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Temporal density extrapolation using a dynamic basis approach.

, , and . Data Min. Knowl. Discov., 33 (5): 1323-1356 (2019)

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Predicting and Monitoring Changes in Scoring Data, and . Credit Scoring and Credit Control XIV (CSCC XIV), XIV, The University of Edinburgh, (2015)Drift mining in data: A framework for addressing drift in classification, and . Computational Statistics and Data Analysis, 57 (1): 377-391 (2013)The Management Game SINTO-Market - Report on Some Recent Experiments., , , , , , and . OR, page 453-458. Springer, (2002)Positioning of new brands in an experiment., and . Central Eur. J. Oper. Res., 14 (4): 435-454 (2006)Drift Models and Classification in Presence of Latency and Drift., and . LWA, page 65-72. Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, (2011)A hierarchical tree layout algorithm with an application to corporate management in a change process, and . Expert Systems with Applications, 39 (15): 12123-12130 (2012)Application of Techniques of Functional Data Analysis to Spectroscopic Data.. OR, page 498-503. Springer, (2002)Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372), , , and . Dagstuhl Reports, 10 (4): 1--36 (2021)Adapting a classification rule to local and global shift when only unlabelled data are available.. Eur. J. Oper. Res., 243 (1): 177-189 (2015)Partitioner Trees for Classification: A New Ensemble Method., and . Applications of Supervised and Unsupervised Ensemble Methods, volume 245 of Studies in Computational Intelligence, Springer, (2009)