David Quesada

According to our database, David Quesada authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

2022

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

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

Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding.

David Quesada, Concha Bielza, Pedro Larrañaga

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021