Gámez, José A.

7 publications

MLJ 2026 FedGES: A Federated Learning Approach for Bayesian Network Structure Learning Pablo Torrijos, José A. Gámez, José M. Puerta

PGM 2022 Integrating Bayesian Network Classifiers to Deal with the Partial Label Ranking Problem Juan C. Alfaro, Juan A. Aledo, José A. Gámez

MLJ 2021 Introduction to the Special Issue of the ECML PKDD 2021 Journal Track Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann

MLOSS 2019 Spark-Crowd: A Spark Package for Learning from Crowdsourced Big Data Enrique G. Rodrigo, Juan A. Aledo, José A. Gámez

PGM 2018 Bayesian Network Classifiers Under the Ensemble Perspective Jacinto Arias, José A. Gámez, José M. Puerta

ICML 2009 GAODE and HAODE: Two Proposals Based on AODE to Deal with Continuous Variables M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta

UAI 2003 Incremental Compilation of Bayesian Networks M. Julia Flores, José A. Gámez, Kristian G. Olesen