Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Cédric Rommel"'
Publikováno v:
Journal of Neural Engineering
Journal of Neural Engineering, 2022, 19 (6), ⟨10.1088/1741-2552/aca220⟩
Journal of Neural Engineering, 2022, 19 (6), ⟨10.1088/1741-2552/aca220⟩
Objective: The use of deep learning for electroencephalography (EEG) classification tasks has been rapidly growing in the last years, yet its application has been limited by the relatively small size of EEG datasets. Data augmentation, which consists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1459a62311183831cdaeabd6bf2ae9f8
https://hal.science/hal-03853329/document
https://hal.science/hal-03853329/document
Publikováno v:
ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, EDP Sciences, 2021, 25, pp.1-30. ⟨10.1051/ps/2020028⟩
ESAIM: Probability and Statistics, 2021, 25, pp.1-30. ⟨10.1051/ps/2020028⟩
ESAIM: Probability and Statistics, EDP Sciences, 2021, 25, pp.1-30. ⟨10.1051/ps/2020028⟩
ESAIM: Probability and Statistics, 2021, 25, pp.1-30. ⟨10.1051/ps/2020028⟩
International audience; In this paper, we tackle the problem of quantifying the closeness of a newly observed curve to a given sample of random functions, supposed to have been sampled from the same distribution. We define a probabilistic criterion f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4d86deec2b8e207ac32fe507c18457
https://hal.archives-ouvertes.fr/hal-03160007/file/ps190040.pdf
https://hal.archives-ouvertes.fr/hal-03160007/file/ps190040.pdf
Publikováno v:
Journal of Guidance, Control, and Dynamics
Journal of Guidance, Control, and Dynamics, American Institute of Aeronautics and Astronautics, 2019, 42 (8), pp.1857--1862. ⟨10.2514/1.G003996⟩
Journal of Guidance, Control, and Dynamics, 2019, 42 (8), pp.1857--1862. ⟨10.2514/1.G003996⟩
Journal of Guidance, Control, and Dynamics, American Institute of Aeronautics and Astronautics, 2019, 42 (8), pp.1857--1862. ⟨10.2514/1.G003996⟩
Journal of Guidance, Control, and Dynamics, 2019, 42 (8), pp.1857--1862. ⟨10.2514/1.G003996⟩
International audience; We consider the task of solving an aircraft trajectory optimization problem where the system dynamics have been estimated from recorded data. Additionally, we want to avoid optimized trajectories that go too far away from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10171f0da425aaa638ad5fd7242787ba
https://hal.inria.fr/hal-01819749
https://hal.inria.fr/hal-01819749