{"id":"https://openalex.org/W2752887223","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023302","title":"Deep convolutional networks for human sketches by means of the evolutionary deep learning","display_name":"Deep convolutional networks for human sketches by means of the evolutionary deep learning","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2752887223","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023302","mag":"2752887223"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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/A5025703189","display_name":"Saya Fujino","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Saya Fujino","raw_affiliation_strings":["College of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022645695","display_name":"Naoki Mori","orcid":"https://orcid.org/0000-0002-0707-3443"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Mori","raw_affiliation_strings":["Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079650694","display_name":"Keinosuke Matsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keinosuke Matsumoto","raw_affiliation_strings":["Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025703189"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.9102,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.83923215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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/T11448","display_name":"Face recognition and analysis","score":0.9911999702453613,"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/T10057","display_name":"Face and Expression Recognition","score":0.9876000285148621,"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":0.801990807056427},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7986823320388794},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7664765119552612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.746938943862915},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5852275490760803},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5749579071998596},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5138042569160461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41760265827178955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4130139946937561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38520482182502747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08424285054206848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801990807056427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7986823320388794},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7664765119552612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.746938943862915},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5852275490760803},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5749579071998596},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5138042569160461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41760265827178955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4130139946937561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38520482182502747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08424285054206848},{"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/ifsa-scis.2017.8023302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W35527955","https://openalex.org/W102487131","https://openalex.org/W1972420097","https://openalex.org/W2095705004","https://openalex.org/W2163605009","https://openalex.org/W2254028986","https://openalex.org/W2255259862","https://openalex.org/W2555942410","https://openalex.org/W3023540311","https://openalex.org/W6601425427","https://openalex.org/W6674330103","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recognition":[0],"of":[1,6,81],"human":[2],"sketches":[3],"is":[4,34,90],"one":[5],"the":[7,32,39,82,87],"most":[8],"interesting":[9],"and":[10],"difficult":[11],"issues":[12],"in":[13,70],"image":[14,28],"recognition.":[15],"Recently,":[16],"deep":[17,62,75],"convolutional":[18],"neural":[19],"networks":[20],"(DCNNs)":[21],"have":[22],"been":[23],"successfully":[24],"applied":[25],"to":[26,44,72],"various":[27],"recognition":[29],"tasks.":[30],"Though":[31],"DCNN":[33],"a":[35,49,57,67,93],"very":[36],"powerful":[37],"method,":[38],"high":[40],"computational":[41],"effort":[42],"required":[43],"tune":[45],"its":[46],"hyperparameters":[47],"represents":[48],"critical":[50],"problem.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel":[58],"method":[59,89],"called":[60],"evolutionary":[61],"learning":[63,76],"(evoDL)":[64],"that":[65],"uses":[66],"genetic":[68],"algorithm":[69],"order":[71],"obtain":[73],"effective":[74],"networks.":[77],"The":[78],"generalization":[79],"ability":[80],"network":[83],"structure":[84],"obtained":[85],"using":[86],"proposed":[88],"confirmed":[91],"by":[92],"computer":[94],"experiment.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
