{"id":"https://openalex.org/W2019359383","doi":"https://doi.org/10.1109/mlsp.2015.7324333","title":"Multiview classification of brain data through tensor factorisation","display_name":"Multiview classification of brain data through tensor factorisation","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2019359383","doi":"https://doi.org/10.1109/mlsp.2015.7324333","mag":"2019359383"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2015.7324333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5041895325","display_name":"Loukianos Spyrou","orcid":"https://orcid.org/0000-0002-6150-5067"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Loukianos Spyrou","raw_affiliation_strings":["Department of Computing, University of Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008431949","display_name":"Samaneh Kouchaki","orcid":"https://orcid.org/0000-0002-5870-4030"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samaneh Kouchaki","raw_affiliation_strings":["Department of Computing, University of Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004587843","display_name":"Saeid Sanei","orcid":"https://orcid.org/0000-0002-1446-5744"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saeid Sanei","raw_affiliation_strings":["Department of Computing, University of Surrey, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Surrey, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041895325"],"corresponding_institution_ids":["https://openalex.org/I28290843"],"apc_list":null,"apc_paid":null,"fwci":0.4698,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.57943925,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9740999937057495,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9146000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7347489595413208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337893009185791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165187954902649},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6087689399719238},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5421373248100281},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4997396469116211},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48102933168411255},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4783846139907837},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44407832622528076},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43110254406929016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24616295099258423},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07723382115364075}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7347489595413208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337893009185791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165187954902649},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6087689399719238},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5421373248100281},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4997396469116211},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48102933168411255},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4783846139907837},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44407832622528076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43110254406929016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24616295099258423},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07723382115364075},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mlsp.2015.7324333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11139284510002346","is_oa":false,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&amp;SrcApp=PARTNER_APP&amp;SrcAuth=LinksAMR&amp;KeyUT=WOS:000380402700021&amp;DestLinkType=FullRecord&amp;DestApp=ALL_WOS&amp;UsrCustomerID=11d2a86992e85fb529977dad66a846d5","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"event"},{"id":"pmh:oai:epubs.surrey.ac.uk:840289","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/840289/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2084469647","display_name":null,"funder_award_id":"EP/K005510/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1529395041","https://openalex.org/W1991042426","https://openalex.org/W1998523455","https://openalex.org/W2024165284","https://openalex.org/W2093792557","https://openalex.org/W2096578014","https://openalex.org/W2099490015","https://openalex.org/W2113451446","https://openalex.org/W2155806188"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W2032664813","https://openalex.org/W4248700453"],"abstract_inverted_index":{"Brain":[0],"signals":[1],"arise":[2],"as":[3],"a":[4,37,44,64,99],"mixture":[5],"of":[6,39,46,66,88,110,124],"various":[7,81],"neural":[8],"processes":[9],"that":[10,25,70],"occur":[11],"in":[12,98],"different":[13],"spatial,":[14,127],"frequency":[15,59,130],"and":[16,49,58,91,102,136],"temporal":[17,128],"locations.":[18],"In":[19,29],"detection":[20],"paradigms,":[21],"algorithms":[22],"are":[23,71,95],"developed":[24],"target":[26],"specific":[27],"processes.":[28],"this":[30],"work,":[31],"we":[32],"apply":[33],"tensor":[34],"factorisation":[35],"to":[36,85,105],"set":[38],"intracranial":[40],"electroencephalography":[41],"data":[42,52],"from":[43],"group":[45],"epileptic":[47],"patients":[48],"factorise":[50],"the":[51,74,107,121,125],"into":[53],"three":[54],"modes;":[55],"space,":[56],"time":[57],"with":[60],"each":[61,111],"mode":[62],"containing":[63],"number":[65],"components":[67],"or":[68,129],"signatures":[69,131],"common":[72],"between":[73],"subjects.":[75],"We":[76],"train":[77],"separate":[78],"classifiers":[79,94],"on":[80,113,120],"feature":[82],"sets":[83],"corresponding":[84],"complementary":[86],"combinations":[87],"those":[89],"modes":[90],"components.":[92],"These":[93],"then":[96,133],"combined":[97],"leave-subject-out":[100],"fashion":[101],"subsequently":[103],"used":[104],"estimate":[106],"classification":[108,122],"accuracy":[109,123],"combination":[112],"left-out":[114],"subjects'":[115],"data.":[116],"The":[117],"relative":[118],"influence":[119],"respective":[126],"can":[132,139],"be":[134,140],"analysed":[135],"useful":[137],"interpretations":[138],"made.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"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":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
