José A. Gámez

Affiliations:
  • University of Castilla-La Mancha, Spain


According to our database1, José A. Gámez authored at least 142 papers between 1999 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A highly scalable algorithm for weak rankings aggregation.
Inf. Sci., 2021

Efficient and accurate structural fusion of Bayesian networks.
Inf. Fusion, 2021

Learning decision trees for the partial label ranking problem.
Int. J. Intell. Syst., 2021

Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem.
Entropy, 2021

Introduction to the special issue of the ECML PKDD 2021 journal track.
Data Min. Knowl. Discov., 2021

A Data-Driven Approach for Components Useful Life Estimation in Wind Turbines.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines.
Proceedings of the Advances in Artificial Intelligence, 2021

2020
Economic modelling of robotic disassembly in end-of-life product recovery for remanufacturing.
Comput. Ind. Eng., 2020

Averaging-Based Ensemble Methods for the Partial Label Ranking Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
Machine learning from crowds: A systematic review of its applications.
WIREs Data Mining Knowl. Discov., 2019

A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst., 2019

Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering.
Prog. Artif. Intell., 2019

spark-crowd: A Spark Package for Learning from Crowdsourced Big Data.
J. Mach. Learn. Res., 2019

Approaching the rank aggregation problem by local search-based metaheuristics.
J. Comput. Appl. Math., 2019

CiDAEN: An Online Data Science Course.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018

Consensus-based journal rankings: A complementary tool for bibliometric evaluation.
J. Assoc. Inf. Sci. Technol., 2018

Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach.
Inf. Sci., 2018

Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods.
Expert Syst. J. Knowl. Eng., 2018

Approaching rank aggregation problems by using evolution strategies: The case of the optimal bucket order problem.
Eur. J. Oper. Res., 2018

On the use of local search heuristics to improve GES-based Bayesian network learning.
Appl. Soft Comput., 2018

Bayesian Network Classifiers Under the Ensemble Perspective.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

CGLAD: Using GLAD in Crowdsourced Large Datasets.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
CTU splitting algorithm for H.264/AVC and HEVC simultaneous encoding.
J. Supercomput., 2017

Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark.
Knowl. Based Syst., 2017

Volume, variety and velocity in Data Science.
Knowl. Based Syst., 2017

Tackling the supervised label ranking problem by bagging weak learners.
Inf. Fusion, 2017

Guest Editorial: Recent Trends in Intelligent Systems.
Int. J. Intell. Syst., 2017

An Application of Dynamic Bayesian Networks to Condition Monitoring and Fault Prediction in a Sensored System: a Case Study.
Int. J. Comput. Intell. Syst., 2017

Utopia in the solution of the Bucket Order Problem.
Decis. Support Syst., 2017

Partial evaluation in Rank Aggregation Problems.
Comput. Oper. Res., 2017

OC1-DE: A Differential Evolution Based Approach for Inducing Oblique Decision Trees.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Generation of first-order TSK rules based on the apriori + search approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Adaptive Fast Quadtree Level Decision Algorithm for H.264 to HEVC Video Transcoding.
IEEE Trans. Circuits Syst. Video Technol., 2016

Random extreme learning machines to predict electric load in buildings.
Prog. Artif. Intell., 2016

Low-complexity heterogeneous architecture for H.264/HEVC video transcoding.
J. Real Time Image Process., 2016

A scalable pairwise class interaction framework for multidimensional classification.
Int. J. Approx. Reason., 2016

Medical image modality classification using discrete Bayesian networks.
Comput. Vis. Image Underst., 2016

Using metaheuristic algorithms for parameter estimation in generalized Mallows models.
Appl. Soft Comput., 2016

Using extension sets to aggregate partial rankings in a flexible setting.
Appl. Math. Comput., 2016

FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade-off between Efficiency and Accuracy.
Int. J. Intell. Syst., 2015

Scalable Learning of k-dependence Bayesian Classifiers under MapReduce.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Comparing ELM Against MLP for Electrical Power Prediction in Buildings.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets.
Proceedings of the ICAART 2015, 2015

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

A Data-Driven Probabilistic CTU Splitting Algorithm for Fast H.264/HEVC Video Transcoding.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Data clustering using hidden variables in hybrid Bayesian networks.
Prog. Artif. Intell., 2014

Speeding up incremental wrapper feature subset selection with Naive Bayes classifier.
Knowl. Based Syst., 2014

Domains of competence of the semi-naive Bayesian network classifiers.
Inf. Sci., 2014

A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination.
Int. J. Approx. Reason., 2014

Learning TSK-0 linguistic fuzzy rules by means of local search algorithms.
Appl. Soft Comput., 2014

TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

A Pairwise Class Interaction Framework for Multilabel Classification.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Fast quadtree level decision algorithm for H.264/HEVC transcoder.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Obtaining the optimal configuration of high-radix Combined switches.
J. Parallel Distributed Comput., 2013

Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes.
Int. J. Approx. Reason., 2013

