José M. Puerta

100 papers A* 2A 3B 9C 11Journal 47Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of image aesthetics assessment as a positive-unlabelled problem. Signal Process. Image Commun. Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2026	A*	`conf`	Bayesian Network Structural Consensus via Greedy Min-Cut Analysis. AAAI Pablo Torrijos, José M. Puerta, Juan A. Aledo, José A. Gámez
2026	J	`jnl`	FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. Mach. Learn. Pablo Torrijos, José A. Gámez, José M. Puerta
2025	J	`jnl`	Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. CoRR Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2025	J	`jnl`	FLARE: Fuzzy Local Agnostic Rule-Based Explanations for Closed Box Classifiers. IEEE Trans. Emerg. Top. Comput. Intell. Guillermo Fernández, Juan A. Aledo, José A. Gámez, José M. Puerta
2025	J	`jnl`	FedGES: A Federated Learning Approach for BN Structure Learning. CoRR Pablo Torrijos, José A. Gámez, José M. Puerta
2025	J	`jnl`	Federated Learning with Discriminative Naive Bayes Classifier. CoRR Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta
2025	A	`conf`	Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning. GECCO Pablo Torrijos, José A. Gámez, José M. Puerta, Juan A. Aledo
2025	J	`jnl`	Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis. CoRR Pablo Torrijos, José M. Puerta, José A. Gámez, Juan A. Aledo
2025	J	`jnl`	ODTE - An ensemble of multi-class SVM-based oblique decision trees. Expert Syst. Appl. Ricardo Montañana, José A. Gámez, José M. Puerta
2024	J	`jnl`	A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. CoRR Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2024	—	`conf`	A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees. FUZZ Guillermo Fernández, José A. Gámez, José M. Puerta, Juan A. Aledo, Jose Maria Alonso-Moral, Alberto Bugarín
2024	J	`jnl`	Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies. Int. J. Approx. Reason. Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2024	—	`conf`	Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search. IPMU (1) Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2024	J	`jnl`	Evaluation of data augmentation techniques on subjective tasks. Mach. Vis. Appl. Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2024	—	`conf`	FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José M. Puerta
2024	—	`conf`	FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. DS (2) Pablo Torrijos, José A. Gámez, José M. Puerta
2024	—	`conf`	Federated Learning with Discriminative Naive Bayes Classifier. IDEAL (2) Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta
2024	J	`jnl`	ODTE - An ensemble of multi-class SVM-based oblique decision trees. CoRR Ricardo Montañana, José A. Gámez, José M. Puerta
2024	J	`jnl`	Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion. Knowl. Based Syst. Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2024	B	`conf`	Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. CEC Pablo Torrijos, José A. Gámez, José M. Puerta
2023	C	`conf`	A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. ECSQARU Jorge D. Laborda, Pablo Torrijos, José M. Puerta, José A. Gámez
2023	C	`conf`	MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. EANN Pablo Torrijos, José A. Gámez, José M. Puerta
2023	J	`jnl`	MiniAnDE: a reduced AnDE ensemble to deal with microarray data. CoRR Pablo Torrijos, José A. Gámez, José M. Puerta
2023	J	`jnl`	Novel groundtruth transformations for the aesthetic assessment problem. Inf. Process. Manag. Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2022	J	`jnl`	Factual and Counterfactual Explanations in Fuzzy Classification Trees. IEEE Trans. Fuzzy Syst. Guillermo Fernández, Juan A. Aledo, José Antonio Gámez, José M. Puerta
2022	J	`jnl`	Ranking-based scores for the assessment of aesthetic quality in photography. Signal Process. Image Commun. Fernando Rubio, M. Julia Flores, José M. Puerta
2021	J	`jnl`	Efficient and accurate structural fusion of Bayesian networks. Inf. Fusion José M. Puerta, Juan A. Aledo, José A. Gámez, Jorge D. Laborda
2021	—	`conf`	STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. CAEPIA Ricardo Montañana, José A. Gámez, José M. Puerta
2019	—	`conf`	CiDAEN: An Online Data Science Course. HELMeTO Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José M. Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez
2019	C	`conf`	Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm. ECSQARU José M. Puerta, Juan A. Aledo, José Antonio Gámez, Jorge D. Laborda
2018	J	`jnl`	Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods. Expert Syst. J. Knowl. Eng. Pablo Bermejo, José A. Gámez, José M. Puerta
2018	—	`conf`	Bayesian Network Classifiers Under the Ensemble Perspective. PGM Jacinto Arias, José A. Gámez, José M. Puerta
2018	J	`jnl`	On the use of local search heuristics to improve GES-based Bayesian network learning. Appl. Soft Comput. Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José M. Puerta
