| The interplay of optimization and machine learning research KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (Jul), 1265-1281, 2006 | 146 | 2006 |
| Tighter PAC-bayes bounds A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Advances in neural information processing systems 19, 9, 2007 | 97 | 2007 |
| Distributed support vector machines A Navia-Vázquez, D Gutierrez-Gonzalez, E Parrado-Hernández, ... IEEE Transactions on Neural Networks 17 (4), 1091-1097, 2006 | 84 | 2006 |
| 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 | 69 | 2012 |
| Growing support vector classifiers with controlled complexity E Parrado-Hernández, I Mora-Jiménez, J Arenas-Garcıa, ... Pattern Recognition 36 (7), 1479-1488, 2003 | 55 | 2003 |
| 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 | 47 | 2003 |
| 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 | 38 | 2016 |
| 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 | 36 | 2008 |
| 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 | 26 | 2014 |
| Support vector machine interpretation A Navia-Vázquez, E Parrado-Hernández Neurocomputing 69 (13), 1754-1759, 2006 | 25 | 2006 |
| 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 | 24 | 2000 |
| 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 | 19 | 2018 |
| 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 | 18 | 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 | 12 | 2010 |
| 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 | 11 | 2017 |
| 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 | 11 | 2011 |
| Complexity of pattern classes and the Lipschitz property A Ambroladze, E Parrado-Hernández, J Shawe-Taylor Theoretical Computer Science 382 (3), 232-246, 2007 | 11 | 2007 |
| 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 | 8 | 2018 |
| Low-cost model selection for SVMs using local features M Lázaro-Gredilla, V Gómez-Verdejo, E Parrado-Hernández Engineering Applications of Artificial Intelligence 25 (6), 1203-1211, 2012 | 8 | 2012 |
| On problem-oriented kernel refining E Parrado-Hernández, J Arenas-Garcıa, I Mora-Jiménez, ... Neurocomputing 55 (1), 135-150, 2003 | 7 | 2003 |
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
