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Predicting Next Label Quality: A Time-Series Model of Crowdwork., , and . HCOMP, page 87-95. AAAI, (2014)Modeling Temporal Crowd Work Quality with Limited Supervision., and . HCOMP, page 83-91. AAAI Press, (2015)Improving Consensus Accuracy via Z-Score and Weighted Voting., and . Human Computation, volume WS-11-11 of AAAI Technical Report, AAAI, (2011)Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization., and . SIGIR, page 1095-1096. ACM, (2012)Quality assurance in crowdsourcing via matrix factorization based task routing.. WWW (Companion Volume), page 3-8. ACM, (2014)A Discriminative Approach to Predicting Assessor Accuracy., and . ECIR, volume 9022 of Lecture Notes in Computer Science, page 159-171. (2015)Improving Quality of Crowdsourced Labels via Probabilistic Matrix Factorization., and . HCOMP@AAAI, volume WS-12-08 of AAAI Technical Report, AAAI Press, (2012)InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning., , , and . CVPR, page 8543-8552. IEEE, (2024)Evaluating Classifiers Without Expert Labels, and . CoRR, (2012)Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams., , , , , , , , , and 5 other author(s). KDD, page 2145-2155. ACM, (2019)