| A very fast learning method for neural networks based on sensitivity analysis E Castillo, B Guijarro-Berdiñas, O Fontenla-Romero, A Alonso-Betanzos Journal of Machine Learning Research 7 (Jul), 1159-1182, 2006 | 134 | 2006 |
| An intelligent system for forest fire risk prediction and fire fighting management in Galicia A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdiñas, ... Expert systems with applications 25 (4), 545-554, 2003 | 113 | 2003 |
| Automatic bearing fault diagnosis based on one-class ν-SVM D FernáNdez-Francos, D MartíNez-Rego, O Fontenla-Romero, ... Computers & Industrial Engineering 64 (1), 357-365, 2013 | 102 | 2013 |
| A new method for sleep apnea classification using wavelets and feedforward neural networks O Fontenla-Romero, B Guijarro-Berdiñas, A Alonso-Betanzos, ... Artificial Intelligence in Medicine 34 (1), 65-76, 2005 | 94 | 2005 |
| A global optimum approach for one-layer neural networks E Castillo, O Fontenla-Romero, B Guijarro-Berdiñas, A Alonso-Betanzos Neural Computation 14 (6), 1429-1449, 2002 | 71 | 2002 |
| Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response D Erdogmus, O Fontenla-Romero, JC Principe, A Alonso-Betanzos, ... IEEE Transactions on Neural Networks 16 (2), 325-337, 2005 | 62 | 2005 |
| Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system B Guijarro-Berdiñas, A Alonso-Betanzos, O Fontenla-Romero Artificial Intelligence 136 (1), 1-27, 2002 | 48 | 2002 |
| Distributed one-class support vector machine E Castillo, D Peteiro-Barral, BG Berdiñas, O Fontenla-Romero International journal of neural systems 25 (07), 1550029, 2015 | 46 | 2015 |
| Conversion methods for symbolic features: A comparison applied to an intrusion detection problem E Hernández-Pereira, JA Suárez-Romero, O Fontenla-Romero, ... Expert Systems with Applications 36 (7), 10612-10617, 2009 | 46 | 2009 |
| Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks F LÓPEZ‐GRANADOS, JM PEÑA‐BARRAGÁN, M JURADO‐EXPÓSITO, ... Weed Research 48 (1), 28-37, 2008 | 44 | 2008 |
| A robust incremental learning method for non-stationary environments D Martínez-Rego, B Pérez-Sánchez, O Fontenla-Romero, ... Neurocomputing 74 (11), 1800-1808, 2011 | 36 | 2011 |
| A new convex objective function for the supervised learning of single-layer neural networks O Fontenla-Romero, B Guijarro-Berdiñas, B Pérez-Sánchez, ... Pattern Recognition 43 (5), 1984-1992, 2010 | 36 | 2010 |
| A linear learning method for multilayer perceptrons using least-squares B Guijarro-Berdiñas, O Fontenla-Romero, B Pérez-Sánchez, P Fraguela International Conference on Intelligent Data Engineering and Automated …, 2007 | 36 | 2007 |
| Online machine learning Ó Fontenla-Romero, B Guijarro-Berdiñas, D Martinez-Rego, ... Efficiency and Scalability Methods for Computational Intellect, 27-54, 2013 | 33 | 2013 |
| Power wind mill fault detection via one-class ν-SVM vibration signal analysis D Martinez-Rego, O Fontenla-Romero, A Alonso-Betanzos The 2011 International Joint Conference on Neural Networks, 511-518, 2011 | 29 | 2011 |
| Adaptive inverse control using an online learning algorithm for neural networks JL Calvo-Rolle, O Fontenla-Romero, B Pérez-Sánchez, ... Informatica 25 (3), 401-414, 2014 | 26 | 2014 |
| Adaptive pattern recognition in the analysis of cardiotocographic records O Fontenla-Romero, A Alonso-Betanzos, B Guijarro-Berdiñas IEEE transactions on neural networks 12 (5), 1188-1195, 2001 | 26 | 2001 |
| Efficiency of local models ensembles for time series prediction D Martínez-Rego, O Fontenla-Romero, A Alonso-Betanzos Expert Systems with Applications 38 (6), 6884-6894, 2011 | 20 | 2011 |
| Accelerating the convergence speed of neural networks learning methods using least squares. O Fontenla-Romero, D Erdogmus, JC Príncipe, A Alonso-Betanzos, ... ESANN, 255-260, 2003 | 20 | 2003 |
| A review of adaptive online learning for artificial neural networks B Pérez-Sánchez, O Fontenla-Romero, B Guijarro-Berdiñas Artificial Intelligence Review 49 (2), 281-299, 2018 | 19 | 2018 |
Amparo Alonso-BetanzosCatedrática de Computación (UDC)Verified email at udc.es
