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CONAN: A framework for detecting and handling collusion in crowdsourcing., , , and . Inf. Sci., (2020)NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation., and . Mach. Learn., 112 (9): 3473-3496 (September 2023)On the Cost Complexity of Crowdsourcing., , , and . IJCAI, page 1531-1537. ijcai.org, (2018)Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition., , , , and . CIKM, page 1059-1068. ACM, (2017)RECON: a novel approach to fighting unreliability in peer-to-peer grids., , , and . Int. J. Grid Util. Comput., 2 (2): 77-84 (2011)A User-Oriented Approach to Assessing Web Service Trustworthiness., , , , and . ATC, volume 6407 of Lecture Notes in Computer Science, page 195-207. Springer, (2010)Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews., , , , , , and . AAAI, page 4220-4221. AAAI Press, (2015)Service4Crowd: A Service Oriented Process Management Platform for Crowdsourcing., , , and . CSCW Companion, page 37-40. ACM, (2018)Discovering Semantic Mobility Pattern from Check-in Data., , , , , and . WISE (1), volume 8786 of Lecture Notes in Computer Science, page 464-479. Springer, (2014)DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction., , , , , , , , , and . MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 748-757. Springer, (2022)