{"id":"https://openalex.org/W2402840152","doi":"https://doi.org/10.1162/neco_a_00972","title":"Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve","display_name":"Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve","publication_year":2017,"publication_date":"2017-05-31","ids":{"openalex":"https://openalex.org/W2402840152","doi":"https://doi.org/10.1162/neco_a_00972","mag":"2402840152","pmid":"https://pubmed.ncbi.nlm.nih.gov/28562216"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00972","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00972","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.04337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077482746","display_name":"Harikrishna Narasimhan","orcid":"https://orcid.org/0009-0007-0476-6635"},"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":false,"raw_author_name":"Harikrishna Narasimhan","raw_affiliation_strings":["John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, U.S.A","John A. Paulson School of Engineering and Applied Sciences, Harvard University,  Cambridge, MA 02138, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, U.S.A","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences, Harvard University,  Cambridge, MA 02138, U.S.A","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066581662","display_name":"Shivani Agarwal","orcid":"https://orcid.org/0000-0002-3205-552X"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivani Agarwal","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, U.S.A","*Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, U.S.A","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]},{"raw_affiliation_string":"*Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, U.S.A","institution_ids":["https://openalex.org/I79576946","https://openalex.org/I922845939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2274,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65322445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":"7","first_page":"1919","last_page":"1963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9986000061035156,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9986000061035156,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9890999794006348,"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/solver","display_name":"Solver","score":0.5902706980705261},{"id":"https://openalex.org/keywords/hinge-loss","display_name":"Hinge loss","score":0.589057207107544},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5587422847747803},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5439791679382324},{"id":"https://openalex.org/keywords/cutting-plane-method","display_name":"Cutting-plane method","score":0.5201378464698792},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5103258490562439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5076709985733032},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49755075573921204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48138192296028137},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4272438585758209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.393688440322876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2546095848083496},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19560205936431885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13761597871780396},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.08373594284057617}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5902706980705261},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.589057207107544},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5587422847747803},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5439791679382324},{"id":"https://openalex.org/C109839438","wikidata":"https://www.wikidata.org/wiki/Q1762039","display_name":"Cutting-plane method","level":3,"score":0.5201378464698792},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5103258490562439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5076709985733032},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49755075573921204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48138192296028137},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4272438585758209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.393688440322876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2546095848083496},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19560205936431885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13761597871780396},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.08373594284057617}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1162/neco_a_00972","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00972","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:28562216","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28562216","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":"Neural computation","raw_type":null},{"id":"pmh:oai:arXiv.org:1605.04337","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.04337","pdf_url":"https://arxiv.org/pdf/1605.04337","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2402840152","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.04337.