{"id":"https://openalex.org/W4413453817","doi":"https://doi.org/10.1016/j.neucom.2026.134162","title":"Robust emotion recognition via bi-level self-supervised continual learning","display_name":"Robust emotion recognition via bi-level self-supervised continual learning","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W4413453817","doi":"https://doi.org/10.1016/j.neucom.2026.134162"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.134162","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.134162","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neucom.2026.134162","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017794990","display_name":"Adnan Ahmad","orcid":"https://orcid.org/0000-0002-5179-3261"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Adnan Ahmad","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063750580","display_name":"Bahareh Nakisa","orcid":"https://orcid.org/0000-0003-2211-2997"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bahareh Nakisa","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085514504","display_name":"Mohammad Naim Rastgoo","orcid":"https://orcid.org/0000-0001-8283-3310"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Naim Rastgoo","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017794990"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":{"value":2470,"currency":"USD","value_usd":2470},"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0035241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"696","issue":null,"first_page":"134162","last_page":"134162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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/T10860","display_name":"Speech and Audio Processing","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6082484722137451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4640551805496216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45146915316581726},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.43601924180984497},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34505894780158997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32156944274902344}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6082484722137451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4640551805496216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45146915316581726},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.43601924180984497},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34505894780158997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32156944274902344}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.neucom.2026.134162","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.134162","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5403117","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.5403117","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"doi:10.26187/deakin.32796012","is_oa":true,"landing_page_url":"https://doi.org/10.26187/deakin.32796012","pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1016/j.neucom.2026.134162","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.134162","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2032254851","https://openalex.org/W2063347383","https://openalex.org/W2411256484","https://openalex.org/W2530704949","https://openalex.org/W2560647685","https://openalex.org/W2730106296","https://openalex.org/W2731964405","https://openalex.org/W2761514455","https://openalex.org/W2762323924","https://openalex.org/W2890014048","https://openalex.org/W2910789993","https://openalex.org/W2926366943","https://openalex.org/W2954948187","https://openalex.org/W2982126608","https://openalex.org/W3005055041","https://openalex.org/W3005680577","https://openalex.org/W3133817364","https://openalex.org/W3166972962","https://openalex.org/W3175715598","https://openalex.org/W3197261948","https://openalex.org/W3207404093","https://openalex.org/W3212409611","https://openalex.org/W4220772234","https://openalex.org/W4223523352","https://openalex.org/W4225127995","https://openalex.org/W4225777901","https://openalex.org/W4285787415","https://openalex.org/W4287812705","https://openalex.org/W4293170247","https://openalex.org/W4297805400","https://openalex.org/W4313452523","https://openalex.org/W4320234863","https://openalex.org/W4322706756","https://openalex.org/W4361994982","https://openalex.org/W4362496488","https://openalex.org/W4385805188","https://openalex.org/W4386800155","https://openalex.org/W4390992224","https://openalex.org/W4394002599","https://openalex.org/W4395449905","https://openalex.org/W6776700526","https://openalex.org/W6810263534"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Emotion":[0],"detection":[1],"through":[2],"physiological":[3,23,103],"signals":[4],"has":[5],"become":[6],"an":[7,15],"essential":[8],"aspect":[9],"of":[10,35,121,139],"affective":[11],"computing":[12],"and":[13,29,42,60,90,129,136],"provides":[14],"objective":[16],"way":[17],"to":[18,47,93,155,157],"capture":[19],"human":[20],"emotions.":[21],"However,":[22],"data":[24,56,104,141,159],"characterized":[25],"by":[26],"cross-subject":[27],"variability":[28],"noisy":[30],"labels":[31],"hinder":[32],"the":[33,87,122,152],"performance":[34],"emotion":[36,107,117],"recognition":[37],"models.":[38],"Existing":[39],"domain":[40],"adaptation":[41,127],"continual":[43,72],"learning":[44,73,135],"methods":[45],"struggle":[46],"address":[48],"these":[49,64],"issues,":[50],"especially":[51],"under":[52],"realistic":[53],"conditions":[54],"where":[55],"is":[57],"continuously":[58],"streamed":[59],"unlabeled.":[61],"To":[62],"overcome":[63],"limitations,":[65],"we":[66],"introduce":[67],"a":[68,78,125],"novel":[69],"bi-level":[70,83],"self-supervised":[71],"framework,":[74,123],"SSOCL,":[75],"based":[76],"on":[77,145],"dynamic":[79,88],"memory":[80],"buffer.":[81],"This":[82],"architecture":[84],"iteratively":[85],"refines":[86],"buffer":[89],"pseudo-label":[91],"assignments":[92],"effectively":[94],"retain":[95],"representative":[96],"samples,":[97],"enabling":[98],"generalization":[99,164],"from":[100],"continuous,":[101],"unlabeled":[102],"streams":[105,160],"for":[106,115],"recognition.":[108],"Then":[109],"assigned":[110],"pseudo-labels":[111],"are":[112],"subsequently":[113],"leveraged":[114],"accurate":[116],"prediction.":[118],"Key":[119],"components":[120],"including":[124],"fast":[126],"module":[128],"clusters":[130],"mapping":[131],"module,":[132],"enable":[133],"robust":[134],"effective":[137],"handling":[138],"evolving":[140],"streams.":[142],"Experimental":[143],"validation":[144],"two":[146],"mainstream":[147],"electroencephalogram":[148],"(EEG)":[149],"datasets":[150],"demonstrates":[151],"framework\u2019s":[153],"ability":[154],"adapt":[156],"continuous":[158],"while":[161],"maintaining":[162],"strong":[163],"across":[165],"subjects,":[166],"outperforming":[167],"existing":[168],"approaches.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
