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Javier Martínez
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Machine learning techniques applied to cybersecurity
J Martínez Torres, C Iglesias Comesaña, PJ García-Nieto
International Journal of Machine Learning and Cybernetics 10 (10), 2823-2836, 2019
1692019
Neural Networks Applied to Discriminate Botanical Origin of Honeys
O Anjos, C Iglesias, F Peres, J Martínez, A García, J Taboada
FOOD CHEMISTRY 175, 128-136, 2015
982015
Detection of outliers in gas emissions from urban areas using functional data analysis
JM Torres, PJG Nieto, L Alejano, AN Reyes
Journal of hazardous materials 186 (1), 144-149, 2011
792011
Machine Learning Techniques as a Helpful Tool Toward Determination of Plaque Vulnerability
M Cilla, J Martinez, E Pena, MA Martinez
Biomedical Engineering, IEEE Transactions on 59 (4), 1155-1161, 2012
782012
Automated vision system for quality inspection of slate slabs
C Iglesias, J Martínez, J Taboada
Computers in Industry 99, 119-129, 2018
712018
Turbidity prediction in a river basin by using artificial neural networks: a case study in northern Spain
C Iglesias, J Martínez Torres, PJ García Nieto, JR Alonso Fernández, ...
Water resources management 28, 319-331, 2014
662014
Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model
FJ de Cos Juez, PJ García Nieto, J Martínez Torres, J Taboada Castro
Mathematical and Computer Modelling 52 (7), 1177-1184, 2010
622010
Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant
M Cilla, E Borgiani, J Martínez, GN Duda, S Checa
Plos one 12 (9), e0183755, 2017
612017
Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain)
JIP Di Blasi, JM Torres, PJG Nieto, JRA Fernández, CD Muñiz, J Taboada
Ecological engineering 60, 60-66, 2013
582013
Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain)
JIP Di Blasi, JM Torres, PJG Nieto, JRA Fernández, CD Muñiz, J Taboada
Ecological engineering 60, 60-66, 2013
582013
Support vector machines and neural networks used to evaluate paper manufactured using< i> Eucalyptus globulus</i>
PJ García Nieto, J Martínez Torres, M Araújo Fernández, ...
Applied Mathematical Modelling, 2012
532012
Detection of outliers in water quality monitoring samples using functional data analysis in San Esteban estuary (Northern Spain)
CD Muñiz, PJG Nieto, JRA Fernández, JM Torres, J Taboada
Science of the Total Environment 439, 54-61, 2012
512012
Air quality parameters outliers detection using functional data analysis in the Langreo urban area (Northern Spain)
J Martínez, Á Saavedra, PJ García-Nieto, JI Piñeiro, C Iglesias, J Taboada, ...
Applied Mathematics and Computation 241, 1-10, 2014
502014
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using< i> Eucalyptus globulus</i>
PJ García Nieto, J Martínez Torres, FJ de Cos Juez, F Sánchez Lasheras
Applied Mathematics and Computation, 2012
482012
Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms
C Ordóñez Galán, JR Rodríguez-Pérez, J Martínez Torres, ...
Mathematical and Computer Modelling 54 (7), 1829-1834, 2011
482011
The application of artificial intelligence in project management research: A review
J Gil, J Martinez Torres, R González-Crespo
International Journal of Interactive Multimedia and Artificial Intelligence …, 2021
452021
New methodology to determine air quality in urban areas based on runs rules for functional data
J Sancho, J Martínez, JJ Pastor, J Taboada, JI Piñeiro, PJ García-Nieto
Atmospheric environment 83, 185-192, 2014
382014
Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology
N Garijo, J Martínez, JM García-Aznar, MA Pérez
Computer Methods in Applied Mechanics and Engineering 268, 437-450, 2014
372014
A functional data analysis approach for the detection of air pollution episodes and outliers: A case study in Dublin, Ireland
J Martínez Torres, J Pastor Perez, J Sancho Val, A McNabola, ...
Mathematics 8 (2), 225, 2020
36*2020
Prediction of mechanical strength of cork under compression using machine learning techniques
Á García, O Anjos, C Iglesias, H Pereira, J Martínez, J Taboada
Materials & Design 82, 304-311, 2015
362015
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Artículos 1–20