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Nathalie Bertrand

Researcher at University of Rennes

Publications -  125
Citations -  2266

Nathalie Bertrand is an academic researcher from University of Rennes. The author has contributed to research in topics: Decidability & Probabilistic logic. The author has an hindex of 26, co-authored 111 publications receiving 2076 citations. Previous affiliations of Nathalie Bertrand include École normale supérieure de Cachan & Centre national de la recherche scientifique.

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Journal ArticleDOI

Probabilistic ω-automata

TL;DR: This paper addresses closure properties under the Boolean operators union, intersection and complementation and algorithmic aspects, such as checking emptiness or language containment, and provides a comparison of probabilistic ω-automata concerning expressiveness and efficiency.
Journal ArticleDOI

Identifying and locating-dominating codes on chains and cycles

TL;DR: The smallest cardinalities or densities of these codes in chains (finite or infinite) and cycles are studied.
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Iron Oxidation at Low Temperature (260-500 C) in Air and the Effect of Water Vapor

TL;DR: In this paper, the parabolic rate constants deduced from microbalance experiments were found to be in good agreement with the few existing values of the literature, and the presence of water vapor in air was found to strongly influence the transitory stages of the kinetics.
Book ChapterDOI

On decision problems for probabilistic Büchi automata

TL;DR: An alternative semantics for PBA where it is required that almost all runs for an accepted word are accepting, which turns out to be less powerful, but has a decidable emptiness problem.
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Spatial Global Sensitivity Analysis of High Resolution classified topographic data use in 2D urban flood modelling

TL;DR: A spatial Global Sensitivity Analysis approach in a 2D shallow water equations based High Resolution (HR) flood model to produce sensitivity maps which are based on Sobol index estimations, which highlight the major influence of modeller choices compared to HR measurement errors when HR topographic data are used.