MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (EANN, 2023)

A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (ECSQARU, 2023)

Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (CEC, 2024)

FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (DS (2), 2024)

Federated Learning with Discriminative Naive Bayes Classifier. - Pablo Torrijos; Juan C. Alfaro; José A. Gámez 001; José M. Puerta (IDEAL (2), 2024)

Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (IPMU (1), 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 001 (Int. J. Approx. Reason., 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 001 (Knowl. Based Syst., 2024)

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta; Juan A. Aledo (GECCO, 2025)

FedGES: A Federated Learning Approach for BN Structure Learning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (CoRR, 2025)

Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis. - Pablo Torrijos; José M. Puerta; José A. Gámez 001; Juan A. Aledo (CoRR, 2025)