{"id":"https://openalex.org/W2789950121","doi":"https://doi.org/10.1155/2018/9871603","title":"Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification","display_name":"Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789950121","doi":"https://doi.org/10.1155/2018/9871603","mag":"2789950121","pmid":"https://pubmed.ncbi.nlm.nih.gov/29743934"},"language":"en","primary_location":{"id":"doi:10.1155/2018/9871603","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9871603","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2018/9871603.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2018/9871603.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054111994","display_name":"Mengxi Dai","orcid":"https://orcid.org/0000-0001-7872-404X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxi Dai","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072074280","display_name":"Dezhi Zheng","orcid":"https://orcid.org/0000-0003-3998-5989"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dezhi Zheng","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":"https://orcid.org/0000-0003-3998-5989","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054518224","display_name":"Shucong Liu","orcid":"https://orcid.org/0000-0001-5394-3406"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shucong Liu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102904889","display_name":"Pengju Zhang","orcid":"https://orcid.org/0000-0001-8245-0205"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengju Zhang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072074280"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":4.4541,"has_fulltext":true,"cited_by_count":83,"citation_normalized_percentile":{"value":0.95013483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"9"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9908000230789185,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7350592613220215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262678742408752},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6992567777633667},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6809811592102051},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6475706100463867},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6472107172012329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6390570402145386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5277873873710632},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49834465980529785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4948708415031433},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4561660885810852},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.44727522134780884},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44381627440452576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1256532073020935},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.11910843849182129}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7350592613220215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262678742408752},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6992567777633667},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6809811592102051},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6475706100463867},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6472107172012329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6390570402145386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5277873873710632},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49834465980529785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4948708415031433},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4561660885810852},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.44727522134780884},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44381627440452576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1256532073020935},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.11910843849182129},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019018","descriptor_name":"Imagery, Psychotherapy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019018","descriptor_name":"Imagery, Psychotherapy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019018","descriptor_name":"Imagery, Psychotherapy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2018/9871603","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9871603","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2018/9871603.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:29743934","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29743934","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:europepmc.org:4859520","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5878910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5878910","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5878910","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2018/9871603","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9871603","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2018/9871603.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1734705583","display_name":null,"funder_award_id":"2014BAF08B01","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G2335039542","display_name":null,"funder_award_id":"2014BAF08B01","funder_id":"https://openalex.org/F4320334938","funder_display_name":"Department of Science and Technology for Social Development"},{"id":"https://openalex.org/G4787751373","display_name":null,"funder_award_id":"IRT1203","funder_id":"https://openalex.org/F4320334938","funder_display_name":"Department of Science and Technology for Social Development"},{"id":"https://openalex.org/G8102843141","display_name":null,"funder_award_id":"IRT1203","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320310430","display_name":"TU Graz, Internationale Beziehungen und Mobilit\u00e4tsprogramme","ror":"https://ror.org/00d7xrm67"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320334938","display_name":"Department of Science and Technology for Social Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789950121.pdf","grobid_xml":"https://content.openalex.org/works/W2789950121.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1878006464","https://openalex.org/W1981658663","https://openalex.org/W1994837583","https://openalex.org/W1996167318","https://openalex.org/W2056545070","https://openalex.org/W2076456816","https://openalex.org/W2087977130","https://openalex.org/W2090158744","https://openalex.org/W2101629643","https://openalex.org/W2106006415","https://openalex.org/W2120345128","https://openalex.org/W2129023315","https://openalex.org/W2142280324","https://openalex.org/W2147454001","https://openalex.org/W2152119085","https://openalex.org/W2165698076","https://openalex.org/W2396172941","https://openalex.org/W3102218672"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W2944296668"],"abstract_inverted_index":{"Motor-imagery-based":[0],"brain-computer":[1],"interfaces":[2],"(BCIs)":[3],"commonly":[4],"use":[5],"the":[6,34,99,106,110,114,135,148,174,177,182],"common":[7],"spatial":[8],"pattern":[9],"(CSP)":[10],"as":[11],"preprocessing":[12],"step":[13],"before":[14],"classification.":[15],"The":[16,88,144],"CSP":[17,70,118,125,129,132],"method":[18],"is":[19,30,43,95],"a":[20,24,48,67,75],"supervised":[21],"algorithm.":[22],"Therefore":[23],"lot":[25],"of":[26,82,91,113,153,161,167,181],"time-consuming":[27],"training":[28,168],"data":[29],"needed":[31],"to":[32,73,97],"build":[33],"model.":[35],"To":[36,62],"address":[37],"this":[38,63],"issue,":[39],"one":[40],"promising":[41],"approach":[42,72,185],"transfer":[44,68,121],"learning,":[45],"which":[46],"generalizes":[47],"learning":[49],"model":[50],"can":[51,155],"extract":[52],"discriminative":[53],"information":[54],"from":[55],"other":[56],"subjects":[57,84,163],"for":[58,119],"target":[59,86],"classification":[60,111,151],"task.":[61],"end,":[64],"we":[65,108],"propose":[66],"kernel":[69,77],"(TKCSP)":[71],"learn":[74],"domain-invariant":[76],"by":[78,101],"directly":[79],"matching":[80],"distributions":[81],"source":[83,162],"and":[85,134,138,179],"subjects.":[87],"dataset":[89,175],"IVa":[90],"BCI":[92],"Competition":[93],"III":[94],"used":[96],"demonstrate":[98],"validity":[100],"our":[102],"proposed":[103,183],"methods.":[104,189],"In":[105],"experiment,":[107],"compare":[109],"performance":[112,152],"TKCSP":[115,154,184],"against":[116],"CSP,":[117],"subject-to-subject":[120],"(CSP":[122],"SJ-to-SJ),":[123],"regularizing":[124],"(RCSP),":[126],"stationary":[127],"subspace":[128],"(ssCSP),":[130],"multitask":[131],"(mtCSP),":[133],"combined":[136],"mtCSP":[137],"ssCSP":[139],"(ss":[140],"+":[141],"mtCSP)":[142],"method.":[143],"results":[145],"indicate":[146],"that":[147],"superior":[149],"mean":[150],"achieve":[156],"81.14%,":[157],"especially":[158],"in":[159],"case":[160],"with":[164],"fewer":[165],"number":[166],"samples.":[169],"Comprehensive":[170],"experimental":[171],"evidence":[172],"on":[173],"verifies":[176],"effectiveness":[178],"efficiency":[180],"over":[186],"several":[187],"state-of-the-art":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}