{"id":"https://openalex.org/W2739693175","doi":"https://doi.org/10.24963/ijcai.2017/457","title":"Positive unlabeled learning via wrapper-based adaptive sampling","display_name":"Positive unlabeled learning via wrapper-based adaptive sampling","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2739693175","doi":"https://doi.org/10.24963/ijcai.2017/457","mag":"2739693175"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/457","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/457","pdf_url":"https://www.ijcai.org/proceedings/2017/0457.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0457.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114375167","display_name":"Pengyi Yang","orcid":"https://orcid.org/0000-0003-1098-3138"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Pengyi Yang","raw_affiliation_strings":["Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103973299","display_name":"Wei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Advanced Analytics Institute, University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Analytics Institute, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028524705","display_name":"Jean Yang","orcid":"https://orcid.org/0000-0002-5271-2603"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jean Yang","raw_affiliation_strings":["Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114375167"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":2.7053,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9236273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3273","last_page":"3279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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":0.681180477142334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534076929092407},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6117965579032898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5268867015838623},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5024666786193848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4984428882598877},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49747851490974426},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4954925775527954},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4671579897403717},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45254090428352356},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.43482616543769836},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.41128382086753845},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4101119935512543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3398481607437134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681180477142334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534076929092407},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6117965579032898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5268867015838623},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5024666786193848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4984428882598877},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49747851490974426},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4954925775527954},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4671579897403717},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45254090428352356},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.43482616543769836},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.41128382086753845},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4101119935512543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398481607437134},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/457","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/457","pdf_url":"https://www.ijcai.org/proceedings/2017/0457.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/457","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/457","pdf_url":"https://www.ijcai.org/proceedings/2017/0457.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5208258750","display_name":null,"funder_award_id":"1105271","funder_id":"https://openalex.org/F4320334705","funder_display_name":"National Health and Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334705","display_name":"National Health and Medical Research Council","ror":"https://ror.org/011kf5r70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739693175.pdf","grobid_xml":"https://content.openalex.org/works/W2739693175.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W9155011","https://openalex.org/W14576171","https://openalex.org/W22461475","https://openalex.org/W1861993554","https://openalex.org/W2012914116","https://openalex.org/W2017337590","https://openalex.org/W2050871273","https://openalex.org/W2077373870","https://openalex.org/W2123958887","https://openalex.org/W2124431629","https://openalex.org/W2130652100","https://openalex.org/W2133227149","https://openalex.org/W2134510195","https://openalex.org/W2139578439","https://openalex.org/W2142047467","https://openalex.org/W2170283814","https://openalex.org/W2248525918","https://openalex.org/W2912934387","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2013810580","https://openalex.org/W2186210338","https://openalex.org/W4206276646","https://openalex.org/W121244246","https://openalex.org/W2168489430","https://openalex.org/W4312390859"],"abstract_inverted_index":{"Learning":[0],"from":[1,50,69,118],"positive":[2,15,44,101],"and":[3,45,52,102],"unlabeled":[4,53,85,106,119],"data":[5,24,47],"frequently":[6],"occurs":[7],"in":[8,105],"applications":[9],"where":[10],"only":[11],"a":[12,36,70,91,132],"subset":[13],"of":[14,22,125,138],"instances":[16,104],"is":[17,33],"available":[18],"while":[19],"the":[20,23,31,75,123],"rest":[21],"are":[25],"unlabeled.":[26],"In":[27,55],"such":[28],"scenarios,":[29],"often":[30],"goal":[32],"to":[34,72,94,99,122,130],"create":[35],"discriminant":[37],"model":[38,71,93,135],"that":[39,65],"can":[40,115],"accurately":[41],"classify":[42],"both":[43],"negative":[46,103,113],"by":[48],"modelling":[49],"labeled":[51],"instances.":[54],"this":[56],"study,":[57],"we":[58],"propose":[59],"an":[60],"adaptive":[61],"sampling":[62],"(AdaSampling)":[63],"approach":[64],"utilises":[66],"prediction":[67],"probabilities":[68,82,98],"iteratively":[73,95],"update":[74,96],"training":[76],"data.":[77,107],"Starting":[78],"with":[79],"equal":[80],"prior":[81],"for":[83],"all":[84],"data,":[86,120],"our":[87],"method":[88],"\"wraps\"":[89],"around":[90],"predictive":[92],"these":[97],"distinguish":[100],"Subsequently,":[108],"one":[109],"or":[110,136],"more":[111],"robust":[112],"set(s)":[114],"be":[116],"drawn":[117],"according":[121],"likelihood":[124],"each":[126],"instance":[127],"being":[128],"negative,":[129],"train":[131],"single":[133],"classification":[134],"ensemble":[137],"models.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}