{"id":"https://openalex.org/W2155415727","doi":"https://doi.org/10.1109/coginf.2010.5599713","title":"EEG hidden information mining using hierarchical feature extraction and classification","display_name":"EEG hidden information mining using hierarchical feature extraction and classification","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2155415727","doi":"https://doi.org/10.1109/coginf.2010.5599713","mag":"2155415727"},"language":"en","primary_location":{"id":"doi:10.1109/coginf.2010.5599713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2010.5599713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","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/A5100755036","display_name":"Deng Wang","orcid":"https://orcid.org/0009-0002-0495-6336"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deng Wang","raw_affiliation_strings":["Key Laboratory of Embedded System & Service Computing, Ministry of Education of China, University of Tongji, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System & Service Computing, Ministry of Education of China, University of Tongji, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024791074","display_name":"Duoqian Miao","orcid":"https://orcid.org/0000-0001-6588-1468"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoqian Miao","raw_affiliation_strings":["Tongji University, Shanghai, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102771326","display_name":"Xie Chen","orcid":"https://orcid.org/0000-0001-7423-617X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xie","raw_affiliation_strings":["Tongji University, Shanghai, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728134","display_name":"Hongyun Zhang","orcid":"https://orcid.org/0000-0001-9781-5078"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Zhang","raw_affiliation_strings":["Tongji University, Shanghai, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100755036"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.1578,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57896081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"77","issue":null,"first_page":"353","last_page":"357"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9760000109672546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8613665699958801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7648022770881653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7451860308647156},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6834419369697571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393486857414246},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5252227783203125},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.48526713252067566},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48068079352378845},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4558410346508026},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.44945114850997925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3896175026893616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3488975167274475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18861031532287598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10813173651695251}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8613665699958801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7648022770881653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7451860308647156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6834419369697571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393486857414246},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5252227783203125},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.48526713252067566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48068079352378845},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4558410346508026},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.44945114850997925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3896175026893616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3488975167274475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18861031532287598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10813173651695251},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginf.2010.5599713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2010.5599713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W192858286","https://openalex.org/W1503609435","https://openalex.org/W2002878629","https://openalex.org/W2010900554","https://openalex.org/W2021119971","https://openalex.org/W2039052749","https://openalex.org/W2058107164","https://openalex.org/W2064263898","https://openalex.org/W2073751873","https://openalex.org/W2077319616","https://openalex.org/W2081895431","https://openalex.org/W2090505068","https://openalex.org/W2103968840","https://openalex.org/W2105710559","https://openalex.org/W2106006415","https://openalex.org/W2118796925","https://openalex.org/W2135346934","https://openalex.org/W2149197845","https://openalex.org/W2296753195","https://openalex.org/W2610070659","https://openalex.org/W6737588047"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,71],"hierarchical":[4,24,72],"feature":[5,53],"extraction":[6,54],"and":[7,29,36,56,98,115],"classification":[8,30,100],"method":[9,46],"for":[10,21],"electroencephalogram":[11,109],"(EEG)":[12,110],"hidden":[13],"information":[14],"mining.":[15],"It":[16],"consists":[17],"of":[18,122],"supervised":[19],"learning":[20],"fewer":[22],"features,":[23],"knowledge":[25,73],"base":[26,74],"(HKB)":[27],"construction":[28],"test.":[31],"First,":[32],"the":[33,37,50,62,91,94,116,119],"discriminative":[34,63,88],"rules":[35,64,89],"corresponding":[38],"background":[39],"conditions":[40],"are":[41,104],"extracted":[42],"by":[43],"using":[44,93],"autoregressive":[45],"in":[47],"combination":[48],"with":[49],"nonparametric":[51],"weighted":[52],"(NWFE)":[55],"k-nearest":[57],"neighbor.":[58],"Second,":[59],"through":[60],"ranking":[61],"according":[65],"to":[66],"validation":[67],"test":[68],"correct":[69],"rate,":[70],"HKB":[75,92],"is":[76],"constructed.":[77],"Third,":[78],"given":[79],"an":[80],"EEG":[81],"sequence,":[82],"it":[83],"chooses":[84],"one":[85],"or":[86],"several":[87],"from":[90,112],"up-bottom":[95],"search":[96],"strategy":[97],"calculates":[99],"accuracy.":[101],"The":[102],"experiments":[103],"carried":[105],"out":[106],"upon":[107],"real":[108],"recordings":[111],"five":[113],"subjects":[114],"results":[117],"show":[118],"better":[120],"performance":[121],"our":[123],"method.":[124]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
