Publicaciones en las que colabora con BORJA CALVO MOLINOS (19)

2022

  1. Bayesian Performance Analysis for Algorithm Ranking Comparison

    IEEE Transactions on Evolutionary Computation, Vol. 26, Núm. 6, pp. 1281-1292

2019

  1. Bayesian performance analysis for black-box optimization benchmarking

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  2. Mallows and generalized Mallows model for matchings

    Bernoulli, Vol. 25, Núm. 2, pp. 1160-1188

2018

  1. Bayesian inference for algorithm ranking analysis

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  2. Sampling and Learning Mallows and Generalized Mallows Models Under the Cayley Distance

    Methodology and Computing in Applied Probability, Vol. 20, Núm. 1

  3. Zorizko instantzia uniformeak sortzen al dira optimizazio konbinatorioan?

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 34, pp. 261-277

2017

  1. Multi-objectivising combinatorial optimisation problems by means of elementary landscape decompositions

    Evolutionary Computation, Vol. 27, Núm. 2, pp. 291-311

2016

  1. PerMallows: An R package for mallows and generalized mallows models

    Journal of Statistical Software, Vol. 71

2015

  1. Multi-objectivising the quadratic assignment problem by means of an elementary landscape decomposition

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012

  1. Wrapper positive Bayesian network classifiers

    Knowledge and Information Systems, Vol. 33, Núm. 3, pp. 631-654

2011

  1. A preprocessing procedure for haplotype inference by pure parsimony

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 5, pp. 1183-1195

  2. Learning probability distributions over permutations by means of Fourier coefficients

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Machine learning: an indispensable tool in bioinformatics.

    Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 25-48

2009

  1. Differential micro RNA expression in PBMC from multiple sclerosis patients

    PLoS ONE, Vol. 4, Núm. 7

  2. Feature subset selection from positive and unlabelled examples

    Pattern Recognition Letters, Vol. 30, Núm. 11, pp. 1027-1036

2008

  1. Prioritization of candidate cancer genes-an aid to oncogenomic studies

    Nucleic Acids Research, Vol. 36, Núm. 18

2007

  1. A partially supervised classification approach to dominant and recessive human disease gene prediction

    Computer Methods and Programs in Biomedicine, Vol. 85, Núm. 3, pp. 229-237

  2. Learning Bayesian classifiers from positive and unlabeled examples

    Pattern Recognition Letters, Vol. 28, Núm. 16, pp. 2375-2384

2006

  1. Machine learning in bioinformatics

    Briefings in Bioinformatics, Vol. 7, Núm. 1, pp. 86-112