Zobrazeno 1 - 10
of 2 811
pro vyhledávání: '"A. Jedynak"'
The method of occupation kernels has been used to learn ordinary differential equations from data in a non-parametric way. We propose a two-step method for learning the drift and diffusion of a stochastic differential equation given snapshots of the
Externí odkaz:
http://arxiv.org/abs/2406.15661
We consider the problem of active learning in the context of spatial sampling for level set estimation (LSE), where the goal is to localize all regions where a function of interest lies above/below a given threshold as quickly as possible. We present
Externí odkaz:
http://arxiv.org/abs/2310.11985
Learning a nonparametric system of ordinary differential equations (ODEs) from $n$ trajectory snapshots in a $d$-dimensional state space requires learning $d$ functions of $d$ variables. Explicit formulations scale quadratically in $d$ unless additio
Externí odkaz:
http://arxiv.org/abs/2306.10189
Autor:
Dorota Zdunkiewicz-Jedynak
Publikováno v:
Poradnik Językowy, Vol 818, Iss 9 (2024)
Externí odkaz:
https://doaj.org/article/5acea7ff1fb74792b15bf9ea41b5d511
Autor:
Natasha Atanaskova Mesinkovska, Brett A. King, Sergio Vañó‐Galván, Yutaka Shimomura, Jakub Jedynak, Jill McCollam, Evangeline Pierce, Amy K. Ellinwood, Rodney Sinclair
Publikováno v:
JEADV Clinical Practice, Vol 3, Iss 2, Pp 528-535 (2024)
Abstract Background The Severity of Alopecia Tool (SALT) is a standardized method for quantifying scalp hair loss in alopecia areata (AA). SALT scores can be used to guide treatment decisions and are widely used as eligibility criteria and endpoints
Externí odkaz:
https://doaj.org/article/10df0df3e50e45c29038a20cd9d1845a
Autor:
Paulina Jedynak, Valérie Siroux, Lucile Broséus, Jörg Tost, Florence Busato, Stephan Gabet, Cathrine Thomsen, Amrit K. Sakhi, Azemira Sabaredzovic, Sarah Lyon-Caen, Sam Bayat, Rémy Slama, Claire Philippat, Johanna Lepeule
Publikováno v:
Environment International, Vol 189, Iss , Pp 108763- (2024)
Background: Endocrine disrupting compounds (EDCs) such as phthalates and phenols can affect placental functioning and fetal health, potentially via epigenetic modifications. We investigated the associations between pregnancy exposure to synthetic phe
Externí odkaz:
https://doaj.org/article/08ce7faceb744fbe97e0d4ac462516e5
Learning nonparametric systems of Ordinary Differential Equations (ODEs) dot x = f(t,x) from noisy data is an emerging machine learning topic. We use the well-developed theory of Reproducing Kernel Hilbert Spaces (RKHS) to define candidates for f for
Externí odkaz:
http://arxiv.org/abs/2206.15215
Autor:
Jedynak, Paulina, Siroux, Valérie, Broséus, Lucile, Tost, Jörg, Busato, Florence, Gabet, Stephan, Thomsen, Cathrine, Sakhi, Amrit K., Sabaredzovic, Azemira, Lyon-Caen, Sarah, Bayat, Sam, Slama, Rémy, Philippat, Claire, Lepeule, Johanna
Publikováno v:
In Environment International July 2024 189
Publikováno v:
Journal of Education, Health and Sport, Vol 72 (2024)
Introduction. Blood-borne infections are a serious problem among medical staff, especially nursing staff, because nurses have the most frequent contact with patients. As future employees of health care, students of nursing are exposed to a number of
Externí odkaz:
https://doaj.org/article/0dde9451cc0a4c6eacb4a3ecb33524b0
Autor:
Marion Ouidir, Paulina Jedynak, Matthieu Rolland, Sarah Lyon-Caen, Cathrine Thomsen, Amrit K. Sakhi, Azemira Sabaredzovic, Sam Bayat, Rémy Slama, Claire Philippat
Publikováno v:
Environment International, Vol 186, Iss , Pp 108584- (2024)
Background: Most previous studies investigating the associations between prenatal exposure to phthalates and fetal growth relied on measurements of phthalate metabolites at a single time point. They also focused on weight at birth without assessing g
Externí odkaz:
https://doaj.org/article/1053f8fc74114abfa3dbe718d30dae67