Publicaciones en las que colabora con ELIAS FERNANDEZ COMBARRO ALVAREZ (25)

2018

  1. Using regression trees to predict citrus load balancing accuracy and costs

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 1, pp. 79-89

2017

  1. Identification of Agricultural Management Zones Through Clustering Algorithms with Thermal and Multispectral Satellite Imagery

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems

  2. Machine learning applied to the prediction of citrus production

    Spanish journal of agricultural research, Vol. 15, Núm. 2

2016

  1. Automatic arable land detection with supervised machine learning

    Earth Science Informatics, Vol. 9, Núm. 4, pp. 535-545

  2. Mapping cultivable land from satellite imagery with clustering algorithms

    International Journal of Applied Earth Observation and Geoinformation, Vol. 49, pp. 99-106

2015

  1. On the influence of temporal resolution on automatic delimitation using clustering algorithms

    Applied Mathematics and Information Sciences, Vol. 9, Núm. 2, pp. 339-347

2013

  1. On random generation of fuzzy measures

    Fuzzy Sets and Systems, Vol. 228, pp. 64-77

  2. Ranking COMMPS chemical substances by an improved POT/RLE approach

    Journal of Chemical Information and Modeling, Vol. 53, Núm. 12, pp. 3190-3201

2009

  1. Set Cover Feature Selection for Text Categorisation and spam detection

    International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 4, pp. 444-462

2008

  1. Using Laplace and angular measures for Feature Selection in Text Categorisation

    International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 1, pp. 40-59

2007

  1. A hybrid feature selection method for text categorization

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 15, Núm. 2, pp. 133-151

2006

  1. NoW architectures, dimensionality reduction and self-organizing maps for information retrieval

    Recent progress in computational sciences and engineering, vols 7A and 7B

2005

  1. Introducing a family of linear measures for feature selection in text categorization

    IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Núm. 9, pp. 1223-1232

  2. Scoring and selecting terms for tract categorization

    IEEE Intelligent Systems, Vol. 20, Núm. 3, pp. 40-47

  3. Towards automatic and optimal filtering levels for feature selection in Text Categorization

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

  4. Unsupervised learning in information retrieval using NOW architectures

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

2004

  1. Experiments with self organizing maps in CLEF 2003

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3237, pp. 358-366

  2. Extraction of document descriptive terms with a linguistic-based machine learning approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3037, pp. 658-661