Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Paula Gordaliza"'
Publikováno v:
Sensors, Vol 23, Iss 4, p 2048 (2023)
The effectiveness of EMG biofeedback with neurorehabilitation robotic platforms has not been previously addressed. The present work evaluates the influence of an EMG-based visual biofeedback on the user performance when performing EMG-driven bilatera
Externí odkaz:
https://doaj.org/article/cb73e10ad9ef4dfe80bf6ba8b28d86fd
Publikováno v:
The American Statistician
The American Statistician, 2022, 76 (2), pp.188-198. ⟨10.1080/00031305.2021.1952897⟩
The American Statistician, 2022, 76 (2), pp.188-198. ⟨10.1080/00031305.2021.1952897⟩
International audience; Applications based on machine learning models have now become an indispensable part of the everyday life and the professional world. As a consequence, a critical question has recently arose among the population: Do algorithmic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::443b6ffe4b375d3bc9da4da20ab20128
https://doi.org/10.1080/00031305.2021.1952897
https://doi.org/10.1080/00031305.2021.1952897
Autor:
Paula Gordaliza, Hristo Inouzhe
Publikováno v:
Building Bridges between Soft and Statistical Methodologies for Data Science ISBN: 9783031155086
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df64f2d1e48d80a64ff88e7cb9cc9fdf
https://doi.org/10.1007/978-3-031-15509-3_26
https://doi.org/10.1007/978-3-031-15509-3_26
Autor:
Paula Gordaliza Pastor
Publikováno v:
UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname
Statistics [math.ST]. Université Paul Sabatier-Toulouse III; Universidad de Valladolid. Departamento de estadisticaa e investigacion operativa, 2020. English. ⟨NNT : 2020TOU30084⟩
instname
Statistics [math.ST]. Université Paul Sabatier-Toulouse III; Universidad de Valladolid. Departamento de estadisticaa e investigacion operativa, 2020. English. ⟨NNT : 2020TOU30084⟩
The aim of this thesis is two-fold. On the one hand, optimal transportation methods are studied for statistical inference purposes. On the other hand, the recent problem of fair learning is addressed through the prism of optimal transport theory. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34da9eebdca1c1a7405648d7981b539b
https://doi.org/10.35376/10324/43392
https://doi.org/10.35376/10324/43392
Publikováno v:
Information and Inference
Information and Inference, Oxford University Press (OUP), 2019, 8 (4), pp.817-849. ⟨10.1093/imaiai/iaz016⟩
Information and Inference, 2019, 8 (4), pp.817-849. ⟨10.1093/imaiai/iaz016⟩
Information and Inference, Oxford University Press (OUP), 2019, 8 (4), pp.817-849. ⟨10.1093/imaiai/iaz016⟩
Information and Inference, 2019, 8 (4), pp.817-849. ⟨10.1093/imaiai/iaz016⟩
We provide a central limit theorem for the Monge–Kantorovich distance between two empirical distributions with sizes $n$ and $m$, $\mathcal{W}_p(P_n,Q_m), \ p\geqslant 1,$ for observations on the real line. In the case $p>1$ our assumptions are sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ae7898bb8ebf7e9943e149363c0ec1
https://hal.archives-ouvertes.fr/hal-02963673
https://hal.archives-ouvertes.fr/hal-02963673
Publikováno v:
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2019, 169, pp.341-362. ⟨10.1016/j.jmva.2018.09.014⟩
Journal of Multivariate Analysis, 2019, 169, pp.341-362. ⟨10.1016/j.jmva.2018.09.014⟩
Journal of Multivariate Analysis, Elsevier, 2019, 169, pp.341-362. ⟨10.1016/j.jmva.2018.09.014⟩
Journal of Multivariate Analysis, 2019, 169, pp.341-362. ⟨10.1016/j.jmva.2018.09.014⟩
Wasserstein barycenters and variance-like criteria based on the Wasserstein distance are used in many problems to analyze the homogeneity of collections of distributions and structural relationships between the observations. We propose the estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c93aeeeb85164eab9675a0fa72a68bd
https://hal.archives-ouvertes.fr/hal-01269785
https://hal.archives-ouvertes.fr/hal-01269785