| Biased feedback in brain-computer interfaces Á Barbero, M Grosse-Wentrup Journal of neuroengineering and rehabilitation 7 (1), 1-4, 2010 | 109 | 2010 |
| Fast Newton-type methods for total variation regularization A Barbero, S Sra Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 90 | 2011 |
| Modular proximal optimization for multidimensional total-variation regularization A Barbero, S Sra arXiv preprint arXiv:1411.0589, 2014 | 77 | 2014 |
| Finding optimal model parameters by deterministic and annealed focused grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Neurocomputing 72 (13-15), 2824-2832, 2009 | 42 | 2009 |
| On the Equivalence of the SMO and MDM Algorithms for SVM Training J López, Á Barbero, JR Dorronsoro Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008 | 33 | 2008 |
| Group fused lasso CM Alaíz, A Barbero, JR Dorronsoro International Conference on Artificial Neural Networks, 66-73, 2013 | 32 | 2013 |
| Finding optimal model parameters by discrete grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Innovations in Hybrid Intelligent Systems, 120-127, 2007 | 30 | 2007 |
| 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 |
| Improving cash logistics in bank branches by coupling machine learning and robust optimization JL Lázaro, ÁB Jiménez, A Takeda Expert Systems With Applications 92, 236-255, 2018 | 14 | 2018 |
| Modular proximal optimization for multidimensional total-variation regularization A Barbero, S Sra The Journal of Machine Learning Research 19 (1), 2232-2313, 2018 | 14 | 2018 |
| Cycle-breaking acceleration of SVM training Á Barbero, J López, JR Dorronsoro Neurocomputing 72 (7-9), 1398-1406, 2009 | 14 | 2009 |
| An accelerated MDM algorithm for SVM training A Barbero, J López, JR Dorronsoro Advances in Computational Intelligence and Learning, Proceedings of ESANN …, 2008 | 14 | 2008 |
| Momentum sequential minimal optimization: an accelerated method for support vector machine training A Barbero, JR Dorronsoro The 2011 International Joint Conference on Neural Networks, 370-377, 2011 | 13 | 2011 |
| Fast algorithms for total-variation based optimization A Barbero, S Sra Max Planck Institute for Biological Cybernetics Technical Report 194, 2010 | 12 | 2010 |
| Implicit wiener series analysis of epileptic seizure recordings A Barbero, M Franz, W Van Drongelen, JR Dorronsoro, B Scholkopf, ... 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 10 | 2009 |
| Kernel methods for wide area wind power forecasting A Barbero, J López, J Dorronsoro Proceedings of the European Wind Energy Conference and Exhibition (EWEC 2008 …, 2008 | 10 | 2008 |
| Multi-agent simulation of an educational collaborative web system Á Barbero, MS González-Rodríguez, J de Lara, M Alfonseca European Simulation and Modelling Conference, 2007 | 10 | 2007 |
| A 4–vector mdm algorithm for support vector training Á Barbero, J López, JR Dorronsoro International Conference on Artificial Neural Networks, 315-324, 2008 | 9 | 2008 |
| Convex optimization for parallel energy minimization KS Kumar, A Barbero, S Jegelka, S Sra, F Bach arXiv preprint arXiv:1503.01563, 2015 | 8 | 2015 |
| Geometric intuition and algorithms for ev-svm A Barbero, A Takeda, J López The Journal of Machine Learning Research 16 (1), 323-369, 2015 | 8 | 2015 |
Jorge López LázaroEscuela Politécnica Superior, Universidad Autónoma de MadridBestätigte E-Mail-Adresse bei iic.uam.es
