{"id":"https://openalex.org/W4401750782","doi":"https://doi.org/10.1109/isbi56570.2024.10635751","title":"Multi-Scale Recursive Feature Interaction for Auditory Attention Detection Using EEG Signals","display_name":"Multi-Scale Recursive Feature Interaction for Auditory Attention Detection Using EEG Signals","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401750782","doi":"https://doi.org/10.1109/isbi56570.2024.10635751"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635751","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635751","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 Biomedical Imaging (ISBI)","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/A5100648225","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-4580-2851"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439301","display_name":"Ran Zhang","orcid":"https://orcid.org/0000-0002-9514-7253"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Zhang","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088380372","display_name":"Siqi Cai","orcid":"https://orcid.org/0000-0003-3282-9246"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siqi Cai","raw_affiliation_strings":["National University of Singapore,Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100648225"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3443,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58354167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"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":0.9290000200271606,"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":0.9290000200271606,"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":0.7193039059638977},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6955624222755432},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6131716370582581},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5768855810165405},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5275200009346008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45588430762290955},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4511392414569855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42067956924438477},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13437485694885254},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10589468479156494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193039059638977},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6955624222755432},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6131716370582581},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5768855810165405},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5275200009346008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45588430762290955},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4511392414569855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42067956924438477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13437485694885254},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10589468479156494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/isbi56570.2024.10635751","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635751","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 Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1991139021","https://openalex.org/W2158904676","https://openalex.org/W2771075519","https://openalex.org/W2949846184","https://openalex.org/W2980767905","https://openalex.org/W2981815944","https://openalex.org/W3057611960","https://openalex.org/W3159696612","https://openalex.org/W3162658840","https://openalex.org/W3209938276","https://openalex.org/W3213601271","https://openalex.org/W4205620265","https://openalex.org/W4206654584","https://openalex.org/W4206798246","https://openalex.org/W4246193833","https://openalex.org/W4285140660","https://openalex.org/W4288277460","https://openalex.org/W4288804646","https://openalex.org/W4393748202","https://openalex.org/W6729983426","https://openalex.org/W6766844300","https://openalex.org/W6797578546","https://openalex.org/W6840866624"],"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/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W4323929055","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Decoding":[0],"auditory":[1,34],"attention":[2,35],"from":[3,80],"electroencephalography":[4],"(EEG)":[5],"signals":[6],"in":[7,13,21,102],"cocktail":[8],"party":[9],"scenarios":[10],"is":[11],"crucial":[12],"the":[14,22,29],"advancement":[15],"of":[16,24],"brain-computer":[17],"interface":[18],"applications,":[19],"particularly":[20],"development":[23],"neuro-guided":[25],"hearing":[26,104],"aids.":[27,105],"Despite":[28],"potential":[30,98],"benefits,":[31],"effectively":[32,76],"implementing":[33],"detection":[36],"(AAD)":[37],"with":[38],"low":[39],"latency":[40],"and":[41,68],"limited":[42],"resources":[43],"remains":[44],"a":[45,53],"challenging":[46],"task.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"propose":[52],"lightweight":[54],"multi-scale":[55],"recursive":[56,73],"feature":[57,66,70,78],"interactive":[58],"network,":[59],"named":[60],"mRFInet,":[61],"which":[62],"incorporates":[63],"long-range":[64],"spatial":[65],"extraction":[67],"higher-order":[69],"interactions":[71],"through":[72],"design":[74],"to":[75],"extract":[77],"representations":[79],"EEG":[81],"for":[82,99],"AAD.":[83],"Through":[84],"extensive":[85],"experiments":[86],"on":[87],"two":[88],"publicly":[89],"available":[90],"datasets,":[91],"mRFInet":[92],"demonstrates":[93],"competitive":[94],"performance,":[95],"showcasing":[96],"its":[97],"practical":[100],"implementation":[101],"neuro-steering":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
