The interplay of optimization and machine learning research KP Bennett, E Parrado-Hernández The Journal of Machine Learning Research 7, 1265-1281, 2006 | 227 | 2006 |
Tighter PAC-bayes bounds A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Advances in neural information processing systems 19, 9, 2007 | 150 | 2007 |
PAC-Bayes bounds with data dependent priors E Parrado-Hernández, A Ambroladze, J Shawe-Taylor, S Sun The Journal of Machine Learning Research 13 (1), 3507-3531, 2012 | 147 | 2012 |
Distributed support vector machines A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ... IEEE Transactions on Neural Networks 17 (4), 1091-1097, 2006 | 110 | 2006 |
Multiple partial discharge source discrimination with multiclass support vector machines G Robles, E Parrado-Hernández, J Ardila-Rey, JM Martínez-Tarifa Expert Systems with Applications 55, 417-428, 2016 | 62 | 2016 |
PAC-Bayes bounds for stable algorithms with instance-dependent priors O Rivasplata, E Parrado-Hernández, JS Shawe-Taylor, S Sun, ... Advances in Neural Information Processing Systems, 9214-9224, 2018 | 57 | 2018 |
Growing support vector classifiers with controlled complexity E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ... Pattern Recognition 36 (7), 1479-1488, 2003 | 56 | 2003 |
A new distance measure for model-based sequence clustering D García-García, EP Hernández, F Díaz-de María IEEE Transactions on Pattern Analysis & Machine Intelligence, 1325-1331, 2008 | 51 | 2008 |
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems E Parrado-Hernández, E Gómez-Sánchez, YA Dimitriadis Neural Networks 16 (7), 1039-1057, 2003 | 51 | 2003 |
Discovering brain regions relevant to obsessive–compulsive disorder identification through bagging and transduction E Parrado-Hernández, V Gómez-Verdejo, M Martínez-Ramón, ... Medical Image Analysis 18 (3), 435-448, 2014 | 37 | 2014 |
Support vector machine interpretation A Navia-Vázquez, E Parrado-Hernández Neurocomputing 69 (13), 1754-1759, 2006 | 37 | 2006 |
Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization G Robles, JM Fresno, JM Martínez-Tarifa, JA Ardila-Rey, ... Sensors 18 (3), 746, 2018 | 27 | 2018 |
ART-Based Model Set for Pattern Recognition: FasArt Family GI Sainz Palmero, YA Dimitriadis, JM Cano Izquierdo, E Gómez Sánchez, ... Neuro-fuzzy pattern recognition, 145-175, 2000 | 27 | 2000 |
Sign-consistency based variable importance for machine learning in brain imaging V Gómez-Verdejo, E Parrado-Hernández, J Tohka, ... Neuroinformatics 17 (4), 593-609, 2019 | 26 | 2019 |
Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation C Boya, G Robles, E Parrado-Hernández, M Ruiz-Llata Sensors 17 (11), 2625, 2017 | 19 | 2017 |
Robust Condition Assessment of Electrical Equipment with One Class Support Vector Machines Based on the Measurement of Partial Discharges E Parrado-Hernández, G Robles, JA Ardila-Rey, JM Martínez-Tarifa Energies 11 (3), 486, 2018 | 17 | 2018 |
Music genre classification using the temporal structure of songs D García-García, J Arenas-García, E Parrado-Hernández, ... 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010 | 16 | 2010 |
Complexity of pattern classes and the Lipschitz property A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Theoretical Computer Science 382 (3), 232-246, 2007 | 16 | 2007 |
Progress in Self-Certified Neural Networks M Perez-Ortiz, O Rivasplata, E Parrado-Hernandez, B Guedj, ... arXiv preprint arXiv:2111.07737, 2021 | 15 | 2021 |
State-space dynamics distance for clustering sequential data D García-García, E Parrado-Hernández, F Diaz-de-Maria Pattern Recognition 44 (5), 1014-1022, 2011 | 13 | 2011 |