Publicacions en què col·labora amb Pedro Larrañaga Múgica (11)

2020

  1. On generating random Gaussian graphical models

    International Journal of Approximate Reasoning, Vol. 125, pp. 240-250

  2. Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data

    IEEE Access, Vol. 8, pp. 154614-154624

2018

  1. A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices

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

  2. A partial orthogonalization method for simulating covariance and concentration graph matrices

    Proceedings of Machine Learning Research

  3. MultiMap: A tool to automatically extract and analyse spatial microscopic data from large stacks of confocal microscopy images

    Frontiers in Neuroanatomy, Vol. 12

2016

  1. Decision functions for chain classifiers based on Bayesian networks for multi-label classification

    International Journal of Approximate Reasoning, Vol. 68, pp. 164-178

2015

  1. A survey on multi-output regression

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 5, Núm. 5, pp. 216-233

  2. Conditional density approximations with mixtures of polynomials

    International Journal of Intelligent Systems, Vol. 30, Núm. 3, pp. 236-264

  3. Decision Boundary for Discrete Bayesian Network Classifiers

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015

  4. Decision boundary for discrete Bayesian network classifiers

    Journal of Machine Learning Research, Vol. 16, pp. 2725-2749

2014

  1. Expressive power of binary relevance and chain classifiers based on Bayesian networks for multi-label classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8754, pp. 519-534