Javier M. Moguerza
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Support vector machines with applications
JM Moguerza, A Muñoz
Statistical Science 21 (3), 322-336, 2006
Estimation of high-density regions using one-class neighbor machines
A Munoz, JM Moguerza
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (3), 476-480, 2006
Monitoring nonlinear profiles using support vector machines
JM Moguerza, A Muñoz, S Psarakis
Iberoamerican congress on pattern recognition, 574-583, 2007
A multi-stage method for content classification and opinion mining on weblog comments
C Alfaro, J Cano-Montero, J Gómez, JM Moguerza, F Ortega
Annals of Operations Research 236 (1), 197-213, 2016
Methods for the combination of kernel matrices within a support vector framework
IM de Diego, A Munoz, JM Moguerza
Machine learning 78 (1), 137-174, 2010
Six sigma with R: statistical engineering for process improvement
EL Cano, JM Moguerza, A Redchuk
Springer Science & Business Media, 2012
An augmented Lagrangian interior-point method using directions of negative curvature
JM Moguerza, FJ Prieto
Mathematical Programming 95 (3), 573-616, 2003
Improving support vector classification via the combination of multiple sources of information
JM Moguerza, A Munoz, IM Diego
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2004
Combining kernel information for support vector classification
IM Diego, JM Moguerza, A Munoz
International Workshop on Multiple Classifier Systems, 102-111, 2004
A multi-stage stochastic optimization model for energy systems planning and risk management
EL Cano, JM Moguerza, A Alonso-Ayuso
Energy and Buildings 110, 49-56, 2016
A review of machine learning kernel methods in statistical process monitoring
A Apsemidis, S Psarakis, JM Moguerza
Computers & Industrial Engineering 142, 106376, 2020
A strategic optimization model for energy systems planning
EL Cano, M Groissböck, JM Moguerza, M Stadler
Energy and buildings 81, 416-423, 2014
Energy efficiency and risk management in public buildings: strategic model for robust planning
EL Cano, JM Moguerza, T Ermolieva, Y Ermoliev
Computational Management Science 11 (1), 25-44, 2014
Random forest explainability using counterfactual sets
RR Fernández, IM De Diego, V Aceña, A Fernández-Isabel, JM Moguerza
Information Fusion 63, 196-207, 2020
Quality Control with R
EL Cano, JM Moguerza, MP Corcoba
An ISO Standards Approach, 2015
Nonconvex optimization using negative curvature within a modified linesearch
A Olivares, JM Moguerza, FJ Prieto
European Journal of Operational Research 189 (3), 706-722, 2008
One-class support vector machines and density estimation: The precise relation
A Munoz, JM Moguerza
Iberoamerican Congress on Pattern Recognition, 216-223, 2004
Support vector machine classifiers for asymmetric proximities
A Muñoz, I Martín de Diego, JM Moguerza
Artificial Neural Networks and Neural Information Processing—ICANN/ICONIP …, 2003
Detecting the number of clusters using a support vector machine approach
JM Moguerza, A Muñoz, M Martín-Merino
International Conference on Artificial Neural Networks, 763-768, 2002
Combining search directions using gradient flows
JM Moguerza, FJ Prieto
Mathematical programming 96 (3), 529-559, 2003
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