Pablo Torrijos

According to our database, Pablo Torrijos authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

FedGES: A Federated Learning Approach for BN Structure Learning.

Pablo Torrijos, José A. Gámez, José M. Puerta

CoRR, February, 2025

2024

Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Knowl. Based Syst., 2024

Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Int. J. Approx. Reason., 2024

Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024

Federated Learning with Discriminative Naive Bayes Classifier.

Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

FedGES: A Federated Learning Approach for Bayesian Network Structure Learning.

Pablo Torrijos, José A. Gámez, José M. Puerta

Proceedings of the Discovery Science - 27th International Conference, 2024

Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms.

Pablo Torrijos, José A. Gámez, José M. Puerta

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks.

Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data.

Pablo Torrijos, José A. Gámez, José M. Puerta

Proceedings of the Engineering Applications of Neural Networks, 2023