{"id":"https://openalex.org/W4387775786","doi":"https://doi.org/10.3390/info14100572","title":"Prototype Selection for Multilabel Instance-Based Learning","display_name":"Prototype Selection for Multilabel Instance-Based Learning","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387775786","doi":"https://doi.org/10.3390/info14100572"},"language":"en","primary_location":{"id":"doi:10.3390/info14100572","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14100572","pdf_url":"https://www.mdpi.com/2078-2489/14/10/572/pdf?version=1697694676","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/14/10/572/pdf?version=1697694676","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069886817","display_name":"Panagiotis Filippakis","orcid":"https://orcid.org/0009-0004-2611-7319"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis Filippakis","raw_affiliation_strings":["Department of Information and Electronic Engineering, School of Engineering, International Hellenic University, 57400 Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0009-0004-2611-7319","affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering, School of Engineering, International Hellenic University, 57400 Thessaloniki, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043003448","display_name":"Stefanos Ougiaroglou","orcid":"https://orcid.org/0000-0003-1094-2520"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stefanos Ougiaroglou","raw_affiliation_strings":["Department of Information and Electronic Engineering, School of Engineering, International Hellenic University, 57400 Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0003-1094-2520","affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering, School of Engineering, International Hellenic University, 57400 Thessaloniki, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089769845","display_name":"Georgios Evangelidis","orcid":"https://orcid.org/0000-0003-1639-2152"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Evangelidis","raw_affiliation_strings":["Department of Applied Informatics, School of Information Sciences, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0003-1639-2152","affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, School of Information Sciences, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069886817"],"corresponding_institution_ids":["https://openalex.org/I183898223"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.3254,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84698149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"14","issue":"10","first_page":"572","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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":0.9968000054359436,"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":0.9818000197410583,"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/computer-science","display_name":"Computer science","score":0.7123799324035645},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6576021909713745},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6437429785728455},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6267697811126709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5780909061431885},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5523430705070496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5484769940376282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5334242582321167},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5092100501060486},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46059074997901917},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4483085870742798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37476634979248047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3530687093734741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1544766128063202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123799324035645},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6576021909713745},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6437429785728455},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6267697811126709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5780909061431885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5523430705070496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5484769940376282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5334242582321167},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5092100501060486},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46059074997901917},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4483085870742798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37476634979248047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3530687093734741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1544766128063202},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info14100572","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14100572","pdf_url":"https://www.mdpi.com/2078-2489/14/10/572/pdf?version=1697694676","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:00354b83b83e4841858347d2a8970ebc","is_oa":true,"landing_page_url":"https://doaj.org/article/00354b83b83e4841858347d2a8970ebc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 14, Iss 10, p 572 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info14100572","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info14100572","pdf_url":"https://www.mdpi.com/2078-2489/14/10/572/pdf?version=1697694676","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387775786.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1570713908","https://openalex.org/W1647671624","https://openalex.org/W1965551184","https://openalex.org/W1967001541","https://openalex.org/W1968933949","https://openalex.org/W2004362343","https://openalex.org/W2030751442","https://openalex.org/W2052684427","https://openalex.org/W2068514419","https://openalex.org/W2092617083","https://openalex.org/W2094651715","https://openalex.org/W2101234009","https://openalex.org/W2104715395","https://openalex.org/W2107686700","https://openalex.org/W2110549418","https://openalex.org/W2122111042","https://openalex.org/W2146241755","https://openalex.org/W2151537585","https://openalex.org/W2218414677","https://openalex.org/W2297251404","https://openalex.org/W2326876468","https://openalex.org/W2330485005","https://openalex.org/W2343252634","https://openalex.org/W2759144750","https://openalex.org/W2759575792","https://openalex.org/W2802953259","https://openalex.org/W2804834692","https://openalex.org/W2900251950","https://openalex.org/W3008214279","https://openalex.org/W3021577497","https://openalex.org/W4231090319","https://openalex.org/W4244238212","https://openalex.org/W4308986517","https://openalex.org/W4315607857","https://openalex.org/W4377238287","https://openalex.org/W4378417407","https://openalex.org/W6636915900","https://openalex.org/W6675354045","https://openalex.org/W6680483772","https://openalex.org/W6704698082"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2384358604","https://openalex.org/W2038534795","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3181247111","https://openalex.org/W2321594810"],"abstract_inverted_index":{"Reducing":[0],"the":[1,4,22,40,61,118,122,154,168],"size":[2],"of":[3,24,42,70,121,131],"training":[5],"set,":[6,14],"which":[7],"involves":[8],"replacing":[9],"it":[10],"with":[11,92],"a":[12,16,93,107],"condensed":[13],"is":[15,106,117],"widely":[17],"adopted":[18],"practice":[19],"to":[20,29,75,83,98],"enhance":[21],"efficiency":[23],"instance-based":[25],"classifiers":[26],"while":[27],"trying":[28],"maintain":[30],"high":[31],"classification":[32,67,169],"accuracy.":[33,170],"This":[34,127],"objective":[35],"can":[36,81],"be":[37,90],"achieved":[38],"through":[39],"use":[41],"data":[43,94],"reduction":[44,95,164],"techniques,":[45],"also":[46],"known":[47],"as":[48,146,148],"prototype":[49,111],"selection":[50,112],"or":[51],"generation":[52],"algorithms.":[53],"Although":[54],"there":[55],"are":[56,72],"numerous":[57],"algorithms":[58,133],"available":[59],"in":[60],"literature":[62],"that":[63,153],"effectively":[64],"address":[65],"single-label":[66,110],"problems,":[68],"most":[69],"them":[71],"not":[73],"applicable":[74],"multilabel":[76,135],"data,":[77],"where":[78],"an":[79,138],"instance":[80],"belong":[82],"multiple":[84],"classes.":[85],"Well-known":[86],"transformation":[87],"methods":[88],"cannot":[89],"combined":[91],"technique":[96],"due":[97],"different":[99],"reasons.":[100],"The":[101,114],"Condensed":[102,123],"Nearest":[103,124],"Neighbor":[104,125],"rule":[105],"popular":[108],"parameter-free":[109],"algorithm.":[113],"IB2":[115],"algorithm":[116],"one-pass":[119],"variation":[120],"rule.":[126],"paper":[128],"proposes":[129],"variations":[130],"these":[132],"for":[134,159],"data.":[136],"Through":[137],"experimental":[139],"study":[140],"conducted":[141],"on":[142],"nine":[143],"distinct":[144],"datasets":[145],"well":[147],"statistical":[149],"tests,":[150],"we":[151],"demonstrate":[152],"eight":[155],"proposed":[156],"approaches":[157],"(four":[158],"each":[160],"algorithm)":[161],"offer":[162],"significant":[163],"rates":[165],"without":[166],"compromising":[167]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
