José Antonio Lozano

According to our database1, José Antonio Lozano authored at least 191 papers between 1994 and 2018.

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Bibliography

2018
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.
IEEE Trans. Neural Netw. Learning Syst., 2018

Estimating attraction basin sizes of combinatorial optimization problems.
Progress in AI, 2018

The weighted independent domination problem: Integer linear programming models and metaheuristic approaches.
European Journal of Operational Research, 2018

A system for airport weather forecasting based on circular regression trees.
Environmental Modelling and Software, 2018

A review on distance based time series classification.
CoRR, 2018

An efficient K -means clustering algorithm for massive data.
CoRR, 2018

An efficient evolutionary algorithm for the orienteering problem.
Computers & OR, 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

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

Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study.
Swarm Intelligence, 2017

Measuring the class-imbalance extent of multi-class problems.
Pattern Recognition Letters, 2017

Transfer weight functions for injecting problem information in the multi-objective CMA-ES.
Memetic Computing, 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

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 Netw. Learning 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. Evolutionary Computation, 2016

A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems.
IEEE Trans. Evolutionary Computation, 2016

Weak supervision and other non-standard classification problems: A taxonomy.
Pattern Recognition Letters, 2016

Vine copula classifiers for the mind reading problem.
Progress in AI, 2016

A review of message passing algorithms in estimation of distribution algorithms.
Natural Computing, 2016

Efficient approximation of probability distributions with k-order decomposable models.
Int. J. Approx. Reasoning, 2016

An efficient K-means algorithm for Massive Data.
CoRR, 2016

Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization.
Computers & OR, 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.
The Journal of Supercomputing, 2015

A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model.
IEEE Trans. Evolutionary Computation, 2015

Comprehensive characterization of the behaviors of estimation of distribution algorithms.
Theor. Comput. Sci., 2015

Gene-Gene Interactions Detection Using a Two-stage Model.
Journal of Computational Biology, 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.
European Journal of Operational Research, 2015

Mathematical programming strategies for solving the minimum common string partition problem.
European Journal of Operational Research, 2015

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species.
Ecological 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.
Artificial 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. Evolutionary Computation, 2014

Application-aware metrics for partition selection in cube-shaped topologies.
Parallel Computing, 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

Mathematical Programming Strategies for Solving the Minimum Common String Partition Problem.
CoRR, 2014

A fast implementation of the first fit contiguous partitioning strategy for cubic topologies.
Concurrency and Computation: Practice and Experience, 2014

Customized Selection in Estimation of Distribution Algorithms.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Gene-Gene Interactions Detection Using a Two-Stage Model.
Proceedings of the Research in Computational Molecular Biology, 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.
Personal and Ubiquitous Computing, 2013

A general framework for the statistical analysis of the sources of variance for classification error estimators.
Pattern Recognition, 2013

Learning Bayesian network classifiers from label proportions.
Pattern Recognition, 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.
Environmental Modelling and Software, 2013

An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems.
Evolutionary Computation, 2013

On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms.
Evolutionary Computation, 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. Systems, Man, and Cybernetics, Part C, 2012

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis.
IEEE Trans. Evolutionary Computation, 2012

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems.
Progress in AI, 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 Distrib. 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.
Evolutionary Computation, 2010

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms.
Artificial Intelligence in 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. Evolutionary Computation, 2009

Feature subset selection from positive and unlabelled examples.
Pattern Recognition Letters, 2009

Research topics in discrete estimation of distribution algorithms based on factorizations.
Memetic Computing, 2009

An e-Health System for the Elderly (Butler Project): A Pilot Study on Acceptance and Satisfaction.
Cyberpsy., Behavior, and Soc. Networking, 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. Evolutionary Computation, 2008

Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering.
Journal of Computational Biology, 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.
Computational Intelligence, 2008

A review of estimation of distribution algorithms in bioinformatics.
BioData Mining, 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 Recognition Letters, 2007

A partially supervised classification approach to dominant and recessive human disease gene prediction.
Computer Methods and Programs in Biomedicine, 2007

Side chain placement using estimation of distribution algorithms.
Artificial Intelligence in 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
Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms.
Parallel Processing Letters, 2006

Parallel EDAs to create multivariate calibration models for quantitative chemical applications.
J. Parallel Distrib. Comput., 2006

Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms.
European Journal of Operational Research, 2006

Machine learning in bioinformatics.
Briefings in Bioinformatics, 2006

Discriminative Learning of Bayesian Network Classifiers.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 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. Evolutionary Computation, 2005

Editorial.
Machine Learning, 2005

Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks.
Evolutionary Computation, 2005

Editorial Introduction Special Issue on Estimation of Distribution Algorithms.
Evolutionary Computation, 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.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004

Training with Computer-Supported Motor Imagery in Post-Stroke Rehabilitation.
Cyberpsy., Behavior, and Soc. Networking, 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.
Cyberpsy., Behavior, and Soc. Networking, 2003

Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 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. Information Technology in Biomedicine, 2002

Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.
Machine Learning, 2002

Synergies between evolutionary computation and probabilistic graphical models.
Int. J. Approx. Reasoning, 2002

Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions.
Int. J. Approx. Reasoning, 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

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. Reasoning, 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 Recognition Letters, 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.
Cyberpsy., Behavior, and Soc. Networking, 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 Recognition Letters, 1999

An empirical comparison of four initialization methods for the K-Means algorithm.
Pattern Recognition Letters, 1999

Applying genetic algorithms to search for the best hierarchical clustering of a dataset.
Pattern Recognition Letters, 1999

Representing the behaviour of supervised classification learning algorithms by Bayesian networks.
Pattern Recognition Letters, 1999

1998
Aplicación de los algoritmos genéticos al problema del clustering jerárquico.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998

Qsn: a model to the network-service interface.
Proceedings of the 1998 Network Operations and Management Symposium, 1998

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


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