Pablo Escandell-Montero

Regularized extreme learning machine for regression problems

José M. Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria‐Olivas et al. · Neurocomputing · 2011 · 208 citations

Machine Learning, Extreme Learning Machine, Predictive Analytics +2

Visible–NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit

D. Lorente, Pablo Escandell-Montero, Sergio Cubero et al. · Journal of Food Engineering · 2015 · 93 citations · Full text

Visible–nir Reflectance Spectroscopy, Spectroscopic Method, Citrus Fruit +11

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis

C. Barbieri, Flavio Mari, Andrea Stopper et al. · Computers in Biology and Medicine · 2015 · 81 citations

Hemodialysis, Computational Medicine, Machine Learning +12

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

Juan Gómez‐Sanchís, J. Blasco, Emilio Soria‐Olivas et al. · Postharvest Biology and Technology · 2013 · 73 citations · Full text

Relevant Bands, Hyperspectral Lctf-based System, Non-linear Classifiers +2

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

D. Lorente, Francisco Martínez‐Martínez, María José Rupérez et al. · Expert Systems with Applications · 2016 · 69 citations · Full text

Artificial Intelligence, Kinesiology, Machine Learning +14