{"id":"https://openalex.org/W4405362978","doi":"https://doi.org/10.1109/icfsp62546.2024.10785500","title":"Graph-Aided Multivariate Signal Decomposition","display_name":"Graph-Aided Multivariate Signal Decomposition","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4405362978","doi":"https://doi.org/10.1109/icfsp62546.2024.10785500"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp62546.2024.10785500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp62546.2024.10785500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.scopus.com/pages/publications/85215708310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027516324","display_name":"Mojtaba Nazari","orcid":"https://orcid.org/0000-0003-4937-302X"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Mojtaba Nazari","raw_affiliation_strings":["Aarhus University,Electrical and Computer Engineering,Aarhus,Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University,Electrical and Computer Engineering,Aarhus,Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115429252","display_name":"Anders Rosendal Korsh\u2298j","orcid":null},"institutions":[{"id":"https://openalex.org/I2802335433","display_name":"Aarhus University Hospital","ror":"https://ror.org/040r8fr65","country_code":"DK","type":"healthcare","lineage":["https://openalex.org/I2802335433"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Anders Rosendal Korsh\u2298j","raw_affiliation_strings":["Aarhus University Hospital,Neurosurgery"],"affiliations":[{"raw_affiliation_string":"Aarhus University Hospital,Neurosurgery","institution_ids":["https://openalex.org/I2802335433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054557758","display_name":"Naveed ur Rehman","orcid":"https://orcid.org/0000-0002-3700-5839"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Naveed ur Rehman","raw_affiliation_strings":["Aarhus University,Electrical and Computer Engineering,Aarhus,Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University,Electrical and Computer Engineering,Aarhus,Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027516324"],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20482626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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/T10057","display_name":"Face and Expression Recognition","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.6942949295043945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.618621826171875},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5091585516929626},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4796607792377472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34710991382598877},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18173500895500183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14173418283462524},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09601527452468872}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6942949295043945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.618621826171875},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5091585516929626},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4796607792377472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34710991382598877},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18173500895500183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14173418283462524},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09601527452468872},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icfsp62546.2024.10785500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp62546.2024.10785500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/fbde3194-17e7-4368-9424-d4cd91ad71d2","is_oa":true,"landing_page_url":"https://www.scopus.com/pages/publications/85215708310","pdf_url":null,"source":{"id":"https://openalex.org/S4306400063","display_name":"Scopus (Elsevier)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nazari, M, Korshoej, A R & Rehman, N U 2024, Graph-Aided Multivariate Signal Decomposition. in International Conference on Frontiers of Signal Processing (ICFSP). pp. 169-173, 2024 9th International Conference on Frontiers of Signal Processing (ICFSP), Paris, France, 12/09/2024. https://doi.org/10.1109/ICFSP62546.2024.10785500","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/fbde3194-17e7-4368-9424-d4cd91ad71d2","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/fbde3194-17e7-4368-9424-d4cd91ad71d2","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nazari, M, Korshoej, A R & Rehman, N U 2024, Graph-Aided Multivariate Signal Decomposition. in International Conference on Frontiers of Signal Processing (ICFSP). pp. 169-173, 2024 9th International Conference on Frontiers of Signal Processing (ICFSP), Paris, France, 12/09/2024. https://doi.org/10.1109/ICFSP62546.2024.10785500","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/fbde3194-17e7-4368-9424-d4cd91ad71d2","is_oa":true,"landing_page_url":"https://www.scopus.com/pages/publications/85215708310","pdf_url":null,"source":{"id":"https://openalex.org/S4306400063","display_name":"Scopus (Elsevier)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nazari, M, Korshoej, A R & Rehman, N U 2024, Graph-Aided Multivariate Signal Decomposition. in International Conference on Frontiers of Signal Processing (ICFSP). pp. 169-173, 2024 9th International Conference on Frontiers of Signal Processing (ICFSP), Paris, France, 12/09/2024. https://doi.org/10.1109/ICFSP62546.2024.10785500","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1922442141","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2016423476","https://openalex.org/W2028479713","https://openalex.org/W2123563890","https://openalex.org/W2124698428","https://openalex.org/W2182708456","https://openalex.org/W2585019672","https://openalex.org/W2734408317","https://openalex.org/W2796431263","https://openalex.org/W2958872067","https://openalex.org/W2969594785","https://openalex.org/W2974767112","https://openalex.org/W3020865293","https://openalex.org/W3167351815","https://openalex.org/W3195802187","https://openalex.org/W4226124542","https://openalex.org/W4294051572","https://openalex.org/W4315589172","https://openalex.org/W4395956794"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,34,52,56,63,105,112,120],"challenge":[4],"of":[5,55,59,111,114,119],"decomposing":[6],"time-varying":[7,94],"graph":[8,26,35],"signals":[9],"into":[10],"their":[11,19],"constituent":[12],"amplitude-":[13],"and":[14,48,80,97,127],"frequency-modulated":[15],"components":[16,115],"while":[17],"inferring":[18],"dynamic":[20,76],"functional":[21],"connectivity":[22,42,78],"structures,":[23,43],"known":[24],"as":[25],"mode":[27],"decomposition":[28],"(GMD).":[29],"The":[30,83,117],"existing":[31,60],"method":[32,70,121],"within":[33],"signal":[36,64],"processing":[37],"(GSP)":[38],"framework":[39],"yields":[40],"static":[41],"limiting":[44],"its":[45],"real-life":[46],"applicability":[47],"relying":[49],"heavily":[50],"on":[51,124],"user-defined":[53],"parameter":[54],"total":[57],"number":[58,113],"modes":[61],"in":[62],"K.":[65,116],"We":[66],"present":[67],"a":[68,86,91,99,108],"novel":[69],"to":[71],"overcome":[72],"these":[73],"limitations,":[74],"offering":[75],"multi-scale":[77],"structures":[79],"amplitude-frequency":[81],"components.":[82],"approach":[84],"formulates":[85],"variational":[87],"optimization":[88],"problem,":[89],"integrating":[90],"prior":[92],"for":[93,102,107],"edge":[95],"weights,":[96],"employs":[98],"successive":[100],"scheme":[101],"optimization,":[103],"eliminating":[104],"need":[106],"priori":[109],"specification":[110],"performance":[118],"is":[122],"validated":[123],"both":[125],"synthetic":[126],"real":[128],"datasets.":[129]},"counts_by_year":[],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}