":[6],"disciplines,":[7],"especially":[8],"biomedical":[10],"research.":[11],"Recently,":[12],"margin":[13,42,70,130],"based":[14,43,71,131],"classifiers":[15,72,123,132],"have":[16],"become":[17],"increasingly":[18],"popular,":[19],"partly":[20],"due":[21],"to":[22,57,101,152,165],"their":[23],"ability":[24],"handling":[26],"large":[27,102],"scale":[28],"with":[30],"fast":[31],"computational":[32],"speed":[33],"and":[34,121,160],"desirable":[35,56],"theoretical":[36,161],"properties.":[37],"Despite":[38],"the":[39,59,79,83,87,91,107,117,154,167],"success":[40],"of":[41,106,169],"classifiers,":[44],"challenges":[46,155],"remain.":[47],"For":[48,64],"example,":[49],"practical":[51],"problems,":[52],"it":[53],"can":[54,99,133],"be":[55],"estimate":[58],"class":[60,80,108],"conditional":[61,81,109],"probability":[62],"accurately.":[63],"high":[65],"dimensional":[66],"classification":[67,115,141,150],"data,":[68],"penalized":[69],"commonly":[74],"used.":[75],"However,":[76],"when":[77],"estimating":[78],"probability,":[82],"shrinkage":[84],"effect":[85,98],"from":[86,135],"penalty":[88],"term":[89],"corresponding":[92],"optimization":[93],"is":[94,116],"often":[95],"ignored.":[96],"This":[97],"lead":[100],"bias":[103],"estimation":[105],"probability.":[110],"Another":[111],"important":[112],"issue":[113],"on":[114],"comparison":[118],"between":[119],"soft":[120],"hard":[122],"for":[124],"multicategory":[125,129],"problems.":[126],"Moreover,":[127],"regular":[128],"suffer":[134],"inefficiency":[136],"by":[137],"using":[138],"too":[139],"functions.":[142],"In":[143],"this":[144],"dissertation,":[145],"we":[146],"propose":[147],"several":[148],"new":[149,171],"techniques":[151],"overcome":[153],"mentioned":[156],"above.":[157],"Comprehensive":[158],"numerical":[159],"studies":[162],"presented":[164],"demonstrate":[166],"usefulness":[168],"our":[170],"proposed":[172],"methodologies.":[173]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
