José Antonio Lozano
According to our database1,
José Antonio Lozano
authored at least 235 papers
between 1994 and 2020.
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at sc.ehu.es
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Bibliography
2020
An efficient K-means clustering algorithm for tall data.
Data Min. Knowl. Discov., 2020
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms.
CoRR, 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions.
CoRR, 2020
A review on outlier/anomaly detection in time series data.
CoRR, 2020
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework.
Artif. Intell. Rev., 2020
2019
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators.
IEEE Trans. Knowl. Data Eng., 2019
On-line Elastic Similarity Measures for time series.
Pattern Recognit., 2019
Preface.
Nat. Comput., 2019
Detection of sand dunes on Mars using a regular vine-based classification approach.
Knowl. Based Syst., 2019
Early classification of time series using multi-objective optimization techniques.
Inf. Sci., 2019
Aggregated outputs by linear models: An application on marine litter beaching prediction.
Inf. Sci., 2019
Anatomy of the Attraction Basins: Breaking with the Intuition.
Evol. Comput., 2019
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
Evol. Comput., 2019
A review on distance based time series classification.
Data Min. Knowl. Discov., 2019
Evolving Gaussian Process kernels from elementary mathematical expressions.
CoRR, 2019
Taxonomization of Combinatorial Optimization Problems in Fourier Space.
CoRR, 2019
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization.
IEEE Access, 2019
The EMPATHIC project: mid-term achievements.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019
Data generation approaches for topic classification in multilingual spoken dialog systems.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
Bayesian Optimization Approaches for Massively Multi-modal Problems.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
A mathematical analysis of EDAs with distance-based exponential models.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Sentiment analysis with genetically evolved gaussian kernels.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Bayesian performance analysis for black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Hybrid Heuristics for the Linear Ordering Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Multi-start Methods.
Proceedings of the Handbook of Heuristics., 2018
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.
IEEE Trans. Neural Networks Learn. Syst., 2018
Estimating attraction basin sizes of combinatorial optimization problems.
Prog. Artif. Intell., 2018
Effects of Reducing VMs Management Times on Elastic Applications.
J. Grid Comput., 2018
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches.
Eur. J. Oper. Res., 2018
A system for airport weather forecasting based on circular regression trees.
Environ. Model. Softw., 2018
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization.
CoRR, 2018
An efficient K -means clustering algorithm for massive data.
CoRR, 2018
An efficient evolutionary algorithm for the orienteering problem.
Comput. Oper. Res., 2018
Learning to classify software defects from crowds: A novel approach.
Appl. Soft Comput., 2018
Control Design for an Articulated Truck With Autonomous Driving in an Electrified Highway.
IEEE Access, 2018
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures.
Proceedings of the Intelligent Distributed Computing XII, 2018
Distance-based exponential probability models on constrained combinatorial optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Bayesian inference for algorithm ranking analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Are the Artificially Generated Instances Uniform in Terms of Difficulty?
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2017
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study.
Swarm Intell., 2017
Measuring the class-imbalance extent of multi-class problems.
Pattern Recognit. Lett., 2017
Transfer weight functions for injecting problem information in the multi-objective CMA-ES.
Memetic Comput., 2017
An efficient approximation to the K-means clustering for massive data.
Knowl. Based Syst., 2017
Learning from Proportions of Positive and Unlabeled Examples.
Int. J. Intell. Syst., 2017
Reliable early classification of time series based on discriminating the classes over time.
Data Min. Knowl. Discov., 2017
Conference Report on 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017) [Conference Reports].
IEEE Comput. Intell. Mag., 2017
On-Line Dynamic Time Warping for Streaming Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Different scenarios for survival analysis of evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Nature-inspired approaches for distance metric learning in multivariate time series classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
General chair's welcome.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Are we generating instances uniformly at random?
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A square lattice probability model for optimising the Graph Partitioning Problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Combining CMA-ES and MOEA/DD for many-objective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.
IEEE Trans. Neural Networks Learn. Syst., 2016
Similarity Measure Selection for Clustering Time Series Databases.
IEEE Trans. Knowl. Data Eng., 2016
Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2016
A Sparse Spectral Clustering Framework via Multiobjective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2016
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2016
Distance Measures for Time Series in R: The TSdist Package.
