479 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR192 papers
- Université Paris-SaclayFR78 papers
- Université de MontpellierFR75 papers
- AgroParisTechFR59 papers
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR56 papers
- Mathématiques, Informatique et Statistique pour l'Environnement et l'AgronomieFR44 papers
- Institut de Recherche pour le DéveloppementFR41 papers
- Institut National de la Recherche AgronomiqueMA39 papers
- Institut Agro MontpellierFR38 papers
- Institut national de recherche en sciences et technologies du numériqueFR38 papers
- Territoires, Environnement, Télédétection et Information SpatialeFR33 papers
- Université Grenoble AlpesFR32 papers
51 papers · 1 filter
Making experimental data tables in the life sciences more FAIR: a pragmatic approach
Daniel Jacob, Romain David, Sophie Aubin +1
Making data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria shoul…
39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition
Caterina Caracciolo, Sophie Aubin, Clement Jonquet +7
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate th…
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4
Hyperspectral acquisitions have proven to be the most informative Earth observation data source for the estimation of nitrogen (N) content, which is the main limiting nutrient for…
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut, Helin Dutagaci, Gilles Galopin +1
Segmentation of structural parts of 3D models of plants is an important step for plant phenotyping, especially for monitoring architectural and morphological traits. Current state-…
From Weakly Supervised Learning to Biquality Learning: an Introduction
Pierre Nodet, Vincent Lemaire, Alexis Bondu +2
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cas…
FRIPON: A worldwide network to track incoming meteoroids
F. Colas, B. Zanda, S. Bouley +14
Context: Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was…
Mechanistic modeling of African swine fever: A systematic review
Brandon H Hayes, Mathieu Andraud, Luis G Salazar +2
The spread of African swine fever (ASF) poses a grave threat to the global swine industry. Understanding transmission dynamics, such as through mechanistic modeling, is critical fo…
The stochastic dynamics of early epidemics: probability of establishment, initial growth rate, and infection cluster size at first detection
Peter Czuppon, Emmanuel Schertzer, François Blanquart +1
Emerging epidemics and local infection clusters are initially prone to stochastic effects that can substantially impact the epidemic trajectory. While numerous studies are devoted…
A Novel Occupancy Mapping Framework for Risk-Aware Path Planning in Unstructured Environments
Johann Laconte, Abderrahim Kasmi, François Pomerleau +4
In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, it is often assumed that one m…
Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas
Claudia Lopez-Zazueta, Øyvind Stavdahl, Anders Lyngvi Fougner
Objective: The design of an Artificial Pancreas (AP) to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approac…
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
Emma S. Simpson, Thomas Opitz, Jennifer L. Wadsworth
The conditional extremes framework allows for event-based stochastic modeling of dependent extremes, and has recently been extended to spatial and spatio-temporal settings. After s…
Tailoring the viscoelasticity of polymer gels of gluten proteins through solvent quality
Salvatore Costanzo, Amélie Banc, Ameur Louhichi +4
We investigate the linear viscoelasticity of polymer gels produced by the dispersion of gluten proteins in water:ethanol binary mixtures with various ethanol contents, from pure wa…
Anomaly Detection for Bivariate Signals
Marie Cottrell, Cynthia Faure, Jérôme Lacaille +1
The anomaly detection problem for univariate or multivariate time series is a critical question in many practical applications as industrial processes control, biological measures,…
Assessing the brittle crust thickness from strike-slip fault segments on Earth, Mars and Icy Moons
Frederic-Victor Donze, Yann Klinger, Viviana Bonilla-Sierra +3
Segment lengths along major strike-slip faults exhibit a size dependency related to the brittle crust thickness. These segments result in the formation of the localized 'P-shear' d…
Modeling dependent survival data through random effects with spatial correlation at the subject level
Ajmal Oodally, Estelle Kuhn, Klara Goethals +1
Dynamical phenomena such as infectious diseases are often investigated by following up subjects longitudinally, thus generating time to event data. The spatial aspect of such data…
Cellular Fourier analysis for geometrically disordered materials
Antoine Fruleux, Arezki Boudaoud
Many media are divided into elementary units with irregular shape and size, as exemplified by domains in magnetic materials, bubbles in foams, or cells in biological tissues. Such…
Importance Reweighting for Biquality Learning
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies", namely: poor q…
Revisiting Shao and Sokal's index of phylogenetic balance
François Bienvenu, Gabriel Cardona, Celine Scornavacca
Measures of phylogenetic balance, such as the Colless and Sackin indices, play an important role in phylogenetics. Unfortunately, these indices are specifically designed for phylog…
Phonon hydrodynamics in crystalline GeTe at low temperature
Kanka Ghosh, Andrzej Kusiak, Jean-Luc Battaglia
A first-principles density functional method along with the direct solution of linearized Boltzmann transport equations are employed to systematically analyze the low-temperature t…
Enhanced single-node boundary condition for the Lattice Boltzmann Method
Francesco Marson, Yann Thorimbert, Jonas Latt +1
We propose a new way to implement Dirichlet boundary conditions for complex shapes using data from a single node only, in the context of the lattice Boltzmann method. The resulting…
Solute-point defect interactions, coupled diffusion, and radiation induced segregation in fcc nickel
E. Toijer, L. Messina, C. Domain +3
Radiation-induced segregation (RIS) of solutes in materials exposed to irradiation is a well-known problem. It affects the life-time of nuclear reactor core components by favouring…
A review on asymptotic inference in stochastic differential equations with mixed-effects
Maud Delattre
This paper is a survey of recent contributions on estimation in stochastic differential equations with mixed-effects. These models involve N stochastic differential equations with…
Mobility of bidisperse mixtures during bedload transport
Rémi Chassagne, Raphaël Maurin, Julien Chauchat +1
The flow of segregated bidisperse assemblies of particles is of major importance for geophysical flows and bedload transport in particular. In the present paper, the mobility of bi…
Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process
Antoine Bichat, Christophe Ambroise, Mahendra Mariadassou
Statistical testing is classically used as an exploratory tool to search for association between a phenotype and many possible explanatory variables. This approach often leads to m…