{"id":"https://openalex.org/W4365790230","doi":"https://doi.org/10.1109/tcds.2023.3267010","title":"Iterative Pseudo-Sparse Partial Least Square and Its Higher Order Variant: Application to Inference From High-Dimensional Biosignals","display_name":"Iterative Pseudo-Sparse Partial Least Square and Its Higher Order Variant: Application to Inference From High-Dimensional Biosignals","publication_year":2023,"publication_date":"2023-04-13","ids":{"openalex":"https://openalex.org/W4365790230","doi":"https://doi.org/10.1109/tcds.2023.3267010"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2023.3267010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3267010","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","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/A5043344648","display_name":"Aref Einizade","orcid":"https://orcid.org/0000-0002-8546-7261"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Aref Einizade","raw_affiliation_strings":["Electrical Engineering Department, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048845619","display_name":"Sepideh Hajipour Sardouie","orcid":"https://orcid.org/0000-0003-0594-3019"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sepideh Hajipour Sardouie","raw_affiliation_strings":["Electrical Engineering Department, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043344648"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":1.4264,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81546166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"16","issue":"1","first_page":"296","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9907000064849854,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9907000064849854,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9800000190734863,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.734039306640625},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7203972339630127},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5566952228546143},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5285362601280212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674929678440094},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4511973261833191},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44740158319473267},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4428033232688904},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.43543657660484314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4256385862827301},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.4113597869873047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40896373987197876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18280458450317383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18109670281410217}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734039306640625},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7203972339630127},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5566952228546143},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5285362601280212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674929678440094},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4511973261833191},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44740158319473267},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4428033232688904},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.43543657660484314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4256385862827301},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.4113597869873047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40896373987197876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18280458450317383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18109670281410217},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2023.3267010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3267010","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W368469426","https://openalex.org/W1967696752","https://openalex.org/W1976251851","https://openalex.org/W1980271329","https://openalex.org/W1985741088","https://openalex.org/W1987900099","https://openalex.org/W1997356788","https://openalex.org/W2005490094","https://openalex.org/W2008114373","https://openalex.org/W2012687895","https://openalex.org/W2012799355","https://openalex.org/W2016210396","https://openalex.org/W2025603201","https://openalex.org/W2060538947","https://openalex.org/W2061070863","https://openalex.org/W2063978378","https://openalex.org/W2135046866","https://openalex.org/W2139269942","https://openalex.org/W2156755871","https://openalex.org/W2158863190","https://openalex.org/W2170917242","https://openalex.org/W2192327093","https://openalex.org/W2407714152","https://openalex.org/W2466831271","https://openalex.org/W2469230926","https://openalex.org/W2490662969","https://openalex.org/W2588967154","https://openalex.org/W2592708468","https://openalex.org/W2621202726","https://openalex.org/W2765239283","https://openalex.org/W2768829930","https://openalex.org/W2787894218","https://openalex.org/W2793119956","https://openalex.org/W2945315609","https://openalex.org/W2978141451","https://openalex.org/W3008936298","https://openalex.org/W3014797134","https://openalex.org/W3027507201","https://openalex.org/W3081381015","https://openalex.org/W3162159851","https://openalex.org/W3209490888","https://openalex.org/W3210448489","https://openalex.org/W4256202811","https://openalex.org/W6680508596"],"related_works":["https://openalex.org/W4220972140","https://openalex.org/W3161120485","https://openalex.org/W2098373948","https://openalex.org/W1534867933","https://openalex.org/W2587713090","https://openalex.org/W2963141266","https://openalex.org/W2896393657","https://openalex.org/W2090610152","https://openalex.org/W2744712844","https://openalex.org/W4310719664"],"abstract_inverted_index":{"Partial":[0],"least":[1],"square":[2],"(PLS)":[3],"regression":[4,96,127],"and":[5,26,73,154,185],"its":[6],"(L1":[7],"or":[8,60],"L2":[9],"norm)":[10],"regularized":[11,192],"versions":[12],"have":[13],"been":[14],"proposed":[15,82,120],"to":[16,51,89,189],"handle":[17],"the":[18,22,34,38,42,55,86,91,95,109,116,119,131,145,159,163,175,182,190],"high-dimensionality":[19,126],"aspects":[20],"of":[21,36,45,94,118,129,133,144,158],"problem":[23,59],"at":[24],"hand":[25],"select":[27],"relevant":[28],"features.":[29],"Addressing":[30],"these":[31,81],"issues":[32],"improves":[33],"generalizability":[35],"decoding":[37,141,157],"unseen":[39],"data,":[40],"with":[41],"severe":[43],"challenge":[44],"high":[46],"computational":[47],"complexity.":[48],"In":[49,80],"order":[50,77],"avoid":[52],"directly":[53],"solving":[54],"L1":[56,92],"norm":[57,93],"optimization":[58],"performing":[61],"matrix":[62],"inversion,":[63],"this":[64],"article":[65],"proposes":[66],"two":[67],"PLS-based":[68],"algorithms,":[69],"pseudo-sparse":[70,75],"PLS":[71,78,193],"(PS-PLS)":[72],"iterative":[74],"higher":[76],"(iPS-HOPLS).":[79],"methods,":[83,121],"we":[84,122],"add":[85],"Pseudo-Sparsity":[87],"term":[88],"reduce":[90],"coefficient":[97],"vector":[98],"in":[99],"a":[100],"selective":[101],"scheme":[102],"for":[103],"better":[104],"importance":[105],"interpretation":[106],"while":[107],"keeping":[108],"algorithm":[110],"as":[111,113,171],"simple":[112],"possible.":[114],"Regarding":[115],"evaluation":[117],"investigate":[123],"three":[124],"critical":[125],"problems":[128],"1)":[130],"prediction":[132],"3-D":[134],"trajectory":[135],"from":[136,149,162],"electrocorticography":[137],"(ECoG)":[138],"recordings,":[139],"2)":[140],"continuous":[142,156],"fluctuation":[143],"electromyography":[146],"(EMG)":[147],"powers":[148],"recorded":[150],"magnetoencephalography":[151],"(MEG)":[152],"signals,":[153],"3)":[155],"finger":[160],"forces":[161],"high-density":[164],"surface":[165],"electromyogram":[166],"(HD-sEMG)":[167],"signals.":[168],"As":[169],"well":[170],"providing":[172],"cognitive-relevant":[173],"interpretations,":[174],"experimental":[176],"results":[177],"show":[178],"significant":[179],"improvements":[180],"over":[181],"generic":[183],"methods":[184],"competitive":[186],"performance":[187],"compared":[188],"state-of-the-art":[191],"approaches.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
