{"id":"https://openalex.org/W7131437467","doi":"https://doi.org/10.1109/tcyb.2026.3665442","title":"EEG Emotion Recognition With Uncertainty-Aware Contrastive Learning and Frequency-Aware Self-Attention","display_name":"EEG Emotion Recognition With Uncertainty-Aware Contrastive Learning and Frequency-Aware Self-Attention","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131437467","doi":"https://doi.org/10.1109/tcyb.2026.3665442","pmid":"https://pubmed.ncbi.nlm.nih.gov/41740097"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2026.3665442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3665442","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xu Xu","orcid":"https://orcid.org/0000-0002-3934-9096"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3934-9096","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126824335","display_name":"Junxin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Chen","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-4745-8361","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126790961","display_name":"Qiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang He","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1820-6141","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072819425","display_name":"Yongfei Wu","orcid":"https://orcid.org/0000-0002-5010-2561"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfei Wu","raw_affiliation_strings":["College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5010-2561","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121947849","display_name":"Yicong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yicong Zhou","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-4487-6384","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.5497,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97386769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"56","issue":"4","first_page":"1845","last_page":"1858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9593999981880188,"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":0.9593999981880188,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.019999999552965164,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.00279999990016222,"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/robustness","display_name":"Robustness (evolution)","score":0.6521999835968018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185999870300293},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5152000188827515},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5098000168800354},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.4296000003814697},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.39399999380111694},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35179999470710754},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.34380000829696655}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6628999710083008},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6521999835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478999853134155},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.524399995803833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5152000188827515},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.4296000003814697},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3894999921321869},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2816999852657318},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.25459998846054077}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2026.3665442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3665442","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:41740097","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41740097","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5237364172935486,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8939252573","display_name":null,"funder_award_id":"DUT25YG229","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320311779","display_name":"Shanghai Association for Science and Technology","ror":"https://ror.org/05j0k2q54"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1947251450","https://openalex.org/W2002055708","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2122098299","https://openalex.org/W2302255633","https://openalex.org/W2599124244","https://openalex.org/W2731964405","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2903959724","https://openalex.org/W2911220936","https://openalex.org/W2926366943","https://openalex.org/W2962898354","https://openalex.org/W2969985801","https://openalex.org/W2984006054","https://openalex.org/W2985653130","https://openalex.org/W2994996873","https://openalex.org/W2997025969","https://openalex.org/W3024961463","https://openalex.org/W3035524453","https://openalex.org/W3108087271","https://openalex.org/W3147416409","https://openalex.org/W3159301005","https://openalex.org/W3169534597","https://openalex.org/W3172615411","https://openalex.org/W3183340146","https://openalex.org/W3197261948","https://openalex.org/W3200115061","https://openalex.org/W4200575130","https://openalex.org/W4210466371","https://openalex.org/W4220704297","https://openalex.org/W4220918378","https://openalex.org/W4225411558","https://openalex.org/W4285076876","https://openalex.org/W4297965062","https://openalex.org/W4311415873","https://openalex.org/W4312211295","https://openalex.org/W4327756935","https://openalex.org/W4361994982","https://openalex.org/W4381550270","https://openalex.org/W4382240094","https://openalex.org/W4383901064","https://openalex.org/W4385245566","https://openalex.org/W4386441900","https://openalex.org/W4386905885","https://openalex.org/W4386973857","https://openalex.org/W4387831772","https://openalex.org/W4387940421","https://openalex.org/W4390969301","https://openalex.org/W4392309135","https://openalex.org/W4394699177","https://openalex.org/W4395028532","https://openalex.org/W4396523306","https://openalex.org/W4400275793","https://openalex.org/W4400410908","https://openalex.org/W4402351812","https://openalex.org/W4403285421","https://openalex.org/W4408047717","https://openalex.org/W4408716260","https://openalex.org/W4408955201","https://openalex.org/W4409327438","https://openalex.org/W4409605207","https://openalex.org/W4413926072","https://openalex.org/W4414084603","https://openalex.org/W4414856473","https://openalex.org/W4416010705"],"related_works":[],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"emotion":[2,52],"recognition":[3],"plays":[4],"a":[5,45,69],"key":[6],"role":[7],"in":[8,28,34,111,124],"improving":[9,89],"human-machine":[10],"interactions.":[11],"Advanced":[12],"algorithms":[13],"have":[14],"been":[15],"proposed":[16],"for":[17,50,78],"this":[18,41],"task.":[19],"However,":[20],"two":[21],"challenges":[22],"remain,":[23],"i.e.,":[24],"unclear":[25],"decision":[26],"boundary":[27],"the":[29,75,90,106,112],"embedded":[30],"space":[31,77],"and":[32,62,108,120,131,143,150,160],"noise":[33,119],"physiological":[35],"signals":[36],"from":[37],"various":[38],"devices.":[39],"To":[40],"end,":[42],"we":[43],"develop":[44],"novel":[46],"framework,":[47],"namely,":[48],"UACL-Net,":[49],"EEG":[51],"recognition.":[53],"It":[54,81],"is":[55,82,129,158],"based":[56],"on":[57,133,146],"uncertainty-aware":[58],"contrastive":[59],"learning":[60],"(UACL)":[61],"frequency-aware":[63],"self-attention":[64,103],"(FASA).":[65],"Specifically,":[66],"UACL":[67],"uses":[68],"multivariate":[70],"Gaussian":[71],"distribution":[72],"to":[73,84,105,139],"construct":[74],"latent":[76],"different":[79],"emotions.":[80],"able":[83],"highlight":[85],"interclass":[86],"differences,":[87],"thereby":[88],"robustness":[91],"of":[92],"model":[93,128],"decisions.":[94],"In":[95],"addition,":[96],"FASA":[97],"generates":[98],"learnable":[99],"weights":[100],"by":[101],"applying":[102],"(SA)":[104],"real":[107],"imaginary":[109],"components":[110],"frequency":[113],"domain.":[114],"This":[115],"helps":[116],"adaptively":[117],"reduce":[118],"capture":[121],"global":[122],"dependencies":[123],"temporal":[125],"sequences.":[126],"Our":[127],"trained":[130],"tested":[132],"four":[134],"benchmark":[135],"datasets,":[136],"achieving":[137],"up":[138],"94.88%,":[140],"98.71%,":[141],"96.91%,":[142],"99.29%":[144],"accuracy":[145],"SEED,":[147],"DEAP,":[148],"DREAMER,":[149],"FACED,":[151],"respectively.":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"it":[157],"effective":[159],"has":[161],"advantages":[162],"over":[163],"peer":[164],"state-of-the-art":[165],"(SOTA)":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-02-26T00:00:00"}