Publicaciones en las que colabora con JESUS MANUEL MAUDES RAEDO (25)

2024

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

    Information Fusion, Vol. 107

2018

  1. Predicción de delincuencia con datos públicos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2013

  1. An innovative moodle final project management module for bachelor and master's studies

    Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 8, Núm. 3, pp. 103-110

  2. 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

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. Boosting recombined weak classifiers

    Pattern Recognition Letters, Vol. 29, Núm. 8, pp. 1049-1059

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

    Studies in Computational Intelligence

  3. 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)

2006

  1. Boosting con reutilización de clasificadores débiles

    Una perspectiva de la inteligencia artificial en su 50 aniversario: Campus Multidisciplinar en Percepción e Inteligencia, CMPI 2006, Albacete, España, 10-14 de Julio del 2006 : actas