{"id":"https://openalex.org/W4306317289","doi":"https://doi.org/10.1145/3511808.3557589","title":"EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation","display_name":"EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317289","doi":"https://doi.org/10.1145/3511808.3557589"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557589","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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/A5056916145","display_name":"Wonjun Ko","orcid":"https://orcid.org/0000-0001-7496-9007"},"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":"Wonjun Ko","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033720496","display_name":"Heung\u2010Il Suk","orcid":"https://orcid.org/0000-0001-7019-8962"},"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":"Heung-Il Suk","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056916145"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.6049,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84507042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4143","last_page":"4147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9653000235557556,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9611999988555908,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7566049098968506},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6526782512664795},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6277636289596558},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5442299246788025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4977896213531494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3967253565788269},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.197819322347641},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1309044361114502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566049098968506},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6526782512664795},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6277636289596558},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5442299246788025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4977896213531494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3967253565788269},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.197819322347641},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1309044361114502},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557589","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":21,"referenced_works":["https://openalex.org/W2017855408","https://openalex.org/W2149633616","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2910379596","https://openalex.org/W2915811296","https://openalex.org/W2963355311","https://openalex.org/W2970585579","https://openalex.org/W2979122372","https://openalex.org/W2981654920","https://openalex.org/W2986984881","https://openalex.org/W3009259306","https://openalex.org/W3023371261","https://openalex.org/W3040939498","https://openalex.org/W3101658985","https://openalex.org/W3102455230","https://openalex.org/W3124617164","https://openalex.org/W3153643636","https://openalex.org/W3171365508","https://openalex.org/W3177342940","https://openalex.org/W3200300741"],"related_works":["https://openalex.org/W189527659","https://openalex.org/W2076610045","https://openalex.org/W2961085424","https://openalex.org/W1569300204","https://openalex.org/W4306674287","https://openalex.org/W1522515376","https://openalex.org/W4224009465","https://openalex.org/W1571518467","https://openalex.org/W87991986","https://openalex.org/W1543657218"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning-based":[2],"electroencephalogram":[3],"(EEG)":[4],"analysis":[5],"and":[6,68,74],"decoding":[7],"have":[8],"gained":[9],"widespread":[10],"attention":[11],"to":[12,65,91],"monitor":[13],"a":[14,87],"user's":[15],"clinical":[16],"condition":[17],"or":[18,33],"identify":[19],"his/her":[20],"intention/emotion.":[21],"Nevertheless,":[22],"the":[23,37,40,79,101,104],"existing":[24],"methods":[25,64],"mostly":[26],"model":[27],"EEG":[28,41],"signals":[29],"with":[30,78,114],"limited":[31],"viewpoints":[32],"restricted":[34],"concerns":[35],"about":[36],"characteristics":[38,73],"of":[39,71,103],"signals,":[42],"thus":[43],"suffering":[44],"from":[45],"representing":[46],"complex":[47,67],"spatio-spectro-temporal":[48],"patterns":[49,70],"as":[50,52],"well":[51],"inter-subject":[53,94],"variability.":[54],"In":[55],"this":[56],"work,":[57],"we":[58,84],"propose":[59],"novel":[60],"EEG-oriented":[61],"self-supervised":[62,81],"learning":[63],"discover":[66],"diverse":[69],"spatio-spectral":[72],"spatio-temporal":[75],"dynamics.":[76],"Combined":[77],"proposed":[80,105],"representation":[82],"learning,":[83],"also":[85],"devise":[86],"feature":[88],"normalization":[89],"strategy":[90],"resolve":[92],"an":[93],"variability":[95],"problem":[96],"via":[97],"clustering.":[98],"We":[99],"demonstrated":[100],"validity":[102],"framework":[106],"on":[107],"three":[108],"publicly":[109],"available":[110],"datasets":[111],"by":[112],"comparing":[113],"state-of-the-art":[115],"methods.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
