J. Taboada

发表

Neural networks applied to discriminate botanical origin of honeys.

O. Anjos, C. Iglesias, F. Peres, 2015, Food chemistry.

Forecasting Electricity Prices in an Optimization Hydrothermal Problem

P. M. Suárez, J. Taboada, L. Bayón, 2008 .

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 .

Stability of granite drystone masonry retaining walls: II. Relevant parameters and analytical and numerical studies of real walls

J. Taboada, M. Veiga, L. Alejano, 2012 .

Creating a quality map of a slate deposit using support vector machines

Celestino Ordóñez, J. M. Matías, J. Taboada, 2007 .

A Bayesian assessment of occupational health surveillance in workers exposed to silica in the energy and construction industry

J. Taboada, A. Abad, S. Gerassis, 2018, Environmental Science and Pollution Research.

Estimating Quartz Reserves Using Compositional Kriging

C. Iglesias, J. Taboada, Á. Saavedra, 2013 .

Developing a new Bayesian Risk Index for risk evaluation of soil contamination.

C Sierra, J. Taboada, J. Gallego, 2017, The Science of the total environment.

Comparison of Kriging and Neural Networks With Application to the Exploitation of a Slate Mine

W. González-Manteiga, J. M. Matías, A. Vaamonde, 2004 .

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 and detection of functional outliers in water quality parameters from different automated monitoring stations in the Nalón River Basin (Northern Spain)

P. J. García Nieto, J. Taboada, J. A. Alonso Fernández, 2014, Environmental Science and Pollution Research.

Detection of outliers in water quality monitoring samples using functional data analysis in San Esteban estuary (Northern Spain).

P. J. García Nieto, J. Taboada, J. A. Alonso Fernández, 2012, The Science of the total environment.

Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas

J. Taboada, J. Gallego, S. Gerassis, 2019, Mathematical Geosciences.

Hydrogeological vulnerability assessment in urban systems, Spain

J. Taboada, R. Martínez-Alegría, M. Albuquerque, 2015 .

Study of Water Quality in a Spanish River Based on Statistical Process Control and Functional Data Analysis

C. Iglesias, J. Taboada, J. Sancho, 2016, Mathematical Geosciences.

Quality index for ornamental slate deposits

Ángeles Saavedra, Javier Taboada, A. Vaamonde, 1998 .

International workshop "Uranium, Environment and Public Health", UrEnv 2013 Radon in Galicia

C. Iglesias, J. Taboada, 2014 .

The Impact of Renewable Energy for Occupational Health in the Smart Grid Era

J. Taboada, A. Abad, S. Gerassis, 2018, Journal of Clean Energy Technologies.

Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain

P. J. García Nieto, C. Iglesias, J. Taboada, 2013, Water Resources Management.

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

O. Anjos, C. Iglesias, J. Taboada, 2015, European Journal of Wood and Wood Products.

Use of Ferrocyanides on Granite Desalination by Immersion and Poultice-Based Methods

J. Taboada, T. Rivas, J. Feijoo, 2017 .

A simple polygon-polygon basis method to compare categorical raster maps

J. Taboada, J. Matías, T. Rivas, 2009 .

Roofing tiles or slates? A network analysis of factors influencing architect choice

S. Gerassis, Javier Taboada, Ángeles Saavedra, 2019, MATEC Web of Conferences.

Classifying slate tile quality using automated learning techniques

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

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

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

Shape functional optimization with restrictions boosted with machine learning techniques

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

Risk Communications: Around the World Neural Network Models for Assessing Road Suitability for Dangerous Goods Transport

Ángeles Saavedra, Javier Taboada, Celestino Ordóñez, 2006 .

Learning Machines Applied to Potential Forest Distribution

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

Support vector machines and gradient boosting for graphical estimation of a slate deposit

W. González-Manteiga, J. M. Matías, A. Vaamonde, 2004 .

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..

Fuzzy expert system for economic zonation of an ornamental slate deposit

Ángeles Saavedra, Javier Taboada, Celestino Ordóñez, 2006 .

A comparative analysis of health surveillance strategies for administrative video display terminal employees

J. Taboada, A. Abad, S. Gerassis, 2019, Biomedical engineering online.

Automated vision system for quality inspection of slate slabs

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

Analysis of tailing pond contamination in Galicia using generalized linear spatial models

J. Taboada, L. Alejano, F. Bastante, 2015 .

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

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

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..

Functional classification of ornamental stone using machine learning techniques

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

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..

Explaining and predicting workplace accidents using data-mining techniques

Javier Taboada, José M. Matías, María Paz, 2011, Reliab. Eng. Syst. Saf..

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

Helena Pereira, Javier Taboada, Ofélia Anjos, 2015 .

Future habitat suitability for species under climate change – Lessons learned from the strawberry tree case study

J. Taboada, S. Gerassis, M. Ribeiro, 2021, Forest Ecology and Management.

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.

Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach

J. Taboada, A. Abad, S. Gerassis, 2020 .

Differentiating between fatal and non-fatal mining accidents using artificial intelligence techniques

F. G. Bastante, Ángeles Saavedra, Saki Gerassis, 2019, International Journal of Mining, Reclamation and Environment.

Granite desalination using electromigration. Influence of type of granite and saline contaminant

J. Taboada, M. Mosquera, X. Nóvoa, 2013 .

EFFECTS OF FLOTATION VARIABLES ON FELDSPATHIC SAND CONCENTRATION EFECTOS DE LAS VARIABLES DE FLOTACIÓN EN LA CONCENTRACIÓN DE ARENAS FELDESPÁTICAS

J. Taboada, Fernando García, A. Argüelles, 2014 .

COMPOSITIONAL KRIGING APPLIED TO THE RESERVE ESTIMATION OF A GRANITE DEPOSIT

J. Taboada, J. Armesto, C. Ordóñez, 2010 .

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 .

Generalized Linear Spatial Models to Predict Slate Exploitability

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

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

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

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..

Stability of granite drystone masonry retaining walls: I. Analytical design

J. Taboada, M. Veiga, L. Alejano, 2012 .