Publications by the researcher in collaboration with José María Matías Fernández (24)


  1. Functional statistical techniques applied to vine leaf water content determination

    Mathematical and Computer Modelling, Vol. 52, Núm. 7-8, pp. 1116-1122

  2. Partially linear support vector machines applied to the prediction of mine slope movements

    Mathematical and Computer Modelling, Vol. 51, Núm. 3-4, pp. 206-215


  1. Analysis of variance with functional data to detect color changes in granite

    IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings

  2. Comparison of K-means clustering, self-organizing maps and learning vector quantization applied to the construction of a new ornamental rock quality index

    Minería sostenible: conferencia internacional, 09 (Cámara Oficial Mineira de Galicia), pp. 901-912

  3. Determinación del ruido en una planta de tratamiento de áridos mediante la aplicación de técnicas estadísticas funcionales

    Minería sostenible: conferencia internacional, 09 (Cámara Oficial Mineira de Galicia), pp. 241-252

  4. Functional ANOVA used to detect colour changes in granite following water-repellent treatment

    AIP Conference Proceedings

  5. Functional support vector machines and generalized linear models for glacier geomorphology analysis

    International Journal of Computer Mathematics

  6. Kaolin quality prediction from samples: A Bayesian network approach

    AIP Conference Proceedings

  7. Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women

    Mathematical and Computer Modelling, Vol. 50, Núm. 5-6, pp. 673-679

  8. Reforestation planning using Bayesian networks

    Environmental Modelling and Software, Vol. 24, Núm. 11, pp. 1285-1292


  1. Assessing the viability of underground slate mining by combining an expert system with a GIS

    Engineering Geology, Vol. 87, Núm. 1-2, pp. 75-84

  2. Construction of an expert system for the evaluation of slate quality using machine learning techniques


  3. Managing distribution changes in time series prediction

    Journal of Computational and Applied Mathematics, Vol. 191, Núm. 2, pp. 206-215