| Modular proximal optimization for multidimensional total-variation regularization A Barbero, S Sra Journal of Machine Learning Research 19 (56), 1-82, 2018 | 150 | 2018 |
| Biased feedback in brain-computer interfaces Á Barbero, M Grosse-Wentrup Journal of neuroengineering and rehabilitation 7, 1-4, 2010 | 139 | 2010 |
| Fast Newton-type methods for total variation regularization A Barbero, S Sra Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 114 | 2011 |
| Finding optimal model parameters by discrete grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Innovations in hybrid intelligent systems, 120-127, 2008 | 110 | 2008 |
| Finding optimal model parameters by deterministic and annealed focused grid search ÁB Jiménez, JL Lázaro, JR Dorronsoro Neurocomputing 72 (13-15), 2824-2832, 2009 | 57 | 2009 |
| Group fused lasso CM Alaíz, A Barbero, JR Dorronsoro Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 56 | 2013 |
| 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 | 47 | 2018 |
| 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 | 34 | 2008 |
| Mixture of diffusers for scene composition and high resolution image generation ÁB Jiménez arXiv preprint arXiv:2302.02412, 2023 | 33 | 2023 |
| 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 | 31 | 2011 |
| Geometric intuition and algorithms for Eν–SVM A Barbero, A Takeda, J López Journal of Machine Learning Research 16 (323-369), 2015 | 17 | 2015 |
| 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 | 17 | 2011 |
| An accelerated MDM algorithm for SVM training A Barbero, J López, JR Dorronsoro Advances in Computational Intelligence and Learning, Proceedings of ESANN …, 2008 | 17 | 2008 |
| Innovations in hybrid intelligent systems ÁB Jiménez, JL Lázaro, JR Dorronsoro Springer, 2007 | 16 | 2007 |
| Cycle-breaking acceleration of SVM training Á Barbero, J López, JR Dorronsoro Neurocomputing 72 (7-9), 1398-1406, 2009 | 13 | 2009 |
| Rigoberta: A state-of-the-art language model for spanish AV Serrano, GG Subies, HM Zamorano, NA Garcia, D Samy, DB Sanchez, ... arXiv preprint arXiv:2205.10233, 2022 | 11 | 2022 |
| Kernel methods for wide area wind power forecasting Á Barbero, J López, JR Dorronsoro Proceedings of the European Wind Energy Conference and Exhibition (EWEC 2008 …, 2008 | 11 | 2008 |
| Convex optimization for parallel energy minimization KS Kumar, A Barbero, S Jegelka, S Sra, F Bach arXiv preprint arXiv:1503.01563, 2015 | 9 | 2015 |
| Faster directions for second order SMO Á Barbero, JR Dorronsoro International conference on artificial neural networks, 30-39, 2010 | 9 | 2010 |
| Fast algorithms for total-variation based optimization A Barbero, S Sra Max Planck Institute for Biological Cybernetics Technical Report 194, 2010 | 9 | 2010 |
jose dorronsorouam確認したメール アドレス: uam.es
