Jose A. Lozano

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Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms

Pedro Larrañaga, Jose A. Lozano, Iñaki Inza, 2006, Towards a New Evolutionary Computation.

Partitional Cluster Analysis with Genetic Algorithms: Searching for the Number of Clusters

Pedro Larrañaga, Manuel Graña, Jose A. Lozano, 1998 .

An Empirical Comparison of Discrete Estimation of Distribution Algorithms

Jose A. Lozano, Rosa Blanco, 2002, Estimation of Distribution Algorithms.

Mathematical Modeling of Discrete Estimation of Distribution Algorithms

Pedro Larrañaga, Jose A. Lozano, Cristina González, 2002, Estimation of Distribution Algorithms.

An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit

Jose A. Lozano, Josu Ceberio, Abolfazl Shirazi, 2019, Aerospace Science and Technology.

Automating weather forecasts based on convolutional networks

Jose A. Lozano, Iñaki Inza, Pablo Rozas Larraondo, 2017 .

Benefits of Data Clustering in Multimodal Function Optimization via EDAs

Pedro Larrañaga, Jose A. Lozano, Jose M. Peña, 2002, Estimation of Distribution Algorithms.

Hybrid Heuristics for the Linear Ordering Problem

Jose A. Lozano, Josu Ceberio, Erik Garcia, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2019, IEEE Access.

Towards Competitive Classifiers for Unbalanced Classification Problems: A Study on the Performance Scores

Jose A. Lozano, Jonathan Ortigosa-Hern'andez, Inaki Inza, 2016 .

Parallel problem solving from nature - PPSN VIII : 8th International Conference, Birmingham, UK, September 18-22, 2004 : proceedings

Edmund K. Burke, Xin Yao, Jose A. Lozano, 2004 .

Two datasets of defect reports labeled by a crowd of annotators of unknown reliability

Rachel Harrison, Jose A. Lozano, Iñaki Inza, 2018, Data in brief.

Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2012 .

Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World

Qingfu Zhang, Zbigniew Michalewicz, Riccardo Poli, 2007 .

Dealing with Software Testing via Estimation of Distribution Algorithms: a preliminary research

Jose A. Lozano, Ramón Sagarna, Roberto Murga, 2003 .

Dynamic Kernel Selection Criteria for Bayesian Optimization

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2014 .

Self-Adaptive Representations to Enhance the Generation of Software Test Data

Jose A. Lozano, Ramón Sagarna, 2005 .

Anatomy of the Attraction Basins: Breaking with the Intuition

Jose A. Lozano, Alexander Mendiburu, Leticia Hernando, 2019, Evolutionary Computation.

The Convergence Behavior of the PBIL Algorithm

Pedro Larrañaga, Jose A. Lozano, Cristina González, 2001 .

Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms

Concha Bielza, Pedro Larrañaga, Jose A. Lozano, 2010 .

Journey to the center of the linear ordering problem

Jose A. Lozano, Alexander Mendiburu, Leticia Hernando, 2020, GECCO.

Fish recruitment prediction, using robust supervised classification methods

Jose A. Lozano, Iñaki Inza, Jose A. Fernandes, 2010 .

Estudio de la probabilidad del óptimo en EDAs basados en redes Bayesianas

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2009 .

Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2020, ArXiv.

Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks

Pedro Larrañaga, Jose A. Lozano, Jose M. Peña, 2000 .

An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm

Jose A. Lozano, Marco Capó, Aritz Pérez, 2022, IEEE Trans. Knowl. Data Eng..

Genetic algorithms applied to Bayesian networks

Pedro Larrañaga, Jose A. Lozano, Manuel Graña, 1996 .

Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics

Jose A. Lozano, Iñaki Inza, Pablo Rozas Larraondo, 2020, Journal of Advances in Modeling Earth Systems.

Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research

Jose A. Lozano, Alexander Mendiburu, J. A. Lozano, 2002, Estimation of Distribution Algorithms.

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly

M. Inés Torres, María Inés Torres, Jose A. Lozano, 2019, Multimodal Technol. Interact..

Estimation of Distribution Algorithms Applied To Combinatorial Optimization Problems

Pedro Larrañaga, Jose A. Lozano, H. Mühlenbein, 2003 .

Estimation of Distribution Algorithms

Pedro Larrañaga, Jose A. Lozano, J. A. Lozano, 2002, Genetic Algorithms and Evolutionary Computation.

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness

Sanjoy Dasgupta, Jose A. Lozano, Alexander Mendiburu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms

Jose A. Lozano, Josu Ceberio, Abolfazl Shirazi, 2019 .

Machine Learning : Editorial

Pedro Larrañaga, Jose A. Lozano, Iñaki Inza, 2005 .

