José Antonio Lozano

发表

Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, SEMCCO.

Mutual information based feature subset selection in multivariate time series classification

José Antonio Lozano, Josu Ircio, Aizea Lojo, 2020, Pattern Recognit..

Detection of sand dunes on Mars using a regular vine-based classification approach

Roberto Santana, José Antonio Lozano, Diana Carrera, 2019, Knowl. Based Syst..

Gene-Gene Interactions Detection Using a Two-Stage Model

Sagi Snir, Eleazar Eskin, José Antonio Lozano, 2014, RECOMB.

Preface

José Antonio Lozano, Ke Tang, Xin Yao, 2017, Natural Computing.

Combinatonal Optimization by Learning and Simulation of Bayesian Networks

Pedro Larrañaga, José Antonio Lozano, Ramon Etxeberria, 2000, UAI.

Transfer weight functions for injecting problem information in the multi-objective CMA-ES

Aurora Trinidad Ramirez Pozo, José Antonio Lozano, Olacir Rodrigues Castro Junior, 2016, Memetic Computing.

General chair's welcome

José Antonio Lozano, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

The EMPATHIC project: mid-term achievements

M. Inés Torres, Sergio Escalera, Gennaro Cordasco, 2019, PETRA.

Convergence Properties of High-order Boltzmann Machines

Manuel Graña, José Antonio Lozano, F. Xabier Albizuri, 1996, Neural Networks.

Editorial Introduction Special Issue on Estimation of Distribution Algorithms

Pedro Larrañaga, José Antonio Lozano, 2005, Evolutionary Computation.

An Artificial Bioindicator System for Network Intrusion Detection

Christian Blum, José Antonio Lozano, Pedro Pinacho Davidson, 2015, Artificial Life.

Are we generating instances uniformly at random?

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Synergies between evolutionary computation and probabilistic graphical models

Pedro Larrañaga, José Antonio Lozano, 2002, Int. J. Approx. Reason..

A mathematical analysis of EDAs with distance-based exponential models

María Merino, José Antonio Lozano, Imanol Unanue, 2019, Memetic Computing.

A system for airport weather forecasting based on circular regression trees

Iñaki Inza, José Antonio Lozano, Pablo Rozas Larraondo, 2018, Environ. Model. Softw..

A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model

Huaping Chen, José Antonio Lozano, Xinle Liang, 2015, IEEE Transactions on Evolutionary Computation.

Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2005, Evolutionary Computation.

An empirical comparison of four initialization methods for the K-Means algorithm

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 1999, Pattern Recognit. Lett..

Bayesian inference for algorithm ranking analysis

José Antonio Lozano, Borja Calvo, Josu Ceberio, 2018, GECCO.

Editorial

Pedro Larrañaga, Iñaki Inza, José Antonio Lozano, 2005, Machine Learning.

An Introduction to Evolutionary Algorithms

José Antonio Lozano, J. A. Lozano, 2002, Estimation of Distribution Algorithms.

Efficient approximation of probability distributions with k-order decomposable models

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2016, Int. J. Approx. Reason..

A parallel framework for loopy belief propagation

Endika Bengoetxea, Roberto Santana, Alexander Mendiburu, 2007, GECCO '07.

Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2015, Journal of Grid Computing.

An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, 2012 IEEE Congress on Evolutionary Computation.

A multi-objective approach to the Channel Assignment Problem

José Antonio Lozano, Harry C. S. Rughooputh, Jayrani Cheeneebash, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2013, CAEPIA.

A review of estimation of distribution algorithms in bioinformatics

Concha Bielza, Pedro Larrañaga, Yvan Saeys, 2008, BioData Mining.

An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2000, Pattern Recognit. Lett..

Bayesian Optimization Approaches for Massively Multi-modal Problems

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, LION.

Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2006, Parallel Process. Lett..

High-order Boltzmann machines applied to the Monk's problems

Manuel Graña, José Antonio Lozano, F. Xabier Albizuri, 1994, ESANN.

Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers

José Antonio Lozano, Juan Diego Rodríguez, J. A. Lozano, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Locality-aware policies to improve job scheduling on 3D tori

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2014, The Journal of Supercomputing.

Genetic Algorithms: Bridging the Convergence Gap

Pedro Larrañaga, Manuel Graña, José Antonio Lozano, 1999, Theor. Comput. Sci..

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

José Antonio Lozano, José Miguel-Alonso, Tania Lorido-Botran, 2014, Journal of Grid Computing.

