{"id":"https://openalex.org/W1970557278","doi":"https://doi.org/10.1109/grc.2011.6122674","title":"Hidden dynamic learning for long-interval consecutive missing values reconstruction in EEG time series","display_name":"Hidden dynamic learning for long-interval consecutive missing values reconstruction in EEG time series","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1970557278","doi":"https://doi.org/10.1109/grc.2011.6122674","mag":"1970557278"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2011.6122674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2011.6122674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Granular Computing","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/A5108136971","display_name":"Nguy\u1ec5n Th\u1ecb Ng\u1ecdc \u00c1nh","orcid":"https://orcid.org/0009-0001-3886-9612"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nguyen Thi Ngoc Anh","raw_affiliation_strings":["Department of Computer Science, Chonnam National University, Gwangju, South Korea","Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Hyung Kim","raw_affiliation_strings":["Department of Computer Science, Chonnam National University, Gwangju, South Korea","Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Department of Computer Science, Chonnam National University, Gwangju, South Korea","Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417561","display_name":"Sun\u2010Hee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sun-Hee Kim","raw_affiliation_strings":["Department of Computer Science, Chonnam National University, Gwangju, South Korea","Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju, 500\u2010757, Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108136971"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":0.1374,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.47631072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9988999962806702,"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":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9940999746322632,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9904000163078308,"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/missing-data","display_name":"Missing data","score":0.8994861841201782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655944287776947},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6107385158538818},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6066349744796753},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5689287781715393},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5345674157142639},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4625531733036041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4430179297924042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4313904941082001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.424649178981781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41892486810684204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2767966389656067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26383036375045776}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8994861841201782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655944287776947},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6107385158538818},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6066349744796753},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5689287781715393},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5345674157142639},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4625531733036041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4430179297924042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4313904941082001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.424649178981781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41892486810684204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2767966389656067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26383036375045776},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2011.6122674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2011.6122674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Granular Computing","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":21,"referenced_works":["https://openalex.org/W1615057313","https://openalex.org/W1963718895","https://openalex.org/W1995365180","https://openalex.org/W2006761437","https://openalex.org/W2035366415","https://openalex.org/W2042961981","https://openalex.org/W2053744708","https://openalex.org/W2060970792","https://openalex.org/W2061420513","https://openalex.org/W2096863518","https://openalex.org/W2098803063","https://openalex.org/W2126455177","https://openalex.org/W2155758585","https://openalex.org/W2158382689","https://openalex.org/W2165395308","https://openalex.org/W2596387916","https://openalex.org/W4205502210","https://openalex.org/W4248337693","https://openalex.org/W4300003310","https://openalex.org/W6682581627","https://openalex.org/W6683424812"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"Accurate":[0],"and":[1,50,82,125,155],"reliable":[2],"estimation":[3],"of":[4,20,27,36,54,88,140,165,188],"multiple":[5,80,115],"coevolving":[6,116],"time":[7,69,117,161],"series":[8,70],"over":[9,162],"random":[10,137],"long-interval":[11],"consecutive":[12,138],"missing":[13,28,65,89,101,131,142],"values":[14,29,66,102,143],"have":[15],"become":[16],"the":[17,21,25,52,77,141,149,163],"new":[18,96],"frontier":[19],"reconstruction":[22,146],"discipline.":[23],"If":[24],"problem":[26],"cannot":[30],"be":[31,41],"solved,":[32],"a":[33,95,121,153],"significant":[34],"number":[35],"important":[37],"data":[38,181],"sets":[39],"will":[40],"improperly":[42],"analyzed":[43],"or":[44],"discarded":[45],"as":[46],"they":[47],"can":[48],"distort":[49],"repudiate":[51],"usage":[53],"several":[55],"methodologies.":[56],"Conventional":[57],"interpolation":[58],"approaches":[59],"are":[60,75],"commonly":[61],"used":[62],"to":[63,98,129,185],"estimate":[64],"in":[67],"incomplete":[68,180],"patterns.":[71],"However,":[72],"these":[73],"methods":[74],"ignoring":[76],"correlations":[78,113],"among":[79],"dimensions":[81],"becoming":[83],"invalid":[84],"for":[85],"long":[86],"period":[87],"values.":[90,132],"This":[91],"research":[92],"therefore":[93],"proposes":[94],"approach":[97,111,157],"automatically":[99],"recover":[100],"based":[103],"on":[104,173],"applying":[105],"Linear":[106],"Dynamical":[107],"System.":[108],"The":[109,133,167],"proposed":[110,134,150,168],"captures":[112],"between":[114],"sequences":[118],"via":[119],"identifying":[120],"few":[122],"hidden":[123],"variables":[124],"mining":[126],"their":[127],"dynamics":[128],"impute":[130],"methodology":[135],"recovers":[136],"observation":[139],"with":[144,158],"low":[145],"errors.":[147],"Moreover,":[148],"method":[151],"offers":[152],"robust":[154],"scalable":[156],"linear":[159],"computation":[160],"size":[164],"sequences.":[166],"method's":[169],"applicability":[170],"is":[171],"demonstrated":[172],"real":[174],"world":[175],"electroencephalogram":[176],"(EEG)":[177],"signals":[178],"where":[179],"frequently":[182],"occur":[183],"due":[184],"corrupted":[186],"transmission":[187],"equipment":[189],"electrodes.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}