José A. Gámez

Flexible learning of k-dependence Bayesian network classifiers

Arcadio Rubio, José A. Gámez, 2011, GECCO '11.

Meta-prediction of semi-naive Bayesian network classifiers based on dataset complexity characterization

M. Julia Flores, José A. Gámez, 2012 .

A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding

Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, 2015, 2015 Data Compression Conference.

Incremental Compilation of Bayesian Networks in Practice

Kristian G. Olesen, José A. Gámez, Julia Flores, 2004 .

Low-complexity heterogeneous architecture for H.264/HEVC video transcoding

Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, 2014, Journal of Real-Time Image Processing.

Supervised Classification with Bayesian Networks: A Review on Models and Applications

Ana M. Martínez, M. Julia Flores, José A. Gámez, 2012 .

Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology

José M. Puerta, M. Julia Flores, José A. Gámez, 2006, Towards a New Evolutionary Computation.

Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence

José A. Gámez, José A. Moreno, Jose A. Lozano, 2011 .

Mining the ESROM: A study of breeding value classification in Manchego sheep by means of attribute selection and construction

Juan L. Mateo, M. Julia Flores, José A. Gámez, 2008 .