Thesis

  1. Advances in probabilistic graphical models for optimisation and learningapplications in protein modeling 2006

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

Supervised Theses (6)

  1. Broadening the Horizon of Adversarial Attacks in Deep Learning 2023

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    VADILLO JUEGUEN, JON

  2. Contributions to Vine-Copula Modeling 2022

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    CARRERA SOTO, DIANA MARIA

  3. Assessing the representation of seen and unseen contents in human brains and deep artificial networks 2022

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    MEI, NING

  4. Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization 2022

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    Murua Etxeberria, Maialen

  5. Contributions to neuronal architecture search in generative and multitask modeling 2021

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    GARCIARENA HUALDE, UNAI

  6. Contributions to automatic learning of kernel functions 2020

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    ROMAN TXOPITEA, IBAI

Theses Committees (3)

  1. Secretary of the Committee

    Efficient meta-heuristics for spacecraft trajectory optimization 2021

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    Shirazi, Abolfazl

  2. Committee Member

    Regularized model learning in EDAs for continuous and multi-objective optimization 2013

    Universidad Politécnica de Madrid

    Karshenas Najafabadi, Hossein

  3. Committee Member

    Avances en algoritmos de estimación de distribuciones: alternativas en el aprendizaje y representación de problemas 2010

    Universidad del País Vasco - Euskal Herriko Unibertsitatea

    Miquélez Echegaray, María Teresa