Zobrazeno 1 - 10
of 2 790
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:
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
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:
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
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
Publikováno v:
Folia Oeconomica Stetinensia, Vol 23, Iss 2, Pp 275-293 (2023)
Many companies have experienced a significant impact on their financial performance due to the pandemic period. The effects were mostly negative as a result of by due to the various restrictions that were put in place to limit direct contact among pe
Externí odkaz:
https://doaj.org/article/03cfcd2495af437a8be93f370ef09338
Publikováno v:
Materials, Vol 17, Iss 18, p 4458 (2024)
The increase in environmental pollution due to the development of industry and human activity has resulted in intensive development of research on the possibility of its purification. A very effective method is the pollutants’ adsorption from the a
Externí odkaz:
https://doaj.org/article/a506642a650b440886874b1abe89712d
Autor:
Jan Pukalski, Monika Olchawa-Pajor, Paweł Jedynak, Katarzyna Nawrot-Chorabik, Dariusz Latowski
Publikováno v:
Forests, Vol 15, Iss 9, p 1510 (2024)
Using a pathogenic fungus and selected endophytic fungi of the ash tree, we propose a modified model of fungal dual cultures that allows us to obtain two new parameters particularly useful in the search for fungal pathogen control agents. The first o
Externí odkaz:
https://doaj.org/article/38e25998c5f44a6982f68ce7ec9d3804