R J., 2016
Weak supervision and other non-standard classification problems: A taxonomy.
Pattern Recognit. Lett., 2016
Vine copula classifiers for the mind reading problem.
Prog. Artif. Intell., 2016
A review of message passing algorithms in estimation of distribution algorithms.
Nat. Comput., 2016
Efficient approximation of probability distributions with k-order decomposable models.
Int. J. Approx. Reason., 2016
An efficient K-means algorithm for Massive Data.
CoRR, 2016
Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization.
Comput. Oper. Res., 2016
Analyzing the Performance of Allocation Strategies Based on Space-Filling Curves.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2016
Bayesian optimization for parameter tuning in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Estimating Attraction Basin Sizes.
Proceedings of the Advances in Artificial Intelligence, 2016
A Note on the Boltzmann Distribution and the Linear Ordering Problem.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints.
IEEE Trans. Robotics, 2015
Locality-aware policies to improve job scheduling on 3D tori.
J. Supercomput., 2015
A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model.
IEEE Trans. Evol. Comput., 2015
Comprehensive characterization of the behaviors of estimation of distribution algorithms.
Theor. Comput. Sci., 2015
Gene-Gene Interactions Detection Using a Two-stage Model.
J. Comput. Biol., 2015
Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection.
Int. J. Intell. Syst., 2015
Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies.
J. Grid Comput., 2015
The linear ordering problem revisited.
Eur. J. Oper. Res., 2015
Mathematical programming strategies for solving the minimum common string partition problem.
Eur. J. Oper. Res., 2015
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species.
Ecol. Informatics, 2015
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions.
CoRR, 2015
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms.
Comp. Opt. and Appl., 2015
Multi-view classification of psychiatric conditions based on saccades.
Appl. Soft Comput., 2015
An Artificial Bioindicator System for Network Intrusion Detection.
Artif. Life, 2015
Dealing with the evaluation of supervised classification algorithms.
Artif. Intell. Rev., 2015
Multi-objective NM-Landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Kernels of Mallows Models for Solving Permutation-based Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Evolving MNK-landscapes with structural constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Mixtures of Generalized Mallows models for solving the quadratic assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions.
Proceedings of the Advances in Artificial Intelligence, 2015
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition.
Proceedings of the Advances in Artificial Intelligence, 2015
2014
A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem.
IEEE Trans. Evol. Comput., 2014
Application-aware metrics for partition selection in cube-shaped topologies.
Parallel Comput., 2014
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing.
Inf. Sci., 2014
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments.
J. Grid Comput., 2014
A fast implementation of the first fit contiguous partitioning strategy for cubic topologies.
Concurr. Comput. Pract. Exp., 2014
Customized Selection in Estimation of Distribution Algorithms.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Iterative Probabilistic Tree Search for the Minimum Common String Partition Problem.
Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014
Optimization of Application Placement Towards a Greener Cloud Infrastructure.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Extending distance-based ranking models in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
How natural is a natural interface? An evaluation procedure based on action breakdowns.
Pers. Ubiquitous Comput., 2013
A general framework for the statistical analysis of the sources of variance for classification error estimators.
Pattern Recognit., 2013
Learning Bayesian network classifiers from label proportions.
Pattern Recognit., 2013
Significance tests or confidence intervals: which are preferable for the comparison of classifiers?
J. Exp. Theor. Artif. Intell., 2013
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting.
Environ. Model. Softw., 2013
An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems.
Evol. Comput., 2013
On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms.
Evol. Comput., 2013
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
CoRR, 2013
Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
Understanding Instance Complexity in the Linear Ordering Problem.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Symmetry in evolutionary and estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
The Plackett-Luce ranking model on permutation-based optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions.
Proceedings of the Advances in Artificial Intelligence, 2013
Learning from Crowds in Multi-dimensional Classification Domains.
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis.
IEEE Trans. Syst. Man Cybern. Part C, 2012
Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis.
IEEE Trans. Evol. Comput., 2012
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems.
Prog. Artif. Intell., 2012
Wrapper positive Bayesian network classifiers.
Knowl. Inf. Syst., 2012
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers.
