{"id":"https://openalex.org/W2091630238","doi":"https://doi.org/10.1109/smc.2014.6974215","title":"Choosing instance selection method using meta-learning","display_name":"Choosing instance selection method using meta-learning","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2091630238","doi":"https://doi.org/10.1109/smc.2014.6974215","mag":"2091630238"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6974215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011492618","display_name":"Shayane de Oliveira Moura","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I4210088940","display_name":"Instituto Federal do Sert\u00e3o Pernambucano","ror":"https://ror.org/00aj4th23","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210088940"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Shayane de Oliveira Moura","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil","Departamento de Inform\u00e1tica, Instituto Federal do Sert\u00e3o Pernambucano, Ouricuri, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Instituto Federal do Sert\u00e3o Pernambucano, Ouricuri, Brazil","institution_ids":["https://openalex.org/I4210088940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000675115","display_name":"Marcelo Bassani de Freitas","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Bassani de Freitas","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039392953","display_name":"Halisson Alberdan Cavalcanti Cardoso","orcid":"https://orcid.org/0000-0002-1166-481X"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Halisson A. C. Cardoso","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084140678","display_name":"George D. C. Cavalcanti","orcid":"https://orcid.org/0000-0001-7714-2283"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"George D. C. Cavalcanti","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011492618"],"corresponding_institution_ids":["https://openalex.org/I25112270","https://openalex.org/I4210088940"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8508082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2003","last_page":"2007"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9519000053405762,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8321883678436279},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6374150514602661},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6312045454978943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6073288917541504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961006879806519},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5014097690582275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48561540246009827},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48301658034324646},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46733152866363525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321883678436279},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6374150514602661},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6312045454978943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6073288917541504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961006879806519},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5014097690582275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48561540246009827},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48301658034324646},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46733152866363525},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2014.6974215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1511618494","https://openalex.org/W1523590985","https://openalex.org/W1528113134","https://openalex.org/W1994410331","https://openalex.org/W1997263675","https://openalex.org/W2092353981","https://openalex.org/W2098631313","https://openalex.org/W2105306795","https://openalex.org/W2107686700","https://openalex.org/W2114054919","https://openalex.org/W2122111042","https://openalex.org/W2122496402","https://openalex.org/W2123623606","https://openalex.org/W2125055259","https://openalex.org/W2147169507","https://openalex.org/W2151537585","https://openalex.org/W2155832536","https://openalex.org/W2158724449","https://openalex.org/W2162583212","https://openalex.org/W2163952039","https://openalex.org/W2164641162","https://openalex.org/W2165409713","https://openalex.org/W2408223895","https://openalex.org/W4212883601","https://openalex.org/W4235456164","https://openalex.org/W4244238212","https://openalex.org/W6631388279","https://openalex.org/W6683357198","https://openalex.org/W6683984541","https://openalex.org/W6713867965"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2786928087","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2784287478","https://openalex.org/W2134699697","https://openalex.org/W2091347716","https://openalex.org/W98577079","https://openalex.org/W4319309271","https://openalex.org/W2548988175"],"abstract_inverted_index":{"Many":[0],"instance":[1],"selection":[2],"methods":[3,15],"(ISMs)":[4],"have":[5],"been":[6],"widely":[7],"studied":[8],"and":[9,55,69],"proposed.":[10],"But":[11],"none":[12],"of":[13],"these":[14],"obtain":[16],"good":[17],"performance":[18,54],"on":[19,65],"every":[20],"data":[21,38,57,67],"set.":[22,39],"In":[23],"this":[24],"work,":[25],"we":[26],"propose":[27],"an":[28],"architecture":[29],"to":[30,43],"select":[31],"the":[32,49,52,56],"best":[33],"ISM":[34],"for":[35],"a":[36,45],"given":[37],"We":[40],"use":[41],"meta-learning":[42],"train":[44],"meta-classifier":[46],"that":[47],"learns":[48],"relationship":[50],"between":[51],"ISMs":[53],"set":[58],"structure.":[59],"The":[60],"proposed":[61],"method":[62],"was":[63],"evaluated":[64],"public":[66],"sets":[68],"showed":[70],"better":[71],"results":[72],"than":[73],"traditional":[74],"approaches.":[75]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}