Zobrazeno 1 - 10
of 3 660
pro vyhledávání: '"A. Garcin"'
Autor:
A. Baudot, N. Barth, C. Colas, M. Garros, A. Garcin, M. Oriol, F. Roche, F. Chauvin, N. Mottet, D. Hupin, on behalf the Acti-Pair investigators
Publikováno v:
Pilot and Feasibility Studies, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract Background Although the benefits of physical activity (PA) on health are recognised, prostate cancer patients do not follow PA recommendations. The barriers to PA, whether physical, environmental or organisational, are known. Furthermore, ev
Externí odkaz:
https://doaj.org/article/40c0400775c94c1d81acbe9ea04e1f5d
Autor:
Angelini, Daniele, Garcin, Matthieu
The Fractional Stochastic Regularity Model (FSRM) is an extension of Black-Scholes model describing the multifractal nature of prices. It is based on a multifractional process with a random Hurst exponent $H_t$, driven by a fractional Ornstein-Uhlenb
Externí odkaz:
http://arxiv.org/abs/2409.07159
Starting from a basic model in which the dynamic of the transaction prices is a geometric Brownian motion disrupted by a microstructure white noise, corresponding to the random alternation of bids and asks, we propose moment-based estimators along wi
Externí odkaz:
http://arxiv.org/abs/2407.17401
Autor:
N. Mallouk, J. Varvat, A. Berger, M. Epinat, S. Accassat, A. Garcin, A. Montmartin, G. Li, P. Garnier, P. Mismetti, C. Lambert
Publikováno v:
Practical Laboratory Medicine, Vol 11, Iss , Pp 10-18 (2018)
A recently released kit (PerFix EXPOSE) was reported to improve the measurement of the degree of phosphorylation of proteins in leukocytes by flow cytometry. We tested its adaptation for platelets to monitor vasodilator-stimulated phosphoprotein (VAS
Externí odkaz:
https://doaj.org/article/254dbd713306409498fa6ffa81ca2ce6
Autonomous agents trained using deep reinforcement learning (RL) often lack the ability to successfully generalise to new environments, even when these environments share characteristics with the ones they have encountered during training. In this wo
Externí odkaz:
http://arxiv.org/abs/2402.03479
A key limitation preventing the wider adoption of autonomous agents trained via deep reinforcement learning (RL) is their limited ability to generalise to new environments, even when these share similar characteristics with environments encountered d
Externí odkaz:
http://arxiv.org/abs/2310.03494
Autor:
Brouty, Xavier, Garcin, Matthieu
Considering that both the entropy-based market information and the Hurst exponent are useful tools for determining whether the efficient market hypothesis holds for a given asset, we study the link between the two approaches. We thus provide a theore
Externí odkaz:
http://arxiv.org/abs/2306.13371
Autor:
Garcin, Matthieu
We are interested in the nonparametric estimation of the probability density of price returns, using the kernel approach. The output of the method heavily relies on the selection of a bandwidth parameter. Many selection methods have been proposed in
Externí odkaz:
http://arxiv.org/abs/2305.13123
Average-K classification is an alternative to top-K classification in which the number of labels returned varies with the ambiguity of the input image but must average to K over all the samples. A simple method to solve this task is to threshold the
Externí odkaz:
http://arxiv.org/abs/2303.18118
Autor:
Casaubon Garcin, Pablo Roberto1 dr.pcg@hotmail.com, Ramsay, María2, Lemmen Meyer, Sofía Casaubon3, Daniela Goldbard Rochman, Daniela1, Oliva Meza Hernandez, Oscar Miguel1, Baptista González, Héctor4, Monroy Tenia, Zuhy Arlette5, Barriguete Melendez, Jorge Armando6,7, Valdez Aguilar, Mariana6,8
Publikováno v:
Acta Pediatrica de Mexico. sep/oct2024, Vol. 45 Issue 5, p443-452. 10p.