2017	J	`jnl`	An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. Int. J. Comput. Intell. Syst. Javier Cózar, José M. Puerta, José A. Gámez
2017	J	`jnl`	CTU splitting algorithm for H.264/AVC and HEVC simultaneous encoding. J. Supercomput. Antonio Jesús Díaz-Honrubia, Johan De Praeter, Glenn Van Wallendael, José Luis Martínez, Pedro Cuenca, José M. Puerta, José A. Gámez
2017	C	`conf`	Drawing a baseline in aesthetic quality assessment. ICMV Fernando Rubio, M. Julia Flores, José M. Puerta
2017	J	`jnl`	Guest Editorial: Recent Trends in Intelligent Systems. Int. J. Intell. Syst. José A. Gámez, Francisco Herrera, José M. Puerta
2017	J	`jnl`	Integration of contextual information into the scene classification problem. Robotics Auton. Syst. Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta
2017	J	`jnl`	Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark. Knowl. Based Syst. Jacinto Arias, José A. Gámez, José M. Puerta
2017	—	`conf`	OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees. ICAISC (1) Rafael Rivera-López, Juana Canul-Reich, José A. Gámez, José M. Puerta
2017	J	`jnl`	Volume, variety and velocity in Data Science. Knowl. Based Syst. Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José M. Puerta, José C. Riquelme
2016	J	`jnl`	A scalable pairwise class interaction framework for multidimensional classification. Int. J. Approx. Reason. Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José M. Puerta
2016	J	`jnl`	Comparison between Bayesian network classifiers and SVMs for semantic localization. Expert Syst. Appl. Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta
2016	—	`conf`	Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information. ICDM Workshops Pablo Bermejo, José A. Gámez, José M. Puerta, Marco A. Esquivias, Pedro J. Tárraga
2015	—	`ed.`	Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings CAEPIA José M. Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar
2015	A	`conf`	Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José M. Puerta
2015	—	`conf`	Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. TrustCom/BigDataSE/ISPA (2) Jacinto Arias, José A. Gámez, José M. Puerta
2015	J	`jnl`	Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy. Int. J. Intell. Syst. Jacinto Arias, José A. Gámez, José M. Puerta
2014	—	`conf`	A Pairwise Class Interaction Framework for Multilabel Classification. Probabilistic Graphical Models Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José M. Puerta
2014	B	`conf`	Fast quadtree level decision algorithm for H.264/HEVC transcoder. ICIP Antonio Jesús Díaz-Honrubia, José Luis Martínez, José M. Puerta, José A. Gámez, Jan De Cock, Pedro Cuenca
2014	J	`jnl`	Speeding up incremental wrapper feature subset selection with Naive Bayes classifier. Knowl. Based Syst. Pablo Bermejo, José A. Gámez, José M. Puerta
2013	—	`conf`	Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy. CAEPIA Jacinto Arias, José A. Gámez, José M. Puerta
2013	J	`jnl`	Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes. Int. J. Approx. Reason. Juan Ignacio Alonso-Barba, Luis delaOssa, José A. Gámez, José M. Puerta
2013	B	`conf`	Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients. AIME Pablo Bermejo, Marta Lucas, José A. Rodríguez-Montes, Pedro J. Tárraga, Javier Lucas, José A. Gámez, José M. Puerta
2012	B	`conf`	Evaluation of a Thermal-Comfort Control System Using Real Data. KES Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José M. Puerta
2012	J	`jnl`	Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking. Knowl. Based Syst. Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta
2012	J	`jnl`	One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems. Prog. Artif. Intell. José A. Gámez, Juan L. Mateo, José M. Puerta
2011	J	`jnl`	A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets. Pattern Recognit. Lett. Pablo Bermejo, José A. Gámez, José M. Puerta
2011	C	`conf`	A study on different backward feature selection criteria over high-dimensional databases. ISDA Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta
2011	C	`conf`	Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods. ISDA Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta
2011	—	`conf`	Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step. ISCIS Pablo Bermejo, Luis de la Ossa, José A. Gámez, José M. Puerta
2011	—	`conf`	Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs. CAEPIA Pablo Bermejo, Luis de la Ossa, José M. Puerta
2011	J	`jnl`	Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? Appl. Intell. M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2011	J	`jnl`	Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping. Int. J. Pattern Recognit. Artif. Intell. Pablo Bermejo, José A. Gámez, José M. Puerta
