{"id":"https://openalex.org/W2984340497","doi":"https://doi.org/10.23919/eusipco.2019.8903169","title":"Deep Ll-PCA of Time-Variant Data with Application to Brain Connectivity Measurements","display_name":"Deep Ll-PCA of Time-Variant Data with Application to Brain Connectivity Measurements","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984340497","doi":"https://doi.org/10.23919/eusipco.2019.8903169","mag":"2984340497"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903169","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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/A5053761898","display_name":"Giovanna Orru","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanna Orru","raw_affiliation_strings":["Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019814927","display_name":"Tiziana Cattai","orcid":"https://orcid.org/0000-0002-6128-2246"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tiziana Cattai","raw_affiliation_strings":["Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037476254","display_name":"Stefania Colonnese","orcid":"https://orcid.org/0000-0002-1807-2155"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Colonnese","raw_affiliation_strings":["Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053640493","display_name":"Gaetano Scarano","orcid":"https://orcid.org/0000-0002-1120-707X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Scarano","raw_affiliation_strings":["Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089157446","display_name":"Fabrizio De Vico Fallani","orcid":"https://orcid.org/0000-0001-8035-7883"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrizio De Vico Fallani","raw_affiliation_strings":["Inria Paris, Paris, France"],"affiliations":[{"raw_affiliation_string":"Inria Paris, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos Markopoulos","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052953883","display_name":"Dimitris A. Pados","orcid":"https://orcid.org/0000-0001-8959-6450"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Pados","raw_affiliation_strings":["Dept. of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053761898"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46256291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","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/T10860","display_name":"Speech and Audio Processing","score":0.998199999332428,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8861966133117676},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7940598726272583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622546315193176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485736966133118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6327115297317505},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5863701701164246},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5424942970275879},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5364385843276978},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.41143715381622314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3577239513397217}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8861966133117676},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7940598726272583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622546315193176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485736966133118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6327115297317505},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5863701701164246},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5424942970275879},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5364385843276978},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.41143715381622314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3577239513397217}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8903169","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1443500","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1443500","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1996021349","https://openalex.org/W2024165284","https://openalex.org/W2034139177","https://openalex.org/W2119412403","https://openalex.org/W2128404967","https://openalex.org/W2128424176","https://openalex.org/W2529352582","https://openalex.org/W2894994225"],"related_works":["https://openalex.org/W3037121946","https://openalex.org/W2991135868","https://openalex.org/W301426590","https://openalex.org/W1975900269","https://openalex.org/W4387454008","https://openalex.org/W4283792950","https://openalex.org/W2976999964","https://openalex.org/W3124370832","https://openalex.org/W2124460284","https://openalex.org/W3003801099"],"abstract_inverted_index":{"Ll-Principal":[0],"Component":[1],"Analysis":[2],"(LI-PCA)":[3],"is":[4,65,87,129],"a":[5,50,153],"powerful":[6,32],"computational":[7,155],"tool":[8],"to":[9,29,35,55,59,89,135,146],"identify":[10],"relevant":[11,97,149],"components":[12],"in":[13,40],"data":[14,119],"affected":[15],"by":[16,67],"noise,":[17],"outliers,":[18,100],"partial":[19],"disruption":[20],"and":[21,77,94,102,125],"so":[22],"on.":[23],"Relevant":[24],"efforts":[25],"have":[26],"been":[27],"made":[28],"adapt":[30],"its":[31],"summarization":[33],"capacity":[34],"time":[36],"variant":[37],"data,":[38],"e.g.":[39],"tracking":[41],"the":[42,80,113,118,122,126,148],"evolution":[43],"of":[44,53,70,74,79,112,139],"LI-PCA":[45,64,75,86,133],"components.":[46,104],"Here,":[47],"we":[48,57],"analyze":[49],"layered":[51],"version":[52],"LI-PCA,":[54],"which":[56],"refer":[58],"as":[60,143,145],"Deep":[61,63,85,132],"LI-PCA.":[62],"obtained":[66],"recursive":[68],"application":[69],"two":[71],"stages:":[72],"estimation":[73],"basis":[76],"extraction":[78],"first":[81],"rank":[82],"projector.":[83],"The":[84,131],"applied":[88,120],"repeated":[90],"EEG":[91],"connectivity":[92],"measures":[93],"it":[95],"proves":[96],"for":[98],"identifying":[99],"changes,":[101],"stable":[103],"Moreover,":[105],"at":[106,121,152],"each":[107],"layer,":[108],"an":[109],"in-depth":[110],"analysis":[111],"mean":[114],"square":[115],"error":[116],"between":[117],"input":[123],"layer":[124],"output":[127],"projector":[128],"provided.":[130],"allows":[134],"cope":[136],"with":[137],"outliers":[138],"different":[140],"temporal":[141],"extent":[142],"well":[144],"extract":[147],"common":[150],"component":[151],"reduced":[154],"cost.":[156]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-22T00:00:00"}