{"id":"https://openalex.org/W2909707962","doi":"https://doi.org/10.1109/cbs.2018.8612222","title":"The Application of Transfer Learning in P300 Detection","display_name":"The Application of Transfer Learning in P300 Detection","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909707962","doi":"https://doi.org/10.1109/cbs.2018.8612222","mag":"2909707962"},"language":"en","primary_location":{"id":"doi:10.1109/cbs.2018.8612222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2018.8612222","pdf_url":null,"source":{"id":"https://openalex.org/S4306498323","display_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","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":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","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/A5100355801","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-1228-9038"},"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":"Yang Liu","raw_affiliation_strings":["Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559"},"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":"Chenguang Yang","raw_affiliation_strings":["Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100450024","display_name":"Zhijun Li","orcid":"https://orcid.org/0000-0002-3909-488X"},"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":"Zhijun Li","raw_affiliation_strings":["Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100355801"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3054,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59237537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9627000093460083,"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":0.8518877029418945},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8507691621780396},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8448394536972046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8200117349624634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7469977140426636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6939248442649841},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6201155781745911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49431800842285156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4857342839241028},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47943395376205444},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47422051429748535},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43091168999671936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42930880188941956},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4253345727920532},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4167681336402893},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3312452435493469},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07411056756973267}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8518877029418945},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8507691621780396},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8448394536972046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200117349624634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7469977140426636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6939248442649841},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6201155781745911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49431800842285156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4857342839241028},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47943395376205444},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47422051429748535},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43091168999671936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42930880188941956},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4253345727920532},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4167681336402893},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3312452435493469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07411056756973267},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbs.2018.8612222","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2018.8612222","pdf_url":null,"source":{"id":"https://openalex.org/S4306498323","display_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","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":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","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":38,"referenced_works":["https://openalex.org/W1601740268","https://openalex.org/W1770177499","https://openalex.org/W1968114652","https://openalex.org/W1977454809","https://openalex.org/W2035868320","https://openalex.org/W2044455804","https://openalex.org/W2075728230","https://openalex.org/W2098100592","https://openalex.org/W2099323129","https://openalex.org/W2101629643","https://openalex.org/W2102837100","https://openalex.org/W2106006415","https://openalex.org/W2110545034","https://openalex.org/W2117997437","https://openalex.org/W2119252970","https://openalex.org/W2122838776","https://openalex.org/W2126481981","https://openalex.org/W2129660483","https://openalex.org/W2138193331","https://openalex.org/W2141272778","https://openalex.org/W2146744682","https://openalex.org/W2150590430","https://openalex.org/W2151040995","https://openalex.org/W2151669316","https://openalex.org/W2154774916","https://openalex.org/W2155758585","https://openalex.org/W2158698691","https://openalex.org/W2168689324","https://openalex.org/W2740647797","https://openalex.org/W2751159520","https://openalex.org/W4233042170","https://openalex.org/W4248337693","https://openalex.org/W6636118231","https://openalex.org/W6675835837","https://openalex.org/W6680695342","https://openalex.org/W6682581627","https://openalex.org/W6743610700","https://openalex.org/W6793264026"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1616854372","https://openalex.org/W1969223073"],"abstract_inverted_index":{"The":[0,109],"main":[1],"task":[2],"of":[3,17,33,39,105],"a":[4,76],"Brain-Computer":[5],"Interface":[6],"(BCI)":[7],"is":[8,70,81,115,123],"to":[9,14,86],"use":[10],"the":[11,18,31,37,54,67,88,101],"EEG":[12],"signals":[13,35],"realize":[15],"communication":[16],"human":[19],"brain":[20],"and":[21,46,98,120],"computers":[22],"or":[23],"other":[24],"external":[25],"devices.":[26],"This":[27],"paper":[28],"mainly":[29],"studies":[30],"classification":[32],"P300":[34],"with":[36,63],"method":[38,85],"transfer":[40,59,78],"learning.":[41,60],"Convolutional":[42],"neural":[43],"network":[44],"(CNN)":[45],"support":[47],"vector":[48],"machine":[49],"(SVM)":[50],"are":[51,94],"used":[52],"as":[53],"basic":[55],"learning":[56,79],"algorithm":[57],"for":[58,72],"Fine-tuning":[61],"(FT)":[62],"which":[64],"we":[65],"built":[66],"CNN-FT":[68,113],"model":[69,114,119,122],"introduced":[71],"CNN.":[73],"Tradaboost":[74],"algorithm,":[75],"novel":[77],"framework,":[80],"applied":[82],"in":[83],"SVM":[84,126],"construct":[87],"SVM-TL":[89,121],"model.":[90,127],"These":[91],"two":[92],"models":[93],"trained,":[95],"tested,":[96],"compared":[97],"analyzed":[99],"on":[100],"Data":[102],"set":[103],"II":[104],"BCI":[106],"Competition":[107],"III.":[108],"results":[110],"show":[111],"that":[112],"better":[116,124],"than":[117,125],"CNN":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
