{"id":"https://openalex.org/W3161325005","doi":"https://doi.org/10.1109/icassp39728.2021.9414342","title":"EEG-Based Emotion Classification Using Graph Signal Processing","display_name":"EEG-Based Emotion Classification Using Graph Signal Processing","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161325005","doi":"https://doi.org/10.1109/icassp39728.2021.9414342","mag":"3161325005"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5075498431","display_name":"Seyed Saman Saboksayr","orcid":"https://orcid.org/0000-0002-8074-2228"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyed Saman Saboksayr","raw_affiliation_strings":["University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mujdat Cetin","raw_affiliation_strings":["University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA","Goergen Institute for Data Science, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Goergen Institute for Data Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":2.3058,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8810557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1065","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9975000023841858,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9952999949455261,"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/discriminative-model","display_name":"Discriminative model","score":0.7649763226509094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616735458374023},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5801434516906738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48716089129447937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4680803716182709},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.44842061400413513},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43993744254112244},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4310660660266876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.351458877325058},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2517630457878113},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1327292025089264}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7649763226509094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616735458374023},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5801434516906738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48716089129447937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4680803716182709},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.44842061400413513},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43993744254112244},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4310660660266876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.351458877325058},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2517630457878113},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1327292025089264},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1922442141","https://openalex.org/W1974828111","https://openalex.org/W2002055708","https://openalex.org/W2075126953","https://openalex.org/W2092420213","https://openalex.org/W2101491865","https://openalex.org/W2109773980","https://openalex.org/W2132555912","https://openalex.org/W2140617940","https://openalex.org/W2147835548","https://openalex.org/W2160660350","https://openalex.org/W2188600900","https://openalex.org/W2294644361","https://openalex.org/W2585019672","https://openalex.org/W2605367287","https://openalex.org/W2679590114","https://openalex.org/W2787894218","https://openalex.org/W2796431263","https://openalex.org/W2806008205","https://openalex.org/W2938493800","https://openalex.org/W2959406683","https://openalex.org/W2962905870","https://openalex.org/W2964012239","https://openalex.org/W2994097903","https://openalex.org/W3006673474","https://openalex.org/W4242687562","https://openalex.org/W4250657332","https://openalex.org/W4292333043","https://openalex.org/W6689213722"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2735297260"],"abstract_inverted_index":{"The":[0,10,128],"key":[1],"role":[2],"of":[3,12,27,48,59,77,98,143,160],"emotions":[4],"in":[5],"human":[6],"life":[7],"is":[8,24,56],"undeniable.":[9],"question":[11],"whether":[13],"there":[14,68,100],"exists":[15,69,101],"a":[16,21,81,102],"brain":[17,53],"pattern":[18],"associated":[19],"with":[20],"specific":[22],"emotion":[23,50,144,154],"the":[25,46,75,110,141,147,158],"theme":[26],"many":[28],"affective":[29],"neuroscience":[30],"studies.":[31],"In":[32],"this":[33],"work,":[34],"we":[35,79,93,108],"bring":[36],"to":[37,44,64],"bear":[38],"graph":[39,105,119],"signal":[40,61],"processing":[41,62],"(GSP)":[42],"techniques":[43],"tackle":[45],"problem":[47],"automatic":[49],"recognition":[51,155],"using":[52],"signals.":[54],"GSP":[55],"an":[57,70,151],"extension":[58],"classical":[60],"methods":[63],"complex":[65],"networks":[66],"where":[67],"inherent":[71],"relation":[72],"graph.":[73],"With":[74],"help":[76],"GSP,":[78],"propose":[80],"new":[82],"framework":[83,162],"for":[84,95,140],"learning":[85],"class-specific":[86,117,130],"discriminative":[87],"graphs.":[88,127],"To":[89],"that":[90],"end,":[91],"firstly":[92],"assume":[94],"each":[96],"class":[97],"observations":[99,111],"latent":[103],"underlying":[104],"representation.":[106],"Secondly,":[107],"consider":[109],"are":[112,122],"smooth":[113],"on":[114,124,150],"their":[115],"corresponding":[116],"sough":[118],"while":[120],"they":[121],"non-smooth":[123],"other":[125,164],"classes\u2019":[126],"learned":[129],"graph-based":[131],"representations":[132],"can":[133],"act":[134],"as":[135],"sub-dictionaries":[136],"and":[137],"be":[138],"utilized":[139],"task":[142],"classification.":[145],"Applying":[146],"proposed":[148],"method":[149],"electroencephalogram":[152],"(EEG)":[153],"dataset":[156],"indicates":[157],"superiority":[159],"our":[161],"over":[163],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}
