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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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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)FEARS: a Feature and Representation Selection approach for Time Series Classification., , , , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 379-394. PMLR, (2019)Predictive K-means with local models., , , and . CoRR, (2020)"J'veux du Soleil" Towards a Decade of Solar Irradiation Data (La Réunion Island, SW Indian Ocean)., , , and . AALTD@PKDD/ECML, volume 12588 of Lecture Notes in Computer Science, page 113-121. Springer, (2020)Should we Reload Time Series Classification Performance Evaluation ? (a position paper)., and . CoRR, (2019)Multivariate Time Series Classification: A Relational Way., , , , and . DaWaK, volume 12393 of Lecture Notes in Computer Science, page 316-330. Springer, (2020)Interpretable Feature Construction for Time Series Extrinsic Regression., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 804-816. Springer, (2021)Moodleboard: Dynamic and Interactive Indicators for Teachers and Pedagogical Engineers., , , , , and . NextComp, page 1-5. IEEE, (2019)Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion., , , and . IJCNN, page 1-10. IEEE, (2023)Prédiction des adventices de la canne à sucre à La Réunion : une approche par apprentissage supervisé multi-labels., , , , , and . EGC, volume E-38 of RNTI, page 475-476. Editions RNTI, (2022)