Olivier FRANÇOIS 's HomepageResearch Interests
- Graphical models learning methods for
- Bayesian networks,
- Markovian and semi-markovian models,
- Conditional random fields,
- Influence diagrams and Markov decision process,
- Chain graphs,
- Multi-entity bayesian networks,
- Automated knowledge discovery as
- Causal discovery,
- Identification of latent variables,
- Temporal/dynamic influences,
- Hierarchical dependences,
- Machine Learning algorithms as
- Discriminative methods,
- Clustering algorithms,
- Exponential family, kernel methods and CRF,
- Modelisation and Simulation of complex systems.
Temporal Bayesian Network Modeling Maintenance Strategies
Prevention of Broken Rails
I am actually assistant researcher on a project with the
Bombardier transport
This work is done at the french
National Institute for Transport and Safety Research
in the GRETTIA
and in the team of
Diagnosis and Maintenance.
Temporal Bayesian Network Modeling Maintenance Strategies
Prevention of Broken Rails
I have been assistant researcher on a project with the
Autonomous control center of Parisian transport
to evaluate the security level of the future implementation of the new
train positionning system to evaluate the security level of new
maintenance strategies that come with.
Our work consist in building a model of the rail degradation together
with a modelisation of the maintenance strategies to simulate scenarios
to evaluate the quality of the maintenance.
We have chose to use Partialy Observed Markov Decision Processes and
learning from datasets and learning from experts knowledge together
with experience return to build the model.
This work is done at the french
National Institute for Transport and Safety Research (INRETS of Arcueil)
in the New Technologies Laboratory (LTN)
and in the team of
Diagnosis and Maintenance of Guided Transport Systems.
Energy consumption Sociotechnical modelisation
Modeling Belief Network for Carbon Reduction
CaRB is a major research project funded by the EPSRC and Carbon Trust
as part of Carbon Vision Buildings (CVB) - a research programme aimed at reducing carbon emissions from the
UK building stock. CVB has been formed out of the Carbon Vision Partnership of the EPSRC and the Carbon Trust,
and with the support of the ESRC.
My work in this project could be seen here.
PhD Thesis
From Bayesian Network Structure Learning to Pattern Recognition from Incomplete Knowledge.
This work was done at the
Computer Science, Information Processing, and Systems Laboratory
(LITIS, Rouen, Normandie, France)
in the
Perception and Machine Learning team.
My supervisor was Pr. Philippe LERAY.
Structure Learning Package
All the function codes I realize during my PhD are freely available
for use.
I am not responsible of trouble using those function.
They are encoded using Matlab
6.1.
One could download this package (which need the installation of the
Bayes Net toolbox first)
in a stable version on the
project page or an unstable version
here.
One could find support on the
BNT mailing list or in french on the
French BNT site
or simply by mailing me.
The Structure Learning Package page.
Master Thesis
Utilisation des réseaux bayésiens pour l'aide au diagnostique médical
To achieve my master's degree, I realized a thesis on the use of bayesian networks to perform medical diagnosis.I explored the performances of many classifiers based on bayesian networks, from the discrete naive bayes structure, mixte discrete and continous bayesian networks, the use of mixture of experts or the use of structure learning to obtain models.
My application were the Heart disease datasets from UCI repository. The paper is available in french.
This work was selected to appear in the french Artificial Intelligence Journals [draft]. top