{"id":"https://openalex.org/W2753112373","doi":"https://doi.org/10.1145/3093241.3093277","title":"Age Classification Using an Optimized CNN Architecture","display_name":"Age Classification Using an Optimized CNN Architecture","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2753112373","doi":"https://doi.org/10.1145/3093241.3093277","mag":"2753112373"},"language":"en","primary_location":{"id":"doi:10.1145/3093241.3093277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","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/A5102980396","display_name":"Murat Aydo\u011fdu","orcid":"https://orcid.org/0000-0002-4788-4830"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M. Fatih Aydogdu","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050989522","display_name":"M. Fatih Demirci","orcid":"https://orcid.org/0000-0001-7002-7506"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Fatih Demirci","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102980396"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.6461,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78810906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T10828","display_name":"Biometric Identification and Security","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9954000115394592,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8545320630073547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8229051828384399},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.641579806804657},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6214120984077454},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6022439002990723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927768349647522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.518918514251709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42067721486091614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3843555152416229}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8545320630073547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229051828384399},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.641579806804657},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6214120984077454},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6022439002990723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927768349647522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.518918514251709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42067721486091614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3843555152416229},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3093241.3093277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-article"},{"id":"pmh:39b5365a-82a7-4ad7-8f14-930a2335b58c","is_oa":false,"landing_page_url":"https://avesis.aybu.edu.tr/publication/details/39b5365a-82a7-4ad7-8f14-930a2335b58c/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055213","display_name":"AYBU AVESIS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1487583988","https://openalex.org/W1849277567","https://openalex.org/W1905153633","https://openalex.org/W2056783896","https://openalex.org/W2061759159","https://openalex.org/W2096294213","https://openalex.org/W2102331633","https://openalex.org/W2102605133","https://openalex.org/W2105026179","https://openalex.org/W2106488920","https://openalex.org/W2108187942","https://openalex.org/W2117539524","https://openalex.org/W2118664399","https://openalex.org/W2118755929","https://openalex.org/W2121939926","https://openalex.org/W2124303296","https://openalex.org/W2129000824","https://openalex.org/W2160367227","https://openalex.org/W2163352848","https://openalex.org/W2163626514","https://openalex.org/W2164598857","https://openalex.org/W2170854557","https://openalex.org/W2194775991","https://openalex.org/W2559655401","https://openalex.org/W2599734722","https://openalex.org/W2953106684","https://openalex.org/W3143763605"],"related_works":["https://openalex.org/W2726121760","https://openalex.org/W2912288872","https://openalex.org/W3153891452","https://openalex.org/W1982635469","https://openalex.org/W2732542196","https://openalex.org/W2760085659","https://openalex.org/W4207027803","https://openalex.org/W3086857729","https://openalex.org/W564581980","https://openalex.org/W2799614062"],"abstract_inverted_index":{"With":[0],"growing":[1],"data":[2],"size":[3],"in":[4],"multimedia":[5],"systems,":[6],"the":[7,19,43,51,56,73,76,99,117],"need":[8],"for":[9,27,42],"successful":[10],"image":[11],"classification":[12,45,78],"and":[13,53,87,96,106],"retrieval":[14],"systems":[15,23],"becomes":[16],"vital.":[17],"Nevertheless,":[18],"performance":[20],"of":[21,55,65,75,90,124,135],"such":[22],"is":[24,111],"still":[25],"limited":[26],"real-world":[28],"applications.":[29],"In":[30,47],"this":[31],"paper,":[32],"we":[33],"propose":[34],"an":[35],"optimized":[36],"Convolutional":[37],"Neural":[38],"Network":[39],"(CNN)":[40],"architecture":[41,101],"age":[44,77],"problem.":[46],"order":[48],"to":[49,82,113,116],"justify":[50],"structure":[52],"depth":[54],"proposed":[57],"CNN-based":[58,119],"framework,":[59],"comprehensive":[60],"experiments":[61],"on":[62,72,130],"a":[63,131],"number":[64,123],"different":[66,122],"CNN":[67,100],"architectures":[68,120],"are":[69],"conducted.":[70],"Based":[71],"fitness":[74],"results":[79],"with":[80,121],"respect":[81],"success-error":[83],"ratios,":[84],"training":[85],"times,":[86],"standard":[88],"deviations":[89],"success":[91],"rates;":[92],"using":[93],"exact,":[94],"top-3":[95],"1-off":[97],"criterion,":[98],"involving":[102],"4":[103],"convolutional":[104],"layers":[105,110],"2":[107],"fully":[108],"connected":[109],"found":[112],"be":[114],"superior":[115],"other":[118],"layers.":[125],"We":[126],"evaluate":[127],"our":[128],"method":[129],"face":[132],"database":[133],"consisting":[134],"more":[136],"than":[137],"55,000":[138],"images.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
