{"id":"https://openalex.org/W3034932279","doi":"https://doi.org/10.24963/ijcai.2020/298","title":"Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data","display_name":"Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034932279","doi":"https://doi.org/10.24963/ijcai.2020/298","mag":"3034932279"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/298","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/298","pdf_url":"https://www.ijcai.org/proceedings/2020/0298.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0298.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007286659","display_name":"R\u00e9mi Viola","orcid":"https://orcid.org/0000-0002-7879-2189"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1279696364","display_name":"Ministry of Economy and Finance","ror":"https://ror.org/045qrr805","country_code":"ML","type":"government","lineage":["https://openalex.org/I1279696364"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I4210087660","display_name":"Instituto de \u00d3ptica \"Daza de Vald\u00e9s\"","ror":"https://ror.org/002zef647","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210087660"]}],"countries":["ES","FR","ML"],"is_corresponding":true,"raw_author_name":"R\u00e9mi Viola","raw_affiliation_strings":["CNRS","DGFiP, Ministry of Economy and Finances","Institute of Optics Graduate School","Laboratoire Hubert Curien UMR 5516","University of Lyon, UJM-Saint-Etienne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS","institution_ids":[]},{"raw_affiliation_string":"DGFiP, Ministry of Economy and Finances","institution_ids":["https://openalex.org/I1279696364"]},{"raw_affiliation_string":"Institute of Optics Graduate School","institution_ids":["https://openalex.org/I4210087660"]},{"raw_affiliation_string":"Laboratoire Hubert Curien UMR 5516","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"University of Lyon, UJM-Saint-Etienne","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083517347","display_name":"R\u00e9mi Emonet","orcid":"https://orcid.org/0000-0002-1870-1329"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I4210087660","display_name":"Instituto de \u00d3ptica \"Daza de Vald\u00e9s\"","ror":"https://ror.org/002zef647","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210087660"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"R\u00e9mi Emonet","raw_affiliation_strings":["CNRS","Institute of Optics Graduate School","Laboratoire Hubert Curien UMR 5516","University of Lyon, UJM-Saint-Etienne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS","institution_ids":[]},{"raw_affiliation_string":"Institute of Optics Graduate School","institution_ids":["https://openalex.org/I4210087660"]},{"raw_affiliation_string":"Laboratoire Hubert Curien UMR 5516","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"University of Lyon, UJM-Saint-Etienne","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803328","display_name":"Amaury Habrard","orcid":"https://orcid.org/0000-0003-3038-9347"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I4210087660","display_name":"Instituto de \u00d3ptica \"Daza de Vald\u00e9s\"","ror":"https://ror.org/002zef647","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210087660"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"Amaury Habrard","raw_affiliation_strings":["CNRS","Institute of Optics Graduate School","Laboratoire Hubert Curien UMR 5516","University of Lyon, UJM-Saint-Etienne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS","institution_ids":[]},{"raw_affiliation_string":"Institute of Optics Graduate School","institution_ids":["https://openalex.org/I4210087660"]},{"raw_affiliation_string":"Laboratoire Hubert Curien UMR 5516","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"University of Lyon, UJM-Saint-Etienne","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047233241","display_name":"Guillaume Metzler","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I4210087660","display_name":"Instituto de \u00d3ptica \"Daza de Vald\u00e9s\"","ror":"https://ror.org/002zef647","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210087660"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"Guillaume Metzler","raw_affiliation_strings":["CNRS","Institute of Optics Graduate School","Laboratoire Hubert Curien UMR 5516","University of Lyon, UJM-Saint-Etienne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS","institution_ids":[]},{"raw_affiliation_string":"Institute of Optics Graduate School","institution_ids":["https://openalex.org/I4210087660"]},{"raw_affiliation_string":"Laboratoire Hubert Curien UMR 5516","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"University of Lyon, UJM-Saint-Etienne","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020817426","display_name":"Marc Sebban","orcid":"https://orcid.org/0000-0001-6851-169X"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210085887","display_name":"Laboratoire Hubert Curien","ror":"https://ror.org/0028p8r67","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I277688954","https://openalex.org/I4210085887","https://openalex.org/I4210091746","https://openalex.org/I4210095849","https://openalex.org/I4405259976","https://openalex.org/I4405259976","https://openalex.org/I4405263940","https://openalex.org/I48430043","https://openalex.org/I59692284"]},{"id":"https://openalex.org/I4210087660","display_name":"Instituto de \u00d3ptica \"Daza de Vald\u00e9s\"","ror":"https://ror.org/002zef647","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210087660"]}],"countries":["ES","FR"],"is_corresponding":false,"raw_author_name":"Marc Sebban","raw_affiliation_strings":["CNRS","Institute of Optics Graduate School","Laboratoire Hubert Curien UMR 5516","University of Lyon, UJM-Saint-Etienne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS","institution_ids":[]},{"raw_affiliation_string":"Institute of Optics Graduate School","institution_ids":["https://openalex.org/I4210087660"]},{"raw_affiliation_string":"Laboratoire Hubert Curien UMR 5516","institution_ids":["https://openalex.org/I4210085887"]},{"raw_affiliation_string":"University of