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Pablo Escandell-Montero
Pablo Escandell-Montero
Intelligent data analysis laboratory (IDAL), Universidad de Valencia
Adresse e-mail validée de uv.es - Page d'accueil
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Regularized extreme learning machine for regression problems
JM Martínez-Martínez, P Escandell-Montero, E Soria-Olivas, ...
Neurocomputing 74 (17), 3716-3721, 2011
2082011
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
892014
Visible–NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit
D Lorente, P Escandell-Montero, S Cubero, J Gómez-Sanchís, J Blasco
Journal of Food Engineering 163, 17-24, 2015
882015
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, F Mari, A Stopper, E Gatti, P Escandell-Montero, ...
Computers in biology and medicine 61, 56-61, 2015
782015
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
682013
A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning
D Lorente, F Martínez-Martínez, MJ Rupérez, MA Lago, M Martínez-Sober, ...
Expert Systems with Applications 71, 342-357, 2017
562017
Supervised quantum learning without measurements
U Alvarez-Rodriguez, L Lamata, P Escandell-Montero, ...
Scientific reports 7 (1), 13645, 2017
542017
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques
JM Martínez-Martínez, P Escandell-Montero, C Barbieri, E Soria-Olivas, ...
Computer methods and programs in biomedicine 117 (2), 208-217, 2014
462014
Least-squares temporal difference learning based on an extreme learning machine
P Escandell-Montero, JM Martínez-Martínez, JD Martín-Guerrero, ...
Neurocomputing 141, 37-45, 2014
182014
Least-Squares Temporal Difference Learning based on Extreme Learning Machine
P Escandell-Montero, JM Martınez-Martınez, JD Martın-Guerrero, ...
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013
182013
Machine Learning Techniques for Short-Term Electric Power Demand Prediction
F Mateo, JJ Carrasco, M Millán-Giraldo, A Sellami, P Escandell-Montero, ...
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013
152013
Visual data mining with self-organising maps for ventricular fibrillation analysis
A Rosado-Munoz, JM Martínez-Martínez, P Escandell-Montero, ...
Computer methods and programs in biomedicine 111 (2), 269-279, 2013
132013
Online fitted policy iteration based on extreme learning machines
P Escandell-Montero, D Lorente, JM Martínez-Martínez, E Soria-Olivas, ...
Knowledge-Based Systems 100, 200-211, 2016
112016
A new visualization tool for data mining techniques
JM Martínez-Martínez, P Escandell-Montero, E Soria-Olivas, ...
Progress in Artificial Intelligence 5, 137-154, 2016
112016
Quantum machine learning without measurements
U Alvarez-Rodriguez, L Lamata, P Escandell-Montero, ...
arXiv preprint arXiv:1612.05535, 2016
102016
Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors
JM García-Gómez, J Gómez-Sanchis, P Escandell-Montero, ...
Computers in Biology and Medicine 43 (11), 1863-1869, 2013
102013
ELM regularized method for classification problems
JJ Carrasco, M Millán-Giraldo, J Caravaca, P Escandell-Montero, ...
International Journal on Artificial Intelligence Tools 25 (01), 1550026, 2016
72016
Use of SOMs for footwear comfort evaluation
JM Martínez-Martínez, JD Martín-Guerrero, E Soria-Olivas, JA Bernabeu, ...
Neural Computing and Applications 28, 1763-1773, 2017
62017
Temperature Forecast in Buildings Using Machine Learning Techniques
F Mateo, JJ Carrasco, M Millán-Giraldo, A Sellami, P Escandell-Montero, ...
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013
62013
Regularized Committee of Extreme Learning Machine for Regression Problems.
P Escandell-Montero, JM Martínez-Martínez, E Soria-Olivas, ...
ESANN, 2012
62012
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