Pierre-Henri Wuillemin
Pierre-Henri Wuillemin
Sorbonne University
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Citée par
Citée par
Réseaux bayésiens
P Naïm, PH Wuillemin, P Leray, O Pourret, A Becker
Editions Eyrolles, 2011
Learning the structure of factored markov decision processes in reinforcement learning problems
T Degris, O Sigaud, PH Wuillemin
Proceedings of the 23rd international conference on Machine learning, 257-264, 2006
Top-Down Construction and Repetetive Structures Representation in Bayesian Networks.
O Bangsø, PH Wuillemin
FLAIRS Conference, 282-286, 2000
Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian …
LC Kong, PH Wuillemin, JP Bastard, N Sokolovska, S Gougis, S Fellahi, ...
The American journal of clinical nutrition 98 (6), 1385-1394, 2013
Object Oriented Bayesian Networks: A framework for top-down specification of large Bayesian networks with repetitive structures
O Bangsø, PH Wuillemin
Aalborg Universitetsforlag, 2000
Towards a global modelling of the Camembert-type cheese ripening process by coupling heterogeneous knowledge with dynamic Bayesian networks
C Baudrit, M Sicard, PH Wuillemin, N Perrot
Journal of Food Engineering 98 (3), 283-293, 2010
aGrUM: A graphical universal model framework
C Gonzales, L Torti, PH Wuillemin
International Conference on Industrial, Engineering and Other Applications …, 2017
Structured probabilistic inference
PH Wuillemin, L Torti
International Journal of Approximate Reasoning 53 (7), 946-968, 2012
Reinforcing the object-oriented aspect of probabilistic relational models
L Torti, PH Wuillemin, C Gonzales
PGM 2010-The Fifth European Workshop on Probabilistic Graphical Models, 273-280, 2010
Bayesian network structure learning using cooperative coevolution
O Barriàre, E Lutton, PH Wuillemin
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process
M Sicard, C Baudrit, MN Leclerc-Perlat, PH Wuillemin, N Perrot
Expert Systems with Applications 38 (9), 11804-11812, 2011
Using ROBDDs for inference in Bayesian networks with troubleshooting as an example
TD Nielsen, PH Wuillemin, FV Jensen, U Kjærulff
arXiv preprint arXiv:1301.3880, 2013
Chi-square tests driven method for learning the structure of factored MDPs
T Degris, O Sigaud, PH Wuillemin
arXiv preprint arXiv:1206.6842, 2012
Bayesian network structure learning from limited datasets through graph evolution
AP Tonda, E Lutton, R Reuillon, G Squillero, PH Wuillemin
European Conference on Genetic Programming, 254-265, 2012
Automation and intelligent scheduling of distributed system functional testing
LM Hillah, AP Maesano, F De Rosa, F Kordon, PH Wuillemin, R Fontanelli, ...
International journal on software tools for technology transfer 19 (3), 281-308, 2017
Focused crawling through reinforcement learning
M Han, PH Wuillemin, P Senellart
International Conference on Web Engineering, 261-278, 2018
aGrUM/pyAgrum: a toolbox to build models and algorithms for Probabilistic Graphical Models in Python
G Ducamp, C Gonzales, PH Wuillemin
International Conference on Probabilistic Graphical Models, 2020
A Dynamic Bayesian Network to represent a ripening process of a soft mould cheese
C Baudrit, PH Wuillemin, M Sicard, N Perrot
International Conference on Knowledge-Based and Intelligent Information and …, 2008
Learning probabilistic relational models using an ontology of transformation processes
M Munch, PH Wuillemin, C Manfredotti, J Dibie, S Dervaux
OTM Confederated International Conferences" On the Move to Meaningful …, 2017
The MIDAS cloud platform for testing SOA applications
S Herbold, A De Francesco, J Grabowski, P Harms, LM Hillah, F Kordon, ...
2015 IEEE 8th International Conference on Software Testing, Verification and …, 2015
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