{"id":"https://openalex.org/W4406259881","doi":"https://doi.org/10.1109/bibm62325.2024.10822473","title":"Advancing Semi-Supervised EEG Emotion Recognition through Feature Extraction with Mixup and Large Language Models","display_name":"Advancing Semi-Supervised EEG Emotion Recognition through Feature Extraction with Mixup and Large Language Models","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259881","doi":"https://doi.org/10.1109/bibm62325.2024.10822473"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5113751056","display_name":"Shiyi Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyi Yao","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949790","display_name":"Longfei Liu","orcid":"https://orcid.org/0000-0003-0249-2590"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Liu","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101944838","display_name":"Jingyi Lu","orcid":"https://orcid.org/0000-0003-2253-5164"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Lu","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001052399","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0002-0883-1402"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wu","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339248","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-8647-384X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113751056"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26893692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2772","last_page":"2779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8633000254631042,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8633000254631042,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.8190000057220459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7490734457969666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7354286909103394},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7250385284423828},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6082202792167664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5888256430625916},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5286612510681152},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49600133299827576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4836248457431793},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45503824949264526},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21192523837089539},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08090490102767944},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07482054829597473}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7490734457969666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354286909103394},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7250385284423828},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6082202792167664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5888256430625916},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5286612510681152},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49600133299827576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4836248457431793},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45503824949264526},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21192523837089539},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08090490102767944},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07482054829597473},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":29,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W2044170013","https://openalex.org/W2081420711","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2786768213","https://openalex.org/W2963009172","https://openalex.org/W3007482338","https://openalex.org/W3091002423","https://openalex.org/W3108564553","https://openalex.org/W3172507542","https://openalex.org/W3177342940","https://openalex.org/W4220866631","https://openalex.org/W4297939181","https://openalex.org/W4308834535","https://openalex.org/W4312597583","https://openalex.org/W4366291975","https://openalex.org/W4385304038","https://openalex.org/W4390971283","https://openalex.org/W4398242714","https://openalex.org/W6634441602","https://openalex.org/W6733814495","https://openalex.org/W6762913911","https://openalex.org/W6773005947","https://openalex.org/W6779659972","https://openalex.org/W6797001314","https://openalex.org/W6797185979","https://openalex.org/W6854866820","https://openalex.org/W6856157795"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2032664813","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"The":[0],"scarcity":[1],"of":[2,44,124],"labeled":[3,35,83,94,113,118,148],"EEG":[4,78],"data":[5,36,149],"presents":[6],"a":[7,20,170],"significant":[8,104],"challenge":[9],"in":[10,32,77,108,145,163,176],"emotion":[11,29,153,165],"recognition.":[12],"To":[13],"address":[14],"this":[15],"issue,":[16],"we":[17],"propose":[18],"PAWS,":[19],"semi-supervised":[21,177],"learning":[22],"framework":[23,72,157],"specifically":[24],"designed":[25],"to":[26,73,150],"enhance":[27],"EEG-based":[28,164],"recognition,":[30],"particularly":[31],"scenarios":[33,109],"where":[34],"is":[37,180],"extremely":[38],"limited.":[39],"PAWS":[40,60,96,120],"leverages":[41],"the":[42,71,102,129,137,161],"power":[43],"Intermediate":[45],"Mixup,":[46],"which":[47],"improves":[48],"domain":[49],"adaptation":[50],"by":[51],"generating":[52],"more":[53],"robust":[54,171],"features":[55],"through":[56],"strategic":[57],"augmentation.":[58],"Additionally,":[59],"integrates":[61],"large":[62],"language":[63],"models":[64],"(LLMs)":[65],"for":[66,173],"enhanced":[67],"feature":[68],"extraction,":[69],"enabling":[70],"capture":[74],"complex":[75],"patterns":[76],"signals":[79],"even":[80],"with":[81,87,101,110,116],"minimal":[82],"data.":[84],"In":[85],"experiments":[86],"1%,":[88],"5%,":[89],"10%,":[90],"15%,":[91],"and":[92,132],"20%":[93,117],"data,":[95,119],"consistently":[97],"outperformed":[98],"existing":[99],"methods,":[100],"most":[103],"performance":[105],"gains":[106],"observed":[107],"very":[111],"few":[112],"samples.":[114],"Notably,":[115],"achieved":[121],"an":[122],"accuracy":[123],"95.81%":[125],"\u00b1":[126,134],"0.52%":[127],"on":[128,136],"SEED":[130],"dataset":[131],"83.41%":[133],"0.31%":[135],"SEED-IV":[138],"dataset.":[139],"These":[140],"results":[141],"demonstrate":[142],"PAWS\u2019s":[143],"effectiveness":[144],"leveraging":[146],"limited":[147],"achieve":[151],"superior":[152],"recognition":[154,166],"performance.":[155],"This":[156],"not":[158],"only":[159],"advances":[160],"state-of-the-art":[162],"but":[167],"also":[168],"provides":[169],"foundation":[172],"future":[174],"research":[175],"learning.":[178],"Code":[179],"available":[181],"at":[182],"https://github.com/dragonlfy/PAWS.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}