José M. Matías

According to our database, José M. Matías authored at least 24 papers between 1998 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2014

Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach.

Javier Martínez, Carla Iglesias, José M. Matías, José Taboada, María Araújo

Appl. Math. Comput., 2014

2013

Classifying slate tile quality using automated learning techniques.

Javier Martínez, M. F. López, José M. Matías, Javier Taboada

Math. Comput. Model., 2013

2011

Explaining and predicting workplace accidents using data-mining techniques.

Teresa Rivas, María Paz, José Enrique Martín Suárez, José M. Matías, Julio F. García, Javier Taboada

Reliab. Eng. Syst. Saf., 2011

Functional experiment design for the analysis of colour changes in granite using new L*a*b* functional colour coordinates.

Teresa Rivas, José M. Matías, Javier Taboada, C. Ordóñez Galán

J. Comput. Appl. Math., 2011

Machine learning techniques applied to the construction of a new geomechanical quality index.

María Araújo, José M. Matías, Teresa Rivas, Javier Taboada

Int. J. Comput. Math., 2011

The Meta-structure of Knowledge and the Explanatory Gap.

José M. Matías

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Application of a Hybrid 3D-2D Laser Scanning System to the Characterization of Slate Slabs.

Marcos López, Javier Martínez, José M. Matías, José A. Vilán, Javier Taboada

Sensors, 2010

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

José M. Matías, José Taboada, C. Ordóñez Galán, Wenceslao González-Manteiga

Math. Comput. Model., 2010

Boosting GARCH and neural networks for the prediction of heteroskedastic time series.

José M. Matías, Manuel Febrero-Bande, Wenceslao González-Manteiga, Juan Carlos Reboredo

Math. Comput. Model., 2010

Functional statistical techniques applied to vine leaf water content determination.

C. Ordóñez Galán, Javier Martínez, José M. Matías, A. N. Reyes, José Ramón Rodríguez-Pérez

Math. Comput. Model., 2010

Shape functional optimization with restrictions boosted with machine learning techniques.

M. F. López, Javier Martínez, José M. Matías, Javier Taboada, José A. Vilán

J. Comput. Appl. Math., 2010

Functional classification of ornamental stone using machine learning techniques.

M. F. López, Javier Martínez, José M. Matías, Javier Taboada, José A. Vilán

J. Comput. Appl. Math., 2010

2009

Influence of forecasting electricity prices in the optimization of complex hydrothermal systems.

L. Bayón, P. M. Suárez, José M. Matías, José Taboada

J. Comput. Appl. Math., 2009

Analysis and study of an automobile rear seat by FEM.

P. J. García Nieto, J. A. Vilán Vilán, J. J. del Coz Díaz, José M. Matías

Int. J. Comput. Math., 2009

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

José M. Matías, C. Ordóñez Galán, Javier Taboada, Teresa Rivas

Int. J. Comput. Math., 2009

Reforestation planning using Bayesian networks.

C. Ordóñez Galán, José M. Matías, Teresa Rivas, F. G. Bastante

Environ. Model. Softw., 2009

Analysis of Variance with Functional Data to Detect Color Changes in Granite.

Teresa Rivas, Javier Taboada, C. Ordóñez Galán, José M. Matías

Proceedings of the IJCCI 2009, 2009

2008

A machine learning methodology for the analysis of workplace accidents.

José M. Matías, Teresa Rivas, José Enrique Martín Suárez, José Taboada

Int. J. Comput. Math., 2008

2007

Functional Pattern Recognition of 3D Laser Scanned Images of Wood-Pulp Chips.

Marcos López, José M. Matías, José A. Vilán, Javier Taboada

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2005

Variography for Model Selection in Local Polynomial Regression with Spatial Data.

José M. Matías, Wenceslao González-Manteiga, Mario Francisco-Fernández, C. Ordóñez Galán

J. Math. Model. Algorithms, 2005

Multi-output Nonparametric Regression.

José M. Matías

Proceedings of the Progress in Artificial Intelligence, 2005

Partially Parametric SVM.

José M. Matías

Proceedings of the Progress in Artificial Intelligence, 2005

2003

Regularized Kriging: The Support Vectors Method Applied to Kriging.

José M. Matías, Wenceslao González-Manteiga

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

1998

Development of a Multi-Agent System for Cooperative Work with Network Negotiation Capabilities.

Francisco J. Garijo, Juan Tous, José M. Matías, Stephen Corley, Marius Tesselaar

Proceedings of the Intelligent Agents for Telecommunication Applications, 1998