Neurocomputing, 2012
A Markovianity based optimisation algorithm.
Genetic Programming and Evolvable Machines, 2012
An interactive optimization approach to a real-world oceanographic campaign planning problem.
Appl. Intell., 2012
Evolving NK-complexity for evolutionary solvers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Structural transfer using EDAs: An application to multi-marker tagging SNP selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011
Optimization-based mapping framework for parallel applications.
J. Parallel Distributed Comput., 2011
Clinical Validation of a Virtual Environment Test for Safe Street Crossing in the Assessment of Acquired Brain Injury Patients with and without Neglect.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011
Introducing the Mallows Model on Estimation of Distribution Algorithms.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
A preliminary study on EDAs for permutation problems based on marginal-based models.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
A study on the complexity of TSP instances under the 2-exchange neighbor system.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011
On the limits of effectiveness in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Learning Probability Distributions over Permutations by Means of Fourier Coefficients.
Proceedings of the Advances in Artificial Intelligence, 2011
2010
A Review on Parallel Estimation of Distribution Algorithms.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation.
Evol. Comput., 2010
Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms.
Artif. Intell. Medicine, 2010
Strategies to Map Parallel Applications onto Meshes.
Proceedings of the Distributed Computing and Artificial Intelligence, 2010
Estimation of Bayesian networks algorithms in a class of complex networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models.
IEEE Trans. Evol. Comput., 2009
Feature subset selection from positive and unlabelled examples.
Pattern Recognit. Lett., 2009
Research topics in discrete estimation of distribution algorithms based on factorizations.
Memetic Comput., 2009
An e-Health System for the Elderly (Butler Project): A Pilot Study on Acceptance and Satisfaction.
Cyberpsychology Behav. Soc. Netw., 2009
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A new preprocessing procedure for the haplotype inference problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Analyzing the probability of the optimum in EDAs based on Bayesian networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Adaptive Estimation of Distribution Algorithms.
Proceedings of the Adaptive and Multilevel Metaheuristics, 2008
The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks.
Proceedings of the Linkage in Evolutionary Computation, 2008
Protein Folding in Simplified Models With Estimation of Distribution Algorithms.
IEEE Trans. Evol. Comput., 2008
Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering.
J. Comput. Biol., 2008
Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem.
J. Heuristics, 2008
Dynamic Search Space Transformations for Software Test Data Generation.
Comput. Intell., 2008
A review of estimation of distribution algorithms in bioinformatics.
BioData Min., 2008
Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs.
Proceedings of the Parallel Problem Solving from Nature, 2008
Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Component weighting functions for adaptive search with EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
A multi-objective approach to the Channel Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Learning Bayesian classifiers from positive and unlabeled examples.
Pattern Recognit. Lett., 2007
A partially supervised classification approach to dominant and recessive human disease gene prediction.
Comput. Methods Programs Biomed., 2007
Side chain placement using estimation of distribution algorithms.
Artif. Intell. Medicine, 2007
Super-Feet: A Wireless Hand-Free Navigation System for Virtual Environments.
Proceedings of the Virtual Reality, 2007
EMMA: An Adaptive Display for Virtual Therapy.
Proceedings of the Foundations of Augmented Cognition, 2007
A parallel framework for loopy belief propagation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms.
Proceedings of the Evolutionary Computation, 2007
Discriminative vs. Generative Learning of Bayesian Network Classifiers.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Exact Bayesian network learning in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Bayesian Model Averaging of Naive Bayes for Clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2006
Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms.
Parallel Process. Lett., 2006
Parallel EDAs to create multivariate calibration models for quantitative chemical applications.
J. Parallel Distributed Comput., 2006
Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms.
Eur. J. Oper. Res., 2006
Machine learning in bioinformatics.
Briefings Bioinform., 2006
Discriminative Learning of Bayesian Network Classifiers.
Inteligencia Artif., 2006
Bayesian Model Averaging of TAN Models for Clustering.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Mixtures of Kikuchi Approximations.
Proceedings of the Machine Learning: ECML 2006, 2006
Evaluation of Parallel EDAs to Create Chemical Calibration Models.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
Parallel Implementation of EDAs Based on Probabilistic Graphical Models.
