Javier Taboada

发表

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

Teresa Rivas, María Araújo, Eduardo Giráldez, 2011, Math. Comput. Model..

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

Ángeles Saavedra, Alberto Abad, Javier Taboada, 2018, IntelliSys.

Design and planning for slate mining using optimisation algorithms

F. G. Bastante, Celestino Ordóñez, Javier Taboada, 2004 .

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

José M. Matías, Javier Taboada, Marcos López, 2007, IbPRIA.

Evaluation of the resources of a slate deposit using indicator kriging

F. G. Bastante, Celestino Ordóñez, Javier Taboada, 2005 .

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

José M. Matías, C. Ordóñez Galán, Teresa Rivas, 2011, J. Comput. Appl. Math..

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

José M. Matías, C. Ordóñez Galán, Teresa Rivas, 2009, Int. J. Comput. Math..

Learning Machines Applied to Potential Forest Distribution

Celestino Ordóñez, Javier Taboada, Fernando Bastante, 2005, Environmental management.

Comparison between Kriging, MLP and RBF in a slate mine

Wenceslao González-Manteiga, José M. Matías, Javier Taboada, 2004 .

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

P. J. García Nieto, Javier Martínez, J. Pastor, 2014, Appl. Math. Comput..

Shape functional optimization with restrictions boosted with machine learning techniques

José M. Matías, Javier Martínez, J. A. Vilán, 2010, J. Comput. Appl. Math..

Generalized Linear Spatial Models to Predict Slate Exploitability

María Araújo, Eduardo Giráldez, Javier Taboada, 2013, J. Appl. Math..

Functional classification of ornamental stone using machine learning techniques

José M. Matías, Javier Martínez, J. A. Vilán, 2010, J. Comput. Appl. Math..

Classifying slate tile quality using automated learning techniques

José M. Matías, Javier Martínez, Javier Taboada, 2013, Math. Comput. Model..

Automated vision system for quality inspection of slate slabs

Javier Martínez, Javier Taboada, Carla Iglesias, 2018, Comput. Ind..

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

José M. Matías, Javier Martínez, Javier Taboada, 2010, Sensors.

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

Eduardo Giráldez, Javier Taboada, Julio F. García, 2019, Reliab. Eng. Syst. Saf..

Decision Making Process to Evaluate the Optimum Power Unit Maintenance in Hydraulic Excavators

S. Gerassis, J. E. Martín, Ángeles Saavedra, 2018 .

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

José M. Matías, C. Ordóñez Galán, Teresa Rivas, 2009, IJCCI.

AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling

Ángeles Saavedra, Javier Taboada, Saki Gerassis, 2021, Applied Sciences.

Evaluation of the reserve of a granite deposit by fuzzy kriging

Ángeles Saavedra, F. G. Bastante, Celestino Ordóñez, 2008 .

Assessing the Environmental Impact of Slate Quarrying Using Bayesian Networks and GIS

José M. Matías, Celestino Ordóñez, Teresa Rivas, 2008 .

Geostatistical study of the feldspar content and quality of a granite deposit

Ángeles Saavedra, Celestino Ordóñez, Javier Taboada, 2002 .

Crystallization modifiers applied in granite desalination: The role of the stone pore structure

Teresa Rivas, Maria J. Mosquera, Javier Taboada, 2010 .

Multi-approach back-analysis of a roof bed collapse in a mining room excavated in stratified rock

Leandro R. Alejano, Javier Taboada, J. Taboada, 2008 .

Geostatistical Characterization of Natural Stones Quarries

Javier Taboada, Henrique Garcia Pereira, J. Ribeiro, 1997 .

Prediction of mechanical strength of cork under compression using machine learning techniques

Helena Pereira, Javier Taboada, Ofélia Anjos, 2015 .

Managing distribution changes in time series prediction

José M. Matías, Wenceslao González-Manteiga, Celestino Ordóñez, 2006 .

A Conceptual Model for Analyzing the Risks Involved in the Transportation of Hazardous Goods: Implementation in a Geographic Information System

R. Martínez-Alegría, Celestino Ordóñez, Javier Taboada, 2003 .

Prediction of tension properties of cork from its physical properties using neural networks

Helena Pereira, Javier Taboada, Carla Iglesias, 2015, European Journal of Wood and Wood Products.

Analysis of dust pollution in slate and granite transformation plants

Ángeles Saavedra, Leandro R. Alejano, Celestino Ordóñez, 2007 .

FDM predictive methodology for subsidence due to flat and inclined coal seam mining

Leandro R. Alejano, Javier Taboada, P Ramı́rez-Oyanguren, 1999 .

Evaluation of the quality of a granite quarry

Ángeles Saavedra, Javier Taboada, A. Vaamonde, 1999 .