Jose A. Gámez (ORCID: 0000-0003-1188-1117)
Jose A. Gámez (ORCID: 0000-0003-1188-1117)
Professor of Computer Science, University of Castilla-La Mancha, Albacete, Spain
Adresã de e-mail confirmatã pe uclm.es - Pagina de pornire
Citat de
Citat de
Ant colony optimization for learning Bayesian networks
LM De Campos, JM Fernandez-Luna, JA Gámez, JM Puerta
International Journal of Approximate Reasoning 31 (3), 291-311, 2002
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
JA Gámez, JL Mateo, JM Puerta
Data Mining and Knowledge Discovery 22, 106-148, 2011
Elvira: An environment for creating and using probabilistic graphical models
Elvira Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 2002
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
P Bermejo, L de la Ossa, JA Gámez, JM Puerta
Knowledge-Based Systems 25 (1), 35-44, 2012
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier
P Bermejo, JA Gámez, JM Puerta
Knowledge-Based Systems 55, 140-147, 2014
A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets
P Bermejo, JA Gámez, JM Puerta
Pattern Recognition Letters 32 (5), 701-711, 2011
Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets
P Bermejo, JA Gámez, JM Puerta
Expert Systems with Applications 38 (3), 2072-2080, 2011
Design and simulation of a thermal comfort adaptive system based on fuzzy logic and on-line learning
P Bermejo, L Redondo, L de la Ossa, D Rodríguez, J Flores, C Urea, ...
Energy and Buildings 49, 367-379, 2012
Tackling the rank aggregation problem with evolutionary algorithms
JA Aledo, JA Gámez, D Molina
Applied Mathematics and Computation 222, 632-644, 2013
A preventive model for hamstring injuries in professional soccer: Learning algorithms
F Ayala, A López-Valenciano, JAG Martín, MDS Croix, FJ Vera-Garcia, ...
International journal of sports medicine 40 (05), 344-353, 2019
Learning bayesian networks by ant colony optimisation: searching in two different spaces
LM De Campos, JA Gámez Martín, JM Puerta
Mathware & soft computing 9 (3), 251-268, 2008
On the discovery of association rules by means of evolutionary algorithms
MJ del Jesus, JA Gamez, P Gonzalez, JM Puerta
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (5 …, 2011
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Applied Intelligence 34, 372-385, 2011
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization
JA Gámez, JM Puerta
Pattern Recognition Letters 23 (1-3), 261-277, 2002
Incremental compilation of Bayesian networks
JM Flores, JA Gámez, KG Olesen
arXiv preprint arXiv:1212.2456, 2012
Learning distributed discrete Bayesian network classifiers under MapReduce with Apache spark
J Arias, JA Gamez, JM Puerta
Knowledge-Based Systems 117, 16-26, 2017
Advances in Bayesian networks
JA Gámez, S Moral, AS Cerdan
Springer, 2013
Partial abductive inference in Bayesian belief networks using a genetic algorithm
LM de Campos, JA Gámez, S Moral
Pattern Recognition Letters 20 (11-13), 1211-1217, 1999
Incremental wrapper-based subset selection with replacement: An advantageous alternative to sequential forward selection
P Bermejo, JA Gámez, JM Puerta
2009 IEEE Symposium on Computational Intelligence and Data Mining, 367-374, 2009
Partial abductive inference in Bayesian belief networks-an evolutionary computation approach by using problem-specific genetic operators
LM De Campos, JA Gamez, S Moral
IEEE Transactions on Evolutionary Computation 6 (2), 105-131, 2002
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