Parallel Estimation of Distribution Algorithms

Pedro Larrañaga, Jose A. Lozano, Ramón Sagarna, 2002, Estimation of Distribution Algorithms.

A Review on Outlier/Anomaly Detection in Time Series Data pdf

Jose A. Lozano, Usue Mori, Angel Conde, 2020, ACM Comput. Surv..

On solving cycle problems with Branch-and-Cut: extending shrinking and exact subcycle elimination separation algorithms pdf

Jose A. Lozano, Gorka Kobeaga, Mar'ia Merino, 2020, Annals of Operations Research.

A revisited branch-and-cut algorithm for large-scale orienteering problems pdf

Jose A. Lozano, Gorka Kobeaga, Mar'ia Merino, 2020, ArXiv.

Taxonomization of Combinatorial Optimization Problems in Fourier Space pdf

Jose A. Lozano, Leticia Hernando, Anne Elorza, 2019, ArXiv.

Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering

Pedro Larrañaga, Manuel Graña, Jose A. Lozano, 1997, ICANNGA.

A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators

Jose A. Lozano, Iñaki Inza, Jerónimo Hernández-González, 2019, IEEE Transactions on Knowledge and Data Engineering.

Research topics in discrete estimation of distribution algorithms based on factorizations

Pedro Larrañaga, Jose A. Lozano, Roberto Santana, 2009, Memetic Comput..

Intelligent Data Engineering and Automated Learning – IDEAL 2014

Jose A. Lozano, Hujun Yin, Emilio Corchado Rodríguez, 2014, Lecture Notes in Computer Science.

Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

Jose A. Lozano, Josu Ceberio, Abolfazl Shirazi, 2018, Progress in Aerospace Sciences.

Software Metrics Mining to Predict the Performance of Estimation of Distribution Algorithms in Test Data Generation

Jose A. Lozano, Ramón Sagarna, J. A. Lozano, 2008 .

Experimental Results in Function Optimization with EDAs in Continuous Domain

Pedro Larrañaga, Jose A. Lozano, Endika Bengoetxea, 2002, Estimation of Distribution Algorithms.

A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks

Jose A. Lozano, Pablo Rozas Larraondo, Luigi J. Renzullo, 2019, 1903.10274.

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework

Jose A. Lozano, Iñaki Inza, J. A. Lozano, 2019, Artificial Intelligence Review.

Protein structure prediction in simplified models with estimation of distribution algorithms

Pedro Larrañaga, Jose A. Lozano, Roberto Santana, 2005 .

Forecasting recruitment of multiple fish species using multi-dimensional Bayesian network classifiers.

Jose A. Lozano, Iñaki Inza, Juan Diego Rodríguez, 2013 .

A Method for Wind Speed Forecasting in Airports Based on Nonparametric Regression

Jose A. Lozano, Iñaki Inza, Pablo Rozas-Larraondo, 2014 .

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions

Jose A. Lozano, Alexander Mendiburu, Borja Calvo, 2019, Evolutionary Computation.

Analysis of Dominant Classes in Universal Adversarial Perturbations pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2020, ArXiv.

In-depth analysis of SVM kernel learning and its components

Jose A. Lozano, Roberto Santana, Ibai Roman, 2020, Neural Computing and Applications.

Evolving Gaussian Process kernels from elementary mathematical expressions pdf

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2019, ArXiv.

Simulation Framework for Orbit Propagation and Space Trajectory Visualization

Jose A. Lozano, Josu Ceberio, Abolfazl Shirazi, 2021, IEEE Aerospace and Electronic Systems Magazine.

When and How to Fool Explainable Models (and Humans) with Adversarial Examples pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2021, ArXiv.

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2021, Annals of Mathematics and Artificial Intelligence.

Mallows and generalized Mallows model for matchings

Jose A. Lozano, Borja Calvo, Ekhine Irurozki, 2019, Bernoulli.

A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation

Jose A. Lozano, Aritz Pérez, Juan Diego Rodríguez, 2009 .

Mallows model under the Ulam distance : a feasible combinatorial approach

Jose A. Lozano, Ekhine Irurozki, Josu Ceberio, 2014 .

Optimization by Max-Propagation Using Kikuchi Approximations

Pedro Larrañaga, Robin Höns, Jose A. Lozano, 2007 .

Scatter Search and Estimation of Distribution Algorithms in Software Testing: Competition and Cooperation

Jose A. Lozano, 2003 .

Increasing Power of Genome-Wide Association Studies by Collecting Additional Single-Nucleotide Polymorphisms

Eleazar Eskin, Jose A. Lozano, Emrah Kostem, 2011, Genetics.

The Convergence Behavior of the PBIL Algorithm: A Preliminary Approach

Pedro Larrañaga, Jose A. Lozano, J. A. Lozano, 2001 .