README.md

2015

Contributions to time series data mining departing from the problem of travel time modeling

By Usue Mori

Advised by Alexander Mendiburu and Jose A. Lozano

Document

Contributions to learning Bayesian network models from weakly supervised data: Application to Assisted Reproductive Technologies and Software Defect Classification

By Jerónimo Hernández-González

Supervised by Iñaki Inza and Jose A. Lozano

Document

Contributions to the Efficient Use of General Purpose Coprocessors: Kernel Density Estimation as Case Study

By Unai Lopez-Novoa

Supervised by José Miguel-Alonso and Alexander Mendiburu

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

By Carlos Pérez-Miguel

Supervised by José Miguel-Alonso and Alexander Mendiburu

Document

Instances of Combinatorial Optimization Problems: Complexity and Generation

By Leticia Hernando

Supervised by Alexander Mendiburu and Jose A. Lozano

Document

2014

Solving Permutation Problems with Estimation of Distribution Algorithms and Extensions Thereof

By Ceberio, Josu

Supervised by Jose A. Lozano and Alexander Mendiburu

Document

Sampling and Learning Distance-Based Probability Models for Permutation Spaces

By Irurozki, Ekhiñe

Supervised by Borja Calvo and Jose A. Lozano

Document

2013

Tools for the realistic evaluation of parallel computing systems

By Francisco Javier Ridruejo

Supervised by Javier Navaridas and José Miguel-Alonso

Document

Mechanisms and Techniques for Scheduling in Supercomputers

By Pascual, Jose Antonio

José Miguel-Alonso and Jose A. Lozano

Document

Advances in Error Estimation and Multi-Dimensional Supervised Classification

By Rodríguez, Juan Diego

Supervised by Jose A. Lozano and Aritz Pérez

Document

2012

Contributions to the Analysis and Understanding of Estimation of Distribution Algorithms

By Echegoyen, Carlos

Supervised by Jose A. Lozano, Alexander Mendiburu and Roberto Santana

Document

2011

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

By Fernandes, Jose Antonio

Supervised by Jose A. Lozano and Iñaki Inza

Document

2010

Avances en Algoritmos de Estimación de Distribuciones. Alternativas en el Aprendizaje y Representación de Problemas

By Teres Miquélez

Supervised by Pedro Larrañaga and Endika Bengoetxea

Document

Supervised Classification in Continuous Domains with Bayesian Networks

By Aritz Pérez

Supervised by Pedro Larrañaga and Iñaki Inza

Document

2009

Performance Evaluation of Interconnection Networks using Simulation: Tools and Case Studies

By Javier Navaridas

José Miguel-Alonso

Document

Consensus Policies to Solve Bioinformatic Problems Through Bayesian Network Classifiers and Estimation of Distribution Algorithms

By Rubén Armañanzas

Supervised by Pedro Larrañaga and Iñaki Inza

Document

Clasificadores Bayesianos en la selección Embrionaria en Tratamientos de Reproducción Asistida

By Dinora Morales

Supervised by Endika Bengoetxea and Pedro Larrañaga

Document

2008

Positive Unlabelled Learning with Applications in Computational Biology

By Borja Calvo

Supervised by Jose A. Lozano and Pedro Larrañaga

Document

Advances on Supervised and Unsupervised Learning of Bayesian Network Models. Application to Population Genetics

By Guzmán Santafé

Supervised by Jose A. Lozano and Pedro Larrañaga

Document

2007

Algoritmos de Estimación de Distribuciones Aplicados a Problemas Combinatorios en Modelos Gráficos Probabilísticos

By Txomin Romero

Supervised by Pedro Larrañaga

Document

An Optimization Approach for Software Test Data Generation: Applications of Estimation of Distribution Algorithms and Scatter Search

By Ramón Sagarna

Supervised by Jose A. Lozano

Document

2006

Parallel Implementation of Estimation of Distribution Algorithms Based on Probabilistic Graphical Models. Application to Chemical Calibration Models

By Alexander Mendiburu

Supervised by José Miguel-Alonso and Jose A. Lozano

Document

Advances in Probabilistic Graphical Models for Optimization and Learning Applications in Protein Modelling

By Roberto Santana

Supervised by Jose A. Lozano and Pedro Larrañaga

Document

Contributions on Theoretical Aspects of Estimation of Distribution Algorithms

By Christina Gonzalez

Supervised by Jose A. Lozano

Document

2005

Learning Bayesian Networks from Data with Factorisation and Classification Purposes. Applications in Biomedicine

By Rosa Blanco

Supervised by Iñaki Inza and Pedro Larrañaga

Document

2002

Inexact Graph Matching Using Estimation of Distribution Algorithms

By Endika Bengoetxea

Supervised by Pedro Larrañaga and Isabelle Bloch

Document

Advances in Supervised Classification based on Probabilistic Graphical Models

By Iñaki Inza

Supervised by Pedro Larrañaga

Document

2000

Aportaciones Metodológicas a la Clasificación Supervisada

By Basilio Sierra

Supervised by Pedro Larrañaga

Document

1998

Algoritmos Genéticos Aplicados a la Clasificación no Supervisada

By Jose A. Lozano

Supervised by Pedro Larrañaga

Document

1995

Aprendizaje Estructural y Descomposición de Redes Bayesianas Via Algoritmos Genéticos

By Pedro Larrañaga

Supervised by Yosu Yurramendi

Document