Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jouan, Gabriel"'
Autor:
Holm, Benedikt, Jouan, Gabriel, Hardarson, Emil, Sigurðardottir, Sigríður, Hoelke, Kenan, Murphy, Conor, Arnardóttir, Erna Sif, Óskarsdóttir, María, Islind, Anna Sigríður
Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to automatically
Externí odkaz:
http://arxiv.org/abs/2404.15313
Autor:
Rusanen, Matias, Jouan, Gabriel, Huttunen, Riku, Nikkonen, Sami, Sigurðardóttir, Sigríður, Töyräs, Juha, Duce, Brett, Myllymaa, Sami, Arnardottir, Erna Sif, Leppänen, Timo, Islind, Anna Sigridur, Kainulainen, Samu, Korkalainen, Henri
State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic black-box solutions are difficult to adapt into clinical workflow and the
Externí odkaz:
http://arxiv.org/abs/2310.02032
Publikováno v:
In European Journal of Operational Research 1 September 2024 317(2):352-365
Akademický článek
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Akademický článek
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Publikováno v:
Discrete and Continuous Dynamical Systems-Series S
Discrete and Continuous Dynamical Systems-Series S, 2022, pp.1-19. ⟨10.3934/dcdss.2022037⟩
Discrete and Continuous Dynamical Systems-Series S, 2022, pp.1-19. ⟨10.3934/dcdss.2022037⟩
Nowadays, most weather forecasting centers produce ensemble forecasts. Ensemble forecasts provide information about probability distribution of the weather variables. They give a more complete description of the atmosphere than a unique run of the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae55fc48ed00495dedcf9b65a91557f9
https://hal.science/hal-03619364
https://hal.science/hal-03619364
Autor:
Jouan, Gabriel
Publikováno v:
Météorologie. Université Rennes 1, 2021. Français. ⟨NNT : 2021REN1S113⟩
Nowadays, most weather forecasting centers produce ensemble forecasts. They give a more complete description of the atmosphere than a unique run of the meteorological model. However, they may suffer from bias and under/over dispersion errors that nee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6f8ec42ad822d5fcd4bc347d7dcc8540
https://theses.hal.science/tel-03689754
https://theses.hal.science/tel-03689754
Publikováno v:
Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
9th International workshop on Climate Informatics
9th International workshop on Climate Informatics, Oct 2019, Paris, France
9th International workshop on Climate Informatics
9th International workshop on Climate Informatics, Oct 2019, Paris, France
International audience; Uncertainties assessment performed by numerical weather ensemble forecast system is active research in the statistical weather community. The uni-variate correction challenge of ensemble forecast known as univariate calibratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a5c295af63974588990cc7a065c78ad
https://hal.science/hal-02425230v2/document
https://hal.science/hal-02425230v2/document
Autor:
Resseguier, Valentin, Li, Long, Jouan, Gabriel, Dérian, Pierre, Mémin, Etienne, Chapron, Bertrand
Publikováno v:
2019-Workshop Conservation Principles, Data and Uncertainty in Atmosphere-Ocean Modelling
2019-Workshop Conservation Principles, Data and Uncertainty in Atmosphere-Ocean Modelling, Apr 2019, Potsdam, Germany. pp.1-70
2019-Workshop Conservation Principles, Data and Uncertainty in Atmosphere-Ocean Modelling, Apr 2019, Potsdam, Germany. pp.1-70
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61ce3e34694dc47de1524543938aa25c
https://hal.archives-ouvertes.fr/hal-02103233/file/Resseguier_WSP.pdf
https://hal.archives-ouvertes.fr/hal-02103233/file/Resseguier_WSP.pdf