Articles 2009

• Armañanzas, R., B. Calvo, I. Inza, M. López-Hoyos, V. Martínez-Taboada, E. Ucar, I. Bernales, A. Fullaondo, P. Larrañaga, and A. M. Zubiaga, “Microarray analysis of autoimmune diseases by machine learning procedures”, IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 3, pp. 341-350, 2009. 

• Bielza, C., V. Robles, and P. Larrañaga, “Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers“, Methods of Information in Medicine, vol. 48, no. 3, pp. 236-241, 2009. 

• Correa, M., C. Bielza, and J. Pamies-Teixeira, “Comparison of Bayesian Networks and Artificial Neural Networks for Quality Detection in a Machining Process“, Expert Systems with Applications (most highly cited), vol. 36, pp. 7270-7279 , 2009. 

• Cuesta, I., C. Bielza, P. Larrañaga, M. Cuenca-Estrella, F. Laguna, D. Rodríguez-Pardo, B. Almirante, A. Pahissa, and J. L. Rodriguez-Tudela, “Data Mining Validation of EUCAST Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing“, Antimicrobial Agents and Chemotherapy, vol. 53, no. 7, pp. 2949-2954, 2009. 

• Ibañez, A., P. Larrañaga, and C. Bielza, “Predicting Citation Count of Bioinformatics Papers within Four Years of Publication”, Bioinformatics, vol. 25, no. 24, pp. 3303-3309, 2009. 

• Pérez, A., P. Larrañaga, and I. Inza, “Bayesian classifiers based on kernel estimation: Flexible classifiers“, International Journal of Approximate Reasoning, vol. 50, no. 2, pp. 341-362, 2009. 

• Romero, T., and P. Larrañaga, “Triangulation of Bayesian networks with recursive estimation of distribution algorithms“, International Journal of Approximate Reasoning, vol. 50, no. 3, pp. 472-484, 2009.