Publicaciones (124) Publicaciones de ALEXANDER MENDIBURU ALBERRO

2024

  1. A roadmap for solving optimization problems with estimation of distribution algorithms

    Natural Computing, Vol. 23, Núm. 1, pp. 99-113

2023

  1. Analyzing the interplay between transferable GANs and gradient optimizers

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

  2. Efficient concept drift handling for batch android malware detection models

    Pervasive and Mobile Computing, Vol. 96

  3. Neural Improvement Heuristics for Graph Combinatorial Optimization Problems

    IEEE Transactions on Neural Networks and Learning Systems

  4. Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

  5. Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components

    IEEE Transactions on Neural Networks and Learning Systems

  6. Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning

    Computers and Security, Vol. 124

2022

  1. A grammar-based GP approach applied to the design of deep neural networks

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 3, pp. 427-452

  2. Adversarial Perturbations for Evolutionary Optimization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021

  1. Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

    Annals of Mathematics and Artificial Intelligence, Vol. 89, Núm. 8-9, pp. 835-856

  3. Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation

    Neurocomputing, Vol. 462, pp. 426-439

  4. Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  5. In-depth analysis of SVM kernel learning and its components

    Neural Computing and Applications, Vol. 33, Núm. 12, pp. 6575-6594

  6. On the exploitation of neuroevolutionary information

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  7. Towards automatic construction of multi-network models for heterogeneous multi-task learning

    ACM Transactions on Knowledge Discovery from Data, Vol. 15, Núm. 2

2020

  1. A Symmetric grammar approach for designing segmentation models

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  2. Analysis of the transferability and robustness of GANs evolved for Pareto set approximations

    Neural Networks, Vol. 132, pp. 281-296

  3. Automatic structural search for multi-task learning VALPs

    Communications in Computer and Information Science

  4. Bayesian Optimization Approaches for Massively Multi-modal Problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)