José Antonio Lozano
Orcid: 0000-0002-4683-8111Affiliations:
- University of the Basque Country, Department of Computer Science and Artificial Intelligence
According to our database1,
José Antonio Lozano
authored at least 278 papers
between 1994 and 2024.
Collaborative distances:
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Bibliography
2024
A roadmap for solving optimization problems with estimation of distribution algorithms.
Nat. Comput., March, 2024
Eur. J. Oper. Res., February, 2024
A probabilistic generative model to discover the treatments of coexisting diseases with missing data.
Comput. Methods Programs Biomed., January, 2024
2023
IEEE Trans. Knowl. Data Eng., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Delineation of site-specific management zones using estimation of distribution algorithms.
Int. Trans. Oper. Res., July, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Learning the progression patterns of treatments using a probabilistic generative model.
J. Biomed. Informatics, January, 2023
Pattern Recognit. Lett., 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions.
J. Mach. Learn. Res., 2023
Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures.
Neurocomputing, 2023
Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques.
Eng. Appl. Artif. Intell., 2023
CoRR, 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations.
CoRR, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Analyzing the Fourier Representation of Permutation-Based Combinatorial Optimization Problems.
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023
Evidence Theory and Fuzzy Discriminations in Dependable and Resilient Interactive MADM. Application in Emergency Psychiatric Diagnostics.
Proceedings of the 13th International Conference on Dependable Systems, 2023
Proceedings of the 13th International Conference on Dependable Systems, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
Pattern Recognit., 2022
An active adaptation strategy for streaming time series classification based on elastic similarity measures.
Neural Comput. Appl., 2022
Memetic Comput., 2022
Knowl. Based Syst., 2022
A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes].
IEEE Comput. Intell. Mag., 2022
Fuzzy Approach to Planning of Service Centers Location and Goods Transportation Routes in the Disaster Region.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Fuzzy Model of Humanitarian Relief Logistics for the Shelters' Location in the Disaster Region and Evacuation of Population.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Fuzzy Approach for the Temporary Logistics Hubs' Selection Planning in Disaster Region.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the Metaheuristics - 14th International Conference, 2022
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Cybern., 2021
Neural Comput. Appl., 2021
Inf. Sci., 2021
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation.
Neurocomputing, 2021
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process.
Eng. Appl. Artif. Intell., 2021
CoRR, 2021
On solving cycle problems with Branch-and-Cut: extending shrinking and exact subcycle elimination separation algorithms.
Ann. Oper. Res., 2021
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation.
Ann. Math. Artif. Intell., 2021
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021
A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Mutual information based feature subset selection in multivariate time series classification.
Pattern Recognit., 2020
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.
Neural Networks, 2020
Data Min. Knowl. Discov., 2020
CoRR, 2020
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework.
Artif. Intell. Rev., 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Transfer learning in hierarchical dialogue topic classification with neural networks<sup>*</sup>.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators.
IEEE Trans. Knowl. Data Eng., 2019
Multimodal Technol. Interact., 2019
Knowl. Based Syst., 2019
Inf. Sci., 2019
Aggregated outputs by linear models: An application on marine litter beaching prediction.
Inf. Sci., 2019
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
Evol. Comput., 2019
Data Min. Knowl. Discov., 2019
CoRR, 2019
IEEE Access, 2019
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
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.
IEEE Trans. Neural Networks Learn. Syst., 2018
Prog. Artif. Intell., 2018
J. Grid Comput., 2018
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches.
Eur. J. Oper. Res., 2018
Environ. Model. Softw., 2018
Comput. Oper. Res., 2018
Appl. Soft Comput., 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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
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
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
Pattern Recognit. Lett., 2017
Transfer weight functions for injecting problem information in the multi-objective CMA-ES.
Memetic Comput., 2017
Knowl. Based Syst., 2017
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
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
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
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
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
IEEE Trans. Evol. Comput., 2016
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2016
Pattern Recognit. Lett., 2016
Nat. Comput., 2016
Efficient approximation of probability distributions with k-order decomposable models.
Int. J. Approx. Reason., 2016
Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization.
Comput. Oper. Res., 2016
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
IEEE Trans. Robotics, 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
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
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.
Comput. Optim. Appl., 2015
Appl. Soft Comput., 2015
Artif. Intell. Rev., 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
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
Parallel Comput., 2014
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing.
Inf. Sci., 2014
J. Grid Comput., 2014
A fast implementation of the first fit contiguous partitioning strategy for cubic topologies.
Concurr. Comput. Pract. Exp., 2014
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
Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
A general framework for the statistical analysis of the sources of variance for classification error estimators.
Pattern Recognit., 2013
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
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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
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
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
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers.
Neurocomputing, 2012
An interactive optimization approach to a real-world oceanographic campaign planning problem.
Appl. Intell., 2012
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
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
J. Parallel Distributed Comput., 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011
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
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
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
Proceedings of the Distributed Computing and Artificial Intelligence, 2010
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
Pattern Recognit. Lett., 2009
Research topics in discrete estimation of distribution algorithms based on factorizations.
Memetic Comput., 2009
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
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
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
Comput. Intell., 2008
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
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Pattern Recognit. Lett., 2007
A partially supervised classification approach to dominant and recessive human disease gene prediction.
Comput. Methods Programs Biomed., 2007
Artif. Intell. Medicine, 2007
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
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
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
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
IEEE Trans. Evol. Comput., 2005
Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks.
Evol. Comput., 2005
Evol. Comput., 2005
On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing.
Appl. Artif. Intell., 2005
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
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
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
Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004
2003
Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria.
Inteligencia Artif., 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.
Mach. Learn., 2002
Int. J. Approx. Reason., 2002
Mathematical modelling of UMDA<sub>c</sub> 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
Proceedings of the Estimation of Distribution Algorithms, 2002
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
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
2001
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 Syst., 2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
1999
Pattern Recognit. Lett., 1999
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
Inteligencia Artif., 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
1994
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994