{"id":"https://openalex.org/W4401604061","doi":"https://doi.org/10.1007/s10618-024-01067-2","title":"Regularization-based methods for ordinal quantification","display_name":"Regularization-based methods for ordinal quantification","publication_year":2024,"publication_date":"2024-08-15","ids":{"openalex":"https://openalex.org/W4401604061","doi":"https://doi.org/10.1007/s10618-024-01067-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-024-01067-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01067-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01067-2.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/s10618-024-01067-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030817701","display_name":"Mirko Bunse","orcid":"https://orcid.org/0000-0002-5515-6278"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mirko Bunse","raw_affiliation_strings":["Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund University, 44227, Dortmund, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5515-6278","affiliations":[{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund University, 44227, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086354805","display_name":"Alejandro Moreo","orcid":"https://orcid.org/0000-0002-0377-1025"},"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":false,"raw_author_name":"Alejandro Moreo","raw_affiliation_strings":["Istituto di Scienza e Tecnologie dell\u2019Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell\u2019Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063975186","display_name":"Fabrizio Sebastiani","orcid":"https://orcid.org/0000-0003-4221-6427"},"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":false,"raw_author_name":"Fabrizio Sebastiani","raw_affiliation_strings":["Istituto di Scienza e Tecnologie dell\u2019Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell\u2019Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]},{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066365044","display_name":"Martin Senz","orcid":"https://orcid.org/0000-0002-3997-5011"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Senz","raw_affiliation_strings":["Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund University, 44227, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund University, 44227, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030817701"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.9019,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78711885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"38","issue":"6","first_page":"4076","last_page":"4121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9872000217437744,"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/T10320","display_name":"Neural Networks and Applications","score":0.9872000217437744,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9754999876022339,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9666000008583069,"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/ordinal-data","display_name":"Ordinal data","score":0.7228633761405945},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7034695148468018},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5021698474884033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48987430334091187},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.48482266068458557},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.4144194722175598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402407705783844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33479392528533936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33458012342453003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3243919610977173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31173986196517944}],"concepts":[{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.7228633761405945},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7034695148468018},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5021698474884033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48987430334091187},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.48482266068458557},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.4144194722175598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402407705783844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33479392528533936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33458012342453003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3243919610977173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31173986196517944}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-024-01067-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01067-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01067-2.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:iris________::e861d8e8628de9805cbf7b88cd7dc2b2","is_oa":true,"landing_page_url":null,"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","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1007/s10618-024-01067-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01067-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01067-2.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":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1322071649","display_name":null,"funder_award_id":"951911","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3542563520","display_name":null,"funder_award_id":"ICT-48-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4397263494","display_name":null,"funder_award_id":"951911","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5871011076","display_name":null,"funder_award_id":"ICT-48-2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8274803949","display_name":null,"funder_award_id":"871042","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G899169222","display_name":null,"funder_award_id":"871042","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401604061.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W613352991","https://openalex.org/W1488030573","https://openalex.org/W2027731328","https://openalex.org/W2028138594","https://openalex.org/W2034416604","https://openalex.org/W2077414506","https://openalex.org/W2079082863","https://openalex.org/W2084933300","https://openalex.org/W2086023346","https://openalex.org/W2092781712","https://openalex.org/W2103328432","https://openalex.org/W2125101937","https://openalex.org/W2141253686","https://openalex.org/W2158243283","https://openalex.org/W2169733482","https://openalex.org/W2293412847","https://openalex.org/W2295409730","https://openalex.org/W2342355650","https://openalex.org/W2467434233","https://openalex.org/W2469875907","https://openalex.org/W2591578345","https://openalex.org/W2752201871","https://openalex.org/W2757560572","https://openalex.org/W2784045057","https://openalex.org/W2798995101","https://openalex.org/W2890781652","https://openalex.org/W2914411338","https://openalex.org/W2916132663","https://openalex.org/W2949426418","https://openalex.org/W3087961421","https://openalex.org/W3101167034","https://openalex.org/W3104934962","https://openalex.org/W3198338610","https://openalex.org/W4282936242","https://openalex.org/W4292938137","https://openalex.org/W4360982392","https://openalex.org/W4360998196","https://openalex.org/W6600424091","https://openalex.org/W6944216576"],"related_works":["https://openalex.org/W4399574212","https://openalex.org/W2058716166","https://openalex.org/W2503289023","https://openalex.org/W2525848170","https://openalex.org/W2023060082","https://openalex.org/W4399569456","https://openalex.org/W2798701209","https://openalex.org/W2237498897","https://openalex.org/W2050956826","https://openalex.org/W3021328243"],"abstract_inverted_index":{"Abstract":[0],"Quantification,":[1],"i.e.,":[2,51],"the":[3,7,40,48,52,62,98,101,109,116],"task":[4],"of":[5,13,64,100,144,154],"predicting":[6],"class":[8,153],"prevalence":[9],"values":[10],"in":[11,21,38,54,115,162,170,188],"bags":[12],"unlabeled":[14],"data":[15,137],"items,":[16],"has":[17,28],"received":[18],"increased":[19],"attention":[20],"recent":[22],"years.":[23],"However,":[24],"most":[25,110],"quantification":[26,93],"research":[27,95,133],"concentrated":[29],"on":[30,61],"developing":[31],"algorithms":[32,113,126,161],"for":[33,91,195],"binary":[34],"and":[35,86,139],"multi-class":[36],"problems":[37],"which":[39,55,158],"classes":[41],"are":[42],"not":[43],"ordered.":[44],"Here,":[45],"we":[46,84,106,123,149],"study":[47],"ordinal":[49,92,182],"case,":[50],"case":[53],"a":[56,151],"total":[57],"order":[58],"is":[59,172],"defined":[60],"set":[63],"$$n&gt;2$$":[65],"<mml:math":[66],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[67],"<mml:mrow>":[68],"<mml:mi>n</mml:mi>":[69],"<mml:mo>&gt;</mml:mo>":[70],"<mml:mn>2</mml:mn>":[71],"</mml:mrow>":[72],"</mml:math>":[73],"classes.":[74],"We":[75,190],"give":[76],"three":[77],"main":[78],"contributions":[79],"to":[80,167,185],"this":[81,121,168,193],"field.":[82],"First,":[83],"create":[85],"make":[87],"available":[88,103],"two":[89],"datasets":[90],"(OQ)":[94],"that":[96,173,181],"overcome":[97],"inadequacies":[99],"previously":[102],"ones.":[104],"Second,":[105],"experimentally":[107],"compare":[108],"important":[111],"OQ":[112,156],"proposed":[114,127],"literature":[117],"so":[118],"far.":[119],"To":[120],"end,":[122],"bring":[124],"together":[125],"by":[128],"authors":[129],"from":[130],"very":[131],"different":[132],"fields,":[134],"such":[135],"as":[136],"mining":[138],"astrophysics,":[140],"who":[141],"were":[142],"unaware":[143],"each":[145],"others\u2019":[146],"developments.":[147],"Third,":[148],"propose":[150],"novel":[152],"regularized":[155],"algorithms,":[157],"outperforms":[159],"existing":[160],"our":[163,174],"experiments.":[164],"The":[165],"key":[166],"gain":[169],"performance":[171],"regularization":[175],"prevents":[176],"ordinally":[177],"implausible":[178],"estimates,":[179],"assuming":[180],"distributions":[183],"tend":[184],"be":[186],"smooth":[187],"practice.":[189],"informally":[191],"verify":[192],"assumption":[194],"several":[196],"real-world":[197],"applications.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}