2014
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination.
Int. J. Approx. Reason., 2014

An inclusion optimal algorithm for chain graph structure learning.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs.
Int. J. Approx. Reason., 2012

2010
Learning Bayesian Networks for Regression from Incomplete Databases.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

Structural-EM for learning PDG models from incomplete data.
Int. J. Approx. Reason., 2010

Conditional Gaussian Probabilistic Decision Graphs.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
Supervised classification using probabilistic decision graphs.
Comput. Stat. Data Anal., 2009

The PDG-Mixture Model for Clustering.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2006
Learning probabilistic decision graphs.
Int. J. Approx. Reason., 2006

An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2003
On Local Optima in Learning Bayesian Networks.
Proceedings of the UAI '03, 2003