Neural fraud detection in credit card operations JR Dorronsoro, F Ginel, C Sgnchez, CS Cruz IEEE transactions on neural networks 8 (4), 827-834, 1997 | 348 | 1997 |
Regression tree ensembles for wind energy and solar radiation prediction A Torres-Barrán, Á Alonso, JR Dorronsoro Neurocomputing 326, 151-160, 2019 | 199 | 2019 |
Hybrid machine learning forecasting of solar radiation values Y Gala, Á Fernández, J Díaz, JR Dorronsoro Neurocomputing 176, 48-59, 2016 | 120 | 2016 |
A characterization of potential spaces JR Dorronsoro Proceedings of the American Mathematical Society 95 (1), 21-31, 1985 | 105 | 1985 |
Finding optimal model parameters by discrete grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Innovations in Hybrid Intelligent Systems, 120-127, 2008 | 88 | 2008 |
Deep neural networks for wind and solar energy prediction D Díaz–Vico, A Torres–Barrán, A Omari, JR Dorronsoro Neural Processing Letters 46, 829-844, 2017 | 74 | 2017 |
Finding optimal model parameters by deterministic and annealed focused grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Neurocomputing 72 (13-15), 2824-2832, 2009 | 54 | 2009 |
Optimal tuning of a networked linear controller using a multi-objective genetic algorithm. Application to a complex electromechanical process D Martin, B Caballero, R Haber Innovative Computing, Information and Control, International Conference on …, 2008 | 54 | 2008 |
Differentiability properties of functions with bounded variation JR Dorronsoro Indiana University Mathematics Journal, 1027-1045, 1989 | 50 | 1989 |
Group fused lasso CM Alaíz, A Barbero, JR Dorronsoro Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 49 | 2013 |
Mean oscillation and Besov spaces JR Dorronsoro Canadian Mathematical Bulletin 28 (4), 474-480, 1985 | 42 | 1985 |
Simple proof of convergence of the SMO algorithm for different SVM variants J Lopez, JR Dorronsoro IEEE Transactions on Neural Networks and Learning Systems 23 (7), 1142-1147, 2012 | 40 | 2012 |
Combining numerical weather predictions and satellite data for PV energy nowcasting A Catalina, CM Alaiz, JR Dorronsoro IEEE Transactions on Sustainable Energy 11 (3), 1930-1937, 2019 | 36 | 2019 |
Deep least squares fisher discriminant analysis D Díaz-Vico, JR Dorronsoro IEEE transactions on neural networks and learning systems 31 (8), 2752-2763, 2019 | 35 | 2019 |
A nonlinear discriminant algorithm for feature extraction and data classification C Santa Cruz, JR Dorronsoro IEEE transactions on neural networks 9 (6), 1370-1376, 1998 | 33* | 1998 |
On the equivalence of the SMO and MDM algorithms for SVM training J López, Á Barbero, JR Dorronsoro Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 32 | 2008 |
Supervised outlier detection for classification and regression Á Fernández, J Bella, JR Dorronsoro Neurocomputing 486, 77-92, 2022 | 31 | 2022 |
Clipping algorithms for solving the nearest point problem over reduced convex hulls J López, Á Barbero, JR Dorronsoro Pattern Recognition 44 (3), 607-614, 2011 | 29 | 2011 |
Sparse LSSVMs with L0-norm minimization J Lopez, K De Brabanter, JR Dorronsoro, JAK Suykens Proceedings of the European symposium on artificial neural networks …, 2011 | 27 | 2011 |
Faster SVM training via conjugate SMO A Torres-Barrán, CM Alaíz, JR Dorronsoro Pattern Recognition 111, 107644, 2021 | 25 | 2021 |