Publicaciones en las que colabora con ALEXANDER MENDIBURU ALBERRO (84)

2024

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

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

2023

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

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

2021

  1. 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

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

    Neurocomputing, Vol. 462, pp. 426-439

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

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

2020

  1. 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)

  2. Evolving Gaussian Process Kernels for Translation Editing Effort Estimation

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

  3. Journey to the center of the linear ordering problem

    GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

2019

  1. An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization

    IEEE Access, Vol. 7, pp. 184294-184302

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

    GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference

  3. Denborazko serieen sailkapen goiztiarra helburu anitzeko optimizazio problema gisa aztertua

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 36, pp. 291-310

  4. Early classification of time series using multi-objective optimization techniques

    Information Sciences, Vol. 492, pp. 204-218

  5. Sentiment analysis with genetically evolved Gaussian kernels

    GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference

2018

  1. Anatomy of the attraction basins: Breaking with the intuition

    Evolutionary Computation, Vol. 27, Núm. 3, pp. 435-466

  2. Anatomy of the attraction basins: breaking with the intuition

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  3. Distance-based exponential probability models for constrained combinatorial problems

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

  4. Distance-based exponential probability models for constrained combinatorial problems: abstract

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Distance-based exponential probability models on constrained combinatorial optimization problems

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

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

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, Núm. 10, pp. 4569-4578

  7. Estimating attraction basin sizes of combinatorial optimization problems

    Progress in Artificial Intelligence, Vol. 7, Núm. 4, pp. 369-384