José A. Gámez

180 papers A* 2A 5B 13C 16Misc 1Journal 90Unranked 46

Year	Rank	Type	Title / Venue / Authors
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
2026	J	`jnl`	Intelligent support for agile release planning: an empirical evaluation of ProjectION. Autom. Softw. Eng. Víctor Pérez-Piqueras, Pablo Bermejo, José A. Gámez
2025	J	`jnl`	A consensus set for the aggregation of partial rankings: The case of the Optimal Set of Bucket Orders Problem. Inf. Fusion Juan A. Aledo, José A. Gámez, Alejandro Rosete
2025	J	`jnl`	A consensus set for the aggregation of partial rankings: the case of the Optimal Set of Bucket Orders Problem. CoRR Juan A. Aledo, José A. Gámez, Alejandro Rosete
2025	B	`conf`	Agile Effort Estimation Improved by Feature Selection and Model Explainability. ENASE Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
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`	Estimation of distribution algorithms with solution subset selection for the next release problem. Log. J. IGPL Víctor Pérez-Piqueras, Pablo Bermejo López, 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	J	`jnl`	Efficient ensembles of distance-based label ranking trees. Expert Syst. J. Knowl. Eng. Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, 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	—	`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`	Label ranking oblique trees. Knowl. Based Syst. Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez
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	J	`jnl`	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. Víctor Pérez-Piqueras, Pablo Bermejo, José A. Gámez
2023	B	`conf`	Hybrid Multi-Objective Relinked GRASP for the constrained Next Release Problem. TrustCom Víctor Pérez-Piqueras, Pablo Bermejo, 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`	Multi-dimensional Bayesian network classifiers for partial label ranking. Int. J. Approx. Reason. Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2023	J	`jnl`	Pairwise learning for the partial label ranking problem. Pattern Recognit. Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2022	—	`conf`	Estimation of Distribution Algorithms Applied to the Next Release Problem. SOCO Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
2022	—	`conf`	GRASP-Based Hybrid Search to Solve the Multi-objective Requirements Selection Problem. OLA Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
2022	—	`conf`	Integrating Bayesian network classifiers to deal with the partial label ranking problem. PGM Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2021	—	`conf`	A Data-Driven Approach for Components Useful Life Estimation in Wind Turbines. SOCO Alejandro Zornoza Martínez, Jesus Martínez-Gómez, José A. Gámez
2021	J	`jnl`	A highly scalable algorithm for weak rankings aggregation. Inf. Sci. Juan A. Aledo, José A. Gámez, Alejandro Rosete
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	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	J	`jnl`	Learning decision trees for the partial label ranking problem. Int. J. Intell. Syst. Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2021	J	`jnl`	Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem. Entropy Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2021	C	`conf`	Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem. IDEAL Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2021	—	`conf`	STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. CAEPIA Ricardo Montañana, José A. Gámez, José M. Puerta
2020	Misc	`conf`	Averaging-Based Ensemble Methods for the Partial Label Ranking Problem. HAIS Juan C. Alfaro, Juan A. Aledo, José A. Gámez
2020	J	`jnl`	Economic modelling of robotic disassembly in end-of-life product recovery for remanufacturing. Comput. Ind. Eng. F. Javier Ramírez, Juan A. Aledo, José A. Gámez, Duc Truong Pham
2019	J	`jnl`	A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Trans. Fuzzy Syst. Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez
2019	J	`jnl`	Approaching the rank aggregation problem by local search-based metaheuristics. J. Comput. Appl. Math. Juan A. Aledo, José A. Gámez, David Molina
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	J	`jnl`	Machine learning from crowds: A systematic review of its applications. WIREs Data Mining Knowl. Discov. Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
2019	J	`jnl`	Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering. Prog. Artif. Intell. Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
2019	J	`jnl`	spark-crowd: A Spark Package for Learning from Crowdsourced Big Data. J. Mach. Learn. Res. Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
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	J	`jnl`	Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem. Eur. J. Oper. Res. Juan A. Aledo, José A. Gámez, Alejandro Rosete
2018	—	`conf`	Bayesian Network Classifiers Under the Ensemble Perspective. PGM Jacinto Arias, José A. Gámez, José M. Puerta
2018	J	`jnl`	Building efficient fuzzy regression trees for large scale and high dimensional problems. J. Big Data Javier Cózar, Francesco Marcelloni, José A. Gámez, Luis de la Ossa
2018	—	`conf`	CGLAD: Using GLAD in Crowdsourced Large Datasets. IDEAL (1) Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
