C. Baudrit

发表

Multi-Criteria Reverse Engineering for Food: Genesis and Ongoing Advances

E. Lutton, F. Taillandier, N. Boukhelifa, 2019, Food Engineering Reviews.

Dynamic Bayesian Networks for Modelling Food Processing: Application to the Cheese Ripening Process

Pierre-Henri Wuillemin, C. Baudrit, N. Perrot, 2009 .

Joint propagation of variability and imprecision in assessing the risk of groundwater contamination.

Didier Dubois, Cédric Baudrit, Dominique Guyonnet, 2007, Journal of contaminant hydrology.

Joint Treatment of Imprecision and Randomness in Uncertainty Propagation

Didier Dubois, Cédric Baudrit, Dominique Guyonnet, 2006 .

A probabilistic graphical model for describing the grape berry maturity

Bruno Perret, Hervé Guillemin, Daniel Picque, 2015, Comput. Electron. Agric..

Mapping ontology with probabilistic relational models: an application to transformation processes

Pierre-Henri Wuillemin, C. Baudrit, C. Manfredotti, 2015 .

Uncertainty analysis in food engineering involving imprecision and randomness

A. Hélias, C. Baudrit, 2007 .

Decision Support Tool for the Agri-Food Sector Using Data Annotated by Ontology and Bayesian Network: A Proof of Concept Applied to Milk Microfiltration

C. Baudrit, P. Buche, G. Gésan-Guiziou, 2022, Int. J. Agric. Environ. Inf. Syst..

A Decision Support System for Vine Growers Based on a Bayesian Network

J. Boursiquot, É. Matzner-Lober, C. Baudrit, 2015, Journal of Agricultural, Biological, and Environmental Statistics.

Uncertainty Processing and Risk Monitoring in Construction Projects Using Hierarchical Probabilistic Relational Models

Cédric Baudrit, Denys Breysse, Franck Taillandier, 2018, Comput. Aided Civ. Infrastructure Eng..

The use of the possibility theory to investigate the epistemic uncertainties within scenario-based earthquake risk assessments

Cédric Baudrit, Jérémy Rohmer, C. Baudrit, 2011 .

Joint propagation of probability and possibility in risk analysis: Towards a formal framework

Didier Dubois, Cédric Baudrit, Inés Couso, 2007, Int. J. Approx. Reason..

A Decision Support System for Vine Growers Based on a Bayesian Network

Jean-Michel Boursiquot, Alain Carbonneau, Philippe Abbal, 2015, Journal of Agricultural, Biological, and Environmental Statistics.

Cooperative Coevolution for Agrifood Process Modeling

Cédric Baudrit, Evelyne Lutton, Nathalie Perrot, 2013, EVOLVE.

Modeling an agrifood industrial process using cooperative coevolution Algorithms

Cédric Baudrit, Evelyne Lutton, Bruno Pinaud, 2009 .

Towards a global modelling of the Camembert-type cheese ripening process by coupling heterogeneous knowledge with dynamic Bayesian networks.

Cédric Baudrit, Nathalie Perrot, Mariette Sicard, 2010 .

Representing parametric probabilistic models tainted with imprecision

Didier Dubois, Cédric Baudrit, Nathalie Perrot, 2008, Fuzzy Sets Syst..

Extending Monte Carlo Simulations to Represent and Propagate Uncertainties in Presence of Incomplete Knowledge: Application to the Transfer of a Radionuclide in the Environment

Jean Baccou, Cédric Baudrit, Eric Chojnacki, 2008 .

Practical representations of incomplete probabilistic knowledge

Didier Dubois, Cédric Baudrit, D. Dubois, 2006, Comput. Stat. Data Anal..

Toward the integration of expert knowledge and instrumental data to control food processes: application to Camembert-type cheese ripening.

M Sicard, N Perrot, M-N Leclercq-Perlat, 2011, Journal of dairy science.

Joint Propagation and Exploitation of Probabilistic and Possibilistic Information in Risk Assessment

Didier Dubois, Cédric Baudrit, Dominique Guyonnet, 2006, IEEE Transactions on Fuzzy Systems.

Comparing Methods for Joint Objective and Subjective Uncertainty Propagation with an example in a risk assessment

Didier Dubois, Cédric Baudrit, D. Dubois, 2005, ISIPTA.

ASSESSMENT OF CHILD EXPOSURE TO LEAD ON AN IRONWORKS BROWNFIELD : UNCERTAINTY ANALYSIS

Cédric Baudrit, Dominique Guyonnet, Orléans Cédex, 2005 .

Propagation of uncertainty involving imprecision and randomness

Didier Dubois, Cédric Baudrit, Hélène Fargier, 2003, EUSFLAT Conf..

A digital learning tool based on models and simulators for food engineering (MESTRAL)

Pierre-Sylvain Mirade, Kamal Kansou, Denis Flick, 2021, Journal of Food Engineering.

Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process

Cédric Baudrit, Nathalie Perrot, Mariette Sicard, 2011, Expert Syst. Appl..

Modelling and analysis of complex food systems: State of the art and new trends

Cédric Baudrit, Ioan-Cristian Trelea, Paul Bourgine, 2011 .

A Decision Support System Coupling Fuzzy Logic and Probabilistic Graphical Approaches for the Agri-Food Industry: Prediction of Grape Berry Maturity

Bruno Perret, Hervé Guillemin, Daniel Picque, 2015, PloS one.

Dynamic Credal Networks: introduction and use in robustness analysis

Sébastien Destercke, Cédric Baudrit, Pierre-Henri Wuillemin, 2013 .

Parameter elicitation in probabilistic graphical models for modelling multi-scale food complex systems

Cédric Baudrit, Nathalie Perrot, Pierre-Henri Wuillemin, 2013 .

A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese

Cédric Baudrit, Nathalie Perrot, Mariette Sicard, 2008, KES.

Intelligent quality control systems in food processing based on fuzzy logic.

N. Perrot, C. Baudrit, C. Baudrit, 2013, ICRA 2013.