{"id":"https://openalex.org/W4386215682","doi":"https://doi.org/10.1007/s10618-023-00961-5","title":"SAL\u03c4: efficiently stopping TAR by improving priors estimates","display_name":"SAL\u03c4: efficiently stopping TAR by improving priors estimates","publication_year":2023,"publication_date":"2023-08-28","ids":{"openalex":"https://openalex.org/W4386215682","doi":"https://doi.org/10.1007/s10618-023-00961-5"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-023-00961-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10618-023-00961-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-023-00961-5.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-023-00961-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103825621","display_name":"Alessio Molinari","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Molinari","raw_affiliation_strings":["Department of Computer Science, University of Pisa, 56124, Pisa, Italy","Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082069715","display_name":"Andrea Esuli","orcid":"https://orcid.org/0000-0002-5725-4322"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Esuli","raw_affiliation_strings":["Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","Istituto di Scienza e Tecnologie dell'Informazione \"A. Faedo\", Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5725-4322","affiliations":[{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell\u2019Informazione \u201cA. Faedo\u201d, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell'Informazione \"A. Faedo\", Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082069715"],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.4228,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68645246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"38","issue":"2","first_page":"535","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T11269","display_name":"Algorithms and Data Compression","score":0.9915000200271606,"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":0.9853000044822693,"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/prior-probability","display_name":"Prior probability","score":0.762283205986023},{"id":"https://openalex.org/keywords/tar","display_name":"tar (computing)","score":0.6795129179954529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4770209789276123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3903936743736267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33400070667266846},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32439130544662476},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16746225953102112}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.762283205986023},{"id":"https://openalex.org/C192643346","wikidata":"https://www.wikidata.org/wiki/Q283579","display_name":"tar (computing)","level":2,"score":0.6795129179954529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4770209789276123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3903936743736267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33400070667266846},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32439130544662476},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16746225953102112},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10618-023-00961-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10618-023-00961-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-023-00961-5.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:dnet:people______::3f5b44d9db605441318708c98f28ffc0","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::3f5b44d9db605441318708c98f28ffc0","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":"Data mining and knowledge discovery (Dordrecht. Online) (2023). doi:10.1007/s10618-023-00961-5","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:it.cnr:prodotti:486036","is_oa":true,"landing_page_url":"http://www.cnr.it/prodotto/i/486036","pdf_url":null,"source":{"id":"https://openalex.org/S7407055101","display_name":"CNR ExploRA","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"info:cnr-pdr/source/autori:Molinari A.; Esuli A./titolo:SALt: efficiently stopping TAR by improving priors estimates/doi:10.1007%2Fs10618-023-00961-5/rivista:Data mining and knowledge discovery (Dordrecht. Online)/anno:2023/pagina_da:/pagina_a:/intervallo_pagine:/volume:","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10618-023-00961-5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s10618-023-00961-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-023-00961-5.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386215682.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2012878613","https://openalex.org/W2028138594","https://openalex.org/W2042932437","https://openalex.org/W2097749765","https://openalex.org/W2122053905","https://openalex.org/W2141253686","https://openalex.org/W2341384651","https://openalex.org/W2512040454","https://openalex.org/W2533861448","https://openalex.org/W2900833639","https://openalex.org/W2951911250","https://openalex.org/W2969341057","https://openalex.org/W3089621169","https://openalex.org/W3110318438","https://openalex.org/W3155157729","https://openalex.org/W3175370130","https://openalex.org/W3175391909","https://openalex.org/W3194612722","https://openalex.org/W3195680661","https://openalex.org/W3197046229","https://openalex.org/W3208696530","https://openalex.org/W4200630748","https://openalex.org/W4327704301","https://openalex.org/W4393479083","https://openalex.org/W6603851832"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W1979597421"],"abstract_inverted_index":{"Abstract":[0],"In":[1,63],"high":[2],"recall":[3,55],"retrieval":[4],"tasks,":[5],"human":[6],"experts":[7],"review":[8,26,50,106],"a":[9,68,82],"large":[10],"pool":[11],"of":[12,17,85,109,119],"documents":[13],"with":[14],"the":[15,33,49,53,60,86,105,110,116,121],"goal":[16],"satisfying":[18],"an":[19,28],"information":[20],"need.":[21],"Documents":[22],"are":[23],"prioritized":[24],"for":[25,79,94],"through":[27],"active":[29,97],"learning":[30],"policy,":[31],"and":[32],"process":[34,51],"is":[35,56],"usually":[36],"referred":[37],"to":[38,47,58],"as":[39],"Technology-Assisted":[40],"Review":[41],"(TAR).":[42],"TAR":[43],"tasks":[44],"also":[45],"aim":[46],"stop":[48],"once":[52],"target":[54,122],"achieved":[57],"minimize":[59],"annotation":[61],"cost.":[62],"this":[64],"paper,":[65],"we":[66],"introduce":[67],"new":[69],"stopping":[70],"rule":[71],"called":[72],"SAL":[73],"$$_\\tau":[74],"^R$$":[75],"<mml:math":[76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msubsup><mml:mrow/><mml:mi>\u03c4</mml:mi><mml:mi>R</mml:mi></mml:msubsup></mml:math>":[77],"(SLD":[78],"Active":[80],"Learning),":[81],"modified":[83],"version":[84],"Saerens\u2013Latinne\u2013Decaestecker":[87],"algorithm":[88,103],"(SLD)":[89],"that":[90,101],"has":[91],"been":[92],"adapted":[93],"use":[95],"in":[96],"learning.":[98],"Experiments":[99],"show":[100],"our":[102],"stops":[104],"well":[107],"ahead":[108],"current":[111],"state-of-the-art":[112],"methods,":[113],"while":[114],"providing":[115],"same":[117],"guarantees":[118],"achieving":[120],"recall.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}