Learning Complex Crowdsourcing Task Allocation Strategies from Humans-Reference-Cited by-同舟云学术

Learning Complex Crowdsourcing Task Allocation Strategies from Humans

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Crowd Science and Engineering - ICCSE'17
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Author:

Cui Lizhen¹,Zhao Xudong¹,Liu Lei¹,Yu Han²,Miao Yuan³

Affiliation:

1. Shandong University, Jinan, China

2. Nanyang Technological University, Singapore

3. Victoria University, Australia

Publisher

ACM Press

Reference21 articles.

1. Anna Aljanaki, Frans Wiering, and Remco C Veltkamp. 2016. Studying emotion induced by music through a crowdsourcing game. Information Processing & Management 52, 1 (2016), 115--128.

2. Ken Chen, Shoujian Yang, and Celal Batur. 2012. Effect of multi-hidden-layer structure on performance of BP neural network: Probe. In Proceedings of the 8th International Conference on Natural Computation (ICNC'12). 1--5.

3. Chien-Ju Ho and Jennifer Wortman Vaughan. 2012. Online Task Assignment in Crowdsourcing Markets. In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12). 45--51.

4. Srikanth Jagabathula, Lakshminarayanan Subramanian, and Ash-win Venkataraman. 2014. Reputation-based worker filtering in crowdsourcing. In Advances in Neural Information Processing Systems. 2492--2500.

5. Ritu Khare, Benjamin M Good, Robert Leaman, Andrew I Su, and Zhiyong Lu. 2015. Crowdsourcing in biomedicine: challenges and opportunities. Briefings in bioinformatics (2015), bbv021.

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