2018	J	`jnl`	Consensus-based journal rankings: A complementary tool for bibliometric evaluation. J. Assoc. Inf. Sci. Technol. Juan A. Aledo, José A. Gámez, David Molina, Alejandro Rosete
2018	J	`jnl`	Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach. Inf. Sci. Javier Cózar, Luis delaOssa, José A. Gámez
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	B	`conf`	Generation of first-order TSK rules based on the apriori + search approach. CEC Javier Cózar, Luis de la Ossa, José A. Gámez
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`	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`	Partial evaluation in Rank Aggregation Problems. Comput. Oper. Res. Juan A. Aledo, José A. Gámez, Alejandro Rosete
2017	J	`jnl`	Tackling the supervised label ranking problem by bagging weak learners. Inf. Fusion Juan A. Aledo, José A. Gámez, David Molina
2017	J	`jnl`	Utopia in the solution of the Bucket Order Problem. Decis. Support Syst. Juan A. Aledo, José A. Gámez, Alejandro Rosete
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	—	`ed.`	Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings CAEPIA Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
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
2016	—	`conf`	FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking. SSCI Juan A. Aledo, José A. Gámez, David Molina, Alejandro Rosete
2016	J	`jnl`	Medical image modality classification using discrete Bayesian networks. Comput. Vis. Image Underst. Jacinto Arias, Jesus Martínez-Gómez, José A. Gámez, Alba Garcia Seco de Herrera, Henning Müller
2016	J	`jnl`	Random extreme learning machines to predict electric load in buildings. Prog. Artif. Intell. Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas, José A. Gámez, Manuel Domínguez
2016	J	`jnl`	Using extension sets to aggregate partial rankings in a flexible setting. Appl. Math. Comput. Juan A. Aledo, José A. Gámez, David Molina
2016	J	`jnl`	Using metaheuristic algorithms for parameter estimation in generalized Mallows models. Appl. Soft Comput. Juan A. Aledo, José A. Gámez, David Molina
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`	Comparing ELM Against MLP for Electrical Power Prediction in Buildings. IWINAC (2) Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas
2015	—	`conf`	Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. IFSA-EUSFLAT Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
2015	—	`conf`	Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets. ICAART (2) M. Julia Flores, José A. Gámez
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	J	`jnl`	A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination. Int. J. Approx. Reason. Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez
2014	J	`jnl`	Data clustering using hidden variables in hybrid Bayesian networks. Prog. Artif. Intell. Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón
2014	J	`jnl`	Domains of competence of the semi-naive Bayesian network classifiers. Inf. Sci. M. Julia Flores, José A. Gámez, Ana M. Martínez
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`	Learning TSK-0 linguistic fuzzy rules by means of local search algorithms. Appl. Soft Comput. Javier Cózar, Luis de la Ossa, José A. Gámez
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
2014	—	`conf`	TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation. RSCTC Javier Cózar, Luis de la Ossa, José A. Gámez
2013	C	`conf`	Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms. IEA/AIE Juan A. Aledo, José A. Gámez, David Molina
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`	Obtaining the optimal configuration of high-radix Combined switches. J. Parallel Distributed Comput. Juan A. Villar, Francisco J. Andujar, José L. Sánchez, Francisco J. Alfaro, José A. Gámez, José Duato
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
2013	J	`jnl`	Tackling the rank aggregation problem with evolutionary algorithms. Appl. Math. Comput. Juan A. Aledo, José A. Gámez, David Molina
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`	Incremental Compilation of Bayesian networks CoRR M. Julia Flores, José A. Gámez, Kristian G. Olesen
2012	J	`jnl`	Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs. Int. J. Approx. Reason. Jens Dalgaard Nielsen, José A. Gámez, Antonio Salmerón
2012	—	`conf`	Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez
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	—	`ed.`	Advances in Artificial Intelligence - 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings CAEPIA José Antonio Lozano, José A. Gámez, José A. Moreno
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	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`	Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. M. Julia Flores, José A. Gámez, Kristian G. Olesen
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	C	`conf`	Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space. ISDA Javier Cózar, Luis delaOssa, José A. Gámez
2011	C	`conf`	Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
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`	The impact of soft computing for the progress of artificial intelligence. Appl. Soft Comput. Oscar Cordón, Antonio Fernández-Caballero, José A. Gámez, Frank Hoffmann
