{"id":"https://openalex.org/W2549162964","doi":"https://doi.org/10.1109/ijcnn.2016.7727277","title":"A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification","display_name":"A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2549162964","doi":"https://doi.org/10.1109/ijcnn.2016.7727277","mag":"2549162964"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.ulster.ac.uk/en/publications/ccbe1a21-bedc-4b23-b742-3eade0b199e7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030525432","display_name":"Haider Raza","orcid":"https://orcid.org/0000-0002-3955-0144"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"H. Raza","raw_affiliation_strings":["School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025447862","display_name":"Hubert Cecotti","orcid":"https://orcid.org/0000-0002-7661-0070"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"H. Cecotti","raw_affiliation_strings":["School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054882631","display_name":"Girijesh Prasad","orcid":"https://orcid.org/0000-0003-3284-9589"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"G. Prasad","raw_affiliation_strings":["School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Intelligent Systems, Ulster University Londonderry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030525432"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":2.0032,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86115047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"763","last_page":"770"},"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":0.9973999857902527,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854074239730835},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7812219262123108},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7647844552993774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6729882955551147},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6587159633636475},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5739197731018066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5495551824569702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.478891521692276},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4388258159160614},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3280722498893738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854074239730835},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7812219262123108},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7647844552993774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729882955551147},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6587159633636475},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5739197731018066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5495551824569702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.478891521692276},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4388258159160614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3280722498893738},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/ccbe1a21-bedc-4b23-b742-3eade0b199e7","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/ccbe1a21-bedc-4b23-b742-3eade0b199e7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Raza , H , Cecotti , H &amp; Prasad , G 2016 , A Combination of Transductive and Inductive Learning for handling Non-Stationarities in MotorImagery Classification . in Unknown Host Publication . IEEE , Int. Joint Conf. on Neural Networks , 3/11/16 . &lt; http://uir.ulster.ac.uk/35839/2/email_ijcnn_03.docx &gt;","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/ccbe1a21-bedc-4b23-b742-3eade0b199e7","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/ccbe1a21-bedc-4b23-b742-3eade0b199e7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Raza , H , Cecotti , H &amp; Prasad , G 2016 , A Combination of Transductive and Inductive Learning for handling Non-Stationarities in MotorImagery Classification . in Unknown Host Publication . IEEE , Int. Joint Conf. on Neural Networks , 3/11/16 . &lt; http://uir.ulster.ac.uk/35839/2/email_ijcnn_03.docx &gt;","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W105386708","https://openalex.org/W189742998","https://openalex.org/W1479807131","https://openalex.org/W1601795611","https://openalex.org/W1630959083","https://openalex.org/W1655754519","https://openalex.org/W1945063870","https://openalex.org/W1969878365","https://openalex.org/W1983100841","https://openalex.org/W1989936650","https://openalex.org/W1995877294","https://openalex.org/W2017855408","https://openalex.org/W2026979147","https://openalex.org/W2033540740","https://openalex.org/W2077508905","https://openalex.org/W2099509424","https://openalex.org/W2106006415","https://openalex.org/W2111208616","https://openalex.org/W2115260237","https://openalex.org/W2117381306","https://openalex.org/W2119163516","https://openalex.org/W2130379465","https://openalex.org/W2130695501","https://openalex.org/W2131153423","https://openalex.org/W2133565549","https://openalex.org/W2136504847","https://openalex.org/W2140372133","https://openalex.org/W2140475657","https://openalex.org/W2142280324","https://openalex.org/W2149298154","https://openalex.org/W2155758585","https://openalex.org/W2163310171","https://openalex.org/W2163791372","https://openalex.org/W2165177179","https://openalex.org/W2169100533","https://openalex.org/W2183603928","https://openalex.org/W2494797347","https://openalex.org/W2964057329","https://openalex.org/W4248337693","https://openalex.org/W4384296141","https://openalex.org/W6607672814","https://openalex.org/W6679517787","https://openalex.org/W6682581627","https://openalex.org/W6686252467"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2510077457","https://openalex.org/W2887556756","https://openalex.org/W195417223","https://openalex.org/W2951110009","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2047816336"],"abstract_inverted_index":{"A":[0],"major":[1],"issue":[2,73],"for":[3],"bringing":[4],"brain-computer":[5],"interface":[6],"(BCI)":[7],"based":[8,80],"on":[9,81,144],"electroencephalogram":[10],"(EEG)":[11],"recordings":[12],"outside":[13],"of":[14,19,25],"laboratories":[15],"is":[16,107,142],"the":[17,26,45,54,60,85,93,97,110,114,127,137,163,169],"non-stationarities":[18],"EEG":[20],"signals.":[21],"Varying":[22],"statistical":[23],"properties":[24],"signals":[27],"during":[28],"inter-":[29],"or":[30],"intra-session":[31],"transfers":[32],"can":[33,180],"lead":[34],"to":[35,49,59,70,119,125,135,149],"deteriorated":[36],"BCI":[37],"performances":[38],"over":[39,172],"time.":[40],"These":[41],"variations":[42],"may":[43,131],"cause":[44],"input":[46],"data":[47],"distribution":[48],"shift":[50],"when":[51],"transitioning":[52],"from":[53],"training":[55,94,138],"phase":[56,62],"(calibration":[57],"session)":[58],"testing/operating":[61],"resulting":[63],"in":[64,92,168],"a":[65,75],"covariate":[66],"shift.":[67],"We":[68],"propose":[69],"handle":[71],"this":[72],"using":[74],"novel":[76],"hybrid":[77],"learning":[78,175,178],"method":[79,106,141],"two":[82,145],"classifiers,":[83],"wherein":[84],"first":[86],"classifier":[87,99],"allows":[88],"including":[89],"new":[90],"information":[91],"dataset,":[95],"and":[96,130,158,176],"second":[98],"performs":[100],"an":[101,166],"overall":[102],"classification.":[103],"The":[104,140,160],"proposed":[105],"motivated":[108],"by":[109],"smoothness":[111],"assumption,":[112],"i.e.,":[113],"points":[115],"that":[116,165],"are":[117,122],"closest":[118],"each":[120],"other":[121],"more":[123],"likely":[124],"share":[126],"same":[128],"label,":[129],"be":[132,181],"added":[133],"online":[134],"enrich":[136],"dataset.":[139],"evaluated":[143],"real-world":[146],"datasets":[147],"corresponding":[148],"motor":[150],"imagery":[151],"detection":[152],"(BCI":[153],"competition":[154],"2008":[155],"dataset":[156],"2A":[157],"2B).":[159],"results":[161],"support":[162],"conclusion":[164],"improvement":[167],"classification":[170],"accuracy":[171],"traditional":[173],"inductive":[174],"semi-supervised":[177],"methods":[179],"obtained.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