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1605.04337","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.04337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.04337","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.04337","pdf_url":"https://arxiv.org/pdf/1605.04337","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"},{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2402840152.pdf","grobid_xml":"https://content.openalex.org/works/W2402840152.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1850680945","https://openalex.org/W1963654222","https://openalex.org/W1980896222","https://openalex.org/W1991365037","https://openalex.org/W1994642659","https://openalex.org/W2012242422","https://openalex.org/W2012680855","https://openalex.org/W2021630848","https://openalex.org/W2025402514","https://openalex.org/W2028034626","https://openalex.org/W2028214808","https://openalex.org/W2034528047","https://openalex.org/W2035720976","https://openalex.org/W2046664527","https://openalex.org/W2047221353","https://openalex.org/W2053920233","https://openalex.org/W2054992248","https://openalex.org/W2056716237","https://openalex.org/W2057130308","https://openalex.org/W2067834499","https://openalex.org/W2070771761","https://openalex.org/W2076037305","https://openalex.org/W2098064689","https://openalex.org/W2105842272","https://openalex.org/W2109689843","https://openalex.org/W2111233787","https://openalex.org/W2113394953","https://openalex.org/W2120100126","https://openalex.org/W2121824931","https://openalex.org/W2127176025","https://openalex.org/W2133138357","https://openalex.org/W2143331230","https://openalex.org/W2145090912","https://openalex.org/W2147102238","https://openalex.org/W2150734023","https://openalex.org/W2166765763","https://openalex.org/W2168920183","https://openalex.org/W2177508090","https://openalex.org/W2988119488","https://openalex.org/W4237853473","https://openalex.org/W4237969349","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2962828272","https://openalex.org/W2165880761","https://openalex.org/W2952689389","https://openalex.org/W3006426198","https://openalex.org/W2949927612","https://openalex.org/W2405366961","https://openalex.org/W2551637362","https://openalex.org/W2950094835","https://openalex.org/W3008850378","https://openalex.org/W2899412113","https://openalex.org/W2912178870","https://openalex.org/W3127479739","https://openalex.org/W2912310641","https://openalex.org/W2781787017","https://openalex.org/W2147399051","https://openalex.org/W3201883274","https://openalex.org/W2083905053","https://openalex.org/W2801098886","https://openalex.org/W1973512460","https://openalex.org/W1589019642"],"abstract_inverted_index":{"The":[0,120],"area":[1,38,49],"under":[2,39,50],"the":[3,36,40,47,51,69,90,95,98,111,124,153,171,181,185,193,203,207,226,248,265,268],"ROC":[4,41,52],"curve":[5,42,53],"(AUC)":[6],"is":[7,30,210,219],"a":[8,83,115,131,176,220,241,257],"widely":[9],"used":[10],"performance":[11,29,112],"measure":[12,113],"in":[13,18,33,44,189],"machine":[14],"learning.":[15],"Increasingly,":[16],"however,":[17],"several":[19],"applications,":[20],"ranging":[21],"from":[22],"ranking":[23],"to":[24,27,139,162,212],"biometric":[25],"screening":[26],"medicine,":[28],"measured":[31],"not":[32,128],"terms":[34,45],"of":[35,46,97,117,157,192,215,259,267],"full":[37,99,182],"but":[43],"partial":[48,70,91,121,167,208,232,249],"between":[54,72],"two":[55,74],"false-positive":[56,75],"rates.":[57,76],"In":[58,94],"this":[59,147],"letter,":[60],"we":[61],"develop":[62,236],"support":[63],"vector":[64],"algorithms":[65],"for":[66,89,146,166,206,224,239,247],"directly":[67],"optimizing":[68,240],"AUC":[71,92,168,209,250],"any":[73],"Our":[77,149,254],"methods":[78],"are":[79],"based":[80],"on":[81,123,152,256],"minimizing":[82],"suitable":[84],"proxy":[85],"or":[86],"surrogate":[87,246],"objective":[88],"error.":[93],"case":[96],"AUC,":[100,122,183],"one":[101],"can":[102,197],"readily":[103],"construct":[104],"and":[105,141,169,200,261],"optimize":[106,142],"convex":[107,144,164],"surrogates":[108,145,165],"by":[109],"expressing":[110],"as":[114],"summation":[116],"pairwise":[118],"terms.":[119],"other":[125],"hand,":[126],"does":[127],"admit":[129],"such":[130],"simple":[132],"decomposable":[133],"structure,":[134],"making":[135],"it":[136],"more":[137],"challenging":[138],"design":[140,163],"(tight)":[143],"measure.":[148],"approach":[150,238],"builds":[151],"structural":[154],"SVM":[155],"framework":[156],"Joachims":[158],"(":[159],"2005":[160],")":[161],"solves":[170],"resulting":[172],"optimization":[173,187,228],"problem":[174,205,229],"using":[175,251],"cutting":[177,194],"plane":[178,195],"solver.":[179],"Unlike":[180],"where":[184],"combinatorial":[186,227],"needed":[188],"each":[190],"iteration":[191],"solver":[196],"be":[198],"decomposed":[199],"solved":[201],"efficiently,":[202],"corresponding":[204],"harder":[211],"decompose.":[213],"One":[214],"our":[216],"main":[217],"contributions":[218],"polynomial":[221],"time":[222],"algorithm":[223],"solving":[225],"associated":[230],"with":[231],"AUC.":[233],"We":[234],"also":[235],"an":[237],"tighter":[242],"nonconvex":[243],"hinge":[244],"loss-based":[245],"difference-of-convex":[252],"programming.":[253],"experiments":[255],"variety":[258],"real-world":[260],"benchmark":[262],"tasks":[263],"confirm":[264],"efficacy":[266],"proposed":[269],"methods.":[270]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
