{"id":"https://openalex.org/W4393485173","doi":"https://doi.org/10.5281/zenodo.8177302","title":"UCI and OpenML Data Sets for Ordinal Quantification","display_name":"UCI and OpenML Data Sets for Ordinal Quantification","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4393485173","doi":"https://doi.org/10.5281/zenodo.8177302"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:8177302","is_oa":true,"landing_page_url":"https://zenodo.org/record/8177302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/8177302","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":false,"raw_author_name":"Bunse, Mirko","raw_affiliation_strings":["TU Dortmund University"],"raw_orcid":"https://orcid.org/0000-0002-5515-6278","affiliations":[{"raw_affiliation_string":"TU Dortmund University","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/I4210144062","display_name":"Consorzio Roma Ricerche","ror":"https://ror.org/03jvpn714","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210144062"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Moreo, Alejandro","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche"],"raw_orcid":"https://orcid.org/0000-0002-0377-1025","affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche","institution_ids":["https://openalex.org/I4210144062"]}]},{"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/I4210144062","display_name":"Consorzio Roma Ricerche","ror":"https://ror.org/03jvpn714","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210144062"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiani, Fabrizio","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche"],"raw_orcid":"https://orcid.org/0000-0003-4221-6427","affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche","institution_ids":["https://openalex.org/I4210144062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070642734","display_name":"Martin Senz","orcid":"https://orcid.org/0000-0002-9377-3939"},"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":"Senz, Martin","raw_affiliation_strings":["TU Dortmund University"],"raw_orcid":"https://orcid.org/0000-0002-9377-3939","affiliations":[{"raw_affiliation_string":"TU Dortmund University","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10320","display_name":"Neural Networks and Applications","score":0.46050000190734863,"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":0.46050000190734863,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.4309000074863434,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.4146000146865845,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.7661075592041016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45065638422966003},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.44564732909202576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.369861900806427},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36740991473197937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3509999215602875}],"concepts":[{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.7661075592041016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45065638422966003},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.44564732909202576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.369861900806427},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36740991473197937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3509999215602875}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:zenodo.org:8177302","is_oa":true,"landing_page_url":"https://zenodo.org/record/8177302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.5281/zenodo.8177302","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8177302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:8177302","is_oa":true,"landing_page_url":"https://zenodo.org/record/8177302","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[],"awards":[{"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/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/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2525848170","https://openalex.org/W2058716166","https://openalex.org/W3021328243","https://openalex.org/W1536163558","https://openalex.org/W3048680633","https://openalex.org/W141250983","https://openalex.org/W1992168264","https://openalex.org/W2506242593","https://openalex.org/W3110712162","https://openalex.org/W4246163636"],"abstract_inverted_index":{"These":[0],"four":[1,192],"labeled":[2],"data":[3,68,74,95],"sets":[4,31],"are":[5,105,142,165,177],"targeted":[6,170],"at":[7,171],"ordinal":[8,53,109,172,279],"quantification.":[9,110],"The":[10,52,97,148,207,272],"goal":[11],"of":[12,20,27,32,60,73,81,140,161,182,284],"quantification":[13,173],"is":[14,130,152,169,201,269,277],"not":[15],"to":[16,217,226],"predict":[17],"the":[18,25,35,44,71,93,117,131,158,196,212,270,278],"label":[19],"each":[21,79,114,266],"individual":[22],"instance,":[23],"but":[24],"distribution":[26],"labels":[28,55,141],"in":[29,78,116,204,221,237,265],"unlabeled":[30],"data.":[33],"With":[34],"scripts":[36],"provided,":[37],"you":[38,85,245],"can":[39,86,185,190,246],"extract":[40,191],"CSV":[41,193,267],"files":[42,118,194],"from":[43,50,57,100],"UCI":[45],"machine":[46],"learning":[47],"repository":[48],"and":[49,122,179,209],"OpenML.":[51],"class":[54],"stem":[56,99],"a":[58,61,153,180,205,218,228],"binning":[59],"continuous":[62],"regression":[63],"label.":[64],"We":[65,232],"complement":[66],"this":[67,112],"set":[69],"with":[70,144],"indices":[72,98],"items":[75],"that":[76,104],"appear":[77],"sample":[80],"our":[82,89,238,285],"evaluation.":[83],"Hence,":[84],"precisely":[87],"replicate":[88],"samples":[90,164],"by":[91],"drawing":[92],"specified":[94],"items.":[96],"two":[101],"evaluation":[102],"protocols":[103],"well":[106],"suited":[107],"for":[108],"To":[111],"end,":[113],"row":[115,264],"<em>app_val_indices.csv</em>,":[119],"<em>app_tst_indices.csv</em>,":[120],"<em>app-oq_val_indices.csv</em>,":[121],"<em>app-oq_tst_indices.csv</em>":[123],"represents":[124],"one":[125],"sample.":[126],"Our":[127],"first":[128,263,273],"protocol":[129,134],"artificial":[132],"prevalence":[133],"(APP),":[135],"where":[136,156,175],"all":[137,162],"possible":[138],"distributions":[139],"drawn":[143],"an":[145],"equal":[146],"probability.":[147],"second":[149],"protocol,":[150],"APP-OQ,":[151],"variant":[154,168],"thereof,":[155],"only":[157],"smoothest":[159],"20%":[160],"APP":[163],"considered.":[166],"This":[167],"tasks,":[174],"classes":[176,184],"ordered":[178],"similarity":[181],"neighboring":[183],"be":[186],"assumed.":[187],"<strong>Usage</strong>":[188],"You":[189,224],"through":[195],"provided":[197],"script":[198],"<em>extract-oq.jl</em>,":[199],"which":[200],"conveniently":[202],"wrapped":[203],"<em>Makefile</em>.":[206],"<em>Project.toml</em>":[208],"<em>Manifest.toml</em>":[210],"specify":[211],"Julia":[213,230,235],"package":[214],"dependencies,":[215],"similar":[216],"requirements":[219],"file":[220,268],"Python.":[222],"<strong>Preliminaries:</strong>":[223],"have":[225,227,233],"working":[229],"installation.":[231],"used":[234],"v1.6.5":[236],"experiments.":[239],"<strong>Data":[240],"Extraction:</strong>":[241],"In":[242],"your":[243],"terminal,":[244],"call":[247],"either":[248],"<pre><code>make</code></pre>":[249],"(recommended),":[250],"or":[251],"<pre><code>julia":[252],"--project=\".\"":[253,259],"--eval":[254],"\"using":[255],"Pkg;":[256],"Pkg.instantiate()\"":[257],"julia":[258],"extract-oq.jl</code></pre>":[260],"<strong>Outcome:":[261],"</strong>The":[262],"header.":[271],"column,":[274],"named":[275],"\"class_label\",":[276],"class.":[280],"<strong>Further":[281],"Reading</strong>":[282],"Implementation":[283],"experiments:":[286],"https://github.com/mirkobunse/regularized-oq":[287]},"counts_by_year":[],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}