Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings. - Luis M. de Campos; José Miguel Puerta (ECSQARU, 2001)

Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs. - Luis M. de Campos; Juan M. Fernández-Luna; José Miguel Puerta (IBERAMIA, 2002)

Graphical Models to Causal Discovery from Data. - Luis M. de Campos; José A. Gámez 001; José Miguel Puerta (Probabilistic Graphical Models, 2002)

Ant colony optimization for learning Bayesian networks. - Luis M. de Campos; Juan M. Fernández-Luna; José A. Gámez 001; José M. Puerta (Int. J. Approx. Reason., 2002)

Searching for the best elimination sequence in Bayesian networks by using ant colony optimization. - José A. Gámez 001; José M. Puerta (Pattern Recognit. Lett., 2002)

Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach. - Luis de la Ossa; José A. Gámez 001; José M. Puerta (CAEPIA, 2003)

An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests. - Luis M. de Campos; Juan M. Fernández-Luna; José Miguel Puerta (Int. J. Intell. Syst., 2003)

Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. - Luis de la Ossa; José A. Gámez 001; José Miguel Puerta (PPSN, 2004)

Improving model combination through local search in parallel univariate EDAs. - Luis de la Ossa; José A. Gámez 001; José M. Puerta (Congress on Evolutionary Computation, 2005)

Constrained Score+(Local)Search Methods for Learning Bayesian Networks. - José A. Gámez 001; José Miguel Puerta (ECSQARU, 2005)

Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology. - M. Julia Flores; José A. Gámez 001; José M. Puerta (Towards a New Evolutionary Computation, 2006)

Learning weighted linguistic fuzzy rules with estimation of distribution algorithms. - Luis delaOssa; José A. Gámez 001; José M. Puerta (IEEE Congress on Evolutionary Computation, 2006)

Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking. - Luis de la Ossa; José A. Gámez 001; José M. Puerta (Hybrid Metaheuristics, 2006)

Dependency networks based classifiers: learning models by using independence. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (Probabilistic Graphical Models, 2006)

Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. - M. Julia Flores; José A. Gámez 001; Juan L. Mateo; José M. Puerta (Inteligencia Artif., 2006)

Initial approaches to the application of islands-based parallel EDAs in continuous domains. - Luis de la Ossa; José A. Gámez 001; José M. Puerta (J. Parallel Distributed Comput., 2006)

A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (ECSQARU, 2007)

Learning Bayesian Classifiers from Dependency Network Classifiers. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (ICANNGA (1), 2007)

Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (ICEIS (2), 2007)

EDNA: Estimation of Dependency Networks Algorithm. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (IWINAC (1), 2007)

Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (WISE, 2007)

Initial breeding value prediction on Manchego sheep by using rule-based systems. - Luis de la Ossa; M. Julia Flores; José A. Gámez 001; Juan L. Mateo; José M. Puerta (Expert Syst. Appl., 2007)

Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (GECCO, 2008)

Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. - Juan Ignacio Alonso-Barba; José A. Gámez 001; José Miguel Puerta; Ismael García-Varea (HIS, 2008)

Avoiding premature convergence in estimation of distribution algorithms. - Luis de la Ossa; José A. Gámez 001; Juan L. Mateo; José M. Puerta (IEEE Congress on Evolutionary Computation, 2009)

Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (CIDM, 2009)

HODE: Hidden One-Dependence Estimator. - M. Julia Flores; José A. Gámez 001; Ana M. Martínez; José M. Puerta (ECSQARU, 2009)

GAODE and HAODE: two proposals based on AODE to deal with continuous variables. - M. Julia Flores; José A. Gámez 001; Ana M. Martínez; José M. Puerta (ICML, 2009)

Comparison of balancing techniques for multimedia IR over imbalanced datasets. - Pablo Bermejo 001; Frank Hopfgartner; José A. Gámez 001; José M. Puerta; Joemon M. Jose (ISCIS, 2009)

Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. - Juan Ignacio Alonso-Barba; Luis delaOssa; José M. Puerta (ISDA, 2009)

Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. - Luis de la Ossa; José A. Gámez 001; José M. Puerta (Int. J. Approx. Reason., 2009)

Evolutionary and metaheuristics based data mining. - María José del Jesus; José A. Gámez 001; José M. Puerta (Soft Comput., 2009)

Learning cooperative linguistic fuzzy rules using fast local search algorithms. - Luis delaOssa; José A. Gámez 001; José M. Puerta (FUZZ-IEEE, 2010)

ISDM at ImageCLEF 2010 Fusion Task. - Alejandro Revuelta-Martínez; Ismael García-Varea; José M. Puerta; Luis Rodríguez (ICPR Contests, 2010)

Improving Incremental Wrapper-Based Feature Subset Selection by Using Re-ranking. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (IEA/AIE (1), 2010)

Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. - M. Julia Flores; José A. Gámez 001; Ana M. Martínez; José M. Puerta (IEA/AIE (1), 2010)

Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs. - Pablo Bermejo 001; Luis de la Ossa; José M. Puerta (CAEPIA, 2011)

Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. - Javier Cózar; Luis de la Ossa; José M. Puerta (CAEPIA, 2011)

Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step. - Pablo Bermejo 001; Luis de la Ossa; José A. Gámez 001; José M. Puerta (ISCIS, 2011)

Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods. - Juan Ignacio Alonso-Barba; Luis delaOssa; José M. Puerta (ISDA, 2011)

A study on different backward feature selection criteria over high-dimensional databases. - Pablo Bermejo 001; Luis de la Ossa; José A. Gámez 001; José M. Puerta (ISDA, 2011)

Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? - M. Julia Flores; José A. Gámez 001; Ana M. Martínez; José M. Puerta (Appl. Intell., 2011)

Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (Data Min. Knowl. Discov., 2011)

Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (Expert Syst. Appl., 2011)

Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (Int. J. Pattern Recognit. Artif. Intell., 2011)

A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (Pattern Recognit. Lett., 2011)

Structural learning of Bayesian networks using local algorithms based on the space of orderings. - Juan Ignacio Alonso-Barba; Luis delaOssa; José M. Puerta (Soft Comput., 2011)

On the discovery of association rules by means of evolutionary algorithms. - María José del Jesus; José A. Gámez 001; Pedro González 001; José M. Puerta (WIREs Data Mining Knowl. Discov., 2011)

Evaluation of a Thermal-Comfort Control System Using Real Data. - Pablo Bermejo 001; Luis Redondo; Luis delaOssa; Daniel Rodríguez; M. Julia Flores; Carmen Urea; José A. Gámez 001; Jesus Martínez-Gómez; José M. Puerta (KES, 2012)

Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking. - Pablo Bermejo 001; Luis de la Ossa; José A. Gámez 001; José M. Puerta (Knowl. Based Syst., 2012)

One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems. - José A. Gámez 001; Juan L. Mateo; José M. Puerta (Prog. Artif. Intell., 2012)

Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients. - Pablo Bermejo 001; Marta Lucas; José A. Rodríguez-Montes; Pedro J. Tárraga; Javier Lucas; José A. Gámez 001; José M. Puerta (AIME, 2013)

Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy. - Jacinto Arias; José A. Gámez 001; José M. Puerta (CAEPIA, 2013)

Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes. - Juan Ignacio Alonso-Barba; Luis delaOssa; José A. Gámez 001; José M. Puerta (Int. J. Approx. Reason., 2013)

Fast quadtree level decision algorithm for H.264/HEVC transcoder. - Antonio Jesús Díaz-Honrubia; José Luis Martínez 001; José M. Puerta; José A. Gámez 001; Jan De Cock; Pedro Cuenca 001 (ICIP, 2014)

A Pairwise Class Interaction Framework for Multilabel Classification. - Jacinto Arias; José A. Gámez 001; Thomas D. Nielsen; José M. Puerta (Probabilistic Graphical Models, 2014)

Speeding up incremental wrapper feature subset selection with Naive Bayes classifier. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (Knowl. Based Syst., 2014)

A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding. - Antonio Jesús Díaz-Honrubia; José Luis Martínez 001; Pedro Cuenca 001; José Antonio Gámez; José Miguel Puerta (DCC, 2015)

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. - Juan Ignacio Alonso-Barba; Luis de la Ossa; Olivier Regnier-Coudert; John A. W. McCall; José A. Gámez 001; José M. Puerta (GECCO, 2015)

Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. - Jacinto Arias; José A. Gámez 001; José M. Puerta (TrustCom/BigDataSE/ISPA (2), 2015)

Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier. - Sara Sáez-Atienzar; Jesus Martínez-Gómez; Juan Ignacio Alonso-Barba; José Miguel Puerta; María F. Galindo; Joaquín Jordán; Luis de la Ossa (Expert Syst. Appl., 2015)

Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy. - Jacinto Arias; José A. Gámez 001; José M. Puerta (Int. J. Intell. Syst., 2015)

Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta; Marco A. Esquivias; Pedro J. Tárraga (ICDM Workshops, 2016)

Comparison between Bayesian network classifiers and SVMs for semantic localization. - Fernando Rubio 002; Jesus Martínez-Gómez; M. Julia Flores; José M. Puerta (Expert Syst. Appl., 2016)

A scalable pairwise class interaction framework for multidimensional classification. - Jacinto Arias; José A. Gámez 001; Thomas D. Nielsen; José M. Puerta (Int. J. Approx. Reason., 2016)

Low-complexity heterogeneous architecture for H.264/HEVC video transcoding. - Antonio Jesús Díaz-Honrubia; Gabriel Cebrián-Márquez; José Luis Martínez 001; Pedro Cuenca 001; José Miguel Puerta; José Antonio Gámez (J. Real Time Image Process., 2016)

Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding. - Antonio Jesús Díaz-Honrubia; José Luis Martínez 001; Pedro Cuenca 001; José Antonio Gámez; José Miguel Puerta (IEEE Trans. Circuits Syst. Video Technol., 2016)

OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees. - Rafael Rivera-López; Juana Canul-Reich; José A. Gámez 001; José M. Puerta (ICAISC (1), 2017)

Drawing a baseline in aesthetic quality assessment. - Fernando Rubio 002; M. Julia Flores; José M. Puerta (ICMV, 2017)

