• Borchani, H., G. Varando, C. Bielza, and P. Larrañaga, A survey on multi-output regression“, WIREs Data Mining and Knowledge Discovery, vol. 5, pp. 216–233, 2015. 
  • Krallinger, M., F. Leitner, and O. Rabal, “CHEMDNER: The drugs and chemical names extraction challenge”, Journal of Chemoinformatics, vol. T, no. Suppl 1, pp. S1, 2015. 
  • Larrañaga, A., C. Bielza, P. Pongrácz, T. Faragó, P. Bálint, and P. Larrañaga, “Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking”, Animal Cognition, vol. 18, no. 2, pp. 405-421, 2015. 
  • Lopez-Cruz, P. L., C. Bielza, and P. Larrañaga, “Directional naive Bayes classifiers”, Pattern Analysis and Applications, vol. 18, pp. 225-246, 2015. 
  • Luengo-Sanchez, S., C. Bielza, R. Benavides-Piccione, I. Fernaud-Espinosa, J. DeFelipe, and P. Larrañaga, “A univocal definition of the neuronal soma morphology using Gaussian mixture models”, Frontiers in Neuroanatomy, vol. 9, issue 137, 2015. 
  • Mihaljevic, B., R. Benavides-Piccione, C. Bielza, J. DeFelipe, and P. Larrañaga, “Bayesian network classifiers for categorizing cortical GABAergic interneurons”, Neuroinformatics, vol. 13, no. 2, pp. 192–208, April, 2015. 
  • Olazarán, J., M. Valentí, B. Frades, M. Ascensión Zea-Sevilla, M. Ávila-Villanueva, M. Ángel Fernández-Blázquez, M. Calero, J. Luis Dobato, J. Antonio Hernández-Tamames, B. León-Salas, L. Agüera-Ortiz, J. López-Álvarez, P. Larrañaga, C. Bielza, J. Álvarez-Linera, and P. Martínez-Martín, The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer’s disease“, Frontiers in Aging Neuroscience, vol. 7, pp. 181, 2015.