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Sélections simultanées de variables et de représentations pour la classification de séries temporelles.

, , , , and . EGC, volume E-36 of RNTI, page 415-424. Éditions RNTI, (2020)

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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)Should we Reload Time Series Classification Performance Evaluation ? (a position paper)., and . CoRR, (2019)An adaptive scheme for the approximation of dissipative systems. Stochastic Process. Appl., 117 (10): 1491--1518 (2007)ICML2011 Unsupervised and Transfer Learning Workshop., , , , and . ICML Unsupervised and Transfer Learning, volume 27 of JMLR Proceedings, page 1-16. JMLR.org, (2012)A New Method to Increase the Margin of Multilayer Perceptrons., , , and . Neural Process. Lett., 11 (1): 7-15 (2000)Multivariate Time Series Classification: A Relational Way., , , , and . DaWaK, volume 12393 of Lecture Notes in Computer Science, page 316-330. Springer, (2020)A practical approach to novel class discovery in tabular data., , , , and . Data Min. Knowl. Discov., 38 (4): 2087-2116 (July 2024)Predictive K-means with local models., , , and . CoRR, (2020)Design of the first neuronal connectomics challenge: From imaging to connectivity., , , , , , , , , and . IJCNN, page 2600-2607. IEEE, (2014)First Connectomics Challenge: From Imaging to Connectivity., , , , , , , , and . Neural Connectomics, volume 46 of JMLR Workshop and Conference Proceedings, page 1-22. JMLR.org, (2014)