{"id":"https://openalex.org/W2062521004","doi":"https://doi.org/10.1109/ccmb.2013.6609175","title":"Online feature selection for Brain Computer Interfaces","display_name":"Online feature selection for Brain Computer Interfaces","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2062521004","doi":"https://doi.org/10.1109/ccmb.2013.6609175","mag":"2062521004"},"language":"en","primary_location":{"id":"doi:10.1109/ccmb.2013.6609175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccmb.2013.6609175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB)","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/A5005773922","display_name":"Gareth Oliver","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Gareth Oliver","raw_affiliation_strings":["Research School of Computer Science, Australian National University, Canberra, Australia","[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046100176","display_name":"Peter Sunehag","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Sunehag","raw_affiliation_strings":["Research School of Computer Science, Australian National University, Canberra, Australia","[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030379402","display_name":"Tom Gedeon","orcid":"https://orcid.org/0000-0001-8356-4909"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tom Gedeon","raw_affiliation_strings":["Research School of Computer Science, Australian National University, Canberra, Australia","[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"[Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005773922"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11581287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"129"},"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":0.9976999759674072,"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/T10320","display_name":"Neural Networks and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8115770220756531},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7362222671508789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6993911266326904},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6634102463722229},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6180116534233093},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5744278430938721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5351262092590332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4438457190990448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115770220756531},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7362222671508789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6993911266326904},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6634102463722229},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6180116534233093},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5744278430938721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5351262092590332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4438457190990448},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ccmb.2013.6609175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccmb.2013.6609175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/65992","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/65992","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Online Feature Selection for Brain Computer Interfaces","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1537495923","https://openalex.org/W1838411906","https://openalex.org/W2028085420","https://openalex.org/W2039930961","https://openalex.org/W2044955611","https://openalex.org/W2054716087","https://openalex.org/W2100520672","https://openalex.org/W2119479037","https://openalex.org/W2119821739","https://openalex.org/W2122359413","https://openalex.org/W2128404967","https://openalex.org/W2131321253","https://openalex.org/W2132360759","https://openalex.org/W2152693668","https://openalex.org/W2158571299","https://openalex.org/W2171607055","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W6679555981"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2006651773","https://openalex.org/W2027050655","https://openalex.org/W2626256601","https://openalex.org/W3028244590","https://openalex.org/W2900413183","https://openalex.org/W2014369232","https://openalex.org/W4390975304","https://openalex.org/W2050078012","https://openalex.org/W147410782"],"abstract_inverted_index":{"Online":[0],"adaptation":[1,40,93,160],"of":[2,41,74,116,142,164],"Brain":[3],"Computer":[4],"Interfaces":[5],"allows":[6],"for":[7,187],"arduous":[8],"training":[9],"periods":[10],"to":[11,22,37,56,106,158,175,195],"be":[12,95],"circumvented.":[13],"To":[14,86,154],"do":[15],"this":[16,125,193],"we":[17,126,169],"must":[18,94],"adapt":[19,107],"a":[20,23,29,35,88,130,162],"classifier":[21,68,178],"new":[24,30,189],"session,":[25],"or":[26],"better":[27],"yet,":[28],"subject.":[31,190],"We":[32,59,100,191],"initially":[33],"outline":[34],"procedure":[36],"perform":[38],"online":[39,92],"both":[42,63,117],"the":[43,47,67,79,91,108,135,138,156,177,188],"classifier's":[44],"weights":[45],"and":[46,50,66,81,102,120,137,146],"feature":[48,64,109,132],"selection":[49,65,110,133],"confirm":[51],"its":[52],"use":[53,115],"in":[54,70,181],"session":[55,57],"transfer.":[58],"found":[60,192],"that":[61,128,182,184],"retraining":[62,78,89],"resulted":[69],"an":[71],"average":[72],"improvement":[73],"5%":[75],"over":[76],"simply":[77],"classifier,":[80],"as":[82,84],"high":[83],"10%.":[85],"avoid":[87],"phase":[90],"performed":[96,134],"without":[97],"labeled":[98],"data.":[99,199],"propose":[101],"compare":[103],"several":[104],"methods":[105],"on":[111],"unlabeled":[112],"data,":[113],"making":[114],"semi-supervised":[118,144],"learning":[119,145],"interactive":[121,147],"error":[122,148],"potentials.":[123],"From":[124],"determined":[127],"performing":[129,151],"weighted":[131],"best,":[136],"proposed":[139],"novel":[140],"approach":[141,194],"combining":[143],"potentials":[149],"outperformed":[150],"each":[152],"individually.":[153],"improve":[155],"subject":[157,159],"when":[161],"database":[163,183],"previous":[165],"subjects":[166,180],"is":[167],"available,":[168],"investigated":[170],"using":[171],"Weighted":[172],"Majority":[173],"Voting":[174],"weight":[176],"towards":[179],"are":[185],"useful":[186],"outperform":[196],"pooling":[197],"all":[198]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
