José A. Gámez

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 57

Top Venues

Int. J. Approx. Reason.

Prog. Artif. Intell.

Int. J. Intell. Syst.

Inf. Sci.

Publications

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)
Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Multi-dimensional Bayesian network classifiers for partial label ranking. Int. J. Approx. Reason. 160 (2023)
Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Pairwise learning for the partial label ranking problem. Pattern Recognit. 140 (2023)
Víctor Pérez-Piqueras, Pablo Bermejo, José A. Gámez
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. 124 (2023)
Pablo Torrijos, José A. Gámez, José Miguel Puerta
MiniAnDE: a reduced AnDE ensemble to deal with microarray data. CoRR (2023)
Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
Estimation of Distribution Algorithms Applied to the Next Release Problem. SOCO (2022)
Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Integrating Bayesian network classifiers to deal with the partial label ranking problem. PGM (2022)
Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
GRASP-Based Hybrid Search to Solve the Multi-objective Requirements Selection Problem. OLA (2022)
Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez
Learning decision trees for the partial label ranking problem. Int. J. Intell. Syst. 36 (2) (2021)
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. 110 (10) (2021)
José Miguel Puerta, Juan A. Aledo, José A. Gámez, Jorge D. Laborda
Efficient and accurate structural fusion of Bayesian networks. Inf. Fusion 66 (2021)
Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez
Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem. IDEAL (2021)
Ricardo Montañana, José A. Gámez, José Miguel Puerta
STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines. CAEPIA (2021)
Enrique González Rodrigo, Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez
Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem. Entropy 23 (4) (2021)
Juan A. Aledo, José A. Gámez, Alejandro Rosete
A highly scalable algorithm for weak rankings aggregation. Inf. Sci. 570 (2021)
Alejandro Zornoza Martínez, Jesus Martínez-Gómez, José A. Gámez
A Data-Driven Approach for Components Useful Life Estimation in Wind Turbines. SOCO (2021)
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. 35 (6) (2021)
Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez
Averaging-Based Ensemble Methods for the Partial Label Ranking Problem. HAIS (2020)
F. Javier Ramírez, Juan A. Aledo, José A. Gámez, Duc Truong Pham
Economic modelling of robotic disassembly in end-of-life product recovery for remanufacturing. Comput. Ind. Eng. 142 (2020)
Juan A. Aledo, José A. Gámez, David Molina
Approaching the rank aggregation problem by local search-based metaheuristics. J. Comput. Appl. Math. 354 (2019)
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)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering. Prog. Artif. Intell. 8 (3) (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data. J. Mach. Learn. Res. 20 (2019)
Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Trans. Fuzzy Syst. 27 (4) (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
Machine learning from crowds: A systematic review of its applications. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Juan A. Aledo, José A. Gámez, Alejandro Rosete
Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem. Eur. J. Oper. Res. 270 (3) (2018)
Javier Cózar, Francesco Marcelloni, José A. Gámez, Luis de la Ossa
Building efficient fuzzy regression trees for large scale and high dimensional problems. J. Big Data 5 (2018)
Javier Cózar, Luis delaOssa, José A. Gámez
Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach. Inf. Sci. (2018)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
CGLAD: Using GLAD in Crowdsourced Large Datasets. IDEAL (1) (2018)
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)
Juan A. Aledo, José A. Gámez, David Molina, Alejandro Rosete
Consensus-based journal rankings: A complementary tool for bibliometric evaluation. J. Assoc. Inf. Sci. Technol. 69 (7) (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)
Juan A. Aledo, José A. Gámez, Alejandro Rosete
Utopia in the solution of the Bucket Order Problem. Decis. Support Syst. 97 (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)
Javier Cózar, Luis de la Ossa, José A. Gámez
Generation of first-order TSK rules based on the apriori + search approach. CEC (2017)
Juan A. Aledo, José A. Gámez, Alejandro Rosete
Partial evaluation in Rank Aggregation Problems. Comput. Oper. Res. 78 (2017)
Juan A. Aledo, José A. Gámez, David Molina
Tackling the supervised label ranking problem by bagging weak learners. Inf. Fusion 35 (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)
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)
