{"id":"https://openalex.org/W3208623732","doi":"https://doi.org/10.1145/3459637.3482015","title":"QuaPy: A Python-Based Framework for Quantification","display_name":"QuaPy: A Python-Based Framework for Quantification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3208623732","doi":"https://doi.org/10.1145/3459637.3482015","mag":"3208623732"},"language":"en","primary_location":{"id":"pmh:oai:dnet:people______::879f9d1923073c8134682222ae1ddbc8","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::879f9d1923073c8134682222ae1ddbc8","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CIKM 2021 - 30th International Conference on Information and Knowledge Management, pp. 4534\u20134543, Online conference, 01-05/11/2021","raw_type":"http://purl.org/coar/resource_type/c_5794"},"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openportal.isti.cnr.it/doc?id=people______::879f9d1923073c8134682222ae1ddbc8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086354805","display_name":"Alejandro Moreo","orcid":"https://orcid.org/0000-0002-0377-1025"},"institutions":[{"id":"https://openalex.org/I4210107558","display_name":"Consorzio Pisa Ricerche","ror":"https://ror.org/01t0n3b84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210107558"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Moreo A.","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I4210107558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082069715","display_name":"Andrea Esuli","orcid":"https://orcid.org/0000-0002-5725-4322"},"institutions":[{"id":"https://openalex.org/I4210107558","display_name":"Consorzio Pisa Ricerche","ror":"https://ror.org/01t0n3b84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210107558"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Esuli A.","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I4210107558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063975186","display_name":"Fabrizio Sebastiani","orcid":"https://orcid.org/0000-0003-4221-6427"},"institutions":[{"id":"https://openalex.org/I4210107558","display_name":"Consorzio Pisa Ricerche","ror":"https://ror.org/01t0n3b84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210107558"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiani F.","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I4210107558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210107558"],"apc_list":null,"apc_paid":null,"fwci":1.6108,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86850098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"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/T13398","display_name":"Data Analysis with R","score":0.9843000173568726,"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/T13398","display_name":"Data Analysis with R","score":0.9843000173568726,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.979200005531311,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.9055201411247253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8167986869812012},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.5767340660095215},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.517811119556427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48016542196273804},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.471858948469162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47156378626823425},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4709416627883911},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.433418869972229},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.308552086353302}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.9055201411247253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167986869812012},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.5767340660095215},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.517811119556427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48016542196273804},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.471858948469162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47156378626823425},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4709416627883911},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.433418869972229},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.308552086353302}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:dnet:people______::879f9d1923073c8134682222ae1ddbc8","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::879f9d1923073c8134682222ae1ddbc8","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CIKM 2021 - 30th International Conference on Information and Knowledge Management, pp. 4534\u20134543, Online conference, 01-05/11/2021","raw_type":"http://purl.org/coar/resource_type/c_5794"},{"id":"pmh:oai:zenodo.org:5560941","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482015","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"CIKM 2021, 30th ACM International Conference on Information and Knowledge Management","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:dnet:people______::879f9d1923073c8134682222ae1ddbc8","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::879f9d1923073c8134682222ae1ddbc8","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CIKM 2021 - 30th International Conference on Information and Knowledge Management, pp. 4534\u20134543, Online conference, 01-05/11/2021","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1919365417","https://openalex.org/W1972047492","https://openalex.org/W2004606681","https://openalex.org/W2011616828","https://openalex.org/W2067977748","https://openalex.org/W2084933300","https://openalex.org/W2110914202","https://openalex.org/W2111084382","https://openalex.org/W2141253686","https://openalex.org/W2158243283","https://openalex.org/W2165886501","https://openalex.org/W2171060319","https://openalex.org/W2186678232","https://openalex.org/W2293605466","https://openalex.org/W2460419103","https://openalex.org/W2467434233","https://openalex.org/W2596289355","https://openalex.org/W2757560572","https://openalex.org/W2784045057","https://openalex.org/W2890781652","https://openalex.org/W2939314714","https://openalex.org/W2974133468","https://openalex.org/W2997591727","https://openalex.org/W3101167034","https://openalex.org/W3120740533","https://openalex.org/W3123899751","https://openalex.org/W4287606180"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W2207495067","https://openalex.org/W1906486629","https://openalex.org/W4401741136","https://openalex.org/W2557718140","https://openalex.org/W4399490472","https://openalex.org/W67092138"],"abstract_inverted_index":{"<p>QuaPy":[0],"is":[1,16,28,88,156],"an":[2],"open-source":[3,157],"framework":[4],"for":[5,94,111,138,145],"performing":[6],"quantification":[7,51,107],"(a.k.a.":[8,36],"supervised":[9,23],"prevalence":[10,37],"estimation),":[11],"written":[12],"in":[13,44,128],"Python.":[14],"Quantification":[15],"the":[17,33,40,129,147,152],"task":[18],"of":[19,39,42,47,99,102,109,115,122,151],"training":[20],"quantifiers":[21],"via":[22,165,171],"learning,":[24],"where":[25],"a":[26,29,45,58,100,162],"quantifier":[27],"predictor":[30],"that":[31,82],"estimates":[32],"relative":[34],"frequencies":[35],"values)":[38],"classes":[41],"interest":[43],"sample":[46],"unlabelled":[48,63],"data.":[49],"While":[50],"can":[52,168],"be":[53,169],"trivially":[54],"performed":[55],"by":[56,90],"applying":[57],"standard":[59],"classifier":[60],"to":[61,75],"each":[62,76],"data":[64,70],"item":[65],"and":[66,85,105,121,141,149,158,167],"counting":[67],"how":[68],"many":[69],"items":[71],"have":[72],"been":[73,80],"assigned":[74],"class,":[77],"it":[78],"has":[79],"shown":[81],"this":[83],"“classify":[84],"count”":[86],"method":[87],"outperformed":[89],"methods":[91,104],"specifically":[92],"designed":[93],"quantification.":[95],"QuaPy":[96,131],"provides":[97],"implementations":[98],"number":[101],"baseline":[103],"advanced":[106],"methods,":[108],"routines":[110],"quantification-oriented":[112],"model":[113],"selection,":[114],"several":[116],"broadly":[117],"accepted":[118],"evaluation":[119,124],"measures,":[120],"robust":[123],"protocols":[125],"routinely":[126],"used":[127,137],"field.":[130],"also":[132],"makes":[133],"available":[134,160],"datasets":[135],"commonly":[136],"testing":[139],"quantifiers,":[140],"offers":[142],"visualization":[143],"tools":[144],"facilitating":[146],"analysis":[148],"interpretation":[150],"results.":[153],"The":[154],"software":[155],"publicly":[159],"under":[161],"BSD-3":[163],"licence":[164],"GitHub,":[166],"installed":[170],"pip.</p>":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}