{"id":"https://openalex.org/W4400230286","doi":"https://doi.org/10.1109/iscas58744.2024.10557927","title":"FewShotEEG Learning and Classification for Brain- Computer Interface","display_name":"FewShotEEG Learning and Classification for Brain- Computer Interface","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230286","doi":"https://doi.org/10.1109/iscas58744.2024.10557927"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10557927","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10557927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082675058","display_name":"Subrato Bharati","orcid":"https://orcid.org/0000-0001-8849-4313"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Subrato Bharati","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026732611","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-1427-1237"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082538217","display_name":"M. N. S. Swamy","orcid":"https://orcid.org/0000-0003-0904-1557"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S. Swamy","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9857000112533569,"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":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753497302532196},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6537458896636963},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5933952927589417},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4601188004016876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3897007703781128},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1929548680782318},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1280820369720459},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.11904948949813843},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11093944311141968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753497302532196},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6537458896636963},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5933952927589417},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4601188004016876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3897007703781128},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1929548680782318},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1280820369720459},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.11904948949813843},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11093944311141968},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10557927","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10557927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1969878365","https://openalex.org/W2103014813","https://openalex.org/W2128404967","https://openalex.org/W2132530617","https://openalex.org/W2133988362","https://openalex.org/W2169918686","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2783914690","https://openalex.org/W2794345050","https://openalex.org/W2888355470","https://openalex.org/W2903871660","https://openalex.org/W2911969890","https://openalex.org/W2913246999","https://openalex.org/W2963283402","https://openalex.org/W2965485674","https://openalex.org/W2969288811","https://openalex.org/W2971518519","https://openalex.org/W3009180679","https://openalex.org/W3102455230","https://openalex.org/W3112695512","https://openalex.org/W3148095804","https://openalex.org/W4210605476","https://openalex.org/W4210716699","https://openalex.org/W4285275037","https://openalex.org/W4296035379","https://openalex.org/W4365801660","https://openalex.org/W6792941364"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"The":[0,90],"brain-computer":[1],"interface":[2],"(BCI)":[3],"establishes":[4],"a":[5,8,28,37,53,67],"connection":[6],"between":[7],"device":[9],"and":[10,62],"the":[11,22,44,81,94,101],"human":[12],"brain,":[13],"with":[14],"electroencephalography":[15],"(EEG)":[16],"signal":[17,33,84],"is":[18,77],"being":[19],"used":[20],"as":[21],"most":[23],"common":[24],"means":[25],"for":[26,43],"such":[27],"communication.":[29],"We":[30],"use":[31],"EEG":[32,83],"data":[34,85],"that":[35],"has":[36],"very":[38],"limited":[39,82],"number":[40],"of":[41,79,100],"samples":[42],"motor":[45],"imagery":[46],"(MI)":[47],"classification":[48],"task.":[49],"This":[50],"paper":[51],"proposes":[52],"novel":[54],"densely":[55],"connected":[56],"residual":[57],"graph":[58],"convolutional":[59],"network":[60],"(DenseResGCN)":[61],"uses":[63],"it":[64],"in":[65,98],"developing":[66],"few-shot":[68,96],"learning":[69],"method":[70,76,92],"called":[71],"FewShotEEG":[72],"method.":[73],"Our":[74],"proposed":[75,91],"capable":[78],"classifying":[80],"into":[86],"four":[87],"MI":[88],"classes.":[89],"outperforms":[93],"state-of-the-arts":[95],"methods":[97],"terms":[99],"accuracy.":[102]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
