José Miguel Puerta

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Topics

Bayesian Networks

Top Venues

Knowl. Based Syst.

Int. J. Intell. Syst.

Expert Syst. Appl.

Publications

Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José Miguel Puerta
FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) (2024)
Guillermo Fernández, José A. Gámez, José Miguel Puerta, Juan A. Aledo, Jose Maria Alonso-Moral, Alberto Bugarín
A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees. FUZZ (2024)
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José Miguel Puerta
Evaluation of data augmentation techniques on subjective tasks. Mach. Vis. Appl. 35 (4) (2024)
Jorge D. Laborda, Pablo Torrijos, José Miguel Puerta, José A. Gámez
Parallel structural learning of Bayesian networks: Iterative divide and conquer algorithm based on structural fusion. Knowl. Based Syst. 296 (2024)
Pablo Torrijos, José A. Gámez, José Miguel Puerta
Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms. CEC (2024)
Pablo Torrijos, José A. Gámez, José Miguel Puerta
MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. EANN (2023)
Jorge D. Laborda, Pablo Torrijos, José Miguel Puerta, José A. Gámez
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks. ECSQARU (2023)
Pablo Torrijos, José A. Gámez, José Miguel Puerta
MiniAnDE: a reduced AnDE ensemble to deal with microarray data. CoRR (2023)
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José Miguel Puerta
Novel groundtruth transformations for the aesthetic assessment problem. Inf. Process. Manag. 60 (4) (2023)
Guillermo Fernández, Juan A. Aledo, José Antonio Gámez, José Miguel Puerta
Factual and Counterfactual Explanations in Fuzzy Classification Trees. IEEE Trans. Fuzzy Syst. 30 (12) (2022)
Fernando Rubio, M. Julia Flores, José Miguel Puerta
Ranking-based scores for the assessment of aesthetic quality in photography. Signal Process. Image Commun. 108 (2022)
José Miguel Puerta, Juan A. Aledo, José A. Gámez, Jorge D. Laborda
Efficient and accurate structural fusion of Bayesian networks. Inf. Fusion 66 (2021)
Ricardo Montañana, José A. Gámez, José Miguel Puerta
STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. CAEPIA (2021)
Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José Miguel Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez
CiDAEN: An Online Data Science Course. HELMeTO (2019)
José Miguel Puerta, Juan A. Aledo, José Antonio Gámez, Jorge D. Laborda
Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm. ECSQARU (2019)
Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José Miguel Puerta
On the use of local search heuristics to improve GES-based Bayesian network learning. Appl. Soft Comput. 64 (2018)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Bayesian Network Classifiers Under the Ensemble Perspective. PGM (2018)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods. Expert Syst. J. Knowl. Eng. 35 (1) (2018)
Rafael Rivera-López, Juana Canul-Reich, José A. Gámez, José Miguel Puerta
OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees. ICAISC (1) (2017)
José A. Gámez, Francisco Herrera, José Miguel Puerta
Guest Editorial: Recent Trends in Intelligent Systems. Int. J. Intell. Syst. 32 (2) (2017)
Antonio Jesús Díaz-Honrubia, Johan De Praeter, Glenn Van Wallendael, José Luis Martínez, Pedro Cuenca, José Miguel Puerta, José A. Gámez
CTU splitting algorithm for H.264/AVC and HEVC simultaneous encoding. J. Supercomput. 73 (1) (2017)
Fernando Rubio, M. Julia Flores, José Miguel Puerta
Drawing a baseline in aesthetic quality assessment. ICMV (2017)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark. Knowl. Based Syst. 117 (2017)
Javier Cózar, José Miguel Puerta, José A. Gámez
An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta
Integration of contextual information into the scene classification problem. Robotics Auton. Syst. 97 (2017)
Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José Miguel Puerta, José C. Riquelme
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117 (2017)
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta
Comparison between Bayesian network classifiers and SVMs for semantic localization. Expert Syst. Appl. 64 (2016)
Pablo Bermejo, José A. Gámez, José Miguel Puerta, Marco A. Esquivias, Pedro J. Tárraga
Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information. ICDM Workshops (2016)
Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, José Antonio Gámez, José Miguel Puerta
Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding. IEEE Trans. Circuits Syst. Video Technol. 26 (1) (2016)
Antonio Jesús Díaz-Honrubia, Gabriel Cebrián-Márquez, José Luis Martínez, Pedro Cuenca, José Miguel Puerta, José Antonio Gámez
Low-complexity heterogeneous architecture for H.264/HEVC video transcoding. J. Real Time Image Process. 12 (2) (2016)
Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José Miguel Puerta
A scalable pairwise class interaction framework for multidimensional classification. Int. J. Approx. Reason. 68 (2016)
Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. GECCO (2015)
Antonio Jesús Díaz-Honrubia, José Luis Martínez, Pedro Cuenca, José Antonio Gámez, José Miguel Puerta
A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding. DCC (2015)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy. Int. J. Intell. Syst. 30 (3) (2015)
Sara Sáez-Atienzar, Jesus Martínez-Gómez, Juan Ignacio Alonso-Barba, José Miguel Puerta, María F. Galindo, Joaquín Jordán, Luis de la Ossa
Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier. Expert Syst. Appl. 42 (3) (2015)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. TrustCom/BigDataSE/ISPA (2) (2015)
Antonio Jesús Díaz-Honrubia, José Luis Martínez, José Miguel Puerta, José A. Gámez, Jan De Cock, Pedro Cuenca
Fast quadtree level decision algorithm for H.264/HEVC transcoder. ICIP (2014)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier. Knowl. Based Syst. 55 (2014)
Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José Miguel Puerta
A Pairwise Class Interaction Framework for Multilabel Classification. Probabilistic Graphical Models (2014)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy. CAEPIA (2013)
Juan Ignacio Alonso-Barba, Luis delaOssa, José A. Gámez, José Miguel Puerta
Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes. Int. J. Approx. Reason. 54 (4) (2013)
Pablo Bermejo, Marta Lucas, José A. Rodríguez-Montes, Pedro J. Tárraga, Javier Lucas, José A. Gámez, José Miguel Puerta
Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients. AIME (2013)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems. Prog. Artif. Intell. 1 (4) (2012)
Pablo Bermejo, Luis de la Ossa, José A. Gámez, José Miguel Puerta
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking. Knowl. Based Syst. 25 (1) (2012)
Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José Miguel Puerta
Evaluation of a Thermal-Comfort Control System Using Real Data. KES (2012)
Pablo Bermejo, Luis de la Ossa, José A. Gámez, José Miguel Puerta
A study on different backward feature selection criteria over high-dimensional databases. ISDA (2011)
María José del Jesus, José A. Gámez, Pedro González, José Miguel Puerta
On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. 1 (5) (2011)
Pablo Bermejo, Luis de la Ossa, José Miguel Puerta
Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs. CAEPIA (2011)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets. Pattern Recognit. Lett. 32 (5) (2011)
Pablo Bermejo, Luis de la Ossa, José A. Gámez, José Miguel Puerta
Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step. ISCIS (2011)
Juan Ignacio Alonso-Barba, Luis delaOssa, José Miguel Puerta
Structural learning of Bayesian networks using local algorithms based on the space of orderings. Soft Comput. 15 (10) (2011)
Juan Ignacio Alonso-Barba, Luis de la Ossa, José A. Gámez, José Miguel Puerta
Scaling Up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes. ECSQARU (2011)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping. Int. J. Pattern Recognit. Artif. Intell. 25 (5) (2011)
Juan Ignacio Alonso-Barba, Luis delaOssa, José Miguel Puerta
Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods. ISDA (2011)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets. Expert Syst. Appl. 38 (3) (2011)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? Appl. Intell. 34 (3) (2011)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. Data Min. Knowl. Discov. 22 (1-2) (2011)
Javier Cózar, Luis de la Ossa, José Miguel Puerta
Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. CAEPIA (2011)
Luis delaOssa, José A. Gámez, José Miguel Puerta
