{"id":"https://openalex.org/W4385059892","doi":"https://doi.org/10.34768/amcs-2022-0022","title":"Revisiting strategies for fitting logistic regression for positive and unlabeled data","display_name":"Revisiting strategies for fitting logistic regression for positive and unlabeled data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4385059892","doi":"https://doi.org/10.34768/amcs-2022-0022"},"language":"en","primary_location":{"id":"doi:10.34768/amcs-2022-0022","is_oa":true,"landing_page_url":"http://dx.doi.org/10.34768/amcs-2022-0022","pdf_url":"https://reference-global.com/2/v2/download/article/10.34768/amcs-2022-0022.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://reference-global.com/2/v2/download/article/10.34768/amcs-2022-0022.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088274729","display_name":"Adam Wawrze\u0144czyk","orcid":"https://orcid.org/0000-0002-6202-7829"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CZ","PL"],"is_corresponding":true,"raw_author_name":"Adam Wawrze\u0144czyk","raw_affiliation_strings":["Institute of Computer Science, Polish Academy of Sciences","Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5, 01-248 Warsaw, Poland","professor at the Faculty of Math-ematics and Information Sciences of the Warsaw University of Tech-nology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences","institution_ids":["https://openalex.org/I4210155092","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5, 01-248 Warsaw, Poland","institution_ids":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"raw_affiliation_string":"professor at the Faculty of Math-ematics and Information Sciences of the Warsaw University of Tech-nology","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084772706","display_name":"Jan Mielniczuk","orcid":"https://orcid.org/0000-0003-2621-2303"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210136912","display_name":"Wy\u017csza Szko\u0142a Technologii Informatycznych w Warszawie","ror":"https://ror.org/03v1svm63","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210136912"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CZ","PL"],"is_corresponding":false,"raw_author_name":"Jan Mielniczuk","raw_affiliation_strings":["Faculty of Mathematics and Information Sciences, Warsaw University of Technology","Institute of Computer Science, Polish Academy of Sciences","Faculty of Mathematics and Information Sciences Warsaw University of Technology Koszykowa 5, 00-662 Warsaw, Poland","Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5, 01-248 Warsaw, Poland","professor at the Faculty of Math-ematics and Information Sciences of the Warsaw University of Tech-nology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Sciences, Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210136912"]},{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences","institution_ids":["https://openalex.org/I4210155092","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Faculty of Mathematics and Information Sciences Warsaw University of Technology Koszykowa 5, 00-662 Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5, 01-248 Warsaw, Poland","institution_ids":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"raw_affiliation_string":"professor at the Faculty of Math-ematics and Information Sciences of the Warsaw University of Tech-nology","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088274729"],"corresponding_institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210087266","https://openalex.org/I4210155092","https://openalex.org/I99542240"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":0.1162,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55919778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":"2","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9835000038146973,"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":0.9812999963760376,"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/logistic-regression","display_name":"Logistic regression","score":0.7705565094947815},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46113574504852295},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4384388327598572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40207958221435547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434576392173767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3405059576034546}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7705565094947815},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46113574504852295},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4384388327598572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40207958221435547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434576392173767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3405059576034546}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.34768/amcs-2022-0022","is_oa":true,"landing_page_url":"http://dx.doi.org/10.34768/amcs-2022-0022","pdf_url":"https://reference-global.com/2/v2/download/article/10.34768/amcs-2022-0022.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2b7541d84b6449a9ae55644459c31d7d","is_oa":true,"landing_page_url":"https://doaj.org/article/2b7541d84b6449a9ae55644459c31d7d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Mathematics and Computer Science, Vol 32, Iss 2, Pp 299-309 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.34768/amcs-2022-0022","is_oa":true,"landing_page_url":"http://dx.doi.org/10.34768/amcs-2022-0022","pdf_url":"https://reference-global.com/2/v2/download/article/10.34768/amcs-2022-0022.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5600000023841858,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385059892.pdf","grobid_xml":"https://content.openalex.org/works/W4385059892.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1978033244","https://openalex.org/W2000288463","https://openalex.org/W2123958887","https://openalex.org/W2134510195","https://openalex.org/W2152076465","https://openalex.org/W2166765763","https://openalex.org/W2221524898","https://openalex.org/W2478708596","https://openalex.org/W2605006890","https://openalex.org/W2788085070","https://openalex.org/W2899867782","https://openalex.org/W2963718773","https://openalex.org/W3030275537","https://openalex.org/W3036179159","https://openalex.org/W3094604059","https://openalex.org/W3172877144"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793","https://openalex.org/W3211735916"],"abstract_inverted_index":{"<abstract":[0],"xmlns=\"http://www.w3.org/1999/xhtml\">":[1],"Positive":[2],"unlabeled":[3],"(PU)":[4],"learning":[5],"is":[6,51,82],"an":[7,64],"important":[8],"problem":[9],"motivated":[10],"by":[11,107,113],"the":[12,54,57,60,72,90,97,115,119,127,131,136],"occurrence":[13],"of":[14,17,32,74],"this":[15],"type":[16],"partial":[18],"observability":[19],"in":[20,29,126],"many":[21],"applications.":[22],"The":[23,48],"present":[24],"paper":[25],"reconsiders":[26],"recent":[27],"advances":[28],"parametric":[30],"modeling":[31],"PU":[33],"data":[34,110],"based":[35,52],"on":[36,53],"empirical":[37],"likelihood":[38,58],"maximization":[39],"and":[40,63,77,130],"argues":[41],"that":[42,56],"they":[43],"can":[44,68],"be":[45,69,103],"significantly":[46],"improved.":[47],"proposed":[49],"approach":[50],"fact":[55],"for":[59],"logistic":[61],"fit":[62],"unknown":[65],"labeling":[66],"frequency":[67,133],"expressed":[70],"as":[71,89],"sum":[73],"a":[75,78],"convex":[76],"concave":[79],"function,":[80],"which":[81],"explicitly":[83],"given.":[84],"This":[85],"allows":[86],"methods":[87],"such":[88],"concave-convex":[91],"procedure":[92,100],"(CCCP)":[93],"or":[94],"its":[95],"variant,":[96],"disciplined":[98],"convex-concave":[99],"(DCCP),":[101],"to":[102,117],"applied.":[104],"We":[105],"show":[106],"analyzing":[108],"real":[109],"sets":[111],"that,":[112],"using":[114],"DCCP":[116],"solve":[118],"optimization":[120],"problem,":[121],"we":[122],"obtain":[123],"significant":[124],"improvements":[125],"posterior":[128],"probability":[129],"label":[132],"estimation":[134],"over":[135],"best":[137],"available":[138],"competitors.":[139],"</abstract>":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2023-07-23T00:00:00"}
