Publicaciones en las que colabora con JESUS MANUEL MAUDES RAEDO (21)

2024

  1. Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

    Information Fusion, Vol. 107

2018

  1. Identifying maximum imbalance in datasets for fault diagnosis of gearboxes

    Journal of Intelligent Manufacturing, Vol. 29, Núm. 2, pp. 333-351

2017

  1. Random Forest ensemble prediction of stent dimensions in microfabrication processes

    International Journal of Advanced Manufacturing Technology, Vol. 91, Núm. 1-4, pp. 879-893

2015

  1. An SVM-based solution for fault detection in wind turbines

    Sensors (Switzerland), Vol. 15, Núm. 3, pp. 5627-5648

2013

  1. Improvements in modelling of complex manufacturing processes using classification techniques

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

2012

  1. Disturbing neighbors ensembles of trees for imbalanced data

    Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012

  2. Random feature weights for decision tree ensemble construction

    Information Fusion, Vol. 13, Núm. 1, pp. 20-30

  3. Supervised subspace projections for constructing ensembles of classifiers

    Information Sciences, Vol. 193, pp. 1-21

  4. Wind turbines fault diagnosis using ensemble classifiers

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

2011

  1. Random projections for linear SVM ensembles

    Applied Intelligence

2010

  1. An empirical study of multilayer perceptron ensembles for regression tasks

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

  2. An experimental study on ensembles of functional trees

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

  3. Forests of nested dichotomies

    Pattern Recognition Letters, Vol. 31, Núm. 2, pp. 125-132

  4. Random projections for SVM ensembles

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

2009

  1. Disturbing neighbors diversity for decision forests

    Studies in Computational Intelligence

  2. Disturbing neighbors ensembles for linear SVM

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

2008

  1. Cascading with VDM and binary decision trees for nominal data

    Studies in Computational Intelligence

  2. License plate number recognition: New heuristics and a comparative study of classifiers

    ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics

2007

  1. Adding interactivity to Andrews curves and extensions

    Proceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007

  2. Cascading for nominal data

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