AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition
dc.authorid | 0000-0001-6342-428X | |
dc.authorid | 0000-0002-9227-9373 | |
dc.authorid | 0000-0001-7453-5612 | |
dc.authorid | 0000-0002-1129-8223 | |
dc.authorid | 0000-0002-1178-917X | |
dc.authorid | 0000-0001-7947-5508 | |
dc.authorid | 0000-0002-6478-8699 | |
dc.authorscopusid | 25960335900 | |
dc.authorscopusid | 25721711400 | |
dc.authorscopusid | 56964296000 | |
dc.authorscopusid | 57205022168 | |
dc.authorscopusid | 6603767415 | |
dc.authorscopusid | 36241785000 | |
dc.authorscopusid | 55350497300 | |
dc.authorwosid | Salah, Albert Ali/ABH-5561-2020 | |
dc.authorwosid | Güleç, Hüseyin/C-1445-2010 | |
dc.authorwosid | Amiriparian, Shahin/AFN-4830-2022 | |
dc.authorwosid | Schmitt, Maximilian/ABD-4551-2020 | |
dc.authorwosid | Cummins, Nicholas/AAC-6431-2019 | |
dc.authorwosid | Ciftci, Elvan/AAV-6435-2020 | |
dc.contributor.author | Ringeval, Fabien | |
dc.contributor.author | Schuller, Bjoern | |
dc.contributor.author | Valstar, Michel | |
dc.contributor.author | Cowie, Roddy | |
dc.contributor.author | Kaya, Heysem | |
dc.contributor.author | Schmitt, Maximilian | |
dc.contributor.author | Pantic, Maja | |
dc.date.accessioned | 2022-05-11T14:15:52Z | |
dc.date.available | 2022-05-11T14:15:52Z | |
dc.date.issued | 2018 | |
dc.department | Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | |
dc.description | 8th Workshop on Audio-Visual Emotion Challenge (AVEC) -- OCT 22, 2018 -- Seoul, SOUTH KOREA | |
dc.description.abstract | The 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. | |
dc.description.sponsorship | Assoc Comp Machinery, ACM SIGMM | |
dc.description.sponsorship | EU 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, Switzerland | |
dc.description.sponsorship | The 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). | |
dc.identifier.doi | 10.1145/3266302.3266316 | |
dc.identifier.endpage | 13 | |
dc.identifier.isbn | 978-1-4503-5983-2 | |
dc.identifier.scopus | 2-s2.0-85058347971 | |
dc.identifier.startpage | 3 | |
dc.identifier.uri | https://doi.org/10.1145/3266302.3266316 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11776/6103 | |
dc.identifier.wos | WOS:000458567200002 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Kaya, Heysem | |
dc.language.iso | en | |
dc.publisher | Assoc Computing Machinery | |
dc.relation.ispartof | Proceedings of the 2018 Audio/Visual Emotion Challenge and Workshop (Avec'18) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | Affective Computing | |
dc.subject | Bipolar Disorder | |
dc.subject | Cross-Cultural Emotion | |
dc.subject | Facial Expression | |
dc.subject | Emotion | |
dc.subject | Classification | |
dc.subject | Fusion | |
dc.title | AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition | |
dc.type | Conference Object |
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