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20002026
most citedInformation theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states

479 citations

Showing 2017Show all

13 papers · 1 filter

stat.ME2017★ 1 cited

Likelihood ratio test for variance components in nonlinear mixed effects models

Charlotte Baey, Paul-Henry Cournède, Estelle Kuhn

Mixed effects models are widely used to describe heterogeneity in a population. A crucial issue when adjusting such a model to data consists in identifying fixed and random effects…

physics.soc-ph2017★ 129 cited

How social information can improve estimation accuracy in human groups

Bertrand Jayles, Hye-rin Kim, Ramón Escobedo +5

In our digital and connected societies, the development of social networks, online shopping, and reputation systems raises the question of how individuals use social information, a…

q-bio.TO2017★ 20 cited

Brain Damage and Motor Cortex Impairment in Chronic Obstructive Pulmonary Disease: Implication of Nonrapid Eye Movement Sleep Desaturation

Alain Varray, Francois Alexandre, Nelly Heraud +6

Nonrapid eye movement (NREM) sleep desaturation may cause neuronal damage due to the withdrawal of cerebrovascular reactivity. The current study (1) assessed the prevalence of NREM…

math.AP2017★ 62 cited

Ergodic behavior of non-conservative semigroups via generalized Doeblin's conditions

Vincent Bansaye, Bertrand Cloez, Pierre Gabriel

We provide quantitative estimates in total variation distance for positive semi-groups, which can be non-conservative and non-homogeneous. The techniques relies on a family of cons…

q-bio.QM2017★ 133 cited

Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics

Yann Guitton, Marie Tremblay-Franco, Gildas Le Corguillé +13

Metabolomics is a key approach in modern functional genomics and systems biology. Due to the complexity of metabolomics data, the variety of experimental designs, and the variety o…

stat.ME2017

Variational Inference for Stochastic Block Models from Sampled Data

Timothée Tabouy, Pierre Barbillon, Julien Chiquet

This paper deals with non-observed dyads during the sampling of a network and consecutive issues in the inference of the Stochastic Block Model (SBM). We review sampling designs an…

math.PR2017★ 34 cited

Probabilistic and Piecewise Deterministic models in Biology

Bertrand Cloez, Renaud Dessalles, Alexandre Genadot +3

We present recent results on Piecewise Deterministic Markov Processes (PDMPs), involved in biological modeling. PDMPs, first introduced in the probabilistic literature by Davis (19…

cs.SE2017

AutoWIG: Automatic Generation of Python Bindings for C++ Libraries

Pierre Fernique, Christophe Pradal

Most of Python and R scientific packages incorporate compiled scientific libraries to speed up the code and reuse legacy libraries. While several semi-automatic solutions exist to…

cs.DL2017★ 49 cited

Improving fitness: Mapping research priorities against societal needs on obesity

Lorenzo Cassi, Agénor Lahatte, Ismael Rafols +2

Science policy is increasingly shifting towards an emphasis in societal problems or grand challenges. As a result, new evaluative tools are needed to help assess not only the knowl…

cs.SI2017

Node-centric community detection in multilayer networks with layer-coverage diversification bias

Roberto Interdonato, Andrea Tagarelli, Dino Ienco +2

The problem of node-centric, or local, community detection in information networks refers to the identification of a community for a given input node, having limited information ab…

physics.bio-ph2017★ 64 cited

A new scenario for gravity detection in plants: the position sensor hypothesis

Oliver Pouliquen, Yoël Forterre, Antoine Bérut +4

The detection of gravity plays a fundamental role during the growth and evolution of plants. Although progress has been made in our understanding of the molecular, cellular and phy…

q-bio.OT2017★ 40 cited

Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of Biomass in High Biomass Forested Areas

Mohammad El Hajj, Nicolas Baghdadi, Ibrahim Fayad +3

Mapping forest AGB (Above Ground Biomass) is of crucial importance to estimate the carbon emissions associated with tropical deforestation. This study proposes a method to overcome…

cs.DB2017

Cost Models for Selecting Materialized Views in Public Clouds

Romain Perriot, Jérémy Pfeifer, Laurent D 'Orazio +3

Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set o…