José A. Gámez
Orcid: 0000-0003-1188-1117Affiliations:
- University of Castilla-La Mancha, Spain
According to our database1,
José A. Gámez
authored at least 152 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on zbmath.org
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
2023
Int. J. Approx. Reason., September, 2023
Pattern Recognit., August, 2023
FEDA-NRP: A fixed-structure multivariate estimation of distribution algorithm to solve the multi-objective Next Release Problem with requirements interactions.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023
Proceedings of the Engineering Applications of Neural Networks, 2023
2022
IEEE Trans. Fuzzy Syst., 2022
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Integrating Bayesian network classifiers to deal with the partial label ranking problem.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
GRASP-Based Hybrid Search to Solve the Multi-objective Requirements Selection Problem.
Proceedings of the Optimization and Learning - 5th International Conference, 2022
2021
Int. J. Intell. Syst., 2021
Entropy, 2021
Data Min. Knowl. Discov., 2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Economic modelling of robotic disassembly in end-of-life product recovery for remanufacturing.
Comput. Ind. Eng., 2020
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst., 2019
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering.
Prog. Artif. Intell., 2019
J. Mach. Learn. Res., 2019
J. Comput. Appl. Math., 2019
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019
Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
2018
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018
J. Assoc. Inf. Sci. Technol., 2018
Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach.
Inf. Sci., 2018
Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods.
Expert Syst. J. Knowl. Eng., 2018
Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem.
Eur. J. Oper. Res., 2018
On the use of local search heuristics to improve GES-based Bayesian network learning.
Appl. Soft Comput., 2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
2017
J. Supercomput., 2017
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark.
Knowl. Based Syst., 2017
Inf. Fusion, 2017
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study.
Int. J. Comput. Intell. Syst., 2017
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
IEEE Trans. Circuits Syst. Video Technol., 2016
Prog. Artif. Intell., 2016
J. Real Time Image Process., 2016
Int. J. Approx. Reason., 2016
Comput. Vis. Image Underst., 2016
Using metaheuristic algorithms for parameter estimation in generalized Mallows models.
Appl. Soft Comput., 2016
Appl. Math. Comput., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy.
Int. J. Intell. Syst., 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets.
Proceedings of the ICAART 2015, 2015
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding.
Proceedings of the 2015 Data Compression Conference, 2015
2014
Prog. Artif. Intell., 2014
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier.
Knowl. Based Syst., 2014
Inf. Sci., 2014
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination.
Int. J. Approx. Reason., 2014
Appl. Soft Comput., 2014
TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation.
Proceedings of the Rough Sets and Current Trends in Computing, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
J. Parallel Distributed Comput., 2013
Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes.
Int. J. Approx. Reason., 2013
Appl. Math. Comput., 2013
Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy.
Proceedings of the Advances in Artificial Intelligence, 2013
Proceedings of the Artificial Intelligence in Medicine, 2013
2012
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems.
Prog. Artif. Intell., 2012
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking.
Knowl. Based Syst., 2012
Int. J. Approx. Reason., 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
WIREs Data Mining Knowl. Discov., 2011
A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets.
Pattern Recognit. Lett., 2011
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011
Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping.
Int. J. Pattern Recognit. Artif. Intell., 2011
Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets.
Expert Syst. Appl., 2011
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood.
Data Min. Knowl. Discov., 2011
Appl. Soft Comput., 2011
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
Appl. Intell., 2011
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
A study on different backward feature selection criteria over high-dimensional databases.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step.
Proceedings of the Computer and Information Sciences II, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Combining Image Invariant Features and Clustering Techniques for Visual Place Classification.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Proceedings of the Applications of Evolutionary Computation, 2010
2009
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms.
Int. J. Approx. Reason., 2009
Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009
Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
IEEE Trans. Multim., 2008
On the application of different evolutionary algorithms to the alignment problem in statistical machine translation.
Neurocomputing, 2008
Proceedings of the 10th International Conference on Control, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Improvement of a car racing controller by means of Ant Colony Optimization algorithms.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008
2007
Expert Syst. Appl., 2007
Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar.
Proceedings of the Web Information Systems Engineering, 2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search.
Proceedings of the ICEIS 2007, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Initial approaches to the application of islands-based parallel EDAs in continuous domains.
J. Parallel Distributed Comput., 2006
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004.
Int. J. Approx. Reason., 2006
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos.
Inteligencia Artif., 2006
Searching for alignments in SMT. A novel approach based on an Estimation of Distribution Algorithm.
Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.
Proceedings of the Towards a New Evolutionary Computation, 2006
2005
Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs.
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Euro-Par 2004 Parallel Processing, 2004
2003
Partial Abductive Inference in Bayesian Networks By Using Probability Trees.
Proceedings of the ICEIS 2003, 2003
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach.
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators.
IEEE Trans. Evol. Comput., 2002
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization.
Pattern Recognit. Lett., 2002
Int. J. Approx. Reason., 2002
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study.
Proceedings of the ICEIS 2002, 2002
Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs.
Proceedings of the Estimation of Distribution Algorithms, 2002
2001
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Int. J. Approx. Reason., 2001
Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption.
Int. J. Approx. Reason., 2001
1999
Pattern Recognit. Lett., 1999