| 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 | 225 | 2013 |
| 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 | 191 | 2003 |
| A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. E Castillo, B Guijarro-Berdinas, O Fontenla-Romero, A Alonso-Betanzos, ... Journal of Machine Learning Research 7 (7), 2006 | 181 | 2006 |
| A new method for sleep apnea classification using wavelets and feedforward neural networks O Fontenla-Romero, B Guijarro-Berdinas, A Alonso-Betanzos, ... Artificial Intelligence in Medicine 34 (1), 65-76, 2005 | 131 | 2005 |
| Online machine learning Ó Fontenla-Romero, B Guijarro-Berdiñas, D Martinez-Rego, ... Efficiency and scalability methods for computational intellect, 27-54, 2013 | 123 | 2013 |
| A review of adaptive online learning for artificial neural networks B Pérez-Sánchez, O Fontenla-Romero, B Guijarro-Berdiñas Artificial Intelligence Review 49, 281-299, 2018 | 103 | 2018 |
| A global optimum approach for one-layer neural networks E Castillo, O Fontenla-Romero, B Guijarro-Berdinas, A Alonso-Betanzos Neural Computation 14 (6), 1429-1449, 2002 | 79 | 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 | 76 | 2005 |
| 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 | 68 | 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 | 68 | 2008 |
| 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 | 67 | 2015 |
| 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 | 63 | 2002 |
| 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 | 54 | 2010 |
| A robust incremental learning method for non-stationary environments D Martinez-Rego, B Perez-Sanchez, O Fontenla-Romero, ... Neurocomputing 74 (11), 1800-1808, 2011 | 52 | 2011 |
| 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 | 49 | 2011 |
| A linear learning method for multilayer perceptrons using least-squares B Guijarro-Berdiñas, O Fontenla-Romero, B Pérez-Sánchez, P Fraguela Intelligent Data Engineering and Automated Learning-IDEAL 2007: 8th …, 2007 | 47 | 2007 |
| Dealing with inter-expert variability in retinopathy of prematurity: a machine learning approach V Bolón-Canedo, E Ataer-Cansizoglu, D Erdogmus, J Kalpathy-Cramer, ... Computer methods and programs in biomedicine 122 (1), 1-15, 2015 | 45 | 2015 |
| A neural network approach for forestal fire risk estimation A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdinas, ... ECAI, 643-647, 2002 | 42 | 2002 |
| One-class convex hull-based algorithm for classification in distributed environments D Fernández-Francos, O Fontenla-Romero, A Alonso-Betanzos IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (2), 386-396, 2017 | 41 | 2017 |
| 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 | 39 | 2014 |
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Verified email at udc.es
