Emilio Soria-Olivas

Overview

Best Publications

• Robust support vector method for hyperspectral data classification and knowledge discovery

  G. Camps-Valls;L. Gomez-Chova;J. Calpe-Maravilla;J.D. Martin-Guerrero

  378
  Citations

• Multi-dimensional function approximation and regression estimation

  Fernando Perez-Cruz;Gustavo Camps-Valls;Emilio Soria-Olivas;Juan José Perez-Ruixo

  272
  Citations

• Letters: Regularized extreme learning machine for regression problems

  José M. MartíNez-MartíNez;Pablo Escandell-Montero;Emilio Soria-Olivas;José D. MartíN-Guerrero

  246
  Citations

• BELM: Bayesian Extreme Learning Machine

  E Soria-Olivas;J Gomez-Sanchis;J D Martin;J Vila-Frances

  207
  Citations

• Support Vector Machines for Nonlinear Kernel ARMA System Identification

  M. Martinez-Ramon;J.L. Rojo-Alvarez;G. Camps-Valls;J. Munoz-Mari

  124
  Citations

• Optimization of anemia treatment in hemodialysis patients via reinforcement learning.

  Pablo Escandell-Montero;Milena Chermisi;José María Martínez-Martínez;Juan Gómez-Sanchís

  117
  Citations

• Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques

  Juan Gómez-Sanchis;José D. Martín-Guerrero;Emilio Soria-Olivas;Marcelino Martínez-Sober

  111
  Citations

• Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

  Andrés Larroza;David Moratal;Alexandra Paredes-Sánchez;Emilio Soria-Olivas

  111
  Citations

• Urban monitoring using multi-temporal SAR and multi-spectral data

  Luis Gomez-Chova;Diego Fernández-Prieto;Javier Calpe;Emilio Soria

  98
  Citations

• Support Vector Machines for Crop Classification Using Hyperspectral Data

  Gustavo Camps-Valls;Luis Gómez-Chova;Javier Calpe-Maravilla;Emilio Soria-Olivas

  95
  Citations

• Foetal ECG recovery using dynamic neural networks

  Gustavo Camps-Valls;Marcelino Martınez-Sober;Emilio Soria-Olivas;Rafael Magdalena-Benedito

  93
  Citations

• Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration

  Juan Gómez-Sanchis;José D. Martín-Guerrero;Emilio Soria-Olivas;Joan Vila-Francés

  93
  Citations

• Machine learning methods to forecast temperature in buildings

  Fernando Mateo;Juan José Carrasco;Abderrahim Sellami;MóNica MilláN-Giraldo

  91
  Citations

• 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 classifiers

  J. Gómez-Sanchis;J. Blasco;E. Soria-Olivas;D. Lorente

  88
  Citations

• Support vector machines framework for linear signal processing

  J. L. Rojo-Álvarez;G. Camps-Valls;M. Martínez-Ramón;E. Soria-Olivas

  88
  Citations

• FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches

  Alfredo Rosado-Muñoz;M Bataller-Mompeán;E Soria-Olivas;C Scarante

  87
  Citations

• Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

  O. Pastor-Bárcenas;E. Soria-Olivas;J.D. Martín-Guerrero;G. Camps-Valls

  87
  Citations

• 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;J.F. Guerrero-Martinez

  79
  Citations

• Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

  D. Lorente;J. Blasco;A. J. Serrano;E. Soria-Olivas

  74
  Citations

• Fuzzy sigmoid kernel for support vector classifiers

  G. Camps-Valls;J.D. Martín-Guerrero;J.L. Rojo-Álvarez;E. Soria-Olivas

  73
  Citations