Articles 2001

• Inza, I., P. Larrañaga, and B. Sierra, “Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms“, International Journal of Approximate Reasoning, vol. 27, pp. 143–164, 2001. 

• Inza, I., M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, and M. Girala, “Feature subset selection by genetic algorithms and estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS“, Artificial Intelligence in Medicine, vol. 23, no. 2, pp. 187–205, 2001. 

• Peña, J. M., J. A. Lozano, and P. Larrañaga, “Performance evaluation of compromise conditional Gaussian networks for data clustering“, International Journal of Approximate Reasoning, vol. 28, pp. 23-50, 2001. 

• Peña, J. M., J. A. Lozano, P. Larrañaga, and I. Inza, “Dimensionality reduction in unsupervised learning of conditional Gaussian networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 590–603, 2001. 

• Sierra, B., N. Serrano, P. Larrañaga, E. J. Plasencia, I. Inza, J. J. Jiménez, P. Revuelta, and M. L. Mora, “Using Bayesian networks in the construction of a bi-level multi–classifier. A case study using intensive care unit patients data“, Artificial Intelligence in Medicine, vol. 22, pp. 233-248, 2001.