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Flexible Reward Plans to Elicit Truthful Predictions in Crowdsourcing., , , and . HCOMP, page 28-29. AAAI Press, (2015)Fine-tuning deep convolutional neural networks for distinguishing illustrations from photographs., , , , and . Expert Syst. Appl., (2016)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)Evaluating brand value on the web., , , and . WICOW, page 67-74. ACM, (2009)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)Approximate Intensional Representation of Web Search Results., , and . WISE, volume 3806 of Lecture Notes in Computer Science, page 607-608. Springer, (2005)Trustworthiness Analysis of Web Search Results., , , , , , , and . ECDL, volume 4675 of Lecture Notes in Computer Science, page 38-49. Springer, (2007)