Publicaciones (40) Publicaciones de BORJA CALVO MOLINOS

2022

  1. Are the statistical tests the best way to deal with the biomarker selection problem?

    Knowledge and Information Systems, Vol. 64, Núm. 6, pp. 1549-1570

  2. Bayesian Performance Analysis for Algorithm Ranking Comparison

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

  3. Non-parametric discretization for probabilistic labeled data

    Pattern Recognition Letters, Vol. 161, pp. 52-58

2021

  1. Ideafix: A decision tree-based method for the refinement of variants in FFPE DNA sequencing data

    NAR Genomics and Bioinformatics, Vol. 3, Núm. 4

  2. Statistical model for reproducibility in ranking-based feature selection

    Knowledge and Information Systems, Vol. 63, Núm. 2, pp. 379-410

2020

  1. An Iterated Local Search Algorithm for the Clonal Deconvolution Problem

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  2. Penalized Partial Least Square applied to structured data

    Arabian Journal of Mathematics, Vol. 9, Núm. 2, pp. 329-344

2019

  1. Bayesian performance analysis for black-box optimization benchmarking

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

  2. I4TSPS: A Visual-Interactive Web System for Industrial Time-Series Pre-processing

    Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

  3. Mallows and generalized Mallows model for matchings

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

  4. On the evaluation and selection of classifier learning algorithms with crowdsourced data

    Applied Soft Computing Journal, Vol. 80, pp. 832-844

  5. Supervised non-parametric discretization based on Kernel density estimation

    Pattern Recognition Letters, Vol. 128, pp. 496-504

2018

  1. Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

  2. Bayesian inference for algorithm ranking analysis

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

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

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

  4. 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. Luminal B breast cancer subtype displays a dicotomic epigenetic pattern

    SpringerPlus, Vol. 5, Núm. 1

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

    Journal of Statistical Software, Vol. 71

  3. scmamp: Statistical comparison of multiple algorithms in multiple problems

    R Journal, Vol. 8, Núm. 1, pp. 248-256