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Machine learning techniques applied to the construction of a new geomechanical quality index., , , and . Int. J. Comput. Math., 88 (9): 1830-1838 (2011)Classifying slate tile quality using automated learning techniques., , , and . Math. Comput. Model., 57 (7-8): 1716-1721 (2013)Explaining and predicting workplace accidents using data-mining techniques., , , , , and . Reliab. Eng. Syst. Saf., 96 (7): 739-747 (2011)Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach., , , , and . Appl. Math. Comput., (2014)Application of a Hybrid 3D-2D Laser Scanning System to the Characterization of Slate Slabs., , , , and . Sensors, 10 (6): 5949-5961 (2010)Functional classification of ornamental stone using machine learning techniques., , , , and . J. Comput. Appl. Math., 234 (4): 1338-1345 (2010)Functional experiment design for the analysis of colour changes in granite using new L*a*b* functional colour coordinates., , , and . J. Comput. Appl. Math., 235 (16): 4701-4716 (2011)Development of a Multi-Agent System for Cooperative Work with Network Negotiation Capabilities., , , , and . IATA, volume 1437 of Lecture Notes in Computer Science, page 204-219. Springer, (1998)Functional Pattern Recognition of 3D Laser Scanned Images of Wood-Pulp Chips., , , and . IbPRIA (1), volume 4477 of Lecture Notes in Computer Science, page 298-305. Springer, (2007)Generalization of the Lee Method for the Analysis of the Signal Variability., , , , , , , and . IEEE Trans. Vehicular Technology, 58 (2): 506-516 (2009)