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`	Combining Image Invariant Features and Clustering Techniques for Visual Place Classification. ICPR Contests Jesus Martínez-Gómez, Alejandro Jiménez-Picazo, José A. Gámez, Ismael García-Varea
2010	—	`conf`	Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection. EvoApplications (1) Jesus Martínez-Gómez, José A. Gámez, Ismael García-Varea
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	B	`conf`	The PDG-Mixture Model for Clustering. DaWaK M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen
2009	C	`conf`	Using Genetic Algorithms for Real-Time Object Detection. RoboCup Jesus Martínez-Gómez, José A. Gámez, Ismael García-Varea, Vicente Matellán
2008	C	`conf`	An improved Markov-based localization approach by using image quality evaluation. ICARCV José A. Gámez, Ismael García-Varea, Jesus Martínez-Gómez
2008	C	`conf`	Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. HIS Juan Ignacio Alonso-Barba, José A. Gámez, José Miguel Puerta, Ismael García-Varea
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
2008	—	`conf`	Improvement of a car racing controller by means of Ant Colony Optimization algorithms. CIG Luis delaOssa, José A. Gámez, Verónica López
2008	J	`jnl`	Low-Complexity Heterogeneous Video Transcoding Using Data Mining. IEEE Trans. Multim. Gerardo Fernández-Escribano, Jens Bialkowski, José A. Gámez, Hari Kalva, Pedro Cuenca, Luis Orozco-Barbosa, André Kaup
2008	J	`jnl`	On the application of different evolutionary algorithms to the alignment problem in statistical machine translation. Neurocomputing Luis Rodríguez, Ismael García-Varea, José A. Gámez
2008	—	`ch.`	Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. Innovations in Bayesian Networks M. Julia Flores, José A. Gámez, Serafín Moral
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	—	`conf`	Searching for alignments in SMT. A novel approach based on an Estimation of Distribution Algorithm. WMT@HLT-NAACL Luis Rodríguez, Ismael García-Varea, José A. Gámez
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
2006	J	`jnl`	Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
2006	—	`conf`	The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models M. Julia Flores, José A. Gámez, Serafín Moral
2006	—	`conf`	Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Probabilistic Graphical Models José A. Gámez, Rafael Rumí, Antonio Salmerón
2005	C	`conf`	Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU M. Julia Flores, José A. Gámez, Serafín Moral
2005	—	`conf`	Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction. KES (2) M. Julia Flores, José A. Gámez
2005	C	`conf`	Constrained Score+(Local)Search Methods for Learning Bayesian Networks. ECSQARU José A. Gámez, José Miguel 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
2005	—	`conf`	Initial Approaches to the Application of Islands-Based Parallel EDAs in Continuous Domains. ICPP Workshops Luis de la Ossa, José A. Gámez, José Miguel Puerta
2004	—	`conf`	A Methodology to Evaluate the Effectiveness of Traffic Balancing Algorithms. Euro-Par J. E. Villalobos, José L. Sánchez, José A. Gámez, José Carlos Sancho, Antonio Robles
2004	A	`conf`	Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. PPSN Luis de la Ossa, José A. Gámez, José Miguel 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
2003	A	`conf`	Incremental compilation of Bayesian networks. UAI M. Julia Flores, José A. Gámez, Kristian G. Olesen
2003	—	`conf`	Partial Abductive Inference in Bayesian Networks By Using Probability Trees. ICEIS (2) Luis M. de Campos, José A. Gámez, Serafín Moral
2003	J	`jnl`	Probabilistic graphical models. Int. J. Intell. Syst. José A. Gámez, Antonio Salmerón
2003	J	`jnl`	Triangulation of Bayesian networks by retriangulation. Int. J. Intell. Syst. M. Julia Flores, José A. Gámez
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	—	`conf`	Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study. ICEIS M. Julia Flores, José A. Gámez
2002	—	`ed.`	First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002 - Cuenca (Spain), Electronic Proceedings Probabilistic Graphical Models José A. Gámez, Antonio Salmerón
2002	—	`conf`	Graphical Models to Causal Discovery from Data. Probabilistic Graphical Models Luis M. de Campos, José A. Gámez, José Miguel Puerta
2002	—	`ch.`	Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs. Estimation of Distribution Algorithms L. M. Campos, José A. Gámez, Pedro Larrañaga, Serafín Moral, Txomin Romero
2002	J	`jnl`	Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators. IEEE Trans. Evol. Comput. Luis M. de Campos, José A. Gámez, Serafín Moral
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
2001	J	`jnl`	Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption. Int. J. Approx. Reason. Luis M. de Campos, José A. Gámez, Serafín Moral
2001	J	`jnl`	Partial abductive inference in Bayesian belief networks by simulated annealing. Int. J. Approx. Reason. Luis M. de Campos, José A. Gámez, Serafín Moral
2001	J	`jnl`	Simplifying Explanations in Bayesian Belief Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Luis M. de Campos, José A. Gámez, Serafín Moral
1999	J	`jnl`	Partial abductive inference in Bayesian belief networks using a genetic algorithm. Pattern Recognit. Lett. Luis M. de Campos, José A. Gámez, Serafín Moral