José D. Martin-Guerrero
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Making machine learning models interpretable.
A Vellido, JD Martín-Guerrero, PJG Lisboa
ESANN 12, 163-172, 2012
Handbook of research on machine learning applications and trends: Algorithms, methods and techniques-2 volumes
ES Olivas, JDM Guerrero, MM Sober, JRM Benedito, AJS Lopez
Information Science Reference-Imprint of: IGI Publishing, 2009
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
Regularized extreme learning machine for regression problems
JM MartíNez-MartíNez, P Escandell-Montero, E Soria-Olivas, ...
Neurocomputing 74 (17), 3716-3721, 2011
Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study
C Fernández-de-Las-Peñas, JD Martín-Guerrero, ÓJ Pellicer-Valero, ...
Journal of Clinical Medicine 11 (2), 413, 2022
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
F Martínez-Martínez, MJ Rupérez-Moreno, M Martínez-Sober, ...
Computers in biology and medicine 90, 116-124, 2017
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
Single trajectory characterization via machine learning
G Muñoz-Gil, MA Garcia-March, C Manzo, JD Martín-Guerrero, ...
New Journal of Physics 22 (1), 013010, 2020
Artificial neural networks for predicting dorsal pressures on the foot surface while walking
MJ Rupérez, JD Martín-Guerrero, C Monserrat, M Alcañiz
Expert Systems with Applications 39 (5), 5349-5357, 2012
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-Francés, ...
Atmospheric Environment 40 (32), 6173-6180, 2006
Support vector machines for crop classification using hyperspectral data
G Camps-Valls, L Gómez-Chova, J Calpe-Maravilla, E Soria-Olivas, ...
Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA …, 2003
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
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
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
Quantum autoencoders via quantum adders with genetic algorithms
L Lamata, U Alvarez-Rodriguez, JD Martín-Guerrero, M Sanz, E Solano
Quantum Science and Technology 4 (1), 014007, 2018
Toward pricing financial derivatives with an IBM quantum computer
A Martin, B Candelas, Á Rodríguez-Rozas, JD Martín-Guerrero, X Chen, ...
Physical Review Research 3 (1), 013167, 2021
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-Sanchis, J Blasco, E Soria-Olivas, D Lorente, ...
Postharvest Biology and Technology 82, 76-86, 2013
Fuzzy sigmoid kernel for support vector classifiers
G Camps-Valls, JD Martín-Guerrero, JL Rojo-Alvarez, E Soria-Olivas
Neurocomputing 62, 501-506, 2004
Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks
G Camps-Valls, B Porta-Oltra, E Soria-Olivas, JD Martín-Guerrero, ...
IEEE transactions on biomedical engineering 50 (4), 442-448, 2003
Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks
E Balaguer, A Palomares, E Soria, JD Martín-Guerrero
Expert Systems with Applications 34 (1), 665-672, 2008
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