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Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory.

, and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 159-168. Springer, (2017)

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A worker clustering-based approach of label aggregation under the belief function theory., and . Appl. Intell., 49 (1): 53-62 (2019)Imprecise Label Aggregation Approach Under the Belief Function Theory., and . ISDA (2), volume 941 of Advances in Intelligent Systems and Computing, page 607-616. Springer, (2018)A Gold Standards-Based Crowd Label Aggregation Within the Belief Function Theory., and . IEA/AIE (2), volume 10351 of Lecture Notes in Computer Science, page 97-106. Springer, (2017)An Adaptive Approach of Label Aggregation Using a Belief Function Framework., and . ICDEc, volume 290 of Lecture Notes in Business Information Processing, page 198-207. Springer, (2017)Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory., and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 159-168. Springer, (2017)An Evidential Semi-supervised Label Aggregation Approach., and . KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 676-686. Springer, (2019)An Evidential Imprecise Answer Aggregation Approach Based on Worker Clustering., and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 341-349. Springer, (2019)Crowd Label Aggregation Under a Belief Function Framework., and . KSEM, volume 9983 of Lecture Notes in Computer Science, page 185-196. (2016)