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dc.contributor.authorRingeval, Fabien
dc.contributor.authorSchuller, Bjoern
dc.contributor.authorValstar, Michel
dc.contributor.authorCowie, Roddy
dc.contributor.authorKaya, Heysem
dc.contributor.authorSchmitt, Maximilian
dc.contributor.authorPantic, Maja
dc.date.accessioned2022-05-11T14:15:52Z
dc.date.available2022-05-11T14:15:52Z
dc.date.issued2018
dc.identifier.isbn978-1-4503-5983-2
dc.identifier.urihttps://doi.org/10.1145/3266302.3266316
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6103
dc.description8th Workshop on Audio-Visual Emotion Challenge (AVEC) -- OCT 22, 2018 -- Seoul, SOUTH KOREAen_US
dc.description.abstractThe Audio/Visual Emotion Challenge and Workshop (AVEC 2018) Bipolar disorder, and cross-cultural affect recognition is the eighth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of various approaches to health and emotion recognition from real-life data. This paper presents the major novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline systems on the three proposed tasks: bipolar disorder classification, cross-cultural dimensional emotion recognition, and emotional label generation from individual ratings, respectively.en_US
dc.description.sponsorshipAssoc Comp Machinery, ACM SIGMMen_US
dc.description.sponsorshipEU 7th Framework Programme through the ERC [338164]; Horizon 2020 Programme through the Innovation Action [645094]; Horizon 2020 Programme through the Research Innovation Action [645378, 688835]; University of Fribourg, Switzerlanden_US
dc.description.sponsorshipThe research leading to these results has received funding from the EU 7th Framework Programme through the ERC Starting Grant No. 338164 (iHEARu), the Horizon 2020 Programme through the Innovation Action No. 645094 (SEWA), and the Research Innovation Action No. 645378 (ARIA-VALUSPA), and No. 688835 (DE-ENIGMA), and from the University of Fribourg, Switzerland, through the commercial licenses of the RECOLA project. The authors further thank the sponsors of the challenge - audEERING GmbH and the Association for the Advancement of Affective Computing (AAAC).en_US
dc.language.isoengen_US
dc.publisherAssoc Computing Machineryen_US
dc.identifier.doi10.1145/3266302.3266316
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAffective Computingen_US
dc.subjectBipolar Disorderen_US
dc.subjectCross-Cultural Emotionen_US
dc.subjectFacial Expressionen_US
dc.subjectEmotionen_US
dc.subjectClassificationen_US
dc.subjectFusionen_US
dc.titleAVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognitionen_US
dc.typeproceedingPaperen_US
dc.relation.ispartofProceedings of the 2018 Audio/Visual Emotion Challenge and Workshop (Avec'18)en_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.authorid0000-0001-6342-428X
dc.authorid0000-0002-9227-9373
dc.authorid0000-0001-7453-5612
dc.authorid0000-0002-1129-8223
dc.authorid0000-0002-1178-917X
dc.authorid0000-0001-7947-5508
dc.authorid0000-0002-6478-8699
dc.identifier.startpage3en_US
dc.identifier.endpage13en_US
dc.institutionauthorKaya, Heysem
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid25960335900
dc.authorscopusid25721711400
dc.authorscopusid56964296000
dc.authorscopusid57205022168
dc.authorscopusid6603767415
dc.authorscopusid36241785000
dc.authorscopusid55350497300
dc.authorwosidSalah, Albert Ali/ABH-5561-2020
dc.authorwosidGüleç, Hüseyin/C-1445-2010
dc.authorwosidAmiriparian, Shahin/AFN-4830-2022
dc.authorwosidSchmitt, Maximilian/ABD-4551-2020
dc.authorwosidCummins, Nicholas/AAC-6431-2019
dc.authorwosidCiftci, Elvan/AAV-6435-2020
dc.identifier.wosWOS:000458567200002en_US
dc.identifier.scopus2-s2.0-85058347971en_US


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