Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9640-7_4
Reference16 articles.
1. Chen, J., Wang, C., Bai, Y.: CrowdMR: integrating crowdsourcing with mapreduce for AI-hard problems. In: Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)
2. Dai, P., Lin, C.H., Mausam, Weld, D.S.: POMDP-based control of workflows for crowdsourcing. Artif. Intell. 202, 52–85 (2013)
3. Dai, P., Lin, C.H., Weld, D.S., et al.: POMDP-based control of workflows for crowdsourcing. Artif. Intell. 202, 52–85 (2013)
4. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255. IEEE (2009)
5. Fang, Y., Sun, H., Li, G., Zhang, R., Huai, J.: Context-aware result inference in crowdsourcing. Inf. Sci. 460, 346–363 (2018)
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