| A Bayesian network analysis of workplace accidents caused by falls from a height JE Martin, T Rivas, JM Matías, J Taboada, A Argüelles Safety Science 47 (2), 206-214, 2009 | 191 | 2009 |
| Explaining and predicting workplace accidents using data-mining techniques T Rivas, M Paz, JE Martín, JM Matías, JF García, J Taboada Reliability Engineering & System Safety 96 (7), 739-747, 2011 | 151 | 2011 |
| A machine learning methodology for the analysis of workplace accidents JM Matías, T Rivas, JE Martín, J Taboada International Journal of Computer Mathematics 85 (3-4), 559-578, 2008 | 80 | 2008 |
| Classification and regression trees (CARTs) for modelling the sorption and retention of heavy metals by soil FA Vega, JM Matías, ML Andrade, MJ Reigosa, EF Covelo Journal of Hazardous Materials 167 (1-3), 615-624, 2009 | 77 | 2009 |
| Comparison of indicator kriging, conditional indicator simulation and multiple-point statistics used to model slate deposits FG Bastante, C Ordóñez, J Taboada, JM Matías Engineering Geology 98 (1-2), 50-59, 2008 | 76 | 2008 |
| Comparison between ANNs and linear MCP algorithms in the long-term estimation of the cost per kW h produced by a wind turbine at a candidate site: A case study in the Canary … S Velázquez, JA Carta, JM Matías Applied energy 88 (11), 3869-3881, 2011 | 69 | 2011 |
| Use of Bayesian networks classifiers for long-term mean wind turbine energy output estimation at a potential wind energy conversion site JA Carta, S Velázquez, JM Matías Energy conversion and management 52 (2), 1137-1149, 2011 | 65 | 2011 |
| IPez: an expert system for the taxonomic identification of fishes based on machine learning techniques C Guisande, A Manjarrés-Hernández, P Pelayo-Villamil, ... Fisheries Research 102 (3), 240-247, 2010 | 63 | 2010 |
| Comparison of kriging and neural networks with application to the exploitation of a slate mine JM Matías, A Vaamonde, J Taboada, W González-Manteiga Mathematical geology 36, 463-486, 2004 | 61 | 2004 |
| Forecasting performance of nonlinear models for intraday stock returns JM Matías, JC Reboredo Journal of Forecasting 31 (2), 172-188, 2012 | 59 | 2012 |
| Creating a quality map of a slate deposit using support vector machines J Taboada, JM Matías, C Ordóñez, PJ García Journal of computational and applied mathematics 204 (1), 84-94, 2007 | 58 | 2007 |
| Soil Cd, Cr, Cu, Ni, Pb and Zn sorption and retention models using SVM: variable selection and competitive model JJG Costa, MJ Reigosa, JM Matías, EF Covelo Science of the total environment 593, 508-522, 2017 | 56 | 2017 |
| Nonlinearity in forecasting of high-frequency stock returns JC Reboredo, JM Matías, R Garcia-Rubio Computational Economics 40, 245-264, 2012 | 56 | 2012 |
| On the dynamics of crystalline motions Y Giga, ME Gurtin, J Matias Japan journal of industrial and applied mathematics 15, 7-50, 1998 | 53 | 1998 |
| Influence of the input layer signals of ANNs on wind power estimation for a target site: A case study S Velázquez, JA Carta, JM Matías Renewable and Sustainable Energy Reviews 15 (3), 1556-1566, 2011 | 52 | 2011 |
| A tree regression analysis of factors determining the sorption and retention of heavy metals by soil EF Covelo, JM Matías, FA Vega, MJ Reigosa, ML Andrade Geoderma 147 (1-2), 75-85, 2008 | 50 | 2008 |
| Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study JA Carta, P Cabrera, JM Matías, F Castellano Applied energy 158, 490-507, 2015 | 46 | 2015 |
| Reforestation planning using Bayesian networks CO Galán, JM Matías, T Rivas, FG Bastante Environmental Modelling & Software 24 (11), 1285-1292, 2009 | 46 | 2009 |
| Performance assessment of five MCP models proposed for the estimation of long-term wind turbine power outputs at a target site using three machine learning techniques S Díaz, JA Carta, JM Matías Applied Energy 209, 455-477, 2018 | 42 | 2018 |
| Support vector machines and gradient boosting for graphical estimation of a slate deposit JM Matías, A Vaamonde, J Taboada, W Gonzalez-Manteiga Stochastic Environmental Research and Risk Assessment 18, 309-323, 2004 | 42 | 2004 |