Tackling the rank aggregation problem with evolutionary algorithms.
Appl. Math. Comput., 2013

Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

Learning more Accurate Bayesian Networks in the CHC Approach by Adjusting the Trade-Off between Efficiency and Accuracy.
Proceedings of the Advances in Artificial Intelligence, 2013

Single- and Multi-label Prediction of Burden on Families of Schizophrenia Patients.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems.
Prog. Artif. Intell., 2012

Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking.
Knowl. Based Syst., 2012

Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs.
Int. J. Approx. Reason., 2012

Evaluation of a Thermal-Comfort Control System Using Real Data.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
On the discovery of association rules by means of evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2011

A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets.
Pattern Recognit. Lett., 2011

Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

Improving Incremental Wrapper-Based Subset Selection via Replacement and Early Stopping.
Int. J. Pattern Recognit. Artif. Intell., 2011

Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets.
Expert Syst. Appl., 2011

Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood.
Data Min. Knowl. Discov., 2011

The impact of soft computing for the progress of artificial intelligence.
Appl. Soft Comput., 2011

Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
Appl. Intell., 2011

Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A study on different backward feature selection criteria over high-dimensional databases.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step.
Proceedings of the Computer and Information Sciences II, 2011

Flexible learning of k-dependence Bayesian network classifiers.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Improving Incremental Wrapper-Based Feature Subset Selection by Using Re-ranking.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Combining Image Invariant Features and Clustering Techniques for Visual Place Classification.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Learning cooperative linguistic fuzzy rules using fast local search algorithms.
Proceedings of the FUZZ-IEEE 2010, 2010

Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection.
Proceedings of the Applications of Evolutionary Computation, 2010

2009
Evolutionary and metaheuristics based data mining.
Soft Comput., 2009

Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms.
Int. J. Approx. Reason., 2009

Using Genetic Algorithms for Real-Time Object Detection.
Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

Comparison of balancing techniques for multimedia IR over imbalanced datasets.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

GAODE and HAODE: two proposals based on AODE to deal with continuous variables.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

HODE: Hidden One-Dependence Estimator.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

The PDG-Mixture Model for Clustering.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Avoiding premature convergence in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Low-Complexity Heterogeneous Video Transcoding Using Data Mining.
IEEE Trans. Multim., 2008

On the application of different evolutionary algorithms to the alignment problem in statistical machine translation.
Neurocomputing, 2008

An improved Markov-based localization approach by using image quality evaluation.
Proceedings of the 10th International Conference on Control, 2008

Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Improvement of a car racing controller by means of Ant Colony Optimization algorithms.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007
Initial breeding value prediction on Manchego sheep by using rule-based systems.
Expert Syst. Appl., 2007

Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar.
Proceedings of the Web Information Systems Engineering, 2007

EDNA: Estimation of Dependency Networks Algorithm.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search.
Proceedings of the ICEIS 2007, 2007

Learning Bayesian Classifiers from Dependency Network Classifiers.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Initial approaches to the application of islands-based parallel EDAs in continuous domains.
J. Parallel Distributed Comput., 2006

Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004.
Int. J. Approx. Reason., 2006

Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos.
Inteligencia Artif., 2006

Searching for alignments in SMT. A novel approach based on an Estimation of Distribution Algorithm.
Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006

Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Dependency networks based classifiers: learning models by using independence.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

The Independency tree model: a new approach for clustering and factorisation.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

Learning weighted linguistic fuzzy rules with estimation of distribution algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Constrained Score+(Local)Search Methods for Learning Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Improving model combination through local search in parallel univariate EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs.
Proceedings of the Parallel Problem Solving from Nature, 2004

A Methodology to Evaluate the Effectiveness of Traffic Balancing Algorithms.
Proceedings of the Euro-Par 2004 Parallel Processing, 2004

2003
Probabilistic graphical models.
Int. J. Intell. Syst., 2003

Triangulation of Bayesian networks by retriangulation.
Int. J. Intell. Syst., 2003

Incremental compilation of Bayesian networks.
Proceedings of the UAI '03, 2003

Partial Abductive Inference in Bayesian Networks By Using Probability Trees.
Proceedings of the ICEIS 2003, 2003

Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators.
IEEE Trans. Evol. Comput., 2002

Searching for the best elimination sequence in Bayesian networks by using ant colony optimization.
Pattern Recognit. Lett., 2002

Ant colony optimization for learning Bayesian networks.
Int. J. Approx. Reason., 2002

Graphical Models to Causal Discovery from Data.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study.
Proceedings of the ICEIS 2002, 2002

Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs.
Proceedings of the Estimation of Distribution Algorithms, 2002

2001
Simplifying Explanations in Bayesian Belief Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Partial abductive inference in Bayesian belief networks by simulated annealing.
Int. J. Approx. Reason., 2001

Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption.
Int. J. Approx. Reason., 2001

1999
Partial abductive inference in Bayesian belief networks using a genetic algorithm.
Pattern Recognit. Lett., 1999


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