Publicaciones en las que colabora con Antonio Jesús Rivera Rivas (18)

2016

  1. Multilabel classification: Problem analysis, metrics and techniques

    Springer International Publishing, pp. 1-194

  2. On the impact of dataset complexity and sampling strategy in multilabel classifiers performance

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

  3. R ultimate multilabel dataset repository

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

2014

  1. Concurrence among imbalanced labels and its influence on multilabel resampling algorithms

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

  2. LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, Núm. 10, pp. 1842-1854

  3. MLeNN: A first approach to heuristic multilabel undersampling

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

2013

  1. A first approach to deal with imbalance in multi-label datasets

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

2012

  1. Improving multi-label classifiers via label reduction with association rules

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

2009

  1. A preliminar analysis of CO2RBFN in imbalanced problems

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