{"id":"https://openalex.org/W4360605075","doi":"https://doi.org/10.1109/icaiic57133.2023.10067115","title":"ConvELM: Exploiting Extreme Learning Machine on Convolutional Neural Network for Age Estimation","display_name":"ConvELM: Exploiting Extreme Learning Machine on Convolutional Neural Network for Age Estimation","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605075","doi":"https://doi.org/10.1109/icaiic57133.2023.10067115"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10067115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5015240894","display_name":"Ismar Apuandi","orcid":null},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Ismar Apuandi","raw_affiliation_strings":["School of Computing, Telkom University,Bandung,Indonesia","School of Computing, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008667081","display_name":"Ema Rachmawati","orcid":"https://orcid.org/0000-0003-3693-7228"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ema Rachmawati","raw_affiliation_strings":["School of Computing, Telkom University,Bandung,Indonesia","School of Computing, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032190881","display_name":"Gamma Kosala","orcid":"https://orcid.org/0000-0003-0253-042X"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Gamma Kosala","raw_affiliation_strings":["School of Computing, Telkom University,Bandung,Indonesia","School of Computing, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Telkom University,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"School of Computing, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015240894"],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51624726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"407","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.991100013256073,"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":0.991100013256073,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9908000230789185,"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/T11448","display_name":"Face recognition and analysis","score":0.9668999910354614,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.846412181854248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8206851482391357},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7899670600891113},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.7892955541610718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711616516113281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5508324503898621},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5333219766616821},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5268396735191345},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5262036919593811},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5070393085479736},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4957965314388275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4218369722366333},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41106146574020386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.086235910654068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07304483652114868}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.846412181854248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206851482391357},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7899670600891113},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7892955541610718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711616516113281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5508324503898621},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5333219766616821},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5268396735191345},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5262036919593811},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5070393085479736},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4957965314388275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4218369722366333},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41106146574020386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.086235910654068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07304483652114868},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10067115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1520795727","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2052912973","https://openalex.org/W2105026179","https://openalex.org/W2134603844","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2592232824","https://openalex.org/W2769937543","https://openalex.org/W2807323414","https://openalex.org/W2888177567","https://openalex.org/W2963839617","https://openalex.org/W2997994114","https://openalex.org/W2999431211","https://openalex.org/W3093577383","https://openalex.org/W3118860867","https://openalex.org/W3140854437","https://openalex.org/W3154464629","https://openalex.org/W3162366422","https://openalex.org/W3191363787","https://openalex.org/W3194451577","https://openalex.org/W3205754902","https://openalex.org/W6631190155","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Age":[0],"estimation":[1,33,60,152],"is":[2,26,145],"a":[3,15,42,81,110],"fascinating":[4],"field":[5],"of":[6,17,66,135],"study":[7],"because":[8],"its":[9],"implementation":[10],"can":[11,139],"be":[12],"utilized":[13,28],"in":[14,93],"variety":[16],"contexts.":[18],"Currently,":[19],"the":[20,31,48,64,67,70,74,89,97,100,122,127,132],"Convolutional":[21],"Neural":[22],"Network":[23],"(CNN)":[24],"technique":[25],"frequently":[27],"to":[29],"solve":[30],"age":[32,59,141,151],"problem.":[34],"However,":[35],"this":[36,94],"method":[37,56,72,102,149],"has":[38],"one":[39],"disadvantage,":[40],"namely":[41],"high":[43],"computational":[44],"cost":[45],"that":[46,144],"lengthens":[47],"training":[49,118],"process.":[50],"This":[51],"paper":[52],"proposes":[53],"an":[54],"alternative":[55],"for":[57,150],"resolving":[58],"issues.":[61],"To":[62],"overcome":[63],"shortcomings":[65],"backpropagation":[68,128],"method,":[69],"proposed":[71,101,133],"employs":[73],"Extreme":[75],"Learning":[76],"Machine":[77],"(ELM)":[78],"algorithm":[79],"as":[80,109],"fully-connected":[82,111,123],"CNN":[83,90,114,136],"layer.":[84],"ResNet50":[85],"and":[86,105,137],"VGG16":[87],"are":[88],"architectures":[91],"employed":[92],"study.":[95],"Using":[96,107],"UTKFace":[98],"dataset,":[99],"was":[103],"trained":[104,125],"evaluated.":[106],"ELM":[108,138],"layer":[112,124],"on":[113],"provided":[115],"significantly":[116],"faster":[117],"time":[119],"performance":[120,143],"than":[121],"with":[126,147],"technique.":[129],"In":[130],"addition,":[131],"combination":[134],"provide":[140],"classification":[142],"competitive":[146],"state-of-the-art":[148],"cases.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