Lyon, UJM-Saint-Etienne","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007286659"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1279696364","https://openalex.org/I4210085887","https://openalex.org/I4210087660"],"apc_list":null,"apc_paid":null,"fwci":0.408,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69169027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2155","last_page":"2161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9955999851226807,"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":0.9790999889373779,"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/false-positive-paradox","display_name":"False positive paradox","score":0.7928726673126221},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7391945123672485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118557691574097},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6991663575172424},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6868563890457153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5749168992042542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5542272925376892},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5173353552818298},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5077317953109741},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48391562700271606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3631160855293274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17797669768333435}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7928726673126221},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7391945123672485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118557691574097},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6991663575172424},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6868563890457153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5749168992042542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5542272925376892},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5173353552818298},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5077317953109741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48391562700271606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3631160855293274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17797669768333435},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2020/298","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/298","pdf_url":"https://www.ijcai.org/proceedings/2020/0298.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02611586v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02611586","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. pp.2155-2161, ⟨10.24963/ijcai.2020/298⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/298","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/298","pdf_url":"https://www.ijcai.org/proceedings/2020/0298.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3723191308","display_name":null,"funder_award_id":"ANR-15-CE23-0026","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4774453313","display_name":null,"funder_award_id":"IDEX-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5581592341","display_name":null,"funder_award_id":"16-IDEX-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7687102272","display_name":null,"funder_award_id":"ANR-16-IDEX-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034932279.pdf","grobid_xml":"https://content.openalex.org/works/W3034932279.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1898424075","https://openalex.org/W2068086934","https://openalex.org/W2106053110","https://openalex.org/W2121949863","https://openalex.org/W2128085357","https://openalex.org/W2130556178","https://openalex.org/W2169495281","https://openalex.org/W2273614765","https://openalex.org/W2338990760","https://openalex.org/W2440599146","https://openalex.org/W2467502512","https://openalex.org/W2533835508","https://openalex.org/W2604968786","https://openalex.org/W2749768874","https://openalex.org/W2793244874","https://openalex.org/W2808330059","https://openalex.org/W2808524518","https://openalex.org/W2904637474","https://openalex.org/W2907754184","https://openalex.org/W2941073073","https://openalex.org/W2944612303","https://openalex.org/W2964050365","https://openalex.org/W3006585014","https://openalex.org/W3123373525","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W3162204513","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W2070813941","https://openalex.org/W2105707930","https://openalex.org/W2075445622"],"abstract_inverted_index":{"Learning":[0,43],"from":[1,15,44],"imbalanced":[2,113,140],"data,":[3],"where":[4],"the":[5,35,77,81,84,95,99,116,128,143],"positive":[6,73,130],"examples":[7,74],"are":[8],"very":[9],"scarce,":[10],"remains":[11],"a":[12,17,30,48,56,62,67,102,105],"challenging":[13],"task":[14],"both":[16],"theoretical":[18],"and":[19,131],"algorithmic":[20,117],"perspective.":[21],"In":[22],"this":[23,27],"paper,":[24],"we":[25],"address":[26],"problem":[28],"using":[29],"metric":[31],"learning":[32],"strategy.":[33],"Unlike":[34],"state-of-the-art":[36],"methods,":[37],"our":[38,122,146],"algorithm":[39],"MLFP,":[40,121],"for":[41],"Metric":[42],"Few":[45],"Positives,":[46],"learns":[47],"new":[49],"representation":[50],"that":[51],"is":[52,59,108],"used":[53],"only":[54],"when":[55],"test":[57],"query":[58,78],"compared":[60],"to":[61,76,83,93,110],"minority":[63],"training":[64],"example.":[65],"From":[66],"geometric":[68],"perspective,":[69],"it":[70],"artificially":[71],"brings":[72],"closer":[75],"without":[79],"changing":[80],"distances":[82],"negative":[85,133],"(majority":[86],"class)":[87],"data.":[88],"This":[89],"strategy":[90],"allows":[91],"us":[92],"expand":[94],"decision":[96],"boundaries":[97],"around":[98],"positives,":[100],"yielding":[101],"better":[103],"F-Measure,":[104],"criterion":[106],"which":[107],"suited":[109],"deal":[111],"with":[112],"scenarios.":[114],"Beyond":[115],"contribution":[118],"provided":[119],"by":[120],"paper":[123],"presents":[124],"generalization":[125],"guarantees":[126],"on":[127,138],"false":[129,132],"rates.":[134],"Extensive":[135],"experiments":[136],"conducted":[137],"several":[139],"datasets":[141],"show":[142],"effectiveness":[144],"of":[145],"method.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}