{"id":"https://openalex.org/W3004569186","doi":"https://doi.org/10.1109/bibm47256.2019.8982993","title":"Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening","display_name":"Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004569186","doi":"https://doi.org/10.1109/bibm47256.2019.8982993","mag":"3004569186"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8982993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8982993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5054304362","display_name":"Choujun Zhan","orcid":"https://orcid.org/0000-0002-1445-3559"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Choujun Zhan","raw_affiliation_strings":["School of Computer, South China Normal University,China","School of Computer, South China Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University,China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008902922","display_name":"Benjamin Yee Shing Li","orcid":"https://orcid.org/0000-0002-6243-8724"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Benjamin Yee Shing Li","raw_affiliation_strings":["City University of Hong Kong,Department of Electronic Engineering,Hong Kong","Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064571154","display_name":"Quansi Wen","orcid":"https://orcid.org/0000-0002-0042-7552"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quansi Wen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology,China","School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019815976","display_name":"Gao Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Ying","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology,China","School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080646275","display_name":"Tianyong Hao","orcid":"https://orcid.org/0000-0002-9792-3949"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Computer, South China Normal University,China","School of Computer, South China Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University,China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054304362"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18998303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1149","last_page":"1155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8523341417312622},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7777660489082336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7142215967178345},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6372399926185608},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6219304800033569},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6116393208503723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5852522850036621},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5548346638679504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5462413430213928},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.5154052972793579},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.4676232933998108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519306719303131},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.44337257742881775},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4322812855243683},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43031707406044006},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4136131703853607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3301716446876526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21085262298583984}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8523341417312622},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7777660489082336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142215967178345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6372399926185608},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6219304800033569},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6116393208503723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5852522850036621},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5548346638679504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5462413430213928},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.5154052972793579},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.4676232933998108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519306719303131},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.44337257742881775},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4322812855243683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43031707406044006},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4136131703853607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3301716446876526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21085262298583984},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8982993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8982993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W58207909","https://openalex.org/W1588282782","https://openalex.org/W1594563152","https://openalex.org/W1638267571","https://openalex.org/W1835509607","https://openalex.org/W1968506227","https://openalex.org/W2015855658","https://openalex.org/W2026625220","https://openalex.org/W2034726418","https://openalex.org/W2047509756","https://openalex.org/W2056881083","https://openalex.org/W2064789519","https://openalex.org/W2073907102","https://openalex.org/W2085809352","https://openalex.org/W2100781145","https://openalex.org/W2115933183","https://openalex.org/W2118216287","https://openalex.org/W2118865162","https://openalex.org/W2118978333","https://openalex.org/W2123818990","https://openalex.org/W2124541940","https://openalex.org/W2127760066","https://openalex.org/W2132870739","https://openalex.org/W2135835957","https://openalex.org/W2136507529","https://openalex.org/W2139207995","https://openalex.org/W2148603752","https://openalex.org/W2148894497","https://openalex.org/W2157656721","https://openalex.org/W2293636571","https://openalex.org/W2297327363","https://openalex.org/W4239167359","https://openalex.org/W6602372757","https://openalex.org/W6637453536","https://openalex.org/W6638258969","https://openalex.org/W6677301753","https://openalex.org/W6677557080","https://openalex.org/W6680544626","https://openalex.org/W6683291568","https://openalex.org/W6697302825"],"related_works":["https://openalex.org/W2574115973","https://openalex.org/W2075298172","https://openalex.org/W3021466180","https://openalex.org/W1988488526","https://openalex.org/W1969748997","https://openalex.org/W3013206934","https://openalex.org/W4311138679","https://openalex.org/W1545250539","https://openalex.org/W3100948281","https://openalex.org/W2392890851"],"abstract_inverted_index":{"Imbalanced":[0],"dataset":[1],"is":[2,15,36,78,97],"a":[3,52],"common":[4],"issue":[5],"in":[6,85],"many":[7],"applications.":[8],"The":[9],"one-class":[10,82],"Support":[11],"Vector":[12],"Machine":[13],"(SVM)":[14],"found":[16],"to":[17,22,45,56,80,87,99],"be":[18],"an":[19,74],"effective":[20],"algorithm":[21,96],"construct":[23],"classification":[24],"models":[25],"over":[26],"the":[27,47,58,64,81,95],"underlying":[28],"imbalanced":[29],"dataset.":[30],"In":[31,49,71],"some":[32],"cases,":[33],"feature":[34],"extraction":[35],"hard":[37],"and":[38],"one":[39],"would":[40],"prefer":[41],"using":[42],"pre-defined":[43],"kernels":[44],"train":[46],"model.":[48],"traditional":[50],"practice,":[51],"valid":[53],"kernel":[54,67,76],"has":[55],"satisfy":[57],"Mercer's":[59],"condition,":[60],"which":[61],"may":[62],"restrict":[63],"design":[65],"of":[66,103],"functions":[68],"or":[69],"matrices.":[70],"this":[72],"paper,":[73],"indefinite":[75],"extension":[77],"applied":[79,98],"SVM":[83],"model":[84],"order":[86],"relieve":[88],"such":[89],"limitation.":[90],"To":[91],"illustrate":[92],"its":[93],"performance,":[94],"perform":[100],"virtual":[101],"screening":[102],"drugs.":[104]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}