Supervised theses (43) Theses supervised by group members

2023

  1. Broadening the Horizon of Adversarial Attacks in Deep Learning

    VADILLO JUEGUEN, JON

    Supervised by ROBERTO SANTANA HERMIDA y JOSE ANTONIO LOZANO ALONSO
  2. Supervised learning in time-dependent environments with performance guarantees

    ÁLVAREZ CASTRO, VERÓNICA

    Supervised by JOSE ANTONIO LOZANO ALONSO
  3. Contributions to the mathematical modeling of estimation of distribution algorithms and pseudo-boolean functions

    UNANUE GUAL, IMANOL

    Supervised by JOSE ANTONIO LOZANO ALONSO y MARIA MERINO MAESTRE

2022

  1. Contributions to Time Series Classification: Meta-Learning and Explainability

    Abanda Elustondo, Amaia

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

    Murua Etxeberria, Maialen

    Supervised by ROBERTO SANTANA HERMIDA
  3. Contributions to Vine-Copula Modeling

    CARRERA SOTO, DIANA MARIA

    Supervised by ROBERTO SANTANA HERMIDA y JOSE ANTONIO LOZANO ALONSO
  4. Assessing the representation of seen and unseen contents in human brains and deep artificial networks

    MEI, NING

    Supervised by ROBERTO SANTANA HERMIDA
  5. Advances in Streaming Novelty Detection

    CARREÑO LOPEZ, ANDER

    Supervised by IÑAKI INZA CANO y JOSE ANTONIO LOZANO ALONSO
  6. Contributions to time series data mining towards the detection of outliers/anomalies

    BLÁZQUEZ GARCÍA, ANE

    Supervised by USUE MORI CARRASCAL

2021

  1. Efficient meta-heuristics for spacecraft trajectory optimization

    Shirazi, Abolfazl

    Supervised by JOSU CEBERIO URIBE y JOSE ANTONIO LOZANO ALONSO
  2. Contributions to neuronal architecture search in generative and multitask modeling

    GARCIARENA HUALDE, UNAI

    Supervised by JOSE ANTONIO LOZANO ALONSO, ROBERTO SANTANA HERMIDA y ALEXANDER MENDIBURU ALBERRO
  3. Algorithms for large orienteering problems

    KOBEAGA URRIOLABEITIA, GORKA

    Supervised by JOSE ANTONIO LOZANO ALONSO y MARIA MERINO MAESTRE

2020

  1. High performance scientific computing in applications with direct finite element simulation

    KRISHNASAMY, EZHILMATHI

    Supervised by JOSE ANTONIO LOZANO ALONSO
  2. Contributions to automatic learning of kernel functions

    ROMAN TXOPITEA, IBAI

    Supervised by ROBERTO SANTANA HERMIDA y ALEXANDER MENDIBURU ALBERRO

2019

  1. Application of machine learning techniques to weather forecasting

    ROZAS LARRAONDO, PABLO

    Supervised by IÑAKI INZA CANO y JOSE ANTONIO LOZANO ALONSO
  2. Variable selection for data aggregated from different sources with group of variable structure

    Broc, Camilo Lucien

    Supervised by BORJA CALVO MOLINOS
  3. K-means for massive data

    CAPO RANGEL, MARCO VINICIO

    Supervised by ARITZ PEREZ MARTINEZ y JOSE ANTONIO LOZANO ALONSO

2018

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

    ORTIGOSA HERNANDEZ, JONATHAN

    Supervised by 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

    Supervised by JOSE ANTONIO LOZANO ALONSO y CHRISTIAN BLUM

2015

  1. Contributions to High-Throughput Computing Based on the Peer-to-Peer Paradigm

    Pérez Miguel, Carlos

    Supervised by JOSE MIGUEL ALONSO y ALEXANDER MENDIBURU ALBERRO
  2. Contributions to the efficient use of general purpose coprocessors: kernel density estimation as case study

    López Novoa, Unai

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

    Hernández González, Jerónimo

    Supervised by JOSE ANTONIO LOZANO ALONSO y IÑAKI INZA CANO
  4. Contributions to time series data mining departing from the problem of road travel time modeling

    MORI CARRASCAL, USUE

    Supervised by ALEXANDER MENDIBURU ALBERRO y JOSE ANTONIO LOZANO ALONSO
  5. Instances of combinatorial optimization problems: complexity and generation

    Hernando Rodríguez, Leticia

    Supervised by JOSE ANTONIO LOZANO ALONSO y ALEXANDER MENDIBURU ALBERRO

2014

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

    IRUROZQUI ARRIETA, EKHIÑE

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

    CEBERIO URIBE, JOSU

    Supervised by ALEXANDER MENDIBURU ALBERRO y JOSE ANTONIO LOZANO ALONSO

2013

  1. Advances in error estimation and multi-dimensional supervised classification

    RODRIGUEZ FERNANDEZ, JUAN DIEGO

    Supervised by ARITZ PEREZ MARTINEZ y JOSE ANTONIO LOZANO ALONSO
  2. Tools for the realistic evaluation of parallel computing systems

    RIDRUEJO PEREZ, FRANCISCO JAVIER

    Supervised by JAVIER NAVARIDAS PALMA y JOSE MIGUEL ALONSO
  3. Mechanisms and techniques for scheduling in supercomputers

    PASCUAL SAIZ, JOSE ANTONIO

    Supervised by JOSE ANTONIO LOZANO ALONSO y JOSE MIGUEL ALONSO

2012

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

    ECHEGOYEN ARRUTI, CARLOS

    Supervised by 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

    Supervised by JOSE ANTONIO LOZANO ALONSO y IÑAKI INZA CANO

2010

  1. Supervised classification in continuous domains with Bayesian networks

    Pérez Martínez, Aritz

    Supervised by IÑAKI INZA CANO y PEDRO MARIA LARRAÑAGA MUGICA

2009

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

    Navaridas Palma, Javier

    Supervised by JOSE MIGUEL ALONSO
  2. Consensus policies to solve bioinformatic problems through Bayesian network classifiers and estimation of distribution algorithms

    Armañanzas Arnedillo, Ruben

    Supervised by IÑAKI INZA CANO y PEDRO MARIA LARRAÑAGA MUGICA

2008

  1. Positive unlabelled learning with applications in computational biology

    Calvo Molinos, Borja

    Supervised by JOSE ANTONIO LOZANO ALONSO y PEDRO MARIA LARRAÑAGA MUGICA
  2. Advances on supervised and unsupervised learning of Bayesian network models: application to population genetics

    Santafé Rodrigo, Guzmán

    Supervised by JOSE ANTONIO LOZANO ALONSO y PEDRO MARIA LARRAÑAGA MUGICA

2006

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

    Santana Hermida, Roberto

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

    Mendiburu Alberro, Alexander

    Supervised by JOSE MIGUEL ALONSO y JOSE ANTONIO LOZANO ALONSO
  3. Contributions on theoretical aspects of estimation of distributions algorithms

    González Morgado, María Cristina

    Supervised by PEDRO MARIA LARRAÑAGA MUGICA y JOSE ANTONIO LOZANO ALONSO

2005

  1. Learning Bayesian networks form data with factorisation and classification purposes: applications in biomedicine

    Blanco Gómez, Rosa

    Supervised by PEDRO MARIA LARRAÑAGA MUGICA y IÑAKI INZA CANO

2001

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

    Peña Palomar, José Manuel

    Supervised by PEDRO MARIA LARRAÑAGA MUGICA y JOSE ANTONIO LOZANO ALONSO

2000

  1. Una arquitectura indirecta para el acceso a redes de datos desde GSM

    RIVADENEYRA SICILIA JOSE M.

    Supervised by JOSE MIGUEL ALONSO