Articles 2004

• Blanco, R., P. Larrañaga, I. Inza, and B. Sierra, “Gene selection for cancer classification using wrapper approaches”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 8, pp. 1373-1390, 2004. 

• Gómez, M., and C. Bielza, “Node Deletion Sequences in Influence Diagrams Using Genetic Algorithms”, Statistics {&} Computing, vol. 14, no. 3, pp. 181-198, 2004. 

• Inza, I., P. Larrañaga, R. Blanco, and A. J. Cerrolaza, “Filter versus wrapper gene selection approaches in DNA microarray domains“, Artificial Intelligence in Medicine, no. 31, pp. 91-103, 2004. 

• Larrañaga, P., E. Menasalvas, J. M. Peña, and V. Robles, “Data mining in genomics and proteomics“, Artificial Intelligence in Medicine, no. 31, pp. iii-iv, 2004. 

• Miquelez, T., E. Bengoetxea, and P. Larrañaga, “Evolutionary computation based on Bayesian classifiers”, International Journal of Applied Mathematics and Computer Science, vol. 14, no. 3, pp. 101–115, 2004. 

• Owodunni, O. O., J. Diaz-Rozo, and S. Hinduja, “Development and Evaluation of a Low-Cost Computer Controlled Reconfigurable Rapid Tool”, Computer-Aided Design and Applications, vol. 1, issue 1-4, pp. 101–108, 2004. 

• Peña, J. M., J. A. Lozano, and P. Larrañaga, “Unsupersived learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering“, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, pp. 63-82, 2004. 

• Robles, V., P. Larrañaga, J. M. Peña, E. Menasalvas, M. S. Pérez, and V. Herves, “Bayesian networks as consensed voting system in the construction of a multi–classifier for protein secondary structure prediction“, Artificial Intelligence in Medicine, no. 31, pp. 117–136, 2004. 

• Romero, T., P. Larrañaga, and B. Sierra, “Learning Bayesian networks in the space of orderings with estimation of distribution algorithms”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 4, pp. 607–625, 2004.