{"id":"https://openalex.org/W4387871205","doi":"https://doi.org/10.1109/mlsp55844.2023.10285970","title":"Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection","display_name":"Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387871205","doi":"https://doi.org/10.1109/mlsp55844.2023.10285970"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd 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/A5066926841","display_name":"Lucas P. Damasceno","orcid":"https://orcid.org/0009-0007-2185-2295"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lucas P. Damasceno","raw_affiliation_strings":["Federal University of Ceará,Fortaleza-CE,Brazil,60455-760"],"affiliations":[{"raw_affiliation_string":"Federal University of Ceará,Fortaleza-CE,Brazil,60455-760","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045738573","display_name":"Egzona Rexhepi","orcid":null},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Egzona Rexhepi","raw_affiliation_strings":["American University,Washington,DC,USA,20016"],"affiliations":[{"raw_affiliation_string":"American University,Washington,DC,USA,20016","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000243854","display_name":"Allison Shafer","orcid":null},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allison Shafer","raw_affiliation_strings":["American University,Washington,DC,USA,20016"],"affiliations":[{"raw_affiliation_string":"American University,Washington,DC,USA,20016","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058098245","display_name":"Ian Whitehouse","orcid":null},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian Whitehouse","raw_affiliation_strings":["American University,Washington,DC,USA,20016"],"affiliations":[{"raw_affiliation_string":"American University,Washington,DC,USA,20016","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061118449","display_name":"Charles C. Cavalcante","orcid":"https://orcid.org/0000-0002-4198-4064"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Charles C. Cavalcante","raw_affiliation_strings":["Federal University of Ceará,Fortaleza-CE,Brazil,60455-760"],"affiliations":[{"raw_affiliation_string":"Federal University of Ceará,Fortaleza-CE,Brazil,60455-760","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010914442","display_name":"Roberto Corizzo","orcid":"https://orcid.org/0000-0001-8366-6059"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Corizzo","raw_affiliation_strings":["American University,Washington,DC,USA,20016"],"affiliations":[{"raw_affiliation_string":"American University,Washington,DC,USA,20016","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006915006","display_name":"Zois Boukouvalas","orcid":"https://orcid.org/0000-0002-5131-1891"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zois Boukouvalas","raw_affiliation_strings":["American University,Washington,DC,USA,20016"],"affiliations":[{"raw_affiliation_string":"American University,Washington,DC,USA,20016","institution_ids":["https://openalex.org/I181401687"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5066926841"],"corresponding_institution_ids":["https://openalex.org/I243754102"],"apc_list":null,"apc_paid":null,"fwci":0.6113,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66654147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9804999828338623,"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/computer-science","display_name":"Computer science","score":0.7238470315933228},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.5193151831626892},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5186237692832947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5172282457351685},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5068784356117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500741720199585},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4680250287055969},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4106653332710266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4010833203792572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3649187982082367},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2930222749710083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17103078961372375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08527788519859314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238470315933228},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.5193151831626892},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5186237692832947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5172282457351685},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5068784356117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500741720199585},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4680250287055969},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4106653332710266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4010833203792572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3649187982082367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2930222749710083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17103078961372375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08527788519859314},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1845880232","https://openalex.org/W1988780137","https://openalex.org/W1991840148","https://openalex.org/W2055637322","https://openalex.org/W2132555912","https://openalex.org/W2144935618","https://openalex.org/W2773666902","https://openalex.org/W2798136087","https://openalex.org/W2963448089","https://openalex.org/W3118110915","https://openalex.org/W3163378412","https://openalex.org/W3205149261","https://openalex.org/W4238253035","https://openalex.org/W4312845117","https://openalex.org/W4318147856","https://openalex.org/W6636510571"],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4283459170","https://openalex.org/W4220949352","https://openalex.org/W4225301003","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"The":[0,22],"analysis":[1,44],"of":[2,5,80,90,105,114,151,167],"multiple":[3],"sets":[4],"data,":[6,12],"such":[7,26,86],"as":[8,48,87],"multi-subject":[9],"or":[10,39],"multimodal":[11],"is":[13,28,92],"crucial":[14],"for":[15,33,52],"many":[16],"computer":[17],"science":[18],"and":[19,55,67,74,134,153],"engineering":[20],"problems.":[21],"primary":[23],"objective":[24],"in":[25,169],"problems":[27],"to":[29,59,69,109],"extract":[30],"relevant":[31],"features":[32,107],"machine":[34],"learning":[35,54],"tasks,":[36],"commonly":[37],"classification":[38],"detection":[40],"tasks.":[41],"Independent":[42],"vector":[43],"(IVA)":[45],"has":[46],"emerged":[47],"a":[49,136],"powerful":[50],"technique":[51],"multi-modal":[53,170],"feature":[56],"extraction":[57],"due":[58],"its":[60,155,174],"minimal":[61],"model":[62,82,128],"assumptions,":[63,83],"i.e.,":[64],"statistical":[65],"independence":[66],"ability":[68],"effectively":[70],"maximize":[71],"interactions":[72],"within":[73],"across":[75],"datasets.":[76],"Despite":[77],"the":[78,103,112,115,126,130,148,165],"appeal":[79],"minimizing":[81],"prior":[84],"knowledge,":[85],"sparse":[88,141],"associations":[89],"features,":[91],"usually":[93],"available.":[94],"Therefore,":[95],"incorporating":[96],"sparsity":[97,123],"constraints":[98,124],"into":[99,125],"IVA":[100,127,139],"can":[101],"mitigate":[102],"effects":[104],"confounding":[106],"promising":[108],"significantly":[110],"improve":[111],"utility":[113],"final":[116],"extracted":[117],"features.":[118],"This":[119],"paper":[120],"discusses":[121],"integrating":[122],"through":[129,157],"inverse":[131,142],"covariance":[132,143],"matrix":[133],"introduces":[135],"new":[137],"algorithm,":[138],"with":[140],"estimation":[144],"(IVA-SPICE).":[145],"We":[146],"present":[147],"parallel":[149],"implementation":[150],"IVA-SPICE":[152,168],"demonstrate":[154,164],"efficacy":[156],"simulations":[158],"involving":[159],"diverse":[160],"parameters.":[161],"Finally,":[162],"we":[163],"usefulness":[166],"misinformation":[171],"detection,":[172],"highlighting":[173],"practical":[175],"capabilities.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}