IEEE Trans. Evol. Comput., 2005
Editorial.
Mach. Learn., 2005
Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks.
Evol. Comput., 2005
Editorial Introduction Special Issue on Estimation of Distribution Algorithms.
Evol. Comput., 2005
On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing.
Applied Artificial Intelligence, 2005
VR-Mirror: A Virtual Reality System for Mental Practice in Post-Stroke Rehabilitation.
Proceedings of the Smart Graphics, 5th International Symposium, 2005
Average Time Complexity of Estimation of Distribution Algorithms.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Parallel and Multi-Objective EDAs to Create Multivariate Calibration Models for Quantitative Chemical Applications.
Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005
Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Interactions and dependencies in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
A multiobjective approach to the portfolio optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
New Technologies for Providing Remote Psychological Treatments.
Proceedings of the Cybertherapy, 2004
Technological Background of VR.
Proceedings of the Cybertherapy, 2004
Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004
Training with Computer-Supported Motor Imagery in Post-Stroke Rehabilitation.
Cyberpsychology Behav. Soc. Netw., 2004
Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004
An Augmented Reality System for Treating Psychological Disorders: Application to Phobia to Cockroaches.
Proceedings of the 3rd IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), 2004
2003
Internet-Based Telehealth System for the Treatment of Agoraphobia.
Cyberpsychology Behav. Soc. Netw., 2003
Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria.
Inteligencia Artif., 2003
Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Virtual reality treatment of flying phobia.
IEEE Trans. Inf. Technol. Biomed., 2002
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.
Mach. Learn., 2002
Synergies between evolutionary computation and probabilistic graphical models.
Int. J. Approx. Reason., 2002
Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions.
Int. J. Approx. Reason., 2002
Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Benefits of Data Clustering in Multimodal Function Optimization via EDAs.
Proceedings of the Estimation of Distribution Algorithms, 2002
Parallel Estimation of Distribution Algorithms.
Proceedings of the Estimation of Distribution Algorithms, 2002
Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research.
Proceedings of the Estimation of Distribution Algorithms, 2002
An Introduction to Evolutionary Algorithms.
Proceedings of the Estimation of Distribution Algorithms, 2002
Mathematical Modeling of Discrete Estimation of Distribution Algorithms.
Proceedings of the Estimation of Distribution Algorithms, 2002
An Empirical Comparison of Discrete Estimation of Distribution Algorithms.
Proceedings of the Estimation of Distribution Algorithms, 2002
Experimental Results in Function Optimization with EDAs in Continuous Domain.
Proceedings of the Estimation of Distribution Algorithms, 2002
2001
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2001
Performance evaluation of compromise conditional Gaussian networks for data clustering.
Int. J. Approx. Reason., 2001
Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networks.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering.
Pattern Recognit. Lett., 2000
Analyzing the Population Based Incremental Learning Algorithm by Means of Discrete Dynamical Systems.
Complex Systems, 2000
A New Realistic 3D Body Representation in Virtual Environments for the Treatment of Disturbed Body Image in Eating Disorders.
Cyberpsychology Behav. Soc. Netw., 2000
Combinatonal Optimization by Learning and Simulation of Bayesian Networks.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
1999
Genetic Algorithms: Bridging the Convergence Gap.
Theor. Comput. Sci., 1999
Learning Bayesian networks for clustering by means of constructive induction.
Pattern Recognit. Lett., 1999
An empirical comparison of four initialization methods for the K-Means algorithm.
Pattern Recognit. Lett., 1999
Applying genetic algorithms to search for the best hierarchical clustering of a dataset.
Pattern Recognit. Lett., 1999
Representing the behaviour of supervised classification learning algorithms by Bayesian networks.
Pattern Recognit. Lett., 1999
1998
Aplicación de los algoritmos genéticos al problema del clustering jerárquico.
Inteligencia Artif., 1998
Qsn: a model to the network-service interface.
Proceedings of the 1998 Network Operations and Management Symposium, 1998
1997
Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997
1996
Convergence Properties of High-order Boltzmann Machines.
Neural Networks, 1996
1994
High-order Boltzmann machines applied to the Monk's problems.
Proceedings of the ESANN 1994, 1994