Edurne Barrenechea Tartas-rekin lankidetzan egindako argitalpenak (9)

2017

  1. NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

    Information Fusion, Vol. 36, pp. 26-51

2016

  1. New ordering-based pruning metrics for ensembles of classifiers in imbalanced datasets

    Advances in Intelligent Systems and Computing

  2. Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

    Information Sciences, Vol. 354, pp. 178-196

2015

  1. DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

    Pattern Recognition, Vol. 48, Núm. 1, pp. 28-42

  2. Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies

    IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1562-1580

2014

  1. Empowering difficult classes with a similarity-based aggregation in multi-class classification problems

    Information Sciences, Vol. 264, pp. 135-157

  2. Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions

    FUSION 2014 - 17th International Conference on Information Fusion

2013

  1. Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers

    Pattern Recognition, Vol. 46, Núm. 12, pp. 3412-3424

  2. EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

    Pattern Recognition, Vol. 46, Núm. 12, pp. 3460-3471