{"id":"https://openalex.org/W2527632311","doi":"https://doi.org/10.17615/8ajy-8451","title":"Radial Distance Weighted Discrimination","display_name":"Radial Distance Weighted Discrimination","publication_year":2019,"publication_date":"2019-08-15","ids":{"openalex":"https://openalex.org/W2527632311","doi":"https://doi.org/10.17615/8ajy-8451","mag":"2527632311"},"language":"en","primary_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","pdf_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","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://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007026874","display_name":"Jie Xiong","orcid":"https://orcid.org/0000-0002-7702-5906"},"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":"Xiong, Jie","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"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/A5007026874"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00495663,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9587000012397766,"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":0.9587000012397766,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37970852851867676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36791032552719116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3617883324623108},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.33573973178863525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3285433053970337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37970852851867676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36791032552719116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3617883324623108},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.33573973178863525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3285433053970337}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:cdr.lib.unc.edu:uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","pdf_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","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:2527632311","is_oa":false,"landing_page_url":"https://cdr.lib.unc.edu/downloads/js956h058","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:10.17615/8ajy-8451","is_oa":true,"landing_page_url":"https://doi.org/10.17615/8ajy-8451","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":[],"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":"pmh:oai:cdr.lib.unc.edu:uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","pdf_url":"https://cdr.lib.unc.edu/record/uuid:defd8a95-2611-4fa2-8989-f2307a4a212a","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"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2527632311.pdf","grobid_xml":"https://content.openalex.org/works/W2527632311.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1507029541","https://openalex.org/W1510073064","https://openalex.org/W1601740268","https://openalex.org/W1605258438","https://openalex.org/W1966521860","https://openalex.org/W1972701998","https://openalex.org/W1974511160","https://openalex.org/W1974764034","https://openalex.org/W1980291961","https://openalex.org/W1986700282","https://openalex.org/W1996253324","https://openalex.org/W1998894275","https://openalex.org/W2001619934","https://openalex.org/W2006309458","https://openalex.org/W2009369806","https://openalex.org/W2011058684","https://openalex.org/W2027107974","https://openalex.org/W2032026767","https://openalex.org/W2032704097","https://openalex.org/W2032942231","https://openalex.org/W2046649434","https://openalex.org/W2055043387","https://openalex.org/W2066447073","https://openalex.org/W2066649243","https://openalex.org/W2074682976","https://openalex.org/W2078957532","https://openalex.org/W2084181963","https://openalex.org/W2093748431","https://openalex.org/W2094519647","https://openalex.org/W2097341408","https://openalex.org/W2098172031","https://openalex.org/W2098376600","https://openalex.org/W2102760656","https://openalex.org/W2103441770","https://openalex.org/W2106638291","https://openalex.org/W2112113834","https://openalex.org/W2117383442","https://openalex.org/W2118250684","https://openalex.org/W2121501983","https://openalex.org/W2122825543","https://openalex.org/W2129476886","https://openalex.org/W2133111499","https://openalex.org/W2134139646","https://openalex.org/W2134787419","https://openalex.org/W2138019504","https://openalex.org/W2139212933","https://openalex.org/W2139760555","https://openalex.org/W2153086947","https://openalex.org/W2153527981","https://openalex.org/W2154377255","https://openalex.org/W2154568343","https://openalex.org/W2168150091","https://openalex.org/W2180506325","https://openalex.org/W2187089732","https://openalex.org/W3119651796"],"related_works":[],"abstract_inverted_index":{"Motivated":[0],"by":[1,41,120],"the":[2,42,64,73,85,111,161,168,171,175,178,187],"challenge":[3,119],"of":[4,63,75,110,167,177,189],"using":[5,121],"DNA-seq":[6],"data":[7,102,172,184],"to":[8,53],"identify":[9],"viruses":[10],"in":[11,45,67,170],"human":[12],"blood":[13],"samples,":[14],"we":[15],"propose":[16],"a":[17,100,122],"novel":[18],"classification":[19],"algorithm":[20],"called":[21],"\"Radial":[22],"Distance":[23,91],"Weighted":[24,92],"Discrimination\"":[25],"(or":[26],"Radial":[27,76,115,190],"DWD).":[28],"This":[29,61],"classifier":[30],"is":[31,39,51,106],"designed":[32],"for":[33,56,99,136,173],"binary":[34],"classification,":[35],"assuming":[36],"one":[37],"class":[38,44],"surrounded":[40],"other":[43],"very":[46],"diverse":[47],"radial":[48,69,138],"directions,":[49],"which":[50],"seen":[52],"be":[54],"typical":[55],"our":[57],"virus":[58,182],"detection":[59,183],"data.":[60],"separation":[62],"2":[65],"classes":[66],"multiple":[68],"directions":[70],"naturally":[71],"motivates":[72],"development":[74],"DWD.":[77,191],"While":[78],"classical":[79],"machine":[80],"learning":[81],"methods":[82,163],"such":[83],"as":[84],"Support":[86,157],"Vector":[87,158],"Machine":[88],"and":[89,148],"linear":[90,112,146],"Discrimination,":[93],"can":[94],"sometimes":[95],"give":[96],"reasonable":[97],"answers":[98],"given":[101],"set,":[103],"their":[104],"generalizability":[105,144],"severely":[107],"compromised":[108],"because":[109,160],"separating":[113,131,179],"boundary.":[114,132,180],"DWD":[116],"addresses":[117],"this":[118,127,140],"much":[123,142,150,166],"more":[124],"appropriate":[125,137],"(in":[126],"particular":[128],"case)":[129],"spherical":[130],"Simulations":[133],"show":[134],"that":[135],"contexts,":[139],"gives":[141],"better":[143,151],"than":[145,152],"methods,":[147],"also":[149,185],"conventional":[153],"kernel":[154],"based":[155],"(nonlinear)":[156],"Machines,":[159],"latter":[162],"essentially":[164],"use":[165],"information":[169],"determining":[174],"shape":[176],"Real":[181],"demonstrates":[186],"effectiveness":[188]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}