Javier Taboada

According to our database, Javier Taboada authored at least 18 papers between 2007 and 2019.

Collaborative distances:

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

2019

Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering.

Saki Gerassis, M. Teresa D. Albuquerque, Julio F. García, Carlos Boente, Eduardo Giráldez, Javier Taboada, José Enrique Martín Suárez

Reliab. Eng. Syst. Saf., 2019

2018

Automated vision system for quality inspection of slate slabs.

Carla Iglesias, Javier Martínez, Javier Taboada

Comput. Ind., 2018

Women's Occupational Health: Improving Medical Protocols with Artificial Intelligence Solutions.

Saki Gerassis, Alberto Abad, Ángeles Saavedra, Julio F. García, Javier Taboada

Proceedings of the Intelligent Systems and Applications, 2018

2014

Air quality parameters outliers detection using functional data analysis in the Langreo urban area (Northern Spain).

Javier Martínez, Angeles Saavedra, P. J. García Nieto, J. I. Piñeiro, Carla Iglesias, Javier Taboada, Joaquín Sancho, J. Pastor

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

Generalized Linear Spatial Models to Predict Slate Exploitability.

Angeles Saavedra, Javier Taboada, María Araújo, Eduardo Giráldez

J. Appl. Math., 2013

SESGAL Software for Managing Earthquake Risk in Galicia.

Carla Iglesias, Eduardo Giráldez, Javier Taboada, Roberto Martínez-Alegría, Isabel Margarida Antunes

Proceedings of the ICSOFT 2013, 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

Use of machine learning techniques to analyse the risk associated with mine sludge deposits.

María Araújo, Teresa Rivas, Eduardo Giráldez, Javier Taboada

Math. Comput. Model., 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

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

Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model.

Francisco Javier de Cos Juez, P. J. García Nieto, J. Martínez Torres, Javier Taboada Castro

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

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

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

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