Publicacións nas que colabora con MARIA TERESA RIVAS BREA (20)

2009

  1. A Bayesian network analysis of workplace accidents caused by falls from a height

    Safety Science, Vol. 47, Núm. 2, pp. 206-214

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

    IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings

  3. Aplicación de técnicas de minería de datos para el análisis y predicción de accidentes en el sector minero

    Minería sostenible: conferencia internacional, 09 (Cámara Oficial Mineira de Galicia), pp. 271-286

  4. 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

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

    AIP Conference Proceedings

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

    International Journal of Computer Mathematics

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

    AIP Conference Proceedings

  8. Reforestation planning using Bayesian networks

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

2008

  1. A machine learning methodology for the analysis of workplace accidents

    International Journal of Computer Mathematics

  2. Evaluation of the reserve of a granite deposit by fuzzy kriging

    Engineering Geology, Vol. 99, Núm. 1-2, pp. 23-30

2006

  1. A fuzzy expert system application to the evaluation of ceramic- and paper-quality kaolin

    Applied Clay Science, Vol. 33, Núm. 3-4, pp. 287-297

  2. Assessing the environmental impact of slate quarrying using Bayesian networks and GIS

    Proceedings of the 5th International Conference on Engineering Computational Technology

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

    RECENT PROGRESS IN COMPUTATIONAL SCIENCES AND ENGINEERING, VOLS 7A AND 7B

  4. Forecasting the direction of stock return movements using Bayesian networks

    RECENT PROGRESS IN COMPUTATIONAL SCIENCES AND ENGINEERING, VOLS 7A AND 7B