{"id":"https://openalex.org/W4416251615","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227942","title":"Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA)","display_name":"Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA)","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251615","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227942"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5107209080","display_name":"Hiroto Tamura","orcid":"https://orcid.org/0000-0003-2707-1573"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroto Tamura","raw_affiliation_strings":["The University of Tokyo,Graduate Schools for Law and Politics,Tokyo,Japan,113-0033"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Graduate Schools for Law and Politics,Tokyo,Japan,113-0033","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065197780","display_name":"Kantaro Fujiwara","orcid":"https://orcid.org/0000-0001-8114-7837"},"institutions":[{"id":"https://openalex.org/I83642850","display_name":"Tokyo International University","ror":"https://ror.org/01g9ekh39","country_code":"JP","type":"education","lineage":["https://openalex.org/I83642850"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kantaro Fujiwara","raw_affiliation_strings":["The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033","institution_ids":["https://openalex.org/I83642850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038078845","display_name":"Kazuyuki Aihara","orcid":"https://orcid.org/0000-0002-4602-9816"},"institutions":[{"id":"https://openalex.org/I83642850","display_name":"Tokyo International University","ror":"https://ror.org/01g9ekh39","country_code":"JP","type":"education","lineage":["https://openalex.org/I83642850"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Aihara","raw_affiliation_strings":["The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033","institution_ids":["https://openalex.org/I83642850"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025420478","display_name":"Gouhei Tanaka","orcid":"https://orcid.org/0000-0002-6223-4406"},"institutions":[{"id":"https://openalex.org/I83642850","display_name":"Tokyo International University","ror":"https://ror.org/01g9ekh39","country_code":"JP","type":"education","lineage":["https://openalex.org/I83642850"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gouhei Tanaka","raw_affiliation_strings":["The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,International Research Center for Neurointelligence (IRCN),Tokyo,Japan,113-0033","institution_ids":["https://openalex.org/I83642850"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107209080"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19483472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9761999845504761,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9761999845504761,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.002199999988079071,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7045999765396118},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5924000144004822},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.5651999711990356},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5411999821662903},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.49970000982284546},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.47369998693466187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4453999996185303},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4140999913215637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7045999765396118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585000157356262},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5924000144004822},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.5651999711990356},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5411999821662903},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.49970000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4948999881744385},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672999978065491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3968000113964081},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.3693999946117401},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.3440999984741211},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3206999897956848},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C117312493","wikidata":"https://www.wikidata.org/wiki/Q2035437","display_name":"Multivariable calculus","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1469859527","https://openalex.org/W1902688491","https://openalex.org/W1984516841","https://openalex.org/W1996014987","https://openalex.org/W2001631452","https://openalex.org/W2004386709","https://openalex.org/W2004938416","https://openalex.org/W2024529445","https://openalex.org/W2027802883","https://openalex.org/W2035104901","https://openalex.org/W2042591571","https://openalex.org/W2050493487","https://openalex.org/W2073177170","https://openalex.org/W2074477564","https://openalex.org/W2084001690","https://openalex.org/W2103179919","https://openalex.org/W2118706537","https://openalex.org/W2171865010","https://openalex.org/W2204346990","https://openalex.org/W2477329675","https://openalex.org/W2608997467","https://openalex.org/W2887258823","https://openalex.org/W2892035503","https://openalex.org/W2963798004","https://openalex.org/W2997546679","https://openalex.org/W2999825985","https://openalex.org/W3022375718","https://openalex.org/W3147178137","https://openalex.org/W3194202298","https://openalex.org/W3203906445","https://openalex.org/W4206471589","https://openalex.org/W4240592325","https://openalex.org/W4288057688","https://openalex.org/W4300672471","https://openalex.org/W4321483852","https://openalex.org/W4392199044"],"related_works":[],"abstract_inverted_index":{"Online":[0],"classification":[1,102,138,161],"of":[2],"multivariate":[3,97],"time":[4,144],"series":[5],"is":[6],"crucial":[7],"across":[8,172],"diverse":[9],"domains,":[10],"from":[11],"healthcare":[12],"monitoring":[13],"to":[14,29,41,47,91],"industrial":[15],"systems.":[16],"Reservoir":[17,71],"computing":[18],"(RC),":[19],"which":[20],"employs":[21],"a":[22,37,75],"fixed,":[23],"randomly":[24],"initialized":[25],"recurrent":[26],"neural":[27],"network":[28],"encode":[30],"temporal":[31,50,81],"data":[32],"sequentially,":[33],"has":[34],"emerged":[35],"as":[36],"promising":[38],"approach":[39,77],"due":[40],"its":[42],"efficient":[43],"training":[44],"and":[45,65,100,131,146,170],"ability":[46],"capture":[48],"complex":[49],"patterns.":[51],"However,":[52],"standard":[53],"RC":[54,126],"implementations":[55],"rely":[56],"on":[57,104],"regression-based":[58,125],"readouts":[59],"that":[60,78,120],"produce":[61],"temporally":[62],"unstable":[63],"outputs":[64],"limit":[66],"interpretability.":[67],"We":[68],"introduce":[69],"Gaussian":[70,98],"State":[72],"Analysis":[73],"(GRSA),":[74],"novel":[76],"combines":[79],"reservoirs\u2019":[80],"processing":[82],"capabilities":[83],"with":[84,151],"distribution-based":[85],"classification.":[86],"GRSA":[87,121],"models":[88],"reservoir":[89],"responses":[90],"sequences":[92],"in":[93],"each":[94,143],"class":[95],"using":[96,110],"distribution":[99],"performs":[101],"based":[103],"statistical":[105],"distances.":[106],"Through":[107],"comprehensive":[108],"evaluation":[109],"the":[111,124],"UEA":[112],"Multivariate":[113],"Time":[114],"Series":[115],"Classification":[116],"Archive,":[117],"we":[118],"demonstrate":[119],"significantly":[122],"outperforms":[123],"while":[127],"providing":[128],"more":[129],"stable":[130],"interpretable":[132],"outputs.":[133],"The":[134],"method":[135],"enables":[136],"continuous":[137],"by":[139],"generating":[140],"predictions":[141],"at":[142],"step":[145],"maintains":[147],"robust":[148],"performance":[149],"even":[150],"shortened":[152],"test":[153],"sequences,":[154],"making":[155],"it":[156],"particularly":[157],"suitable":[158],"for":[159,167],"early":[160],"tasks.":[162],"GRSA\u2019s":[163],"architectural":[164],"simplicity":[165],"allows":[166],"various":[168],"extensions":[169],"adaptations":[171],"different":[173],"application":[174],"domains.":[175]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
