Robust support vector method for hyperspectral data classification and knowledge discovery G Camps-Valls, L Gómez-Chova, J Calpe-Maravilla, JD Martín-Guerrero, ... IEEE Transactions on Geoscience and Remote sensing 42 (7), 1530-1542, 2004 | 368 | 2004 |
Regularized extreme learning machine for regression problems JM Martínez-Martínez, P Escandell-Montero, E Soria-Olivas, ... Neurocomputing 74 (17), 3716-3721, 2011 | 222 | 2011 |
BELM: Bayesian extreme learning machine E Soria-Olivas, J Gomez-Sanchis, JD Martin, J Vila-Frances, M Martinez, ... IEEE transactions on neural networks 22 (3), 505-509, 2011 | 190 | 2011 |
Multi-dimensional function approximation and regression estimation F Pérez-Cruz, G Camps-Valls, E Soria-Olivas, JJ Pérez-Ruixo, ... International conference on artificial neural networks, 757-762, 2002 | 158 | 2002 |
Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI A Larroza, D Moratal, A Paredes‐Sánchez, E Soria‐Olivas, ML Chust, ... Journal of magnetic resonance imaging 42 (5), 1362-1368, 2015 | 121 | 2015 |
Support vector machines for nonlinear kernel ARMA system identification M Martínez-Ramón, JL Rojo-Alvarez, G Camps-Valls, J Muñoz-Marí, ... IEEE Transactions on Neural Networks 17 (6), 1617-1622, 2006 | 117 | 2006 |
Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques J Gómez-Sanchis, JD Martín-Guerrero, E Soria-Olivas, M Martínez-Sober, ... Expert Systems with Applications 39 (1), 780-785, 2012 | 116 | 2012 |
Optimization of anemia treatment in hemodialysis patients via reinforcement learning P Escandell-Montero, M Chermisi, JM Martinez-Martinez, ... Artificial intelligence in medicine 62 (1), 47-60, 2014 | 102 | 2014 |
Machine learning methods to forecast temperature in buildings F Mateo, JJ Carrasco, A Sellami, M Millán-Giraldo, M Domínguez, ... Expert Systems with Applications 40 (4), 1061-1068, 2013 | 98 | 2013 |
Support vector machines for crop classification using hyperspectral data G Camps-Valls, L Gomez-Chova, J Calpe-Maravilla, E Soria-Olivas, ... Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA …, 2003 | 98 | 2003 |
Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration J Gomez-Sanchis, JD Martín-Guerrero, E Soria-Olivas, J Vila-Frances, ... Atmospheric Environment 40 (32), 6173-6180, 2006 | 97 | 2006 |
Foetal ECG recovery using dynamic neural networks G Camps-Valls, M Martı́nez-Sober, E Soria-Olivas, ... Artificial Intelligence in Medicine 31 (3), 197-209, 2004 | 89 | 2004 |
Redes neuronales artificiales A Serrano, E Soria, J Martín Escuela Técnica Superior de Ingeniería, Curso de Doctorado, 15-19, 2009 | 87 | 2009 |
FPGA implementation of an adaptive filter robust to impulsive noise: two approaches A Rosado-Muñoz, M Bataller-Mompeán, E Soria-Olivas, C Scarante, ... IEEE Transactions on Industrial Electronics 58 (3), 860-870, 2009 | 83 | 2009 |
Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks EB Ballester, GC i Valls, JL Carrasco-Rodriguez, ES Olivas, ... Ecological Modelling 156 (1), 27-41, 2002 | 82 | 2002 |
Support vector machines framework for linear signal processing JL Rojo-Álvarez, G Camps-Valls, M Martínez-Ramón, E Soria-Olivas, ... Signal Processing 85 (12), 2316-2326, 2005 | 81 | 2005 |
Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling O Pastor-Bárcenas, E Soria-Olivas, JD Martín-Guerrero, G Camps-Valls, ... Ecological Modelling 182 (2), 149-158, 2005 | 78 | 2005 |
Application of adaptive signal processing for determining the limits of P and T waves in an ECG E Soria-Olivas, M Martinez-Sober, J Calpe-Maravilla, ... IEEE transactions on biomedical engineering 45 (8), 1077-1080, 1998 | 77 | 1998 |
Comparison of ROC feature selection method for the detection of decay in citrus fruit using hyperspectral images D Lorente, J Blasco, AJ Serrano, E Soria-Olivas, N Aleixos, ... Food and Bioprocess Technology 6, 3613-3619, 2013 | 76 | 2013 |
Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear … J Gómez-Sanchís, J Blasco, E Soria-Olivas, D Lorente, ... Postharvest Biology and Technology 82, 76-86, 2013 | 72 | 2013 |