Wrapper positive Bayesian network classifiers

Pedro Larrañaga, Iñaki Inza, José Antonio Lozano, 2012, Knowledge and Information Systems.

Exact Bayesian network learning in estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, 2007 IEEE Congress on Evolutionary Computation.

Bayesian optimization for parameter tuning in evolutionary algorithms

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Evolving Gaussian Process Kernels for Translation Editing Effort Estimation

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, LION.

Characterising the rankings produced by combinatorial optimisation problems and finding their intersections

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2019, GECCO.

The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, EvoBIO.

Significance tests or confidence intervals: which are preferable for the comparison of classifiers?

José Antonio Lozano, Daniel P. Berrar, J. A. Lozano, 2013, J. Exp. Theor. Artif. Intell..

EMMA: An Adaptive Display for Virtual Therapy

Rosa María Baños, Mariano Alcañiz Raya, Cristina Botella, 2007, HCI.

Side chain placement using estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, Artif. Intell. Medicine.

Multi-objective NM-Landscapes

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, GECCO.

A study on the complexity of TSP instances under the 2-exchange neighbor system

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2011, 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains

Pedro Larrañaga, José Antonio Lozano, Cristina González, 2003, IWANN.

Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study

Iñaki Inza, José Antonio Lozano, Jonathan Ortigosa-Hernández, 2016, IEEE Transactions on Neural Networks and Learning Systems.

DYNAMIC SEARCH SPACE TRANSFORMATIONS FOR SOFTWARE TEST DATA GENERATION

José Antonio Lozano, Ramón Sagarna, J. A. Lozano, 2008, Comput. Intell..

Applying genetic algorithms to search for the best hierarchical clustering of a dataset

Pedro Larrañaga, José Antonio Lozano, J. A. Lozano, 1999, Pattern Recognit. Lett..

Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming

Christian Blum, José Antonio Lozano, Aritz Pérez Martínez, 2014, Probabilistic Graphical Models.

A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2015, CAEPIA.

Super-Feet: A Wireless Hand-Free Navigation System for Virtual Environments

Mariano Alcañiz Raya, Beatriz Rey, José Antonio Lozano, 2007, HCI.

Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networks

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2001, AISTATS.

Learning Bayesian network classifiers from label proportions

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2013, Pattern Recognit..

Virtual reality treatment of flying phobia

Concepción Perpiñá, Rosa María Baños, Mariano Alcañiz Raya, 2002, IEEE Transactions on Information Technology in Biomedicine.

An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2013, Evolutionary Computation.

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2015, Ecol. Informatics.

Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, J. Heuristics.

Are the Artificially Generated Instances Uniform in Terms of Difficulty?

José Antonio Lozano, Josu Ceberio, Aritz Pérez Martínez, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Qsn: a model to the network-service interface

José Antonio Lozano, Jorge Sanchez, Martin Alarcon, 1998, NOMS 98 1998 IEEE Network Operations and Management Symposium.

A Sparse Spectral Clustering Framework via Multiobjective Evolutionary Algorithm

Licheng Jiao, José Antonio Lozano, Juanjuan Luo, 2016, IEEE Transactions on Evolutionary Computation.

Estimating Attraction Basin Sizes

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2016, CAEPIA.

Measuring the class-imbalance extent of multi-class problems

Iñaki Inza, José Antonio Lozano, Jonathan Ortigosa-Hernández, 2017, Pattern Recognit. Lett..

A multiobjective approach to the portfolio optimization problem

José Antonio Lozano, Rubén Armañanzas, J. A. Lozano, 2005, 2005 IEEE Congress on Evolutionary Computation.

Analyzing the probability of the optimum in EDAs based on Bayesian networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2009, 2009 IEEE Congress on Evolutionary Computation.

The Plackett-Luce ranking model on permutation-based optimization problems

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2013, 2013 IEEE Congress on Evolutionary Computation.

On-line Elastic Similarity Measures for time series

Javier Del Ser, José Antonio Lozano, Izaskun Oregi, 2019, Pattern Recognit..

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition

Alexander Mendiburu, José Antonio Lozano, Borja Calvo, 2015, CAEPIA.

Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models

Qingfu Zhang, Pedro Larrañaga, José Antonio Lozano, 2009, IEEE Trans. Evol. Comput..

