Publication:
An efficient model-level fusion approach for continuous affect recognition from audiovisual signals
Date
| dc.contributor.author | Pei, Ercheng | |
| dc.contributor.author | Jiang, Dongmei | |
| dc.contributor.author | Sahli, Hichem | |
| dc.contributor.imecauthor | Sahli, Hichem | |
| dc.date.accessioned | 2021-10-29T01:58:41Z | |
| dc.date.available | 2021-10-29T01:58:41Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 0925-2312 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/35719 | |
| dc.identifier.url | https://doi.org/10.1016/j.neucom.2019.09.037 | |
| dc.source.beginpage | 42 | |
| dc.source.endpage | 53 | |
| dc.source.journal | Neurocomputing | |
| dc.source.volume | 376 | |
| dc.title | An efficient model-level fusion approach for continuous affect recognition from audiovisual signals | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | ||
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