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WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation.

, , , , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (10): 101843 (December 2023)

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Harshness-aware sentiment mining framework for product review., , , and . Expert Syst. Appl., (2022)HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract)., , and . AAAI, page 13993-13994. AAAI Press, (2020)An ASP based method for subassembly identification., , , , and . ROBIO, page 1317-1322. IEEE, (2009)Distributed Systems for Emerging Computing: Platform and Application., , and . Future Internet, 15 (4): 151 (April 2023)Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing., , , and . IEEE Internet Things J., 4 (5): 1389-1398 (2017)Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing., , , , and . DASFAA (1), volume 9642 of Lecture Notes in Computer Science, page 33-48. Springer, (2016)Empirical Study on Frequency Adversarial Perturbation for Medical Image Privacy Protection., and . ICDIS, page 155-159. IEEE, (2022)Crowd4ME: A Crowdsourcing-Based Micro-expression Collection Platform., , , , and . ICSOC Workshops, volume 13236 of Lecture Notes in Computer Science, page 315-318. Springer, (2021)A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows., , , , and . AAAI, page 3102-3103. AAAI Press, (2014)Effectiveness of Malicious Behavior and Its Impact on Crowdsourcing., , , , , and . ChineseCSCW (2), volume 1682 of Communications in Computer and Information Science, page 118-132. Springer, (2022)