Výsledky vyhledávání - "Souriau, Rémi"

Akademický článek

A review on generative Boltzmann networks applied to dynamic systems

Autor: Souriau, Rémi, Lerbet, Jean, Chen, Hsin, Vigneron, Vincent

Publikováno v: In Mechanical Systems and Signal Processing 15 January 2021 147

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

machine learning for modeling dynamic stochastic systems : application to adaptive control on deep-brain stimulation

Autor: Souriau, Rémi

Publikováno v: Signal and Image Processing. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG004⟩

The past recent years have been marked by the emergence of a large amount of database in many fields like health. The creation of many databases paves the way to new applications. Properties of data are sometimes complex (non linearity, dynamic, high

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::03643111cb75b637da040bd1a6f8dfb7
https://theses.hal.science/tel-03202196/document

Zobrazit plný text záznamu

Boltzmann Machines for signals decomposition. Application to Parkinson's Disease control

Autor: Souriau, Rémi, Vigneron, Vincent, Lerbet, Jean, Chen, Hsin

Publikováno v: XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019)
XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), Aug 2019, Lille, France

This article presents a new method of decomposition of signals with an unsupervised training model: the continuous RestrictedBoltzmann Machine (cRBM) based on the structure of the Diffusion Network. An application for the detection of High-Voltage Sp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb4fabee0f075837a84369ed35f2199c
https://hal.archives-ouvertes.fr/hal-02197049/document

Zobrazit plný text záznamu

High-Voltage Spindles detection from EEG signals using recursive synchrosqueezing transform

Autor: Souriau, Rémi, Fourer, Dominique, Chen, H., Lerbet, Jean, Maaref, Hichem, Vigneron, Vincent

Publikováno v: GRETSI
GRETSI, Aug 2019, Lille, France

This paper proposes a new detection technique applied on electroencephalogram (EEG) signals which were measured on Parkinsonian rats during an experiment. Our technique uses a recursive filter-bank-based implementation of the short-time Fourier trans

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a4ea84b784044fb6f2292a312f4d372f
https://hal.archives-ouvertes.fr/hal-02140264/document

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání