Tesis dirigidas (39) Tesis que han dirigido los miembros del grupo

2023

  1. Contributions to the mathematical modeling of estimation of distribution algorithms and pseudo-boolean functions

    UNANUE GUAL, IMANOL

    Dirigida por JOSE ANTONIO LOZANO ALONSO y MARIA MERINO MAESTRE
  2. Supervised learning in time-dependent environments with performance guarantees

    ÁLVAREZ CASTRO, VERÓNICA

    Dirigida por JOSE ANTONIO LOZANO ALONSO
  3. Broadening the Horizon of Adversarial Attacks in Deep Learning

    VADILLO JUEGUEN, JON

    Dirigida por ROBERTO SANTANA HERMIDA y JOSE ANTONIO LOZANO ALONSO

2022

  1. Contributions to Vine-Copula Modeling

    CARRERA SOTO, DIANA MARIA

    Dirigida por ROBERTO SANTANA HERMIDA y JOSE ANTONIO LOZANO ALONSO
  2. Contributions to Time Series Classification: Meta-Learning and Explainability

    Abanda Elustondo, Amaia

    Dirigida por JOSE ANTONIO LOZANO ALONSO y USUE MORI CARRASCAL
  3. Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization

    Murua Etxeberria, Maialen

    Dirigida por ROBERTO SANTANA HERMIDA
  4. Assessing the representation of seen and unseen contents in human brains and deep artificial networks

    MEI, NING

    Dirigida por ROBERTO SANTANA HERMIDA
  5. Contributions to time series data mining towards the detection of outliers/anomalies

    BLÁZQUEZ GARCÍA, ANE

    Dirigida por USUE MORI CARRASCAL
  6. Advances in Streaming Novelty Detection

    CARREÑO LOPEZ, ANDER

    Dirigida por IÑAKI INZA CANO y JOSE ANTONIO LOZANO ALONSO

2021

  1. Algorithms for large orienteering problems

    KOBEAGA URRIOLABEITIA, GORKA

    Dirigida por JOSE ANTONIO LOZANO ALONSO y MARIA MERINO MAESTRE
  2. Efficient meta-heuristics for spacecraft trajectory optimization

    Shirazi, Abolfazl

    Dirigida por JOSU CEBERIO URIBE y JOSE ANTONIO LOZANO ALONSO
  3. Contributions to neuronal architecture search in generative and multitask modeling

    GARCIARENA HUALDE, UNAI

    Dirigida por JOSE ANTONIO LOZANO ALONSO, ROBERTO SANTANA HERMIDA y ALEXANDER MENDIBURU ALBERRO

2020

  1. Contributions to automatic learning of kernel functions

    ROMAN TXOPITEA, IBAI

    Dirigida por ROBERTO SANTANA HERMIDA y ALEXANDER MENDIBURU ALBERRO
  2. High performance scientific computing in applications with direct finite element simulation

    KRISHNASAMY, EZHILMATHI

    Dirigida por JOSE ANTONIO LOZANO ALONSO

2019

  1. K-means for massive data

    CAPO RANGEL, MARCO VINICIO

    Dirigida por ARITZ PEREZ MARTINEZ y JOSE ANTONIO LOZANO ALONSO
  2. Application of machine learning techniques to weather forecasting

    ROZAS LARRAONDO, PABLO

    Dirigida por IÑAKI INZA CANO y JOSE ANTONIO LOZANO ALONSO
  3. Variable selection for data aggregated from different sources with group of variable structure

    Broc, Camilo Lucien

    Dirigida por BORJA CALVO MOLINOS

2018

  1. Theoretical and methodological advances in semi-supervised learning and the class-imbalance problem

    ORTIGOSA HERNANDEZ, JONATHAN

    Dirigida por IÑAKI INZA CANO y JOSE ANTONIO LOZANO ALONSO

2017

  1. Development of hybrid metaheuristics based on instance reduction for combinatorial optimization problems

    PINACHO DAVIDSON, PEDRO PABLO

    Dirigida por JOSE ANTONIO LOZANO ALONSO y CHRISTIAN BLUM

2015

  1. Instances of combinatorial optimization problems: complexity and generation

    Hernando Rodríguez, Leticia

    Dirigida por JOSE ANTONIO LOZANO ALONSO y ALEXANDER MENDIBURU ALBERRO
  2. Contributions to the efficient use of general purpose coprocessors: kernel density estimation as case study

    López Novoa, Unai

    Dirigida por JOSE MIGUEL ALONSO y ALEXANDER MENDIBURU ALBERRO
  3. Contributions to time series data mining departing from the problem of road travel time modeling

    MORI CARRASCAL, USUE

    Dirigida por ALEXANDER MENDIBURU ALBERRO y JOSE ANTONIO LOZANO ALONSO
  4. Contributions to High-Throughput Computing Based on the Peer-to-Peer Paradigm

    Pérez Miguel, Carlos

    Dirigida por JOSE MIGUEL ALONSO y ALEXANDER MENDIBURU ALBERRO
  5. Contributions to learning Bayesian network models from weakly supervised data: Application to Assisted Reproductive Technologies and Software Defect Classification

    Hernández González, Jerónimo

    Dirigida por JOSE ANTONIO LOZANO ALONSO y IÑAKI INZA CANO

2014

  1. Sampling and learning distance-based probability models for permutation spaces

    IRUROZQUI ARRIETA, EKHIÑE

    Dirigida por BORJA CALVO MOLINOS y JOSE ANTONIO LOZANO ALONSO
  2. Solving permutation problems with estimation of distribution algorithms and extensions thereof

    CEBERIO URIBE, JOSU

    Dirigida por ALEXANDER MENDIBURU ALBERRO y JOSE ANTONIO LOZANO ALONSO

2013

  1. Mechanisms and techniques for scheduling in supercomputers

    PASCUAL SAIZ, JOSE ANTONIO

    Dirigida por JOSE ANTONIO LOZANO ALONSO y JOSE MIGUEL ALONSO
  2. Tools for the realistic evaluation of parallel computing systems

    RIDRUEJO PEREZ, FRANCISCO JAVIER

    Dirigida por JAVIER NAVARIDAS PALMA y JOSE MIGUEL ALONSO
  3. Advances in error estimation and multi-dimensional supervised classification

    RODRIGUEZ FERNANDEZ, JUAN DIEGO

    Dirigida por ARITZ PEREZ MARTINEZ y JOSE ANTONIO LOZANO ALONSO

2012

  1. Contributions to the analysis and understanding of estimation of distribution algorithms

    ECHEGOYEN ARRUTI, CARLOS

    Dirigida por ALEXANDER MENDIBURU ALBERRO y JOSE ANTONIO LOZANO ALONSO

2011

  1. Data analysis advances in marine science for fisheries management: supervised classification applications

    Fernandes Salvador, José Antonio

    Dirigida por JOSE ANTONIO LOZANO ALONSO y IÑAKI INZA CANO

2009

  1. Performance evaluation of interconnection networks using simulation: tools and case studies

    Navaridas Palma, Javier

    Dirigida por JOSE MIGUEL ALONSO

2008

  1. Advances on supervised and unsupervised learning of Bayesian network models: application to population genetics

    Santafé Rodrigo, Guzmán

    Dirigida por JOSE ANTONIO LOZANO ALONSO y PEDRO MARIA LARRAÑAGA MUGICA
  2. Positive unlabelled learning with applications in computational biology

    Calvo Molinos, Borja

    Dirigida por JOSE ANTONIO LOZANO ALONSO y PEDRO MARIA LARRAÑAGA MUGICA

2007

  1. An optimization approach for software test data generation: applications of estimation of distribution algorithms and scatter search

    Sagarna Almandoz, Ramón

    Dirigida por JOSE ANTONIO LOZANO ALONSO

2006

  1. Advances in probabilistic graphical models for optimisation and learning: applications in protein modeling

    Santana Hermida, Roberto

    Dirigida por PEDRO MARIA LARRAÑAGA MUGICA y JOSE ANTONIO LOZANO ALONSO
  2. Contributions on theoretical aspects of estimation of distributions algorithms

    González Morgado, María Cristina

    Dirigida por PEDRO MARIA LARRAÑAGA MUGICA y JOSE ANTONIO LOZANO ALONSO
  3. Parallel implementation of estimation of distribution algorithms based on probabilistic graphical models. Application to chemical calibration models

    Mendiburu Alberro, Alexander

    Dirigida por JOSE MIGUEL ALONSO y JOSE ANTONIO LOZANO ALONSO

2001

  1. On unsupervised learning of Bayesian networks and conditional Gaussian networks

    Peña Palomar, José Manuel

    Dirigida por PEDRO MARIA LARRAÑAGA MUGICA y JOSE ANTONIO LOZANO ALONSO