{"id":"https://openalex.org/W3192497353","doi":"https://doi.org/10.1109/cec45853.2021.9504912","title":"Many Layer Transfer Learning Genetic Algorithm (MLTLGA): a New Evolutionary Transfer Learning Approach Applied To Pneumonia Classification","display_name":"Many Layer Transfer Learning Genetic Algorithm (MLTLGA): a New Evolutionary Transfer Learning Approach Applied To Pneumonia Classification","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192497353","doi":"https://doi.org/10.1109/cec45853.2021.9504912","mag":"3192497353"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5051557377","display_name":"Raphael de Lima Mendes","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Raphael de Lima Mendes","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103993183","display_name":"Alexandre Henrick da Silva Alves","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Henrick da Silva Alves","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087621082","display_name":"Matheus de Souza Gomes","orcid":"https://orcid.org/0000-0001-7352-3089"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus de Souza Gomes","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Institute of Biotechnology (IBTEC),Minas Gerais,Brazil","Institute of Biotechnology (IBTEC), Federal University of Uberlandia (UFU), Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Institute of Biotechnology (IBTEC),Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Institute of Biotechnology (IBTEC), Federal University of Uberlandia (UFU), Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078367813","display_name":"Pedro Luiz Lima Bertarini","orcid":"https://orcid.org/0000-0003-1816-564X"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Luiz Lima Bertarini","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Electrical Engineering (FEELT),Minas Gerais,Brazil","Faculty of Electrical Engineering (FEELT), Federal University of Uberlandia (UFU), Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Electrical Engineering (FEELT),Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Electrical Engineering (FEELT), Federal University of Uberlandia (UFU), Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008274219","display_name":"Laurence Rodrigues do Amaral","orcid":"https://orcid.org/0000-0003-4681-5451"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Laurence Rodrigues do Amaral","raw_affiliation_strings":["Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Uberlandia (UFU),Faculty of Computation (FACOM),Minas Gerais,Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculty of Computation (FACOM), Federal University of Uberlandia (UFU), Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051557377"],"corresponding_institution_ids":["https://openalex.org/I80850581"],"apc_list":null,"apc_paid":null,"fwci":1.2371,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79219462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2476","last_page":"2482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8094843029975891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518849968910217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7085961103439331},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6587775349617004},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.611854076385498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.600735604763031},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5833690762519836},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5691457986831665},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45459866523742676},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43352025747299194},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4254516065120697}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8094843029975891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518849968910217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7085961103439331},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6587775349617004},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.611854076385498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.600735604763031},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5833690762519836},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5691457986831665},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45459866523742676},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43352025747299194},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4254516065120697}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308239","display_name":"EMI","ror":"https://ror.org/01qstkr73"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1499536210","https://openalex.org/W1538131130","https://openalex.org/W1557784766","https://openalex.org/W1686810756","https://openalex.org/W1893701654","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2343061342","https://openalex.org/W2583761661","https://openalex.org/W2788633781","https://openalex.org/W2904250082","https://openalex.org/W2970971581","https://openalex.org/W2987554569","https://openalex.org/W3024389181","https://openalex.org/W3083123991","https://openalex.org/W4236136936","https://openalex.org/W4250503569","https://openalex.org/W4255421341","https://openalex.org/W4295312788","https://openalex.org/W6632100814","https://openalex.org/W6633233455","https://openalex.org/W6637373629","https://openalex.org/W6732467815","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2787993192","https://openalex.org/W4282827391","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W3128025644","https://openalex.org/W4386828785","https://openalex.org/W2355048207","https://openalex.org/W3165580226"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"are":[4],"considered":[5],"the":[6,45,58,77,117,121,146,168],"state-of-the-art":[7],"in":[8,18,26,39,145],"computer":[9],"vision":[10],"tasks,":[11],"being":[12],"able":[13],"to":[14,70,75,88,115,125],"surpass":[15],"human":[16],"performance":[17,140],"certain":[19],"applications.":[20],"The":[21,136,164],"use":[22,59],"of":[23,34,44,60,68,120,129],"this":[24,99],"technology":[25],"medical":[27],"applications":[28,158],"for":[29,157],"automated":[30],"or":[31],"aided":[32],"diagnosis":[33],"diseases":[35],"is":[36,85,113,171],"promising,":[37],"especially":[38],"radiotherapy-":[40],"based":[41],"images.":[42,56,135],"One":[43],"most":[46],"deadly":[47],"diseases,":[48],"Pneumonia,":[49],"can":[50],"be":[51],"diagnosed":[52],"from":[53,80,91,132],"chest":[54,133],"x-ray":[55,134],"However,":[57],"Deep":[61],"Learning":[62,109],"relies":[63],"on":[64,94,161],"a":[65,101,127,154],"huge":[66],"amount":[67],"data":[69],"build":[71,126],"models.":[72],"In":[73,98],"order":[74],"leverage":[76],"transferable":[78],"knowledge":[79],"neural":[81],"networks,":[82],"transfer":[83,150,182],"learning":[84,151],"usually":[86],"used":[87],"create":[89],"models":[90],"pre-trained":[92],"networks":[93],"different":[95],"source":[96],"datasets.":[97],"paper,":[100],"novel":[102],"genetic":[103],"algorithm":[104],"(GA),":[105],"Many":[106],"Layer":[107],"Transfer":[108,162],"Genetic":[110,143],"Algorithm":[111],"(MLTLGA),":[112],"proposed":[114,169],"select":[116],"trainable":[118],"layers":[119],"InceptionV3":[122],"CNN":[123],"architecture":[124],"classifier":[128],"Pneumonia":[130],"images":[131],"MLTLGA":[137],"shows":[138],"better":[139],"than":[141,177],"other":[142],"Algorithms":[144],"literature":[147],"and":[148,181],"conventional":[149],"methods,":[152],"providing":[153],"promising":[155],"framework":[156],"that":[159,167],"rely":[160],"Learning.":[163],"experiments":[165],"show":[166],"method":[170],"at":[172],"least":[173],"2%":[174],"more":[175,184],"accurate":[176],"similar":[178],"evolutionary":[179],"approaches":[180],"learning,":[183],"specifically,":[185],"last":[186],"layer":[187],"training.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}