Learning cooperative linguistic fuzzy rules using fast local search algorithms. FUZZ-IEEE (2010)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Improving Incremental Wrapper-Based Feature Subset Selection by Using Re-ranking. IEA/AIE (1) (2010)
Alejandro Revuelta-Martínez, Ismael García-Varea, José Miguel Puerta, Luis Rodríguez
ISDM at ImageCLEF 2010 Fusion Task. ICPR Contests (2010)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. IEA/AIE (1) (2010)
María José del Jesus, José A. Gámez, José Miguel Puerta
Evolutionary and metaheuristics based data mining. Soft Comput. 13 (3) (2009)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
HODE: Hidden One-Dependence Estimator. ECSQARU (2009)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. Int. J. Approx. Reason. 50 (3) (2009)
Juan Ignacio Alonso-Barba, Luis delaOssa, José Miguel Puerta
Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings. ISDA (2009)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML (2009)
Pablo Bermejo, Frank Hopfgartner, José A. Gámez, José Miguel Puerta, Joemon M. Jose
Comparison of balancing techniques for multimedia IR over imbalanced datasets. ISCIS (2009)
Luis de la Ossa, José A. Gámez, Juan L. Mateo, José Miguel Puerta
Avoiding premature convergence in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (2009)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. CIDM (2009)
Juan Ignacio Alonso-Barba, José A. Gámez, José Miguel Puerta, Ismael García-Varea
Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. HIS (2008)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. GECCO (2008)
Pablo Bermejo, José A. Gámez, José Miguel Puerta
Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search. ICEIS (2) (2007)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
EDNA: Estimation of Dependency Networks Algorithm. IWINAC (1) (2007)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning. ECSQARU (2007)
Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta
Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Syst. Appl. 33 (1) (2007)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
Learning Bayesian Classifiers from Dependency Network Classifiers. ICANNGA (1) (2007)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar. WISE (2007)
Luis delaOssa, José A. Gámez, José Miguel Puerta
Learning weighted linguistic fuzzy rules with estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (2006)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Initial approaches to the application of islands-based parallel EDAs in continuous domains. J. Parallel Distributed Comput. 66 (8) (2006)
M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artif. 10 (29) (2006)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking. Hybrid Metaheuristics (2006)
José A. Gámez, Juan L. Mateo, José Miguel Puerta
Dependency networks based classifiers: learning models by using independence. Probabilistic Graphical Models (2006)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Improving model combination through local search in parallel univariate EDAs. Congress on Evolutionary Computation (2005)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Initial Approaches to the Application of Islands-Based Parallel EDAs in Continuous Domains. ICPP Workshops (2005)
José A. Gámez, José Miguel Puerta
Constrained Score+(Local)Search Methods for Learning Bayesian Networks. ECSQARU (2005)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. PPSN (2004)
Luis de la Ossa, José A. Gámez, José Miguel Puerta
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach. CAEPIA (2003)
Luis M. de Campos, Juan M. Fernández-Luna, José Miguel Puerta
An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests. Int. J. Intell. Syst. 18 (2) (2003)
Luis M. de Campos, Juan M. Fernández-Luna, José A. Gámez, José Miguel Puerta
Ant colony optimization for learning Bayesian networks. Int. J. Approx. Reason. 31 (3) (2002)
José A. Gámez, José Miguel Puerta
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization. Pattern Recognit. Lett. 23 (1-3) (2002)
Luis M. de Campos, José A. Gámez, José Miguel Puerta
Graphical Models to Causal Discovery from Data. Probabilistic Graphical Models (2002)
Luis M. de Campos, Juan M. Fernández-Luna, José Miguel Puerta
Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs. IBERAMIA (2002)
Luis M. de Campos, José Miguel Puerta
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings. ECSQARU (2001)