{"id":"https://openalex.org/W2785692273","doi":"https://doi.org/10.1109/la-cci.2017.8285702","title":"Extreme learning machine autoencoder for data augmentation","display_name":"Extreme learning machine autoencoder for data augmentation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785692273","doi":"https://doi.org/10.1109/la-cci.2017.8285702","mag":"2785692273"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2017.8285702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5113964002","display_name":"Janderson Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Janderson Ferreira","raw_affiliation_strings":["Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045086920","display_name":"Milla S. A. Ferro","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Milla Ferro","raw_affiliation_strings":["Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059739611","display_name":"Bruno Fernandes","orcid":"https://orcid.org/0000-0002-6001-3925"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Fernandes","raw_affiliation_strings":["Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109900140","display_name":"M\u00eauser Valen\u00e7a","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Meuser Valenca","raw_affiliation_strings":["Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028876161","display_name":"Carmelo J. A. Bastos-Filho","orcid":"https://orcid.org/0000-0002-0924-5341"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carmelo Bastos-Filho","raw_affiliation_strings":["Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073057205","display_name":"Pablo Barros","orcid":"https://orcid.org/0000-0002-6517-682X"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pablo Barros","raw_affiliation_strings":["Department of Informatics, University of Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113964002"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":null,"apc_paid":null,"fwci":1.1701,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84873467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940000176429749,"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/autoencoder","display_name":"Autoencoder","score":0.9570763111114502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773221135139465},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7041724324226379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6892420649528503},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6816771030426025},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6697325706481934},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6092190742492676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5883265733718872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5328336954116821},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4789612591266632},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.43688246607780457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4084189236164093},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4047774076461792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3207275867462158}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9570763111114502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773221135139465},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7041724324226379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892420649528503},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6816771030426025},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6697325706481934},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6092190742492676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5883265733718872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5328336954116821},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4789612591266632},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.43688246607780457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4084189236164093},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4047774076461792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3207275867462158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2017.8285702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.699999988079071,"display_name":"Gender equality"}],"awards":[],"funders":[{"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":20,"referenced_works":["https://openalex.org/W132310428","https://openalex.org/W1136074057","https://openalex.org/W1631012836","https://openalex.org/W1950888772","https://openalex.org/W2061065224","https://openalex.org/W2089666169","https://openalex.org/W2106115875","https://openalex.org/W2111072639","https://openalex.org/W2119821739","https://openalex.org/W2136132422","https://openalex.org/W2163605009","https://openalex.org/W2550222318","https://openalex.org/W2560473673","https://openalex.org/W2561355506","https://openalex.org/W2571621906","https://openalex.org/W2613956936","https://openalex.org/W2963553763","https://openalex.org/W2994602700","https://openalex.org/W4239510810","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2067443264","https://openalex.org/W4297051394","https://openalex.org/W2567582497","https://openalex.org/W2897701482","https://openalex.org/W4321789545"],"abstract_inverted_index":{"Some":[0],"databases":[1],"used":[2],"in":[3,93,116,157],"computer":[4],"vision":[5],"problems":[6],"have":[7],"a":[8,54,94],"few":[9],"number":[10],"of":[11,46,112,159],"data":[12,33,41,70,86,114,144],"points.":[13],"It":[14],"makes":[15],"harder":[16],"to":[17,20,28,38,42,68,153],"the":[18,44,47,74,100,110,113,117,160],"classifier":[19],"increase":[21],"its":[22],"generalization":[23],"capability.":[24],"One":[25],"strategy":[26],"applied":[27],"solve":[29],"this":[30,50],"issue":[31],"is":[32,79,139],"augmentation.":[34,71],"This":[35],"solution":[36],"aims":[37],"generate":[39],"more":[40,80],"improve":[43],"performance":[45,118],"classifier.":[48],"In":[49],"paper,":[51],"we":[52,108],"propose":[53],"model":[55],"that":[56,136],"uses":[57],"images":[58],"produced":[59],"by":[60],"an":[61,140],"Extreme":[62],"Learning":[63],"Machine":[64],"Autoencoder":[65],"(ELM-":[66],"AE)":[67],"make":[69],"We":[72,89],"selected":[73],"autoencoder":[75],"approach":[76,138],"since":[77],"it":[78],"straightforward":[81],"and":[82,107,127],"efficient":[83],"than":[84],"other":[85,154],"augmentation":[87,115,145],"strategies.":[88],"evaluate":[90],"our":[91,137],"proposal":[92],"facial":[95],"expression":[96],"recognition":[97],"problem":[98],"using":[99],"Japanese":[101],"Female":[102],"Facial":[103],"Expression":[104],"(JAFFE)":[105],"database,":[106],"assess":[109],"impact":[111],"considering":[119],"K-Nearest":[120],"Neighbors":[121],"(KNN),":[122],"Support":[123],"Vector":[124],"Machines":[125],"(SVM)":[126],"Convolutional":[128],"Neural":[129],"Network":[130],"(CNN).":[131],"The":[132],"obtained":[133],"results":[134,150],"show":[135],"appropriate":[141],"alternative":[142],"for":[143],"tasks,":[146],"also":[147],"reaching":[148],"better":[149],"when":[151],"compared":[152],"common":[155],"strategies":[156],"most":[158],"cases.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}