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Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable.

, , , , and . Int. J. Data Sci. Anal., 2 (1-2): 45-60 (2016)

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Learning a Robust Relevance Model for Search Using Kernel Methods., , , and . J. Mach. Learn. Res., (2011)Domain-Specific Web Search with Keyword Spices., , and . IEEE Trans. Knowl. Data Eng., 16 (1): 17-27 (2004)Learning an accurate entity resolution model from crowdsourced labels., , , and . ICUIMC, page 103:1-103:8. ACM, (2014)Incremental Set Recommendation Based on Class Differences., , , , and . PAKDD (1), volume 7301 of Lecture Notes in Computer Science, page 183-194. Springer, (2012)Approximate Intensional Representation of Web Search Results., , and . WISE, volume 3806 of Lecture Notes in Computer Science, page 607-608. Springer, (2005)Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning., and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 78-88. Springer, (2019)A Framework for Crowd-Based Causal Analysis of Open Data., , and . SMC, page 2188-2193. IEEE, (2018)Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs., , , , and . Expert Syst. Appl., (2016)Sparse random feature maps for the item-multiset kernel., , and . Neural Networks, (2021)Trustworthiness Analysis of Web Search Results., , , , , , , and . ECDL, volume 4675 of Lecture Notes in Computer Science, page 38-49. Springer, (2007)