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Active Change-Point Detection.

, , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 1017-1032. PMLR, (2019)

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Quality control of crowdsourced classification using hierarchical class structures., , and . Expert Syst. Appl., (2016)Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing., , and . CIKM, page 1069-1078. ACM, (2017)Improving imbalanced classification using near-miss instances., , , , and . Expert Syst. Appl., (2022)Parametric Return Density Estimation for Reinforcement Learning., , , , and . UAI, page 368-375. AUAI Press, (2010)QTNet: Theory-based Queue Length Prediction for Urban Traffic., , , and . KDD, page 4832-4841. ACM, (2023)Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes., , , , , and . KDD, page 1276-1286. ACM, (2021)Learning Evolvable Time-series Shapelets., , and . ICDE, page 793-805. IEEE, (2022)Crowdsourcing Quality Control for Item Ordering Tasks., , , and . HCOMP (Works in Progress / Demos), volume WS-13-18 of AAAI Technical Report, AAAI, (2013)Instance-Privacy Preserving Crowdsourcing., , and . HCOMP, page 96-103. AAAI, (2014)Learning from Crowds and Experts., , , and . HCOMP@AAAI, volume WS-12-08 of AAAI Technical Report, AAAI Press, (2012)