Publications associées à Learning new physics from a machine

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

The structure in cortical microcircuits deviates from what would be expected in a purely random network, which has been seen as evidence of clustering. To address this issue, we sought to reproduce the nonrandom features of cortical circuits by considering ...

Soc Neuroscience2017

MAGIC observations of the February 2014 flare of 1ES 1011+496 and ensuing constraint of the EBL density

Thomas Günther Bretz

Context. During February-March 2014, the MAGIC telescopes observed the high-frequency peaked BL Lac 1ES 1011 + 496 (z = 0.212) in flaring state at very-high energy (VHE, E > 100 GeV). The flux reached a level of more than ten times higher than any previous ...

Edp Sciences S A2016

Outcome Prediction of Consciousness Disorders in the Acute Stage Based on a Complementary Motor Behavioural Tool

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Bogdan Draganski, Richard Frackowiak, Djalel Eddine Meskaldji

Introduction Attaining an accurate diagnosis in the acute phase for severely brain-damaged patients presenting Disorders of Consciousness (DOC) is crucial for prognostic validity; such a diagnosis determines further medical management, in terms of therapeu ...

Public Library of Science2016

Distributed spatiotemporal suppression for environmental data collection in real-world sensor networks

Alcherio Martinoli, Alexander Bahr, William Christopher Evans

Environmental processes are often severely over-sampled. As sensor networks become more ubiquitous for this purpose, increasing network longevity becomes ever more important. Radio transceivers in particular are a great source of energy consumption, and ma ...

Ieee Computer Soc2013

Numerical modeling and neural networks to identify model parameters from piezocone tests: II. Multi-parameter identification from piezocone data

Laurent Vulliet, Rafal Filip Obrzud, Andrzej Truty

This paper completes the study presented in the accompanying paper, and demonstrates a numerical algorithm for parameter prediction from the piezocone test (CPTU) data. This part deals with a development of neural network (NN) models which are able to map ...

Wiley-Blackwell2012

Dispersion operators and resistant second-order functional data analysis

Victor Panaretos, David Kraus

Inferences related to the second-order properties of functional data, as expressed by covariance structure, can become unreliable when the data are non-Gaussian or contain unusual observations. In the functional setting, it is often difficult to identify a ...

Oxford University Press2012

Modelling human perception of static facial expressions

Michel Bierlaire, Jean-Philippe Thiran, Matteo Sorci, Gianluca Antonini, Javier Cruz Mota, Thomas Robin

A recent internet based survey of over 35'000 samples has shown that when different human observers are asked to assign labels to static human facial expressions, different individuals categorize differently the same image. This fact results in a lack of a ...

2010

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations

Dimitri Nestor Alice Van De Ville

Monte Carlo (MC) simulations significantly contributed to a better understanding of laser-Doppler flowmetry (LDF). Here it is shown that the data obtained from standard MC simulations can be reinterpreted and used to extract more information such as the ph ...

Institute of Physics2009

Online optimisation and detection of process upset in semi-batch reactors using a kinetic modelling approach

Julien Léo Billeter, Konrad Hungerbühler

Process Analytical Chemistry/Technology has tremendously evolved in the last decades due to the development of multivariate online sensors that are able to monitor the properties of industrial processes in real time [1, 2]. Online monitoring of product qua ...

2008

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Learning new physics from a machine

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

MAGIC observations of the February 2014 flare of 1ES 1011+496 and ensuing constraint of the EBL density

Outcome Prediction of Consciousness Disorders in the Acute Stage Based on a Complementary Motor Behavioural Tool

Distributed spatiotemporal suppression for environmental data collection in real-world sensor networks

Numerical modeling and neural networks to identify model parameters from piezocone tests: II. Multi-parameter identification from piezocone data

Dispersion operators and resistant second-order functional data analysis

Modelling human perception of static facial expressions

Partitioning datasets based on equalities among parameters

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations

Online optimisation and detection of process upset in semi-batch reactors using a kinetic modelling approach

Graph Chatbot

Chattez avec Graph Search

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

Partitioning datasets based on equalities among parameters

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations

Online optimisation and detection of process upset in semi-batch reactors using a kinetic modelling approach

Distributed spatiotemporal suppression for environmental data collection in real-world sensor networks

Outcome Prediction of Consciousness Disorders in the Acute Stage Based on a Complementary Motor Behavioural Tool

Numerical modeling and neural networks to identify model parameters from piezocone tests: II. Multi-parameter identification from piezocone data

MAGIC observations of the February 2014 flare of 1ES 1011+496 and ensuing constraint of the EBL density

Dispersion operators and resistant second-order functional data analysis

Modelling human perception of static facial expressions