Publicaciones en colaboración con investigadoras/es de Basque Center for Applied Mathematics (21)

2023

  1. SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country

    Proceedings - 2023 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023

2021

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

    Neurocomputing, Vol. 462, pp. 426-439

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

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

  4. Sentiment analysis with genetically evolved Gaussian kernels

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

2018

  1. Algorithm 989: Perm_mateda: A matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems

    ACM Transactions on Mathematical Software, Vol. 44, Núm. 4

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

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

  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 on constrained combinatorial optimization problems

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

  5. Hill-Climbing Algorithm: Let's Go for a Walk before Finding the Optimum

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2017

  1. A square lattice probability model for optimising the Graph Partitioning Problem

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. Analyzing the performance of allocation strategies based on space-filling curves

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

  3. Are we generating instances uniformly at random?

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  4. Multi-objectivising combinatorial optimisation problems by means of elementary landscape decompositions

    Evolutionary Computation, Vol. 27, Núm. 2, pp. 291-311

2016

  1. A note on the Boltzmann distribution and the linear ordering problem

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