CQFD - 2016 - Annual activity report

CQFD

CQFD - 2016

Project-Team Cqfd

Members

Overall Objectives

Presentation

Research Program

Introduction
Main research topics

Application Domains

Dependability and safety

Highlights of the Year

New Software and Platforms

Package divclust
Package ClustGeo
PCAmixdata
QuantifQuantile
biips
VCN: Software for analysis of VCN
EMGView: Software for visualisation and time-frequency analysis of bio signals

New Results

Computable approximations for continuous-time Markov decision processes on Borel spaces based on empirical measures
Decentralized Proportional Load Balancing
Constrained and Unconstrained Optimal Discounted Control of Piecewise Deterministic Markov Processes
Approximate Kalman-Bucy filter for continuous-time semi-Markov jump linear systems
Investigation of asymmetry in E. coli growth rate
Impulsive Control for Continuous-Time Markov Decision Processes: A Linear Programming Approach
Conditions for the Solvability of the Linear Programming Formulation for Constrained Discounted Markov Decision Processes
Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models
A comparison of fitness-case sampling methods for genetic programming
Prediction of Expected Performance for a Genetic Programming Classifier
Evolving Genetic Programming Classifiers with Novelty Search
Regularity and Matching Pursuit Feature Extraction for the Detection of Epileptic Seizures
Probabilistic safety analysis of the collision between a space debris and a satellite with an island particle algorithm
Particle association measures and multiple target tracking
Exponential mixing properties for time inhomogeneous diffusion processes with killing
On particle Gibbs Markov chain Monte Carlo models
Sequential Monte Carlo with Highly Informative Observations
A duality formula for Feynman-Kac path particle models
Non-Asymptotic Analysis of Adaptive and Annealed Feynman-Kac Particle Models
Uniform stability of a particle approximation of the optimal filter derivative
Combining clustering of variables and feature selection using random forests: the CoV/VSURF procedure
An innovative approach combining animal performances, nutritional value and sensory quality of meat
BIG-SIR: a Sliced Inverse Regression approach for massive data

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries

Bibliography

Publications of the year
References in notes

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Section: New Software and Platforms

VCN: Software for analysis of VCN

Functional Description

VCN is a software for the analysis of the vigilance of the patient based on the analysis of the EEG signals. The code is written in Matlab and provides an interface easy to use for someone without informatics skills.

Participants: Pierrick Legrand, Julien Clauzel, Laurent Vezard, Charlotte Rodriguez, Borjan Geshkovski.
Contact: Pierrick Legrand

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