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Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion.

, , , and . IJCNN, page 1-10. IEEE, (2023)

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A New Method to Increase the Margin of Multilayer Perceptrons., , , and . Neural Process. Lett., 11 (1): 7-15 (2000)ICML2011 Unsupervised and Transfer Learning Workshop., , , , and . ICML Unsupervised and Transfer Learning, volume 27 of JMLR Proceedings, page 1-16. JMLR.org, (2012)Should we Reload Time Series Classification Performance Evaluation ? (a position paper)., and . CoRR, (2019)An Interactive Interface for Novel Class Discovery in Tabular Data., , , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 295-299. Springer, (2023)An adaptive scheme for the approximation of dissipative systems. Stochastic Process. Appl., 117 (10): 1491--1518 (2007)Multivariate Time Series Classification: A Relational Way., , , , and . DaWaK, volume 12393 of Lecture Notes in Computer Science, page 316-330. Springer, (2020)Optimised probabilistic active learning (OPAL) For Fast, Non-Myopic, Cost-Sensitive Active Classification, , and . Machine Learning, 100 (2): 449--476 (2015)Toward a Framework for Seasonal Time Series Forecasting Using Clustering., , , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 328-340. Springer, (2019)Illumination-Invariant Color Image Correction., , and . IWICPAS, volume 4153 of Lecture Notes in Computer Science, page 359-368. Springer, (2006)Une méthode supervisée pour initialiser les centres des K-moyennes., , and . EGC, volume E-30 of Revue des Nouvelles Technologies de l'Information, page 147-152. Éditions RNTI, (2016)