Juan A. Aledo, José A. Gámez, David Molina, Alejandro Rosete
FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking. SSCI (2016)
Jacinto Arias, Jesus Martínez-Gómez, José A. Gámez, Alba Garcia Seco de Herrera, Henning Müller
Medical image modality classification using discrete Bayesian networks. Comput. Vis. Image Underst. 151 (2016)
Gonzalo Vergara, Juan Ignacio Alonso-Barba, Emilio Soria-Olivas, José A. Gámez, Manuel Domínguez
Random extreme learning machines to predict electric load in buildings. Prog. Artif. Intell. 5 (2) (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)
Juan A. Aledo, José A. Gámez, David Molina
Using metaheuristic algorithms for parameter estimation in generalized Mallows models. Appl. Soft Comput. 38 (2016)
Juan A. Aledo, José A. Gámez, David Molina
Using extension sets to aggregate partial rankings in a flexible setting. Appl. Math. Comput. 290 (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)
Javier Cózar, Gonzalo Vergara, José A. Gámez, Emilio Soria-Olivas
Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings. IFSA-EUSFLAT (2015)
Gonzalo Vergara, Javier Cózar, Cristina Romero-González, José A. Gámez, Emilio Soria-Olivas
Comparing ELM Against MLP for Electrical Power Prediction in Buildings. IWINAC (2) (2015)
M. Julia Flores, José A. Gámez
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets. ICAART (2) (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)
Jacinto Arias, José A. Gámez, José Miguel Puerta
Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. TrustCom/BigDataSE/ISPA (2) (2015)
Javier Cózar, Luis de la Ossa, José A. Gámez
Learning TSK-0 linguistic fuzzy rules by means of local search algorithms. Appl. Soft Comput. 21 (2014)
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)
M. Julia Flores, José A. Gámez, Ana M. Martínez
Domains of competence of the semi-naive Bayesian network classifiers. Inf. Sci. 260 (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)
Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination. Int. J. Approx. Reason. 55 (1) (2014)
Jacinto Arias, José A. Gámez, Thomas D. Nielsen, José Miguel Puerta
A Pairwise Class Interaction Framework for Multilabel Classification. Probabilistic Graphical Models (2014)
Javier Cózar, Luis de la Ossa, José A. Gámez
TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation. RSCTC (2014)
Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón
Data clustering using hidden variables in hybrid Bayesian networks. Prog. Artif. Intell. 2 (2-3) (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)
Juan A. Villar, Francisco J. Andujar, José L. Sánchez, Francisco J. Alfaro, José A. Gámez, José Duato
Obtaining the optimal configuration of high-radix Combined switches. J. Parallel Distributed Comput. 73 (9) (2013)
Juan A. Aledo, José A. Gámez, David Molina
Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms. IEA/AIE (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)
Juan A. Aledo, José A. Gámez, David Molina
Tackling the rank aggregation problem with evolutionary algorithms. Appl. Math. Comput. 222 (2013)
Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) (2012)
Jens Dalgaard Nielsen, José A. Gámez, Antonio Salmerón
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs. Int. J. Approx. Reason. 53 (7) (2012)
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)
M. Julia Flores, José A. Gámez, Kristian G. Olesen
Incremental Compilation of Bayesian networks CoRR (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)
Javier Cózar, Luis delaOssa, José A. Gámez
Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space. 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, 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)
M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA (2011)
Oscar Cordón, Antonio Fernández-Caballero, José A. Gámez, Frank Hoffmann
The impact of soft computing for the progress of artificial intelligence. Appl. Soft Comput. 11 (2) (2011)
M. Julia Flores, José A. Gámez, Kristian G. Olesen
Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19 (2) (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)
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)
Jesus Martínez-Gómez, Alejandro Jiménez-Picazo, José A. Gámez, Ismael García-Varea
Combining Image Invariant Features and Clustering Techniques for Visual Place Classification. ICPR Contests (2010)
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)
Jesus Martínez-Gómez, José A. Gámez, Ismael García-Varea
Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection. EvoApplications (1) (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)
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)
M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen
The PDG-Mixture Model for Clustering. DaWaK (2009)

José A. Gámez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José A. Gámez