{"id":"https://openalex.org/W4403212610","doi":"https://doi.org/10.1109/clei64178.2024.10700478","title":"Transfer Learning and Fine-Tuning for Facial Expression Recognition with Class Balancing","display_name":"Transfer Learning and Fine-Tuning for Facial Expression Recognition with Class Balancing","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4403212610","doi":"https://doi.org/10.1109/clei64178.2024.10700478"},"language":"en","primary_location":{"id":"doi:10.1109/clei64178.2024.10700478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei64178.2024.10700478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 L Latin American Computer Conference (CLEI)","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/A5103434223","display_name":"Josef R\u016f\u017ei\u010dka","orcid":null},"institutions":[{"id":"https://openalex.org/I31944674","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51","country_code":"CR","type":"education","lineage":["https://openalex.org/I31944674"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Josef Ruzicka","raw_affiliation_strings":["School of Computer Science and Informatics, University of Costa Rica,San Jos&#x00E9;,Costa Rica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, University of Costa Rica,San Jos&#x00E9;,Costa Rica","institution_ids":["https://openalex.org/I31944674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031209768","display_name":"Adri\u00e1n Lara","orcid":"https://orcid.org/0000-0001-5130-6470"},"institutions":[{"id":"https://openalex.org/I31944674","display_name":"Universidad de Costa Rica","ror":"https://ror.org/02yzgww51","country_code":"CR","type":"education","lineage":["https://openalex.org/I31944674"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Adrian Lara","raw_affiliation_strings":["School of Computer Science and Informatics, University of Costa Rica,San Jos&#x00E9;,Costa Rica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, University of Costa Rica,San Jos&#x00E9;,Costa Rica","institution_ids":["https://openalex.org/I31944674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70280376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.819100022315979,"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/T10057","display_name":"Face and Expression Recognition","score":0.819100022315979,"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":0.6804202795028687},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5356753468513489},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5329911112785339},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.48663124442100525},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4547001123428345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4473883807659149},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4327569305896759},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3949224650859833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30737489461898804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804202795028687},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5356753468513489},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5329911112785339},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.48663124442100525},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4547001123428345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4473883807659149},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4327569305896759},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3949224650859833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30737489461898804}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/clei64178.2024.10700478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei64178.2024.10700478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 L Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"},{"id":"pmh:oai:kerwa.ucr.ac.cr:10669/101862","is_oa":false,"landing_page_url":"https://hdl.handle.net/10669/101862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400069","display_name":"Investigative News in Education (Universidad de Costa Rica)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I198243066","host_organization_name":"Universidad Nacional","host_organization_lineage":["https://openalex.org/I198243066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024 L Latin American Computer Conference. Institute of Electrical and Electronics Engineers","raw_type":"comunicaci\u00f3n de congreso"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2148143831","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2963163009","https://openalex.org/W3172246645","https://openalex.org/W4224466345","https://openalex.org/W4296685329","https://openalex.org/W4307135222","https://openalex.org/W4321599321","https://openalex.org/W4362681861","https://openalex.org/W4379875147","https://openalex.org/W4386920837","https://openalex.org/W4387194059","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W3027190010"],"abstract_inverted_index":{"Facial":[0],"expression":[1,86],"recognition":[2,87],"benefits":[3],"from":[4],"deep":[5],"learning":[6,34,92],"models":[7,18,106,140],"because":[8],"of":[9,96,120],"their":[10],"ability":[11],"to":[12,26,49,63,83,136],"automatically":[13],"extract":[14],"features.":[15],"However,":[16],"these":[17,56,73],"face":[19,64],"three":[20],"important":[21],"challenges:":[22],"first,":[23],"training":[24,103],"tends":[25],"take":[27],"longer":[28],"times":[29],"than":[30],"with":[31,93,118,133],"traditional":[32],"machine":[33],"models.":[35,122],"Second,":[36],"obtaining":[37],"and":[38,80,149],"labeling":[39],"enough":[40],"data":[41,135],"samples":[42],"can":[43],"become":[44],"a":[45,84,97,115],"heavy":[46],"burden":[47],"due":[48],"the":[50,94,102,121,139],"feature":[51],"complexity":[52],"usually":[53],"involved":[54],"in":[55,107],"problems.":[57],"Third,":[58],"it":[59],"is":[60],"also":[61],"common":[62],"class":[65],"imbalance":[66],"challenges.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,113],"address":[72],"challenges":[74],"by":[75],"implementing":[76],"transfer":[77,91],"learning,":[78],"oversampling":[79],"fine":[81],"tuning":[82],"facial":[85],"use":[88,95],"case.":[89],"Combining":[90],"GPU":[98],"helped":[99],"us":[100],"complete":[101],"for":[104,126],"our":[105],"just":[108],"about":[109],"one":[110,119],"hour.":[111],"Furthermore,":[112],"achieved":[114],"65.75%":[116],"accuracy":[117],"We":[123],"provide":[124],"measurements":[125],"metrics":[127],"that":[128,138],"are":[129,141],"helpful":[130],"when":[131],"dealing":[132],"imbalanced":[134],"assess":[137],"not":[142],"biased":[143],"like":[144],"precision,":[145],"recall,":[146],"F1":[147],"score":[148],"loss.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
