{"id":"https://openalex.org/W2468142602","doi":"https://doi.org/10.1109/eais.2016.7502504","title":"Achieving semi-supervised incremental learning with Learn++ and simple recycled selection","display_name":"Achieving semi-supervised incremental learning with Learn++ and simple recycled selection","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2468142602","doi":"https://doi.org/10.1109/eais.2016.7502504","mag":"2468142602"},"language":"en","primary_location":{"id":"doi:10.1109/eais.2016.7502504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2016.7502504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","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/A5006650156","display_name":"Frederico Damasceno Bortoloti","orcid":"https://orcid.org/0000-0003-4828-9109"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Frederico Damasceno Bortoloti","raw_affiliation_strings":["Department of Production, Federal University of Espirito Santo Vit\u00f3ria, Esp\u00edrito Santo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Production, Federal University of Espirito Santo Vit\u00f3ria, Esp\u00edrito Santo, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028089630","display_name":"Patrick Marques Ciarelli","orcid":"https://orcid.org/0000-0003-3177-4028"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Patrick Marques Ciarelli","raw_affiliation_strings":["Department of Industrial Technology, Federal University of Espirito Santo Vit\u00f3ria, Esp\u00edrito Santo, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Technology, Federal University of Espirito Santo Vit\u00f3ria, Esp\u00edrito Santo, Brazil","institution_ids":["https://openalex.org/I51235708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006650156"],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":0.445,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78500172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"138","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9937999844551086,"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":0.9937999844551086,"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":0.9898999929428101,"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/T10057","display_name":"Face and Expression Recognition","score":0.9865999817848206,"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/computer-science","display_name":"Computer science","score":0.7831488847732544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7421929240226746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6588131189346313},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6538909077644348},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6055730581283569},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5667843818664551},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5624874830245972},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5599789023399353},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4947366416454315},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4906829595565796},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4831547141075134},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.478861540555954},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45387545228004456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34867721796035767},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12153023481369019},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09394106268882751},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07405894994735718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831488847732544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7421929240226746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588131189346313},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6538909077644348},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6055730581283569},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5667843818664551},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5624874830245972},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5599789023399353},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4947366416454315},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4906829595565796},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4831547141075134},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.478861540555954},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45387545228004456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34867721796035767},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12153023481369019},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09394106268882751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07405894994735718},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais.2016.7502504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2016.7502504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1529046154","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1663973292","https://openalex.org/W1963743786","https://openalex.org/W1968969471","https://openalex.org/W1988790447","https://openalex.org/W2006671292","https://openalex.org/W2028063358","https://openalex.org/W2038791581","https://openalex.org/W2072026441","https://openalex.org/W2079545927","https://openalex.org/W2092682490","https://openalex.org/W2103753221","https://openalex.org/W2109205796","https://openalex.org/W2145376937","https://openalex.org/W2172425529","https://openalex.org/W2293126230","https://openalex.org/W3120740533","https://openalex.org/W4212863985","https://openalex.org/W6629510986","https://openalex.org/W6633774736"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W34092691","https://openalex.org/W2794908468","https://openalex.org/W2531570999","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W3004135598"],"abstract_inverted_index":{"In":[0,76],"many":[1],"real-world":[2],"tasks":[3],"a":[4,44],"lot":[5],"of":[6,23,82,128],"unlabeled":[7,34],"data":[8,37,138],"are":[9,27],"collected":[10],"over":[11],"time":[12],"and,":[13],"although":[14],"they":[15,26],"may":[16],"be":[17],"useful":[18,41],"to":[19,38,59,71,78,125],"improve":[20],"the":[21,48,73,80,101,142],"quality":[22],"classification":[24],"models,":[25],"usually":[28],"ignored.":[29],"Semi-supervised":[30],"learning":[31,53,93],"techniques":[32,102],"combine":[33],"and":[35,109],"labeled":[36],"capture":[39],"more":[40],"information":[42,58],"about":[43],"particular":[45],"task.":[46],"On":[47],"other":[49],"hand,":[50],"an":[51,60,90],"incremental":[52,91],"technique":[54],"can":[55,66],"incorporate":[56],"new":[57],"existing":[61],"model,":[62],"so":[63],"that":[64],"it":[65],"dynamically":[67],"adapt":[68],"its":[69],"structure":[70],"follow":[72],"environment":[74],"changes.":[75],"order":[77],"unify":[79],"characteristics":[81],"both":[83],"approaches,":[84],"in":[85],"this":[86],"paper":[87],"is":[88,98,145],"proposed":[89,143],"semi-supervised":[92],"method":[94,144],"called":[95],"SSLearn++,":[96],"which":[97],"based":[99],"on":[100],"Simple":[103],"Recycled":[104],"Selection":[105,123],"(SRS)":[106],"(semi-supervised":[107],"learning),":[108],"Learn++":[110],"(incremental":[111],"learning).":[112],"To":[113],"treat":[114],"multi-class":[115],"problems,":[116],"SRS":[117],"was":[118],"combined":[119],"with":[120],"Sequential":[121],"Forward":[122],"(SFS)":[124],"generate":[126],"cascades":[127],"binary":[129],"classifiers.":[130],"Experiments":[131],"were":[132],"conducted":[133],"using":[134],"publicly":[135],"available":[136],"benchmark":[137],"sets.":[139],"Results":[140],"show":[141],"promising.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