An e-Health System for the Elderly (Butler Project): A Pilot Study on Acceptance and Satisfaction

Rosa María Baños, Mariano Alcañiz Raya, Soledad Quero, 2009, Cyberpsychology Behav. Soc. Netw..

Customized Selection in Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2014, SEAL.

Estimation of Bayesian networks algorithms in a class of complex networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2010, IEEE Congress on Evolutionary Computation.

On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, Evolutionary Computation.

Mathematical programming strategies for solving the minimum common string partition problem

Christian Blum, José Antonio Lozano, Pedro Pinacho Davidson, 2014, Eur. J. Oper. Res..

An efficient K -means clustering algorithm for massive data pdf

José Antonio Lozano, Aritz Pérez Martínez, Marco Capó, 2018, ArXiv.

Optimization-based mapping framework for parallel applications

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2011, J. Parallel Distributed Comput..

Dealing with the evaluation of supervised classification algorithms

Iñaki Inza, José Antonio Lozano, Guzmán Santafé, 2015, Artificial Intelligence Review.

Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission

José Antonio Lozano, Josu Ceberio, Abolfazl Shirazi, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Performance evaluation of compromise conditional Gaussian networks for data clustering

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2001, Int. J. Approx. Reason..

A square lattice probability model for optimising the Graph Partitioning Problem

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Technological Background of VR

Beatriz Rey, José Antonio Lozano, Mariano Alcañiz, 2004, Cybertherapy.

Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, SEMCCO.

The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees

Roberto Santana, José Antonio Lozano, Diana Carrera, 2018, IPMU.

Effects of Reducing VMs Management Times on Elastic Applications

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2018, Journal of Grid Computing.

Evolving MNK-landscapes with structural constraints

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Weak supervision and other non-standard classification problems: A taxonomy

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2016, Pattern Recognit. Lett..

A general framework for the statistical analysis of the sources of variance for classification error estimators

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2013, Pattern Recognit..

A review on distance based time series classification

José Antonio Lozano, Usue Mori, Amaia Abanda, 2018, Data Mining and Knowledge Discovery.

A Preprocessing Procedure for Haplotype Inference by Pure Parsimony

José Antonio Lozano, Borja Calvo, Ekhine Irurozki, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Component weighting functions for adaptive search with EDAs

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Distance-based exponential probability models on constrained combinatorial optimization problems

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2018, GECCO.

Mining probabilistic models learned by EDAs in the optimization of multi-objective problems

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2009, GECCO.

Optimization of Application Placement Towards a Greener Cloud Infrastructure

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2014, EvoApplications.

Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2002, Machine Learning.

Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems

Xin Yao, José Antonio Lozano, Ke Tang, 2016, IEEE Transactions on Evolutionary Computation.

Learning Bayesian classifiers from positive and unlabeled examples

Pedro Larrañaga, José Antonio Lozano, Borja Calvo, 2007, Pattern Recognit. Lett..

An efficient K-means algorithm for Massive Data pdf

José Antonio Lozano, Aritz Pérez Martínez, Marco Capó, 2016, ArXiv.

Application-aware metrics for partition selection in cube-shaped topologies

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2014, Parallel Comput..

Vine copula classifiers for the mind reading problem

Roberto Santana, José Antonio Lozano, Diana Carrera, 2016, Progress in Artificial Intelligence.

A new preprocessing procedure for the haplotype inference problem

José Antonio Lozano, Ekhine Irurozki, 2009, 2009 IEEE Congress on Evolutionary Computation.

Learning Bayesian networks for clustering by means of constructive induction

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 1999, Pattern Recognit. Lett..

An efficient K-means clustering algorithm for tall data

José Antonio Lozano, Aritz Pérez Martínez, Marco Capó, 2020, Data Mining and Knowledge Discovery.

Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences

Javier Del Ser, José Antonio Lozano, Aritz Pérez Martínez, 2020, Neural Networks.

On-Line Dynamic Time Warping for Streaming Time Series

Javier Del Ser, José Antonio Lozano, Izaskun Oregi, 2017, ECML/PKDD.

The weighted independent domination problem: Integer linear programming models and metaheuristic approaches

Christian Blum, José Antonio Lozano, Pedro Pinacho Davidson, 2018, Eur. J. Oper. Res..

Feature subset selection from positive and unlabelled examples

Pedro Larrañaga, José Antonio Lozano, Borja Calvo, 2009, Pattern Recognit. Lett..

Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Iñaki Inza, José Antonio Lozano, Juan Diego Rodríguez, 2012, Neurocomputing.

