| Regularized extreme learning machine for regression problems JM Martínez-Martínez, P Escandell-Montero, E Soria-Olivas, ... Neurocomputing 74 (17), 3716-3721, 2011 | 223 | 2011 |
| 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 | 103 | 2014 |
| 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 | 99 | 2015 |
| 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 | 93 | 2015 |
| 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 | 74 | 2013 |
| 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 | 68 | 2017 |
| Supervised quantum learning without measurements U Alvarez-Rodriguez, L Lamata, P Escandell-Montero, ... Scientific reports 7 (1), 13645, 2017 | 59 | 2017 |
| 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 | 55 | 2014 |
| 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 | 18 | 2013 |
| 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 | 15 | 2013 |
| 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 | 14 | 2013 |
| 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 | 12 | 2016 |
| 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 | 11 | 2016 |
| Quantum machine learning without measurements U Alvarez-Rodriguez, L Lamata, P Escandell-Montero, ... arXiv preprint arXiv:1612.05535, 2016 | 10 | 2016 |
| 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 | 10 | 2013 |
| 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 | 7 | 2017 |
| 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 | 7 | 2016 |
| Regularized Committee of Extreme Learning Machine for Regression Problems. P Escandell-Montero, JM Martínez-Martínez, E Soria-Olivas, ... ESANN, 2012 | 7 | 2012 |
| 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 | 6 | 2013 |
| Sectors on sectors (sons): A new hierarchical clustering visualization tool JM Martínez-Martínez, P Escandell-Montero, E Soria-Olivas, ... 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2011 | 6 | 2011 |
Delia LorenteInstituto valenciano de investigaciones agrarias (IVIA)
