José Miguel Puerta
Orcid: 0000-0002-9164-5191Affiliations:
- University of Castilla-La Mancha, Albacete, Spain
According to our database1,
José Miguel Puerta
authored at least 95 papers
between 2001 and 2024.
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Bibliography
2024
Mach. Vis. Appl., July, 2024
Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion.
Knowl. Based Syst., 2024
Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies.
Int. J. Approx. Reason., 2024
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Inf. Process. Manag., 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
Signal Process. Image Commun., 2022
2021
An Application for Aesthetic Quality Assessment in Photography with Interpretability Features.
Entropy, 2021
Proceedings of the Advances in Artificial Intelligence, 2021
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
2018
Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods.
Expert Syst. J. Knowl. Eng., 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
2017
J. Supercomput., 2017
Robotics Auton. Syst., 2017
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark.
Knowl. Based Syst., 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 Tenth International Conference on Machine Vision, 2017
Proceedings of the Artificial Intelligence and Soft Computing, 2017
2016
IEEE Trans. Circuits Syst. Video Technol., 2016
J. Real Time Image Process., 2016
Int. J. Approx. Reason., 2016
Expert Syst. Appl., 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
Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier.
Expert Syst. Appl., 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding.
Proceedings of the 2015 Data Compression Conference, 2015
2014
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier.
Knowl. Based Syst., 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes.
Int. J. Approx. Reason., 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
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
2011
WIREs Data Mining Knowl. Discov., 2011
Structural learning of Bayesian networks using local algorithms based on the space of orderings.
Soft Comput., 2011
A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets.
Pattern Recognit. Lett., 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
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
Appl. Intell., 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
Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods.
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 Advances in Artificial Intelligence, 2011
Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs.
Proceedings of the Advances in Artificial Intelligence, 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
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms.
Int. J. Approx. Reason., 2009
Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 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
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
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
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
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos.
Inteligencia Artif., 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
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
2003
An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests.
Int. J. Intell. Syst., 2003
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach.
Proceedings of the Current Topics in Artificial Intelligence, 2003
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
Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs.
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001