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Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels.

, , , , and . EGC, volume E-35 of RNTI, page 375-376. Éditions RNTI, (2019)

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Automatic Alignment of Surgical Videos Using Kinematic Data., , , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 104-113. Springer, (2019)Deep learning for time series classification: a review, , , , and . Data Mining and Knowledge Discovery, 33 (4): 917--963 (Jul 1, 2019)Deep Constrained Clustering applied to Satellite Image Time Series., , , and . MACLEAN@PKDD/ECML, volume 2466 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging., , , , , , , and . AALTD@ECML/PKDD, volume 14343 of Lecture Notes in Computer Science, page 127-142. Springer, (2023)Grad Centroid Activation Mapping for Convolutional Neural Networks., , , and . ICTAI, page 184-191. IEEE, (2021)Enhancing Time Series Classification with Self-Supervised Learning., , , and . ICAART (3), page 40-47. SCITEPRESS, (2023)A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification., , , and . IJCNN, page 1-8. IEEE, (2022)Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters., , , and . IEEE Big Data, page 972-981. IEEE, (2022)Knowledge-Based Categorization of Scientific Articles for Similarity Predictions., , , , and . TPDL, volume 12246 of Lecture Notes in Computer Science, page 147-160. Springer, (2020)Deep Neural Network Ensembles for Time Series Classification., , , , and . IJCNN, page 1-6. IEEE, (2019)