- Benjumeda, M., C. Bielza, and P. Larrañaga, “Learning tractable Bayesian networks in the space of elimination orders“, Artificial Intelligence, vol. 274, pp. 66-90, 2019.
- Benjumeda, M., S.. Luengo-Sanchez, P. Larrañaga, and C. Bielza, “Tractable learning of Bayesian networks from partially observed data“, Pattern Recognition, vol. 91, pp. 190-199, 2019.
- Fernandez, P., C. Bielza, and P.. Larrañaga, “Random forests for regression as a weighted sum of k-potential nearest neighbors“, IEEE Access, vol. 7, issue 1, pp. 25660-25672, 2019.
- Leguey, I., C.. Bielza, and P. Larrañaga, “Circular Bayesian classifiers using wrapped Cauchy distributions“, Data & Knowledge Engineering, vol. 122, pp. 101-115, 2019.
- Leguey, I., P. Larrañaga, C. Bielza, and S. Kato, “A circular-linear dependence measure under Johnson–Wehrly distributions and its application in Bayesian networks.“, Information Sciences, vol. 486, pp. 240-253, 2019.
- Luengo-Sanchez, S., P. Larrañaga, and C. Bielza, “A directional-linear Bayesian network and its application for clustering and simulation of neural somas“, IEEE Access, vol. 7, issue 1, pp. 69907-69921, 2019.
- Mihaljevic, B., R. Benavides-Piccione, C. Bielza, P.. Larrañaga, and J. DeFelipe, “Classification of GABAergic interneurons by leading neuroscientists“, Scientific Data , vol. 6, pp. 221, 2019.
