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Enhancing Very Fast Decision Trees with Local Split-Time Predictions.

, , and . ICDM, page 287-296. IEEE Computer Society, (2018)

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Personalized maneuver prediction at intersections., , and . ITSC, page 1-6. IEEE, (2017)Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)., , and . Knowl. Inf. Syst., 54 (1): 171-201 (2018)Local Rejection Strategies for Learning Vector Quantization., , and . ICANN, volume 8681 of Lecture Notes in Computer Science, page 563-570. Springer, (2014)A biologically inspired approach for interactive learning of categories., and . ICDL-EPIROB, page 1-6. IEEE, (2011)Learning Invariant Visual Shape Representations from Physics., and . ICANN (3), volume 6354 of Lecture Notes in Computer Science, page 298-302. Springer, (2010)Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units., , , , and . ICRA, page 9530-9536. IEEE, (2019)Enhancing Very Fast Decision Trees with Local Split-Time Predictions., , and . ICDM, page 287-296. IEEE Computer Society, (2018)Cooperative Intelligence - A Humane Perspective., and . ICHMS, page 1-6. IEEE, (2020)Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift., , , and . IJCNN, page 1-8. IEEE, (2020)Self-Adjusting Memory: How to Deal with Diverse Drift Types., , and . IJCAI, page 4899-4903. ijcai.org, (2017)