Name
Abstract | ||
|---|---|---|
Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emotion into tractable computational models. To address this, we propose a probabilistic programming approach to affective computing, which models psychological-grounded theories as generative models of emotion, and implemen... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAFFC.2019.2905211 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Computational modeling,Probabilistic logic,Programming,Object oriented modeling,Cognition,Psychology,Affective computing | Journal | 12 |
Issue | ISSN | Citations |
2 | 1949-3045 | 2 |
PageRank | References | Authors |
0.38 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Desmond Ong | 1 | 10 | 5.23 |
| Harold Soh | 2 | 90 | 17.53 |
| Jamil Zaki | 3 | 35 | 6.54 |
| Goodman, Noah | 4 | 947 | 106.60 |