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Improving Adaptive Bagging Methods for Evolving Data Streams, , , and . Proceedings of the 1st Asian Conference on Machine Learning, Springer, (2009)Identifiability and transportability in dynamic causal networks., , and . Int. J. Data Sci. Anal., 3 (2): 131-147 (2017)Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices., , , , and . MLSA@PKDD/ECML, volume 1842 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Interpretable Patient Trajectories from Temporally Annotated Health Records., and . CBMS, page 547-550. IEEE, (2019)New ensemble methods for evolving data streams, , , , and . KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, page 139--148. New York, NY, USA, ACM, (2009)Probabilistic model for robust traffic state identification in urban networks., , and . ITSC, page 1934-1940. IEEE, (2019)The frequency spectrum of finite samples from the intermittent silence process., and . J. Assoc. Inf. Sci. Technol., 60 (4): 837-843 (2009)Machine Learning for Data Streams with Practical Examples in MOA, , , and . MIT Press, Cambridge, MA, (2018)Adaptive Windowing.. Encyclopedia of Big Data Technologies, Springer, (2019)From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data., , , , and . ICDM Workshops, page 136-143. IEEE Computer Society, (2016)