Name
Abstract | ||
|---|---|---|
Crowdsourcing is a popular approach to collect annotations for unlabeled data instances. It involves collecting a large number of annotations from several, often naive untrained annotators for each data instance which are then combined to estimate the ground truth. Further, annotations for constructs such as affect are often multi-dimensional with annotators rating multiple dimensions, such as val... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TAFFC.2020.3006418 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Annotations,Task analysis,Predictive models,Time series analysis,Mathematical model,Computational modeling | Journal | 13 |
Issue | ISSN | Citations |
1 | 1949-3045 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil Ramakrishna | 1 | 17 | 4.66 |
| Rahul Gupta | 2 | 92 | 18.86 |
| Narayanan Shrikanth | 3 | 5558 | 439.23 |