An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. - Javier Cózar; José M. Puerta; José A. Gámez 001 (Int. J. Comput. Intell. Syst., 2017)

Guest Editorial: Recent Trends in Intelligent Systems. - José A. Gámez 001; Francisco Herrera; José M. Puerta (Int. J. Intell. Syst., 2017)

Volume, variety and velocity in Data Science. - Amparo Alonso-Betanzos; José A. Gámez 001; Francisco Herrera; José M. Puerta; José C. Riquelme (Knowl. Based Syst., 2017)

Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark. - Jacinto Arias; José A. Gámez 001; José M. Puerta (Knowl. Based Syst., 2017)

Integration of contextual information into the scene classification problem. - Fernando Rubio 002; Jesus Martínez-Gómez; M. Julia Flores; José M. Puerta (Robotics Auton. Syst., 2017)

CTU splitting algorithm for H.264/AVC and HEVC simultaneous encoding. - Antonio Jesús Díaz-Honrubia; Johan De Praeter; Glenn Van Wallendael; José Luis Martínez 001; Pedro Cuenca 001; José M. Puerta; José A. Gámez 001 (J. Supercomput., 2017)

Bayesian Network Classifiers Under the Ensemble Perspective. - Jacinto Arias; José A. Gámez 001; José M. Puerta (PGM, 2018)

On the use of local search heuristics to improve GES-based Bayesian network learning. - Juan Ignacio Alonso-Barba; Luis de la Ossa; José A. Gámez 001; José M. Puerta (Appl. Soft Comput., 2018)

Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods. - Pablo Bermejo 001; José A. Gámez 001; José M. Puerta (Expert Syst. J. Knowl. Eng., 2018)

Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm. - José M. Puerta; Juan A. Aledo; José Antonio Gámez; Jorge D. Laborda (ECSQARU, 2019)

CiDAEN: An Online Data Science Course. - Luis de la Ossa; Pablo Bermejo 001; Juan A. Aledo; José A. Gámez 001; José M. Puerta; Cristina Romero-González; Jacinto Arias; Javier Cózar; Enrique González Rodrigo; Juan Ignacio Alonso-Barba; Jesus Martínez-Gómez (HELMeTO, 2019)

STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. - Ricardo Montañana; José A. Gámez 001; José M. Puerta (CAEPIA, 2021)

An Application for Aesthetic Quality Assessment in Photography with Interpretability Features. - Fernando Rubio Perona; María Julia Flores Gallego; José Miguel Puerta Callejón (Entropy, 2021)

Efficient and accurate structural fusion of Bayesian networks. - José M. Puerta; Juan A. Aledo; José A. Gámez 001; Jorge D. Laborda (Inf. Fusion, 2021)

Ranking-based scores for the assessment of aesthetic quality in photography. - Fernando Rubio 002; M. Julia Flores; José M. Puerta (Signal Process. Image Commun., 2022)

Factual and Counterfactual Explanations in Fuzzy Classification Trees. - Guillermo Fernández 005; Juan A. Aledo; José Antonio Gámez; José M. Puerta (IEEE Trans. Fuzzy Syst., 2022)

MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (EANN, 2023)

A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (ECSQARU, 2023)

Novel groundtruth transformations for the aesthetic assessment problem. - Luis Gonzalez-Naharro; M. Julia Flores; Jesus Martínez-Gómez; José M. Puerta (Inf. Process. Manag., 2023)

Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (CEC, 2024)

FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (DS (2), 2024)

A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees. - Guillermo Fernández 005; José A. Gámez 001; José M. Puerta; Juan A. Aledo; Jose Maria Alonso-Moral; Alberto Bugarín (FUZZ, 2024)

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. - Guillermo Fernández 005; Riccardo Guidotti; Fosca Giannotti; Mattia Setzu; Juan A. Aledo; José A. Gámez 001; José M. Puerta (IDA (2), 2024)

Federated Learning with Discriminative Naive Bayes Classifier. - Pablo Torrijos; Juan C. Alfaro; José A. Gámez 001; José M. Puerta (IDEAL (2), 2024)

Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (IPMU (1), 2024)

Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (Int. J. Approx. Reason., 2024)

Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion. - Jorge D. Laborda; Pablo Torrijos; José M. Puerta; José A. Gámez 001 (Knowl. Based Syst., 2024)

Evaluation of data augmentation techniques on subjective tasks. - Luis Gonzalez-Naharro; M. Julia Flores; Jesus Martínez-Gómez; José M. Puerta (Mach. Vis. Appl., 2024)

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta; Juan A. Aledo (GECCO, 2025)

ODTE - An ensemble of multi-class SVM-based oblique decision trees. - Ricardo Montañana; José A. Gámez 001; José M. Puerta (Expert Syst. Appl., 2025)

FedGES: A Federated Learning Approach for BN Structure Learning. - Pablo Torrijos; José A. Gámez 001; José M. Puerta (CoRR, 2025)

Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis. - Pablo Torrijos; José M. Puerta; José A. Gámez 001; Juan A. Aledo (CoRR, 2025)