2011	J	`jnl`	Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets. Expert Syst. Appl. Pablo Bermejo, José A. Gámez, José M. Puerta
2011	J	`jnl`	Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. Data Min. Knowl. Discov. José A. Gámez, Juan L. Mateo, José M. Puerta
2011	—	`conf`	Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. CAEPIA Javier Cózar, Luis de la Ossa, José M. Puerta
2011	J	`jnl`	On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. María José del Jesus, José A. Gámez, Pedro González, José M. Puerta
2011	C	`conf`	Scaling Up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes. ECSQARU Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José M. Puerta
2011	J	`jnl`	Structural learning of Bayesian networks using local algorithms based on the space of orderings. Soft Comput. Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta
2010	—	`conf`	Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. IEA/AIE (1) M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2010	—	`conf`	ISDM at ImageCLEF 2010 Fusion Task. ICPR Contests Alejandro Revuelta-Martínez, Ismael García-Varea, José M. Puerta, Luis Rodríguez
2010	—	`conf`	Improving Incremental Wrapper-Based Feature Subset Selection by Using Re-ranking. IEA/AIE (1) Pablo Bermejo, José A. Gámez, José M. Puerta
2010	B	`conf`	Learning cooperative linguistic fuzzy rules using fast local search algorithms. FUZZ-IEEE Luis delaOssa, José A. Gámez, José M. Puerta
2009	B	`conf`	Avoiding premature convergence in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Luis de la Ossa, José A. Gámez, Juan L. Mateo, José M. Puerta
2009	—	`conf`	Comparison of balancing techniques for multimedia IR over imbalanced datasets. ISCIS Pablo Bermejo, Frank Hopfgartner, José A. Gámez, José M. Puerta, Joemon M. Jose
2009	J	`jnl`	Evolutionary and metaheuristics based data mining. Soft Comput. María José del Jesus, José A. Gámez, José M. Puerta
2009	A*	`conf`	GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2009	C	`conf`	HODE: Hidden One-Dependence Estimator. ECSQARU M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2009	C	`conf`	Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. CIDM Pablo Bermejo, José A. Gámez, José M. Puerta
2009	J	`jnl`	Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. Int. J. Approx. Reason. Luis de la Ossa, José A. Gámez, José M. Puerta
2009	C	`conf`	Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. ISDA Juan Ignacio Alonso-Barba, Luis delaOssa, José M. Puerta
2008	A	`conf`	Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. GECCO José A. Gámez, Juan L. Mateo, José M. Puerta
2007	C	`conf`	A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning. ECSQARU José A. Gámez, Juan L. Mateo, José M. Puerta
2007	—	`conf`	Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search. ICEIS (2) Pablo Bermejo, José A. Gámez, José M. Puerta
2007	—	`conf`	EDNA: Estimation of Dependency Networks Algorithm. IWINAC (1) José A. Gámez, Juan L. Mateo, José M. Puerta
2007	B	`conf`	Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar. WISE José A. Gámez, Juan L. Mateo, José M. Puerta
2007	J	`jnl`	Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Syst. Appl. Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta
2007	—	`conf`	Learning Bayesian Classifiers from Dependency Network Classifiers. ICANNGA (1) José A. Gámez, Juan L. Mateo, José M. Puerta
2006	—	`conf`	Dependency networks based classifiers: learning models by using independence. Probabilistic Graphical Models José A. Gámez, Juan L. Mateo, José M. Puerta
2006	—	`conf`	Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking. Hybrid Metaheuristics Luis de la Ossa, José A. Gámez, José M. Puerta
2006	J	`jnl`	Initial approaches to the application of islands-based parallel EDAs in continuous domains. J. Parallel Distributed Comput. Luis de la Ossa, José A. Gámez, José M. Puerta
2006	—	`ch.`	Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology. Towards a New Evolutionary Computation M. Julia Flores, José A. Gámez, José M. Puerta
2006	B	`conf`	Learning weighted linguistic fuzzy rules with estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Luis delaOssa, José A. Gámez, José M. Puerta
2006	J	`jnl`	Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artif. M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta
2005	B	`conf`	Improving model combination through local search in parallel univariate EDAs. Congress on Evolutionary Computation Luis de la Ossa, José A. Gámez, José M. Puerta
2003	—	`conf`	Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach. CAEPIA Luis de la Ossa, José A. Gámez, José M. Puerta
2002	J	`jnl`	Ant colony optimization for learning Bayesian networks. Int. J. Approx. Reason. Luis M. de Campos, Juan M. Fernández-Luna, José A. Gámez, José M. Puerta
2002	J	`jnl`	Searching for the best elimination sequence in Bayesian networks by using ant colony optimization. Pattern Recognit. Lett. José A. Gámez, José M. Puerta