Articles 2013

• Armañanzas, R., C. Bielza, K. R. Chaudhuri, P. Martínez-Martín, and P. Larrañaga, “Unveiling relevant non-motor Parkinson’s disease severity symptoms using a machine learning approach“, Artificial Intelligence in Medicine, vol. 58, no. 3, pp. 195-202, 2013.

• Armañanzas, R., L. Alonso-Nanclares, J. DeFelipe, A. Kastanauskaite, R. G. de Sola, J. DeFelipe, C. Bielza, and P. Larrañaga, “Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery“, PLoS ONE (most highly cited), vol. 8, no. 4, pp. e62819, 2013. 

• Bielza, C., J. A. Fernandez del Pozo, and P. Larrañaga, “Parameter control of genetic algorithms by learning and simulation of Bayesian Networks. A case study for the optimal ordering of tables“, Journal of Computer Science and Technology, vol. 28, no. 4, pp. 720-731, 2013. 

• Borchani, H., C. Bielza, , and P. Larrañaga, “Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers“, Artificial Intelligence in Medicine, vol. 57, no. 3, pp. 219-229, 2013. 

• DeFelipe, J., P. L. Lopez-Cruz, R. Benavides-Piccione, C. Bielza, P. Larrañaga, and et. al., “New insights into the classification and nomenclature of cortical GABAergic interneurons“, Nature Reviews Neuroscience, vol. 14, no. 3, pp. 202-216, 2013. 

• Flores, J. L., I. Inza, P. Larrañaga, and B. Calvo, “A new measure for gene expression biclustering based on non-parametric correlation“, Computer Methods and Programs in Biomedicine, vol. 113, no. 3, pp. 367-397, 2013. 

• García-Torres, M., R. Armañanzas, C. Bielza, and P. Larrañaga, “Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data“, Information Sciences, vol. 222, pp. 229-246, 2013. 

• Ibañez, A., C. Bielza, and P. Larrañaga, “Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009“, Scientometrics, vol. 95, no. 2, pp. 689-716, 2013. 

• Ibañez, A., P. Larrañaga, and C. Bielza, “Cluster methods for assessing research performance: exploring Spanish computer science“, Scientometrics, vol. 97, pp. 571-600, 2013. 

• Ibañez, A., C. Bielza, and P. Larrañaga, “Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías informáticas“, Revista Española de Documentación Científica, vol. 36, no. 1, pp. e002, 2013. 

• Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, “Regularized continuous estimation of distribution algorithms“, Applied Soft Computing, vol. 13, no. 5, pp. 2412–2432, 2013. 

• Larrañaga, P., H. Karshenas, C. Bielza, and R. Santana, “A review on evolutionary algorithms in Bayesian network learning and inference tasks“, Information Sciences, vol. 233, pp. 109-125, 2013. 

• Morales, D., Y. Vives-Gilabert, B. Gómez-Ansón, E. Bengoetxea, P. Larrañaga, C. Bielza, J. Pagonabarraga, J. Kulisevsky, I. Corcuera-Solano, and M. Delfino, “Predicting dementia development in Parkinson’s disease using Bayesian network classifiers“, Psychiatry Research: NeuroImaging, vol. 213, pp. 92-98, 2013. 

• Santana, R., R. Armañanzas, C. Bielza, and P. Larrañaga, “Network measures for information extraction in evolutionary algorithms“, International Journal of Computational Intelligence Systems, vol. 6, no. 6, pp. 1163-1188, 2013. 

• Santana, R., L. McGarry, C. Bielza, P. Larrañaga, and R. Yuste, “Classification of neocortical interneurons using affinity propagation“, Frontiers in Neural Circuits, vol. 7:185, 2013. 

• Vidaurre, D., C. Bielza, and P. Larrañaga, “An L1-regularized naive Bayes-inspired classifier for discarding redundant and irrelevant predictors“, International Journal on Artificial Intelligence Tools, vol. 22, no. 4, pp. 1350019, 2013. 

• Vidaurre, D., C. Bielza, and P. Larrañaga, “A survey on L1-regression“, International Statistical Review, vol. 81, no. 3, pp. 361-387, 2013. 

• Vidaurre, D., C. Bielza, and P. Larrañaga, “Classification of neural signals from sparse autoregressive features“, Neurocomputing, vol. 111, pp. 21-26, 2013. 

• Vidaurre, D., M. van Gerven, C. Bielza, P. Larrañaga, and T. Heskes, “Bayesian sparse partial least squares”, Neural Computation, vol. 25, no. 12, pp. 3318–3339, 2013. 

• Vidaurre, D., C. Bielza, and P. Larrañaga, “Sparse regularized local regression“, Computational Statistics and Data Analysis, vol. 62, pp. 122-135, 2013.