{"id":"https://openalex.org/W3000291594","doi":"https://doi.org/10.1109/iccp48234.2019.8959632","title":"Efficient convolutional neural network for apparent age prediction","display_name":"Efficient convolutional neural network for apparent age prediction","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W3000291594","doi":"https://doi.org/10.1109/iccp48234.2019.8959632","mag":"3000291594"},"language":"en","primary_location":{"id":"doi:10.1109/iccp48234.2019.8959632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp48234.2019.8959632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5078756731","display_name":"C Miron","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Casian Miron","raw_affiliation_strings":["“Gheorghe Asachi” Technical University,Iasi,Romania","\"Gheorghe Asachi\" Technical University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"“Gheorghe Asachi” Technical University,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"\"Gheorghe Asachi\" Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024843075","display_name":"Vasile Manta","orcid":"https://orcid.org/0000-0002-5180-4151"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Vasile Manta","raw_affiliation_strings":["“Gheorghe Asachi” Technical University,Iasi,Romania","\"Gheorghe Asachi\" Technical University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"“Gheorghe Asachi” Technical University,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"\"Gheorghe Asachi\" Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052236177","display_name":"Radu Timofte","orcid":"https://orcid.org/0000-0002-1478-0402"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Timofte","raw_affiliation_strings":["“Gheorghe Asachi” Technical University,Iasi,Romania","\"Gheorghe Asachi\" Technical University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"“Gheorghe Asachi” Technical University,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"\"Gheorghe Asachi\" Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047080061","display_name":"Alexandru P\u0103s\u0103ric\u0103","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandru Pasarica","raw_affiliation_strings":["“Gheorghe Asachi” Technical University,Iasi,Romania","\"Gheorghe Asachi\" Technical University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"“Gheorghe Asachi” Technical University,Iasi,Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"\"Gheorghe Asachi\" Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112040190","display_name":"Radu-Ion Ciucu","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu-Ion Ciucu","raw_affiliation_strings":["University POLITEHNICA of Bucharest,Bucharest,Romania","University POLITEHNICA of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University POLITEHNICA of Bucharest,Bucharest,Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"University POLITEHNICA of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078756731"],"corresponding_institution_ids":["https://openalex.org/I4210108695"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62197304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9879999756813049,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9829000234603882,"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":0.829052209854126},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7990827560424805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787684202194214},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.6629821062088013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5620290637016296},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5519949793815613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5287368297576904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45068493485450745},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44693195819854736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33927562832832336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32678651809692383}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.829052209854126},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7990827560424805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787684202194214},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.6629821062088013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5620290637016296},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5519949793815613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5287368297576904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45068493485450745},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44693195819854736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33927562832832336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32678651809692383},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp48234.2019.8959632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp48234.2019.8959632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1849007038","https://openalex.org/W2097117768","https://openalex.org/W2233737587","https://openalex.org/W2239239723","https://openalex.org/W2239890062","https://openalex.org/W2248200858","https://openalex.org/W2249960609","https://openalex.org/W2440214111","https://openalex.org/W2510725918","https://openalex.org/W2725329413","https://openalex.org/W2807744618","https://openalex.org/W2889962106","https://openalex.org/W2962685937","https://openalex.org/W2972367691","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6754710829"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W97789383","https://openalex.org/W2727156679","https://openalex.org/W3087516072","https://openalex.org/W4289406402","https://openalex.org/W2067997904","https://openalex.org/W2364071303","https://openalex.org/W1483053255","https://openalex.org/W2896097814","https://openalex.org/W2964954556"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"efficient":[4],"convolutional":[5],"neural":[6],"network":[7],"architecture":[8,29],"for":[9,76],"apparent":[10],"age":[11],"estimation":[12,91],"from":[13],"single":[14],"face":[15],"image":[16],"capable":[17],"of":[18,24,31,115],"top":[19],"performance":[20],"without":[21],"the":[22,48,65,95],"use":[23,80],"a":[25,52],"pretraining":[26,81],"stage.":[27],"The":[28,87],"consists":[30],"9":[32],"convolution":[33],"layers":[34,39],"and":[35,40,82,98,110,119],"2":[36],"max":[37],"pool":[38],"requires":[41],"only":[42],"79k":[43],"parameters.":[44],"We":[45],"also":[46],"improve":[47],"results":[49,73],"by":[50,105],"applying":[51],"weighted":[53],"class":[54],"distribution":[55],"which":[56],"assures":[57],"that":[58,79,84],"overwhelmingly":[59],"represented":[60],"classes":[61],"do":[62,85],"not":[63],"skew":[64],"prediction":[66],"results.":[67],"These":[68],"are":[69],"compared":[70],"to":[71,94,99],"other":[72,125],"in":[74],"literature":[75],"both":[77,108],"methods":[78,101],"those":[83],"not.":[86],"proposed":[88],"method":[89],"achieves":[90],"errors":[92],"comparable":[93],"human":[96],"reference":[97],"existing":[100],"while":[102],"being":[103],"characterized":[104],"efficiency":[106],"at":[107],"training":[109,122],"testing,":[111],"it":[112],"employs":[113],"orders":[114],"magnitude":[116],"fewer":[117],"parameters":[118],"much":[120],"less":[121],"time":[123],"than":[124],"state-of-the-art":[126],"methods.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"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"}