Zobrazeno 1 - 10
of 16 840
pro vyhledávání: '"DUTERTRE, A."'
Autor:
Ruiz, Camila M.
In [2], N.Dutertre and T. Fukui used Viro's integral calculus to study the topology of stable maps $f:M\rightarrow N$ between two smooth manifolds $M$ and $N$. They also discussed several applications to Morin maps. In particular, in Theorem 6.2 [2],
Externí odkaz:
http://arxiv.org/abs/1602.05982
Publikováno v:
Soft Matter, 2020,16, 3180-3186
Following a previous work evidencing that short poly-propylene glycol (PPG) chains incorporated to crude SBR-silica nanocomposites act as filler-network softeners without changing their structure, we propose in the present letter to examine more oper
Externí odkaz:
http://arxiv.org/abs/2403.03133
Autor:
Charlotte Teixeira Costa, Gwenaël Boulbria, Christophe Dutertre, Céline Chevance, Théo Nicolazo, Valérie Normand, Justine Jeusselin, Arnaud Lebret
Publikováno v:
Porcine Health Management, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Background A high number of stillborn piglets has a negative impact on production and animal welfare. It is an important contributor to piglet mortality around farrowing and continues to rise with the increase of prolificacy. The objective o
Externí odkaz:
https://doaj.org/article/59138695424243659e5223d35f28c72c
Model extraction emerges as a critical security threat with attack vectors exploiting both algorithmic and implementation-based approaches. The main goal of an attacker is to steal as much information as possible about a protected victim model, so th
Externí odkaz:
http://arxiv.org/abs/2308.16703
With the large-scale integration and use of neural network models, especially in critical embedded systems, their security assessment to guarantee their reliability is becoming an urgent need. More particularly, models deployed in embedded platforms,
Externí odkaz:
http://arxiv.org/abs/2308.16665
Upcoming certification actions related to the security of machine learning (ML) based systems raise major evaluation challenges that are amplified by the large-scale deployment of models in many hardware platforms. Until recently, most of research wo
Externí odkaz:
http://arxiv.org/abs/2304.12876
Autor:
Dutertre, Nicolas, Grandjean, Vincent
Fix an o-minimal structure expanding the ordered field of real numbers. Let $(W_y)_{y\in\mathbb{R}^s}$ be a definable family of closed subsets of $\mathbb{R}^n$ whose total space $W = \cup_y W_y\times y$ is a closed connected $C^2$ definable sub-mani
Externí odkaz:
http://arxiv.org/abs/2303.11474
Autor:
Quentin Blampey, Kevin Mulder, Margaux Gardet, Stergios Christodoulidis, Charles-Antoine Dutertre, Fabrice André, Florent Ginhoux, Paul-Henry Cournède
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Spatial omics data allow in-depth analysis of tissue architectures, opening new opportunities for biological discovery. In particular, imaging techniques offer single-cell resolutions, providing essential insights into cellular organizations
Externí odkaz:
https://doaj.org/article/26bd2daea8c6419babf553bee6d0d161
Deep neural network models are massively deployed on a wide variety of hardware platforms. This results in the appearance of new attack vectors that significantly extend the standard attack surface, extensively studied by the adversarial machine lear
Externí odkaz:
http://arxiv.org/abs/2209.14243
Autor:
Blampey, Quentin, Bercovici, Nadège, Dutertre, Charles-Antoine, Pic, Isabelle, André, Fabrice, Ribeiro, Joana Mourato, Cournède, Paul-Henry
Cytometry enables precise single-cell phenotyping within heterogeneous populations. These cell types are traditionally annotated via manual gating, but this method suffers from a lack of reproducibility and sensitivity to batch-effect. Also, the most
Externí odkaz:
http://arxiv.org/abs/2208.05745