Alexander Mendiburu
Orcid: 0000-0002-7271-1931
According to our database1,
Alexander Mendiburu
authored at least 122 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Evol. Learn. Optim., September, 2024
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
A roadmap for solving optimization problems with estimation of distribution algorithms.
Nat. Comput., March, 2024
Factorized models in neural architecture search: Impact on computational costs and performance.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the Advances in Artificial Intelligence, 2024
2023
Pervasive Mob. Comput., December, 2023
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection.
CoRR, 2023
Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning.
Comput. Secur., 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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
2022
Genet. Program. Evolvable Mach., 2022
Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors.
CoRR, 2022
2021
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning.
ACM Trans. Knowl. Discov. Data, 2021
Neural Comput. Appl., 2021
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation.
Neurocomputing, 2021
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components.
CoRR, 2021
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future.
CoRR, 2021
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation.
Ann. Math. Artif. Intell., 2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Genetic Programming - 24th European Conference, 2021
2020
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process.
IEEE Trans. Netw. Serv. Manag., 2020
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations.
Neural Networks, 2020
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Optimization and Learning - Third International Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Inf. Sci., 2019
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
Evol. Comput., 2019
CoRR, 2019
IEEE Access, 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
2018
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems.
ACM Trans. Math. Softw., 2018
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.
IEEE Trans. Neural Networks Learn. Syst., 2018
Prog. Artif. Intell., 2018
Expanding variational autoencoders for learning and exploiting latent representations in search distributions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Distance-based exponential probability models on constrained combinatorial optimization problems.
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
Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem.
Inf. Sci., 2017
Neurocomputing, 2017
Reliable early classification of time series based on discriminating the classes over time.
Data Min. Knowl. Discov., 2017
Evolving imputation strategies for missing data in classification problems with TPOT.
CoRR, 2017
Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants.
Appl. Soft Comput., 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Kernel density estimation in accelerators - Implementation and performance evaluation.
J. Supercomput., 2016
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2016
Nat. Comput., 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 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
A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing.
IEEE Trans. Parallel Distributed Syst., 2015
Comprehensive characterization of the behaviors of estimation of distribution algorithms.
Theor. Comput. Sci., 2015
An efficient implementation of kernel density estimation for multi-core and many-core architectures.
Int. J. High Perform. Comput. Appl., 2015
Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations.
Environ. Model. Softw., 2015
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems.
CoRR, 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
Competition-based failure-aware scheduling for High-Throughput Computing systems on peer-to-peer networks.
Clust. Comput., 2015
Appl. Soft Comput., 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
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
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing.
Inf. Sci., 2014
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?
Inf. Sci., 2014
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Future Gener. Comput. Syst., 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
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
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
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
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
2010
Proceedings of the Parallel and Distributed Computational Intelligence, 2010
Parallel Comput., 2010
Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms.
Artif. Intell. Medicine, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2007
Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains.
Connect. Sci., 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
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
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
IEEE Trans. Evol. Comput., 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
2002
Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research.
Proceedings of the Estimation of Distribution Algorithms, 2002