{"id":"https://openalex.org/W4361185878","doi":"https://doi.org/10.1109/bci57258.2023.10078607","title":"Automatic Sleep Stage Classification Method based on Transformer-in-Transformer","display_name":"Automatic Sleep Stage Classification Method based on Transformer-in-Transformer","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4361185878","doi":"https://doi.org/10.1109/bci57258.2023.10078607"},"language":"en","primary_location":{"id":"doi:10.1109/bci57258.2023.10078607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci57258.2023.10078607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Winter Conference on Brain-Computer Interface (BCI)","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/A5022089945","display_name":"Moogyeong Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Moogyeong Kim","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006122722","display_name":"Koohong Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Koohong Jung","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039799961","display_name":"Wonzoo Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonzoo Chung","raw_affiliation_strings":["Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Artificial Intelligence,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022089945"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.0869,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74901771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/transformer","display_name":"Transformer","score":0.592326283454895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628700256347656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3331056833267212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.331592857837677},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.25041642785072327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19928544759750366},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10865533351898193}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.592326283454895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628700256347656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3331056833267212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.331592857837677},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.25041642785072327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19928544759750366},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10865533351898193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bci57258.2023.10078607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci57258.2023.10078607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Winter Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W2144691514","https://openalex.org/W2162800060","https://openalex.org/W2525537354","https://openalex.org/W2529700114","https://openalex.org/W2539353608","https://openalex.org/W2604096629","https://openalex.org/W2790486743","https://openalex.org/W2805033630","https://openalex.org/W2805075551","https://openalex.org/W2893892260","https://openalex.org/W2898642424","https://openalex.org/W2899090218","https://openalex.org/W2908510526","https://openalex.org/W2920016582","https://openalex.org/W2963919481","https://openalex.org/W2981654920","https://openalex.org/W3133696297","https://openalex.org/W3152633770","https://openalex.org/W3156463266","https://openalex.org/W3158818505","https://openalex.org/W3165396901","https://openalex.org/W3182909984","https://openalex.org/W3207444892","https://openalex.org/W4385245566","https://openalex.org/W6727807574","https://openalex.org/W6767290199","https://openalex.org/W6790690058","https://openalex.org/W6793607143","https://openalex.org/W6803003856"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"transformer-in-transformer-based":[4],"sleep":[5,39,81,101],"stage":[6],"classification":[7],"method":[8,92],"extracting":[9],"global":[10,47],"information":[11,21,28,48,56],"along":[12,22,68],"both":[13,63],"time":[14,64],"and":[15,65],"frequency":[16,24,66],"axes":[17,67],"is":[18,59],"proposed.":[19],"Global":[20],"the":[23,30,90],"axis":[25],"contains":[26],"important":[27],"of":[29,61,79],"signal,":[31],"such":[32],"as":[33],"harmonics.":[34],"However,":[35],"existing":[36,98],"deep":[37,99],"learning-based":[38,100],"staging":[40,102],"methods":[41],"have":[42],"been":[43],"focused":[44],"on":[45,85],"capturing":[46,62],"over":[49],"time.":[50],"Inspired":[51],"by":[52],"transformer-in-transformer":[53,74],"for":[54],"music":[55],"retrieval,":[57],"which":[58],"capable":[60],"dependency,":[69],"we":[70],"propose":[71],"to":[72,97],"adopt":[73],"architecture":[75],"into":[76],"sequence-to-sequence":[77],"scheme":[78],"automatic":[80],"staging.":[82],"Experimental":[83],"results":[84],"SleepEDFX":[86],"dataset":[87],"confirm":[88],"that":[89],"proposed":[91],"achieves":[93],"improved":[94],"performance":[95],"compared":[96],"methods.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}