Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding. - David Quesada; Concha Bielza; Pedro Larrañaga (HAIS, 2021)

Long-term forecasting of multivariate time series in industrial furnaces with dynamic Gaussian Bayesian networks. - David Quesada; Gabriel Valverde; Pedro Larrañaga; Concha Bielza (Eng. Appl. Artif. Intell., 2021)

Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks. - David Quesada; Concha Bielza; Pedro Fontán; Pedro Larrañaga (Int. J. Intell. Syst., 2022)

Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks. - David Quesada; Pedro Larrañaga; Concha Bielza (CoRR, 2023)

Causal reinforcement learning based on Bayesian networks applied to industrial settings. - Gabriel Valverde; David Quesada; Pedro Larrañaga; Concha Bielza (Eng. Appl. Artif. Intell., 2023)