{"id":"https://openalex.org/W2012352588","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251152","title":"A proposal for applying pdi-Boosting to brain-computer interfaces","display_name":"A proposal for applying pdi-Boosting to brain-computer interfaces","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2012352588","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251152","mag":"2012352588"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6251152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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/A5037058917","display_name":"Isao Hayashi","orcid":"https://orcid.org/0009-0001-9689-3274"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Isao Hayashi","raw_affiliation_strings":["Faculty of Informatics, Kansai University, Takatsuki, Osaka, 569-1095 (Japan)"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Kansai University, Takatsuki, Osaka, 569-1095 (Japan)","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027791971","display_name":"Shinji Tsuruse","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Tsuruse","raw_affiliation_strings":["Faculty of Informatics, Kansai University, Takatsuki, Osaka, 569-1095 (Japan)"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Kansai University, Takatsuki, Osaka, 569-1095 (Japan)","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067029155","display_name":"Junichi Suzuki","orcid":"https://orcid.org/0000-0001-9514-1145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junichi Suzuki","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Boston, 02125, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Boston, 02125, U.S.A","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007501932","display_name":"R. Kozma","orcid":"https://orcid.org/0000-0001-5281-2885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Thijs Kozma","raw_affiliation_strings":["Department of Mathematics, State University of New York, Stony Brook, 11794-3651, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, State University of New York, Stony Brook, 11794-3651, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037058917"],"corresponding_institution_ids":["https://openalex.org/I56624758"],"apc_list":null,"apc_paid":null,"fwci":0.4299,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.61208199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9926000237464905,"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":0.9891999959945679,"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8427245616912842},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8331918120384216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75689297914505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361924171447754},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5270581245422363},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4897329807281494},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48250842094421387},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.46013134717941284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40865397453308105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3729899525642395},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.2777305841445923},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1653366982936859}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8427245616912842},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8331918120384216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75689297914505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361924171447754},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5270581245422363},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4897329807281494},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48250842094421387},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.46013134717941284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40865397453308105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3729899525642395},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2777305841445923},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1653366982936859},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6251152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.8264","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.8264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.umb.edu/~jxs/pub/fuzz-ieee12.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1978760918","https://openalex.org/W1988790447","https://openalex.org/W2022021629","https://openalex.org/W2070534370","https://openalex.org/W2110513315","https://openalex.org/W2121478452","https://openalex.org/W2168020168","https://openalex.org/W2742870110","https://openalex.org/W2801322411","https://openalex.org/W7009044679","https://openalex.org/W7023956478","https://openalex.org/W7061121216"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"Abstract\u2014Brain-computer":[0],"interface":[1,5],"(BCI)":[2],"and":[3,20,119],"brain-machine":[4],"(BMI)":[6],"technologies":[7],"have":[8],"recently":[9],"entered":[10],"the":[11,79,84,87,94,121],"research":[12],"limelight.":[13],"In":[14,37,54],"many":[15],"such":[16],"systems,":[17],"external":[18,95],"computers":[19],"machines":[21],"are":[22],"controlled":[23],"by":[24],"brain":[25],"activity":[26],"signals":[27],"measured":[28],"using":[29,48,64,83],"near-infrared":[30],"spectroscopy":[31],"(NIRS)":[32],"or":[33],"electroencephalograph":[34],"(EEG)":[35],"devices.":[36],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42,49,65,115],"novel":[43],"boosting":[44,101],"algorithm":[45],"for":[46],"BCI":[47],"probabilistic":[50],"data":[51,58,109],"interpolation":[52],"scheme.":[53],"our":[55,100],"model,":[56],"interpolated":[57,85],"is":[59,90,110],"generated":[60],"around":[61],"classification":[62],"errors":[63],"probability":[66],"distribution":[67],"function,":[68],"as":[69],"opposed":[70],"to":[71,78,92],"conventional":[72],"AdaBoost":[73],"which":[74,107],"increases":[75],"weights":[76],"corresponding":[77],"misclassified":[80],"examples.":[81],"By":[82],"data,":[86],"discriminated":[88],"boundary":[89],"shown":[91],"control":[93],"machine":[96],"effectively.":[97],"We":[98],"verify":[99],"method":[102],"with":[103],"an":[104],"experiment":[105],"in":[106],"NIRS":[108],"obtained":[111],"from":[112],"subjects":[113],"performing":[114],"basic":[116],"arithmetic":[117],"task,":[118],"discuss":[120],"results.":[122],"I.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}