{"id":"https://openalex.org/W4386558490","doi":"https://doi.org/10.3390/a16090429","title":"Bayesian Opportunities for Brain\u2013Computer Interfaces: Enhancement of the Existing Classification Algorithms and Out-of-Domain Detection","display_name":"Bayesian Opportunities for Brain\u2013Computer Interfaces: Enhancement of the Existing Classification Algorithms and Out-of-Domain Detection","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386558490","doi":"https://doi.org/10.3390/a16090429"},"language":"en","primary_location":{"id":"doi:10.3390/a16090429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16090429","pdf_url":"https://www.mdpi.com/1999-4893/16/9/429/pdf?version=1694162889","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/9/429/pdf?version=1694162889","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092829575","display_name":"Egor I. Chetkin","orcid":"https://orcid.org/0009-0002-9820-5305"},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I4210158193","display_name":"Moscow State University of Psychology & Education","ror":"https://ror.org/04rnxkh71","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210158193"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor I. Chetkin","raw_affiliation_strings":["Institute of Nano-, Bio-, Information, Cognitive and Socio-Humanistic Sciences and Technologies, Moscow Institute of Physics and Technology, 123098 Moscow, Russia","MEG Center, Moscow State University of Psychology and Education, 123290 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Nano-, Bio-, Information, Cognitive and Socio-Humanistic Sciences and Technologies, Moscow Institute of Physics and Technology, 123098 Moscow, Russia","institution_ids":["https://openalex.org/I153845743"]},{"raw_affiliation_string":"MEG Center, Moscow State University of Psychology and Education, 123290 Moscow, Russia","institution_ids":["https://openalex.org/I4210158193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078766419","display_name":"Sergei L. Shishkin","orcid":"https://orcid.org/0000-0002-3257-1022"},"institutions":[{"id":"https://openalex.org/I4210158193","display_name":"Moscow State University of Psychology & Education","ror":"https://ror.org/04rnxkh71","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210158193"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergei L. Shishkin","raw_affiliation_strings":["MEG Center, Moscow State University of Psychology and Education, 123290 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"MEG Center, Moscow State University of Psychology and Education, 123290 Moscow, Russia","institution_ids":["https://openalex.org/I4210158193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009313402","display_name":"Bogdan L. Kozyrskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bogdan L. Kozyrskiy","raw_affiliation_strings":["Independent Researcher, 59000 Lille, France"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, 59000 Lille, France","institution_ids":["https://openalex.org/I2279609970"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009313402","https://openalex.org/A5078766419"],"corresponding_institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I4210158193"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.1804,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4940027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"9","first_page":"429","last_page":"429"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9926999807357788,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9907000064849854,"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/overfitting","display_name":"Overfitting","score":0.9263454675674438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937988042831421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6672228574752808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595265865325928},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6156659126281738},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6009405851364136},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5827482342720032},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5673229098320007},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4956568479537964},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47716373205184937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10327020287513733},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.07512599229812622}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9263454675674438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937988042831421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6672228574752808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595265865325928},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6156659126281738},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6009405851364136},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5827482342720032},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5673229098320007},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4956568479537964},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47716373205184937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10327020287513733},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.07512599229812622},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16090429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16090429","pdf_url":"https://www.mdpi.com/1999-4893/16/9/429/pdf?version=1694162889","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1c6ed813e36d4a519e42671bb53264c3","is_oa":true,"landing_page_url":"https://doaj.org/article/1c6ed813e36d4a519e42671bb53264c3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 9, p 429 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/9/429/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16090429","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16090429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16090429","pdf_url":"https://www.mdpi.com/1999-4893/16/9/429/pdf?version=1694162889","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6890669114","display_name":null,"funder_award_id":"22-19-00528","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386558490.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2011301426","https://openalex.org/W2053933777","https://openalex.org/W2133382750","https://openalex.org/W2169918686","https://openalex.org/W2225156818","https://openalex.org/W2346095864","https://openalex.org/W2422365436","https://openalex.org/W2475311545","https://openalex.org/W2531327146","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2794345050","https://openalex.org/W2891642103","https://openalex.org/W3000916453","https://openalex.org/W3003257820","https://openalex.org/W3014773921","https://openalex.org/W3043426275","https://openalex.org/W3048730206","https://openalex.org/W3089611792","https://openalex.org/W3091380357","https://openalex.org/W3102455230","https://openalex.org/W3106868169","https://openalex.org/W3129458144","https://openalex.org/W3150635270","https://openalex.org/W3158982735","https://openalex.org/W3172881691","https://openalex.org/W3175379388","https://openalex.org/W3185632102","https://openalex.org/W3199755270","https://openalex.org/W4295312788","https://openalex.org/W4302008857","https://openalex.org/W4313889970","https://openalex.org/W4321607974","https://openalex.org/W4385338410","https://openalex.org/W6757817989","https://openalex.org/W6764214684","https://openalex.org/W6766978945","https://openalex.org/W6780818307","https://openalex.org/W6786576763","https://openalex.org/W6791011251"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Bayesian":[0],"neural":[1,76],"networks":[2],"(BNNs)":[3],"are":[4,31,54],"effective":[5,75],"tools":[6],"for":[7,14,44,97,124,153],"a":[8,41,98,122],"variety":[9],"of":[10,17,20,71,106,144],"tasks":[11],"that":[12,141],"allow":[13],"the":[15,18,21,60,69,72,145],"estimation":[16,117],"uncertainty":[19,116],"model.":[22],"As":[23],"BNNs":[24],"use":[25],"prior":[26,109],"constraints":[27],"on":[28,59,101],"parameters,":[29],"they":[30],"better":[32],"regularized":[33],"and":[34,80],"less":[35],"prone":[36],"to":[37],"overfitting,":[38],"which":[39],"is":[40],"serious":[42],"issue":[43],"brain\u2013computer":[45],"interfaces":[46],"(BCIs),":[47],"where":[48],"typically":[49],"only":[50,134],"small":[51],"training":[52],"datasets":[53],"available.":[55],"Here,":[56],"we":[57,139],"tested,":[58],"BCI":[61],"Competition":[62],"IV":[63],"2a":[64],"motor":[65],"imagery":[66],"dataset,":[67],"if":[68,114],"performance":[70],"widely":[73],"used,":[74],"network":[77],"classifiers":[78],"EEGNet":[79],"Shallow":[81,102],"ConvNet":[82,103],"can":[83],"be":[84,119],"improved":[85],"by":[86],"turning":[87],"them":[88],"into":[89],"BNNs.":[90],"Accuracy":[91],"indeed":[92],"was":[93],"higher,":[94],"at":[95],"least":[96],"BNN":[99],"based":[100],"with":[104],"two":[105],"three":[107],"tested":[108],"distributions.":[110],"We":[111],"also":[112],"assessed":[113],"BNN-based":[115],"could":[118],"used":[120],"as":[121],"tool":[123],"out-of-domain":[125],"(OOD)":[126],"data":[127],"detection.":[128],"The":[129],"OOD":[130],"detection":[131],"worked":[132],"well":[133,152],"in":[135],"certain":[136],"participants;":[137],"however,":[138],"expect":[140],"further":[142],"development":[143],"method":[146],"may":[147],"make":[148],"it":[149],"work":[150],"sufficiently":[151],"practical":[154],"applications.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2023-09-09T00:00:00"}