Support vector machines with applications JM Moguerza, A Muñoz | 365 | 2006 |
General performance score for classification problems IM De Diego, AR Redondo, RR Fernández, J Navarro, JM Moguerza Applied Intelligence 52 (10), 12049-12063, 2022 | 99 | 2022 |
A review of machine learning kernel methods in statistical process monitoring A Apsemidis, S Psarakis, JM Moguerza Computers & Industrial Engineering 142, 106376, 2020 | 84 | 2020 |
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, 197-213, 2016 | 81 | 2016 |
Six sigma with R: Statistical engineering for process improvement EL Cano, JM Moguerza, A Redchuk Springer Science & Business Media, 2012 | 78 | 2012 |
Monitoring nonlinear profiles using support vector machines JM Moguerza, A Muñoz, S Psarakis Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007 | 77 | 2007 |
Random forest explainability using counterfactual sets RR Fernández, IM De Diego, V Aceña, A Fernández-Isabel, JM Moguerza Information Fusion 63, 196-207, 2020 | 76 | 2020 |
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 | 76 | 2006 |
Methods for the combination of kernel matrices within a support vector framework IM de Diego, A Munoz, JM Moguerza Machine learning 78, 137-174, 2010 | 75 | 2010 |
An augmented Lagrangian interior-point method using directions of negative curvature JM Moguerza, FJ Prieto Mathematical Programming 95 (3), 573-616, 2003 | 45 | 2003 |
Combining kernel information for support vector classification IM de Diego, JM Moguerza, A Munoz International Workshop on Multiple Classifier Systems, 102-111, 2004 | 43 | 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 | 41 | 2016 |
Improving support vector classification via the combination of multiple sources of information JM Moguerza, A Munoz, IM de Diego Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004 | 40 | 2004 |
A strategic optimization model for energy systems planning EL Cano, M Groissböck, JM Moguerza, M Stadler Energy and Buildings 81, 416-423, 2014 | 38 | 2014 |
Electricity price forecasting with dynamic trees: A benchmark against the random forest approach J Pórtoles, C González, JM Moguerza Energies 11 (6), 1588, 2018 | 37 | 2018 |
Self-managing: an empirical study of the practice in agile teams G Gutierrez, J Garzas, MTG de Lena, JM Moguerza IEEE software 36 (1), 23-27, 2018 | 35 | 2018 |
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, 25-44, 2014 | 33 | 2014 |
Quality Control with R EL Cano, JM Moguerza, MP Corcoba An ISO Standards Approach, 2015 | 31 | 2015 |
One-class support vector machines and density estimation: The precise relation A Munoz, JM Moguerza Progress in Pattern Recognition, Image Analysis and Applications: 9th …, 2004 | 29 | 2004 |
A Scrum-based framework for new product development in the non-software industry EL Cano, JM García-Camús, J Garzás, JM Moguerza, NN Sánchez Journal of engineering and technology management 61, 101634, 2021 | 25 | 2021 |