{"id":"https://openalex.org/W2069053473","doi":"https://doi.org/10.1016/s1088-467x(98)00032-8","title":"Self-organized-expert modular network for classification of spatiotemporal sequences","display_name":"Self-organized-expert modular network for classification of spatiotemporal sequences","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2069053473","doi":"https://doi.org/10.1016/s1088-467x(98)00032-8","mag":"2069053473"},"language":"en","primary_location":{"id":"doi:10.1016/s1088-467x(98)00032-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(98)00032-8","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5034927678","display_name":"S RAY","orcid":"https://orcid.org/0000-0002-2641-8048"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S RAY","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, IL 61801, USA","Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, IL 61801, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, 1304 West Springfield Avenue, Urbana, IL 61801, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019752561","display_name":"W HSU","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W HSU","raw_affiliation_strings":["National Computational Science Alliance, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","National Computational Science Alliance, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"National Computational Science Alliance, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"National Computational Science Alliance, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034927678"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.6057,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86369749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"1-4","first_page":"287","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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":0.9653000235557556,"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/modular-design","display_name":"Modular design","score":0.7463262677192688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5077043771743774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4847426116466522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3532603979110718}],"concepts":[{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.7463262677192688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5077043771743774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4847426116466522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3532603979110718},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s1088-467x(98)00032-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(98)00032-8","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1523224409","https://openalex.org/W1979500821","https://openalex.org/W2025653905","https://openalex.org/W2081040353","https://openalex.org/W2093090592","https://openalex.org/W2110485445","https://openalex.org/W2114083375","https://openalex.org/W2124776405","https://openalex.org/W2168874580"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2378076731","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1,126],"paper,":[2],"we":[3,62],"investigate":[4],"a":[5,44,79,239],"form":[6],"of":[7,81,94,138,166,184,195,205,208,213,228,266],"modular":[8,49],"neural":[9],"network":[10,178,217],"for":[11,211],"classification":[12,227],"with":[13,43],"(a)":[14,255],"pre-separated":[15],"input":[16,76,96,158,168,249],"vectors":[17,159],"entering":[18],"its":[19,129,185],"specialist":[20,24],"(expert)":[21],"networks,":[22],"(b)":[23,261],"networks":[25],"which":[26,37,153],"are":[27,59,160],"self-organized":[28,86],"(radial-basis":[29],"function":[30],"or":[31],"self-targeted":[32],"feedforward":[33],"type)":[34],"and":[35,88,128,174,241,260,270,279],"(c)":[36],"fuses":[38],"(or":[39,257],"integrates)":[40],"the":[41,48,56,64,91,95,99,106,118,123,135,149,154,157,163,167,170,193,196,203,206,214,226,273,281],"specialists":[42,100],"single-layer":[45],"net.":[46],"When":[47],"architecture":[50,127],"is":[51,109,131],"applied":[52],"to":[53,73,115,117,152,202,225,244,275],"spatiotemporal":[54],"sequences,":[55],"Specialist":[57,69],"Nets":[58],"recurrent;":[60],"specifically,":[61],"use":[63],"Input":[65],"Recurrent":[66],"type.":[67],"The":[68,176,247,268],"Networks":[70],"(SNs)":[71],"learn":[72,172],"divide":[74],"their":[75,104],"space":[77],"into":[78,252],"number":[80,207],"equivalence":[82,150,209],"classes":[83,151,210],"defined":[84],"by":[85,111,162,182,238],"clustering":[87,165],"learning":[89],"using":[90],"statistical":[92],"properties":[93],"domain.":[97],"Once":[98],"have":[101],"settled":[102],"in":[103],"training,":[105],"Fusion":[107],"Network":[108],"trained":[110],"any":[112],"supervised":[113],"method":[114],"map":[116,156],"semantic":[119],"classes.":[120],"We":[121,187],"discuss":[122],"fact":[124],"that":[125,192],"training":[130],"quite":[132],"distinct":[133],"from":[134,145],"hierarchical":[136],"mixture":[137],"experts":[139],"(HME)":[140],"type":[141],"as":[142,144,220,231,264],"well":[143],"stacked":[146],"generalization.":[147],"Because":[148],"SNs":[155,171],"determined":[161],"natural":[164],"data,":[169],"rapidly":[173,181],"accurately.":[175],"fusion":[177],"also":[179],"trains":[180],"reason":[183],"simplicity.":[186],"argue,":[188],"on":[189],"theoretical":[190,282],"grounds,":[191],"accuracy":[194],"system":[197],"should":[198],"be":[199,276],"positively":[200],"correlated":[201],"product":[204],"all":[212],"SNs.":[215],"This":[216],"was":[218,250],"applied,":[219],"an":[221],"empirical":[222],"test":[223],"case,":[224],"melodies":[229],"presented":[230],"direct":[232],"audio":[233,248],"events":[234],"(temporal":[235],"sequences)":[236],"played":[237],"human":[240],"subject,":[242],"therefore,":[243],"biological":[245],"variations.":[246],"divided":[251],"two":[253],"modes:":[254],"frequency":[256],"pitch)":[258],"variation":[259],"rhythm,":[262],"both":[263],"functions":[265],"time.":[267],"results":[269],"observations":[271],"show":[272],"technique":[274],"very":[277],"robust":[278],"support":[280],"deductions":[283],"concerning":[284],"accuracy.":[285]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
