{"id":"https://openalex.org/W4388789757","doi":"https://doi.org/10.1109/acii59096.2023.10388079","title":"Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition","display_name":"Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition","publication_year":2023,"publication_date":"2023-09-10","ids":{"openalex":"https://openalex.org/W4388789757","doi":"https://doi.org/10.1109/acii59096.2023.10388079"},"language":"en","primary_location":{"id":"doi:10.1109/acii59096.2023.10388079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii59096.2023.10388079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.10119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040777200","display_name":"Juan Vazquez-Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Juan Vazquez-Rodriguez","raw_affiliation_strings":["Orange Innovation, Univ. Grenoble Alpes,Grenoble,France","Orange Innovation, Univ. Grenoble Alpes, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Innovation, Univ. Grenoble Alpes,Grenoble,France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Orange Innovation, Univ. Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016815138","display_name":"Gr\u00e9goire Lefebvre","orcid":"https://orcid.org/0000-0002-1325-3010"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gr\u00e9goire Lefebvre","raw_affiliation_strings":["Orange Innovation,Grenoble,France","Orange Innovation, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Innovation,Grenoble,France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Innovation, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061520351","display_name":"Julien Cumin","orcid":"https://orcid.org/0000-0001-8846-5547"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Cumin","raw_affiliation_strings":["Orange Innovation,Grenoble,France","Orange Innovation, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange Innovation,Grenoble,France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Innovation, Grenoble, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101989446","display_name":"James L. Crowley","orcid":"https://orcid.org/0000-0001-7730-8968"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"James L. Crowley","raw_affiliation_strings":["Univ. Grenoble Alpes,CNRS, Grenoble INP, LIG,Grenoble,France","CNRS, Grenoble INP, LIG, Univ. Grenoble Alpes, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes,CNRS, Grenoble INP, LIG,Grenoble,France","institution_ids":["https://openalex.org/I4210104430","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]},{"raw_affiliation_string":"CNRS, Grenoble INP, LIG, Univ. Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I4210104430","https://openalex.org/I1294671590","https://openalex.org/I899635006","https://openalex.org/I106785703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4678,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68471045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9854999780654907,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.8842512965202332},{"id":"https://openalex.org/keywords/concordance-correlation-coefficient","display_name":"Concordance correlation coefficient","score":0.7555274367332458},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7144813537597656},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6961370706558228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622742772102356},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5170734524726868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4957748353481293},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.46052202582359314},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44495266675949097},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4149516522884369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3977999687194824},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36969879269599915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34722471237182617},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.33599287271499634},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21801277995109558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1272093653678894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09620651602745056},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09213072061538696},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07780781388282776}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8842512965202332},{"id":"https://openalex.org/C2781059462","wikidata":"https://www.wikidata.org/wiki/Q5158906","display_name":"Concordance correlation coefficient","level":2,"score":0.7555274367332458},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7144813537597656},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6961370706558228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622742772102356},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5170734524726868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957748353481293},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.46052202582359314},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44495266675949097},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4149516522884369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3977999687194824},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36969879269599915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34722471237182617},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.33599287271499634},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21801277995109558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1272093653678894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09620651602745056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09213072061538696},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07780781388282776},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/acii59096.2023.10388079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii59096.2023.10388079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2311.10119","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.10119","pdf_url":"https://arxiv.org/pdf/2311.10119","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:HAL:hal-04287765v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04287765","pdf_url":"https://hal.science/hal-04287765/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"Affective Computing and Intelligent Interaction (ACII), Sep 2023, Cambridge (MA), United States","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.10119","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.10119","pdf_url":"https://arxiv.org/pdf/2311.10119","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1041279674","display_name":"MIAI @ Grenoble Alpes","funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2092057362","display_name":null,"funder_award_id":"19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388789757.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2144961120","https://openalex.org/W2313339984","https://openalex.org/W2338224285","https://openalex.org/W2792764867","https://openalex.org/W2883265831","https://openalex.org/W2962931510","https://openalex.org/W2963192057","https://openalex.org/W2964051877","https://openalex.org/W2994699296","https://openalex.org/W2997258743","https://openalex.org/W3016138882","https://openalex.org/W3043840704","https://openalex.org/W3100219394","https://openalex.org/W3114214226","https://openalex.org/W3174906557","https://openalex.org/W3175825020","https://openalex.org/W3205733239","https://openalex.org/W3206776536","https://openalex.org/W3207255821","https://openalex.org/W3207829518","https://openalex.org/W4221144400","https://openalex.org/W4224932526","https://openalex.org/W4285436126","https://openalex.org/W4287068282","https://openalex.org/W4287213038","https://openalex.org/W4292794079","https://openalex.org/W4292829028","https://openalex.org/W4297510222","https://openalex.org/W4297510501","https://openalex.org/W4297510847","https://openalex.org/W4313164293","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6749825310","https://openalex.org/W6753505025","https://openalex.org/W6797613833"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W3157616110","https://openalex.org/W2896076481","https://openalex.org/W4286692883","https://openalex.org/W4221161909"],"abstract_inverted_index":{"Decades":[0],"of":[1,52,86,92],"research":[2],"indicate":[3],"that":[4,80],"emotion":[5],"recognition":[6],"is":[7],"more":[8],"effective":[9],"when":[10,94,100],"drawing":[11],"information":[12],"from":[13],"multiple":[14],"modalities.":[15,47],"But":[16],"what":[17],"if":[18],"some":[19],"modalities":[20,61],"are":[21],"sometimes":[22],"missing?":[23],"To":[24],"address":[25],"this":[26],"problem,":[27],"we":[28],"propose":[29],"a":[30,40,50,106],"novel":[31],"Transformer-based":[32],"architecture":[33],"for":[34],"recognizing":[35],"valence":[36,102],"and":[37,54,64,98],"arousal":[38,96],"in":[39],"time-continuous":[41],"manner":[42],"even":[43],"with":[44],"missing":[45],"input":[46],"We":[48],"use":[49],"coupling":[51],"cross-attention":[53],"self-attention":[55],"mechanisms":[56],"to":[57,105],"emphasize":[58],"relationships":[59],"between":[60],"during":[62],"time":[63],"enhance":[65],"the":[66,76,87],"learning":[67],"process":[68],"on":[69,75],"weak":[70],"salient":[71],"inputs.":[72],"Experimental":[73],"results":[74],"Ulm-TSST":[77],"dataset":[78],"show":[79],"our":[81],"model":[82],"exhibits":[83],"an":[84],"improvement":[85],"concordance":[88],"correlation":[89],"coefficient":[90],"evaluation":[91],"37%":[93],"predicting":[95,101],"values":[97],"30%":[99],"values,":[103],"compared":[104],"late-fusion":[107],"baseline":[108],"approach.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
