Teses dirixidas (35) Teses que dirixiron as persoas membros do grupo

2022

  1. On the Design, Implementation and Application of Novel Multi-disciplinary Techniques for explaining Artificial Intelligence Models

    Barredo Arrieta, Alejandro

    Dirixida por Javier del Ser Lorente
  2. Damage identification in bridges combining deep learning and computational mechanic

    FERNÁNDEZ NAVAMUEL DEL OLMO, ANA

    Dirixida por David Pardo Zubiaur
  3. Deep Learning for Inverting Borehole Resistivity Measurements

    RIVERA GONZALEZ, JON ANDER

    Dirixida por Elisabete Alberdi Celaya y David Pardo Zubiaur

2020

  1. Advances on time series analysis using elastic measures of similarity

    Oregui Bravo, Izaskun

    Dirixida por Javier del Ser Lorente
  2. Flbeia fisheries management simulation model. Definition of new criteria and guidelines for efficient validation of the model using global sensitivity analysis

    GARCIA RODRIGUEZ, DORLETA

    Dirixida por Inmaculada Arostegui Madariaga y Raúl Prellezo Iguaran

2019

  1. Millimetre wave communications in 5g networks under latency constraints: machine intelligence, application scenarios and perspectives

    PERFECTO DEL AMO, CRISTINA BEGOÑA

    Dirixida por Miren Nekane Bilbao Maron y Javier del Ser Lorente
  2. Explicit-in-time variational formulations for goal-oriented adaptivity

    MUÑOZ MATUTE, JUDIT

    Dirixida por Elisabete Alberdi Celaya y David Pardo Zubiaur
  3. Euskal Autonomia Erkidegoko kolon eta ondesteko minbiziaren baheketa programan parte-hartzean lehen mailako arretak duen rola

    Unanue Arza, Saloa

    Dirixida por Inmaculada Arostegui Madariaga

2018

  1. Design and validation of novel methods for long-term road traffic forecasting

    LAÑA AURRECOECHEA, IBAI

    Dirixida por Manuel María Vélez Elordi y Javier del Ser Lorente
  2. Fast one-dimensional finite element approximation of geophysical measurements

    SHAHRIARI SHOURABI, MOSTAFA

    Dirixida por David Pardo Zubiaur
  3. Refined isogeometric analysis: a solver-based discretization method

    GARCIA LOZANO, DANIEL ALFONSO

    Dirixida por David Pardo Zubiaur
  4. New perspectives and methods for stream learning in the presence of concept drift

    LOPEZ LOBO, JESUS

    Dirixida por Miren Nekane Bilbao Maron y Javier del Ser Lorente

2017

  1. Runge-Kutta metodo inplizitu sinplektikoen inplementazio eraginkorra, eguzki-sistemaren simulaziorako aplikazioarekin

    ANTOÑANA OTAÑO, MIKEL

    Dirixida por Joseba Makazaga Odria y Ander Murua Uria
  2. Hierarchical modelling of patient-reported outcomes data based on the beta-binomial distribution

    Nájera Zuloaga, Josu

    Dirixida por Inmaculada Arostegui Madariaga
  3. Goal-oriented adaptivity using unconventional error representations

    DARRIGRAND, VINCENT

    Dirixida por David Pardo Zubiaur

2014

  1. Resource allocation in systems with time-varying capacity

    ERAUSQUIN RODRIGUEZ, MARTIN

    Dirixida por Urtzi Ayesta Morate y Eva Ferreira García
  2. Numerical modelling of cold crucible induction melting (ccim)

    QUINTANA AZPIAZU, ION

    Dirixida por Jon Zigor Azpilgain Balerdi y David Pardo Zubiaur
  3. Advanced meta-heuristic approaches and their application to operational optimization in forest wildfire management

    Bilbao Maron, Miren Nekane

    Dirixida por Javier del Ser Lorente

2012

  1. Joint network-channel coding schemes for relay networks

    Hernáez Arrazola, Mikel

    Dirixida por Javier del Ser Lorente