{"id":"https://openalex.org/W4391331318","doi":"https://doi.org/10.1109/smc53992.2023.10394335","title":"Beyond Within-Subject Performance: A Multi-Dataset Study of Fine-Tuning in the EEG Domain","display_name":"Beyond Within-Subject Performance: A Multi-Dataset Study of Fine-Tuning in the EEG Domain","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331318","doi":"https://doi.org/10.1109/smc53992.2023.10394335"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394335","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.essex.ac.uk/37840/1/Beyond_Within-Subject_Performance_A_Multi-Dataset_Study_of_Fine-Tuning_in_the_EEG_Domain.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001431318","display_name":"Christina Sartzetaki","orcid":"https://orcid.org/0009-0009-2057-5614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christina Sartzetaki","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019849669","display_name":"Panagiotis Antoniadis","orcid":"https://orcid.org/0000-0001-5647-641X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Antoniadis","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040958665","display_name":"Nick Antonopoulos","orcid":"https://orcid.org/0000-0002-3175-8338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nick Antonopoulos","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046131361","display_name":"Ioannis Gkinis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ioannis Gkinis","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015752410","display_name":"Agamemnon Krasoulis","orcid":"https://orcid.org/0000-0002-0468-0627"},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Agamemnon Krasoulis","raw_affiliation_strings":["Insilico Medicine AI Limited,Abu Dhabi,UAE","Insilico Medicine AI Limited, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insilico Medicine AI Limited,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I117222138"]},{"raw_affiliation_string":"Insilico Medicine AI Limited, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080036634","display_name":"Serafeim Perdikis","orcid":"https://orcid.org/0000-0003-2033-2486"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Serafeim Perdikis","raw_affiliation_strings":["University of Essex,Colchester,UK","University of Essex, Colchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Essex,Colchester,UK","institution_ids":["https://openalex.org/I110002522"]},{"raw_affiliation_string":"University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040922549","display_name":"Vassilis Pitsikalis","orcid":"https://orcid.org/0000-0002-1593-7491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vassilis Pitsikalis","raw_affiliation_strings":["Deeplab,Athens,Greece","Deeplab, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deeplab,Athens,Greece","institution_ids":[]},{"raw_affiliation_string":"Deeplab, Athens, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3043,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57245084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4429","last_page":"4435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8501248359680176},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7214845418930054},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6400735378265381},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5581642389297485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5493589639663696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4899103045463562},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48698267340660095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4466547667980194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4300239384174347},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4166371822357178},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36043453216552734},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10546648502349854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8501248359680176},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7214845418930054},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6400735378265381},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5581642389297485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493589639663696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4899103045463562},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48698267340660095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4466547667980194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4300239384174347},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4166371822357178},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36043453216552734},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10546648502349854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc53992.2023.10394335","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.essex.ac.uk:37840","is_oa":true,"landing_page_url":null,"pdf_url":"https://repository.essex.ac.uk/37840/1/Beyond_Within-Subject_Performance_A_Multi-Dataset_Study_of_Fine-Tuning_in_the_EEG_Domain.pdf","source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:repository.essex.ac.uk:37840","is_oa":true,"landing_page_url":null,"pdf_url":"https://repository.essex.ac.uk/37840/1/Beyond_Within-Subject_Performance_A_Multi-Dataset_Study_of_Fine-Tuning_in_the_EEG_Domain.pdf","source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391331318.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W5015309","https://openalex.org/W1488979667","https://openalex.org/W1821462560","https://openalex.org/W1968417898","https://openalex.org/W1969878365","https://openalex.org/W2003621157","https://openalex.org/W2004518996","https://openalex.org/W2050832787","https://openalex.org/W2051218759","https://openalex.org/W2081559086","https://openalex.org/W2082070408","https://openalex.org/W2103032521","https://openalex.org/W2119163516","https://openalex.org/W2119191234","https://openalex.org/W2151669316","https://openalex.org/W2165892205","https://openalex.org/W2559463885","https://openalex.org/W2602279467","https://openalex.org/W2741907166","https://openalex.org/W2743838086","https://openalex.org/W2792724009","https://openalex.org/W2801587739","https://openalex.org/W2808112130","https://openalex.org/W2888355470","https://openalex.org/W2904296567","https://openalex.org/W2963275094","https://openalex.org/W2963727766","https://openalex.org/W3000978293","https://openalex.org/W3041133507","https://openalex.org/W3085768000","https://openalex.org/W3102455230","https://openalex.org/W3112695512","https://openalex.org/W3114734335","https://openalex.org/W3115305254","https://openalex.org/W3177342940","https://openalex.org/W3206074366","https://openalex.org/W4220780312","https://openalex.org/W4221022811","https://openalex.org/W4226025124","https://openalex.org/W6638253140","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1969223073"],"abstract_inverted_index":{"There":[0],"is":[1,128],"a":[2,13,27,35,71,97],"critical":[3],"demand":[4],"for":[5,30,120],"BCI":[6,121],"systems":[7,122],"that":[8,33,114,124],"can":[9],"swiftly":[10],"adapt":[11],"to":[12,39,50,63,158,172],"new":[14],"user":[15,67],"and":[16,61,123,165,182,191],"at":[17],"the":[18,54,82,129,149,159,187],"same":[19],"time":[20],"function":[21],"with":[22],"any":[23],"user.":[24],"We":[25,103],"propose":[26],"fine-tuning":[28,115],"approach":[29,157],"neural":[31,178],"networks":[32],"serves":[34],"dual":[36],"purpose;":[37],"first,":[38],"minimize":[40],"calibration":[41],"times":[42],"through":[43],"requiring":[44],"considerably":[45],"less":[46],"data":[47],"-":[48,52],"up":[49,148],"one-sixth":[51],"from":[53,59,81,85],"target":[55],"subject":[56],"than":[57,135],"training":[58],"scratch,":[60],"second,":[62],"alleviate":[64],"cases":[65],"of":[66,75,131,151],"illiteracy":[68],"by":[69,96],"providing":[70],"substantial":[72],"performance":[73,95],"boost":[74],"over":[76,139],"11%":[77],"in":[78,100,110,143,161,186],"absolute":[79,141],"accuracy":[80,145,185],"features":[83],"learned":[84],"other":[86,117],"subjects.":[87,102],"Ultimately,":[88],"our":[89,156],"adaptation":[90,118],"method":[91],"surpasses":[92],"standard":[93],"within-subject":[94,184],"large":[98],"margin":[99],"all":[101],"present":[104],"ablation":[105],"studies":[106],"across":[107],"three":[108],"datasets,":[109],"which":[111],"we":[112,154],"demonstrate":[113],"outperforms":[116],"methods":[119,173],"what":[125],"matters":[126],"most":[127],"quantity":[130],"pre-training":[132],"subjects,":[133],"rather":[134],"their":[136],"BCI-ability,":[137],"achieving":[138],"8%":[140],"increase":[142],"classification":[144],"when":[146],"scaling":[147],"order":[150],"magnitude.":[152],"Finally,":[153],"compare":[155],"state-of-the-art":[160],"EEG-based":[162],"motor":[163],"imagery":[164],"find":[166],"it":[167],"comparable,":[168],"if":[169],"not":[170],"superior,":[171],"employing":[174],"far":[175],"more":[176],"complex":[177],"networks,":[179],"obtaining":[180],"82.60%":[181],"85.64%":[183],"four-class":[188],"BCIC":[189],"IV-2a":[190],"binary":[192],"MMI":[193],"datasets":[194],"respectively.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
