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Active learning with evolving streaming data, , , and . Proceedings of the ECML/PKDD 2011, (2011)Optimal estimates for short horizon travel time prediction in urban areas., and . Intell. Data Anal., 20 (6): 1459-1475 (2016)Controlled Permutations for Testing Adaptive Classifiers.. Discovery Science, volume 6926 of Lecture Notes in Computer Science, page 365-379. Springer, (2011)High density-focused uncertainty sampling for active learning over evolving stream data., , and . BigMine, volume 36 of JMLR Workshop and Conference Proceedings, page 133-148. JMLR.org, (2014)Next challenges for adaptive learning systems., , , , , , and . SIGKDD Explor., 14 (1): 48-55 (2012)Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover., , and . Ecol. Informatics, (2022)Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them., , , , and . ECML/PKDD (1), volume 8188 of Lecture Notes in Computer Science, page 465-479. Springer, (2013)The Multi-Agent System for Prediction of Financial Time Series., and . ICAISC, volume 4029 of Lecture Notes in Computer Science, page 653-662. Springer, (2006)Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales., , , and . SGAI Conf., page 213-218. Springer, (2012)Handling outliers and concept drift in online mass flow prediction in CFB boilers., , , , and . KDD Workshop on Knowledge Discovery from Sensor Data, page 13-22. ACM, (2009)