Publicaciones en las que colabora con JOSE FRANCISCO DIEZ PASTOR (29)

2018

  1. La automatización de aprendizaje automático

    Un enfoque multidisciplinar de la optimización (Servicio de Publicaciones e Imagen Institucional), pp. 119-145

  2. Local sets for multi-label instance selection

    Applied Soft Computing Journal, Vol. 68, pp. 651-666

  3. Local sets for multi-label instance selection

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

  4. Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning

    Expert Systems with Applications, Vol. 109, pp. 114-130

2016

  1. Instance selection for regression by discretization

    Expert Systems with Applications, Vol. 54, pp. 340-350

  2. Instance selection for regression: Adapting DROP

    Neurocomputing, Vol. 201, pp. 66-81

  3. Instance selection of linear complexity for big data

    Knowledge-Based Systems, Vol. 107, pp. 83-95

  4. Random feature weights for regression trees

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 91-103

2015

  1. An experimental study on combining binarization techniques and ensemble methods of decision trees

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

  2. Diversity techniques improve the performance of the best imbalance learning ensembles

    Information Sciences, Vol. 325, pp. 98-117

  3. Random Balance: Ensembles of variable priors classifiers for imbalanced data

    Knowledge-Based Systems, Vol. 85, pp. 96-111

2014

  1. Tree ensemble construction using a GRASP-based heuristic and annealed randomness

    Information Fusion, Vol. 20, Núm. 1, pp. 189-202

2013

  1. Random oracle ensembles for imbalanced data

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

  2. Rotation Forests for regression

    Applied Mathematics and Computation, Vol. 219, Núm. 19, pp. 9914-9924

2012

  1. Disturbing neighbors ensembles of trees for imbalanced data

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