Estimating attraction basin sizes of combinatorial optimization problems

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2018, Progress in Artificial Intelligence.

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing

José Antonio Lozano, Ramón Sagarna, J. A. Lozano, 2005, Appl. Artif. Intell..

Discriminative vs. Generative Learning of Bayesian Network Classifiers

Pedro Larrañaga, José Antonio Lozano, Guzmán Santafé, 2007, ECSQARU.

Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints

José Antonio Lozano, Xianbin Cao, Ke Tang, 2015, IEEE Transactions on Robotics.

Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering

Pedro Larrañaga, José Antonio Lozano, Guzmán Santafé, 2008, J. Comput. Biol..

Combining CMA-ES and MOEA/DD for many-objective optimization

Aurora Trinidad Ramirez Pozo, Roberto Santana, José Antonio Lozano, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Mixtures of Kikuchi Approximations

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2006, ECML.

Learning Probability Distributions over Permutations by Means of Fourier Coefficients

José Antonio Lozano, Borja Calvo, Ekhine Irurozki, 2011, Canadian Conference on AI.

Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures

Javier Del Ser, José Antonio Lozano, Izaskun Oregi, 2018, IDC.

An efficient evolutionary algorithm for the orienteering problem

María Merino, José Antonio Lozano, Gorka Kobeaga, 2018, Comput. Oper. Res..

Iterative Probabilistic Tree Search for the Minimum Common String Partition Problem

Christian Blum, José Antonio Lozano, Pedro Pinacho Davidson, 2014, Hybrid Metaheuristics.

Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system

José Antonio Lozano, Ke Tang, Peng Yang, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2004, ISBMDA.

Average Time Complexity of Estimation of Distribution Algorithms

Pedro Larrañaga, José Antonio Lozano, Cristina González, 2005, IWANN.

Gene-Gene Interactions Detection Using a Two-stage Model

Sagi Snir, Eleazar Eskin, José Antonio Lozano, 2015, J. Comput. Biol..

Protein Folding in Simplified Models With Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, IEEE Transactions on Evolutionary Computation.

Clinical Validation of a Virtual Environment Test for Safe Street Crossing in the Assessment of Acquired Brain Injury Patients with and without Neglect

Mariano Alcañiz Raya, José Antonio Lozano, Enrique Noé, 2011, INTERACT.

Bayesian Model Averaging of TAN Models for Clustering

Pedro Larrañaga, José Antonio Lozano, Guzmán Santafé, 2006, Probabilistic Graphical Models.

Learning to classify software defects from crowds: A novel approach

Iñaki Inza, José Antonio Lozano, Daniel Rodríguez, 2018, Appl. Soft Comput..

Internet and Virtual Reality as Assessment and Rehabilitation Tools for Clinical Psychology and Neuroscience 9 New Technologies for Providing Remote Psychological Treatments

Beatriz Rey, José Antonio Lozano, Mariano Alcañiz, 2022 .

How natural is a natural interface? An evaluation procedure based on action breakdowns

Mariano Alcañiz Raya, Beatriz Rey, José Antonio Lozano, 2011, Personal and Ubiquitous Computing.

Discriminative Learning of Bayesian Network Classifiers

Pedro Larrañaga, José Antonio Lozano, Guzmán Santafé, 2006, Inteligencia Artif..

Structural transfer using EDAs: An application to multi-marker tagging SNP selection

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, 2012 IEEE Congress on Evolutionary Computation.

Reliable early classification of time series based on discriminating the classes over time

Eamonn J. Keogh, Alexander Mendiburu, José Antonio Lozano, 2016, Data Mining and Knowledge Discovery.

Extending distance-based ranking models in estimation of distribution algorithms

Alexander Mendiburu, José Antonio Lozano, Ekhine Irurozki, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Understanding Instance Complexity in the Linear Ordering Problem

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2013, IDEAL.

Internet-Based Telehealth System for the Treatment of Agoraphobia

Concepción Perpiñá, Cristina Botella, Rosa María Baños, 2003, Cyberpsychology Behav. Soc. Netw..

Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, PPSN.

An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study

Aurora Trinidad Ramirez Pozo, Roberto Santana, José Antonio Lozano, 2017, Swarm Intelligence.

Different scenarios for survival analysis of evolutionary algorithms

Roberto Santana, José Antonio Lozano, J. A. Lozano, 2017, GECCO.

Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions

Pedro Larrañaga, José Antonio Lozano, Cristina González, 2002, Int. J. Approx. Reason..

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, IEEE Transactions on Evolutionary Computation.

Parallel implementation of EDAs based on probabilistic graphical models

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2005, IEEE Transactions on Evolutionary Computation.

Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2013, Environ. Model. Softw..

A Review on Parallel Estimation of Distribution Algorithms

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2010, Parallel and Distributed Computational Intelligence.

A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2016, IEEE Transactions on Evolutionary Computation.

Kernels of Mallows Models for Solving Permutation-based Problems

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2015, GECCO.

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem

Alexander Mendiburu, José Antonio Lozano, Ekhine Irurozki, 2014, IEEE Transactions on Evolutionary Computation.

A Markovianity based optimisation algorithm

Siddhartha Shakya, Roberto Santana, José Antonio Lozano, 2012, Genetic Programming and Evolvable Machines.

Evaluation of Parallel EDAs to Create Chemical Calibration Models

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm

Pedro Larrañaga, José Antonio Lozano, Guzmán Santafé, 2005, ECSQARU.

Introducing the Mallows Model on Estimation of Distribution Algorithms

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2011, ICONIP.

A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms

Alexander Mendiburu, José Antonio Lozano, Ekhine Irurozki, 2015, Comput. Optim. Appl..

The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, Linkage in Evolutionary Computation.

Multi-view classification of psychiatric conditions based on saccades

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, Appl. Soft Comput..

Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks

Pedro Larrañaga, Iñaki Inza, José Antonio Lozano, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Machine Learning in Bioinformatics

Concha Bielza, Pedro Larrañaga, Iñaki Inza, 2008, Encyclopedia of Database Systems.

Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria

Pedro Larrañaga, Heinz Mühlenbein, José Antonio Lozano, 2003, Inteligencia Artif..

Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering

Pedro Larrañaga, José Antonio Lozano, José M. Peña, 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A Note on the Boltzmann Distribution and the Linear Ordering Problem

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2016, CAEPIA.

An augmented reality system for treating psychological disorders: application to phobia to cockroaches

Rosa María Baños, Mariano Alcañiz Raya, Maria del Carmen Juan Lizandra, 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing

Iñaki Inza, Alexander Mendiburu, José Antonio Lozano, 2014, Inf. Sci..

An interactive optimization approach to a real-world oceanographic campaign planning problem

Alexander Mendiburu, José Antonio Lozano, Izaskun Ibarbia, 2011, Applied Intelligence.

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms

Eleazar Eskin, Roberto Santana, Alexander Mendiburu, 2010, Artif. Intell. Medicine.

Analyzing the Population Based Incremental Learning Algorithm by Means of Discrete Dynamical Systems

Pedro Larrañaga, José Antonio Lozano, Cristina González, 2000, Complex Syst..

Sentiment analysis with genetically evolved gaussian kernels

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, GECCO.

A preliminary study on EDAs for permutation problems based on marginal-based models

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2011, GECCO '11.

Data generation approaches for topic classification in multilingual spoken dialog systems

José Antonio Lozano, César Montenegro, Riberto Santana, 2019, PETRA.

Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2015, Int. J. Intell. Syst..

A review of message passing algorithms in estimation of distribution algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2016, Natural Computing.

Multi-start Methods

Alexander Mendiburu, José Antonio Lozano, Rafael Martí, 2018, Handbook of Heuristics.

Training with Computer-Supported Motor Imagery in Post-Stroke Rehabilitation

Mariano Alcañiz Raya, José A. Gil, Andrea Gaggioli, 2004, Cyberpsychology Behav. Soc. Netw..

Symmetry in evolutionary and estimation of distribution algorithms

Roberto Santana, José Antonio Lozano, Robert I. McKay, 2013, 2013 IEEE Congress on Evolutionary Computation.

On the limits of effectiveness in estimation of distribution algorithms

Qingfu Zhang, Roberto Santana, Alexander Mendiburu, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems

Alexander Mendiburu, José Antonio Lozano, Leticia Hernando, 2013, LION.

Parallel EDAs to create multivariate calibration models for quantitative chemical applications

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2006, J. Parallel Distributed Comput..

VR-Mirror: A Virtual Reality System for Mental Practice in Post-Stroke Rehabilitation

Mariano Alcañiz Raya, José A. Gil, Andrea Gaggioli, 2005, Smart Graphics.

Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions pdf

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, ArXiv.

Interactions and dependencies in estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2005, 2005 IEEE Congress on Evolutionary Computation.

Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2010, Evolutionary Computation.

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems

Alexander Mendiburu, José Antonio Lozano, Ekhine Irurozki, 2012, Progress in Artificial Intelligence.

Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models

Christian Blum, José Antonio Lozano, Aritz Pérez Martínez, 2018, PGM.

Evolving NK-complexity for evolutionary solvers

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, GECCO '12.

A fast implementation of the first fit contiguous partitioning strategy for cubic topologies

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2014, Concurr. Comput. Pract. Exp..

Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms

José Antonio Lozano, Ramón Sagarna, J. A. Lozano, 2006, Eur. J. Oper. Res..

Distance-Based Exponential Probability Models for Constrained Combinatorial Problems

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2018, CAEPIA.

Editorial: A Successful Year and Looking Forward to 2017 and Beyond

Meng Wang, Haibo He, Shiliang Sun, 2017, IEEE Trans. Neural Networks Learn. Syst..

Learning from Proportions of Positive and Unlabeled Examples

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2017, Int. J. Intell. Syst..

The linear ordering problem revisited

Alexander Mendiburu, José Antonio Lozano, Josu Ceberio, 2015, Eur. J. Oper. Res..

Adaptive Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, Adaptive and Multilevel Metaheuristics.

Mixtures of Generalized Mallows models for solving the quadratic assignment problem

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A New Realistic 3D Body Representation in Virtual Environments for the Treatment of Disturbed Body Image in Eating Disorders

Concepción Perpiñá, Rosa María Baños, Mariano Alcañiz Raya, 2000, Cyberpsychology Behav. Soc. Netw..

Aplicación de los algoritmos genéticos al problema del clustering jerárquico

Pedro Larrañaga, José Antonio Lozano, J. Lozano, 1998, Inteligencia Artif..

Alexander Mendiburu, José Antonio Lozano, Usue Mori, 2016, IEEE Transactions on Knowledge and Data Engineering.

Analyzing the Performance of Allocation Strategies Based on Space-Filling Curves

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2016, JSSPP.

Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations

Roberto Santana, José Antonio Lozano, Jon Vadillo, 2020, LOD.

Learning from Crowds in Multi-dimensional Classification Domains

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2013, CAEPIA.

An efficient approximation to the K-means clustering for massive data

José Antonio Lozano, Aritz Pérez Martínez, Marco Capó, 2017, Knowl. Based Syst..

Strategies to Map Parallel Applications onto Meshes

José Antonio Lozano, José Miguel-Alonso, Jose Antonio Pascual, 2010, DCAI.

The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches

Christian Blum, José Antonio Lozano, Pedro Pinacho Davidson, 2017, EvoCOP.

Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization

José Antonio Lozano, Daniel Rodríguez, Javier Moreno, 2020, IEEE transactions on cybernetics.

José Marinho: a metafísica intempestiva

José Antonio Lozano, 1997 .

Parallel and multi-objective EDAs to create multivariate calibration models for quantitative chemical applications

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso, 2005, 2005 International Conference on Parallel Processing Workshops (ICPPW'05).

Early classification of time series using multi-objective optimization techniques

Alexander Mendiburu, José Antonio Lozano, Usue Mori, 2019, Inf. Sci..

Conference Report on 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017) [Conference Reports]

José Antonio Lozano, J. A. Lozano, 2017, IEEE Comput. Intell. Mag..

Construct , Merge , Solve & Adapt : A New General Algorithm For Combinatorial Optimization

Manuel López-Ibáñez, Christian Blum, José Antonio Lozano, 2015 .

Nature-inspired approaches for distance metric learning in multivariate time series classification

Javier Del Ser, José Antonio Lozano, Izaskun Oregi, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Comprehensive characterization of the behaviors of estimation of distribution algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, Theor. Comput. Sci..

A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]

José Antonio Lozano, Josu Ircio, Aizea Lojo, 2022, IEEE Computational Intelligence Magazine.

Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process

Roberto Santana, José Antonio Lozano, César Montenegro, 2021, Eng. Appl. Artif. Intell..

A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems

María Merino, José Antonio Lozano, Imanol Unanue, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Water leak detection using self-supervised time series classification

José Antonio Lozano, Usue Mori, Angel Conde, 2021, Inf. Sci..