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 | 2013 | |
|---|---|---|
| j17 |      | Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Automatic bearing fault diagnosis based on one-class ν-SVM. Computers & Industrial Engineering 64(1): 357-365 (2013) |
| j16 | | Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero: A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. Expert Syst. Appl. 40(10): 3900-3905 (2013) |
| 2012 | ||
| j15 | | Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero: Information Theoretic Learning and local modeling for binary and multiclass classification. Progress in AI 1(4): 315-328 (2012) |
| j14 | | David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognition 45(12): 4536-4546 (2012) |
| c34 | | Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, T. Craig, R. García-Mira: An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. PAAMS (Special Sessions) 2012: 257-264 |
| 2011 | ||
| j13 | | David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. 38(6): 6884-6894 (2011) |
| j12 | | David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A robust incremental learning method for non-stationary environments. Neurocomputing 74(11): 1800-1808 (2011) |
| j11 | | Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero: A study of performance on microarray data sets for a classifier based on information theoretic learning. Neural Networks 24(8): 888-896 (2011) |
| c33 | | Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero: A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. ESANN 2011 |
| c32 | | David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN 2011: 511-518 |
| 2010 | ||
| j10 | | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos: A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognition 43(5): 1984-1992 (2010) |
| c31 | | Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero: Local Modeling Classifier for Microarray Gene-Expression Data. ICANN (3) 2010: 11-20 |
| c30 | | David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos: Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) 2010: 60-66 |
| c29 | | Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero: A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. ICANN (1) 2010: 415-421 |
| c28 | | Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas: An incremental learning method for neural networks in adaptive environments. IJCNN 2010: 1-8 |
| c27 | | Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. KES (1) 2010: 168-177 |
| 2009 | ||
| j9 | | Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. Expert Syst. Appl. 36(7): 10612-10617 (2009) |
| c26 | | Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas: An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA 2009: 42-50 |
| c25 | | Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero: Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) 2009: 824-833 |
| c24 | | David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos: A new supervised local modelling classifier based on information theory. IJCNN 2009: 2014-2020 |
| c23 | | Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas: A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. IWANN (1) 2009: 157-164 |
| r1 | | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez: Functional Networks. Encyclopedia of Artificial Intelligence 2009: 667-676 |
| 2008 | ||
| c22 | | Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos: A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. ESANN 2008: 289-294 |
| c21 | | David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Method for Time Series Prediction using a Combination of Linear Models. ESANN 2008: 295-300 |
| 2007 | ||
| c20 | | Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela: A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198 |
| c19 | | Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. IDEAL 2007: 168-177 |
| c18 | | Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela: A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL 2007: 365-374 |
| c17 | | Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero: A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. IJCNN 2007: 1607-1612 |
| 2006 | ||
| j8 | | Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. Journal of Machine Learning Research 7: 1159-1182 (2006) |
| c16 | | Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Fast Classification Algorithm Based on Local Models. IDEAL 2006: 249-256 |
| 2005 | ||
| j7 | | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo: A new method for sleep apnea classification using wavelets and feedforward neural networks. Artificial Intelligence in Medicine 34(1): 65-76 (2005) |
| j6 | | Deniz Erdogmus, Oscar Fontenla-Romero, Jose C. Principe, Amparo Alonso-Betanzos, Enrique F. Castillo: Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Transactions on Neural Networks 16(2): 325-337 (2005) |
| c15 | | Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos: Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) 2005: 949-954 |
| 2004 | ||
| j5 | | Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas: A measure of fault tolerance for functional networks. Neurocomputing 62: 327-347 (2004) |
| c14 | | Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño: Shear strength prediction using dimensional analysis and functional networks. ESANN 2004: 251-256 |
| 2003 | ||
| j4 | | Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas: An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. 25(4): 545-554 (2003) |
| c13 | | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo: A Bayesian Neural Network Approach for Sleep Apnea Classification. AIME 2003: 284-293 |
| c12 | | Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas: Self-organizing maps and functional networks for local dynamic modeling. ESANN 2003: 39-44 |
| c11 | | Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo: Accelerating the convergence speed of neural networks learning methods using least squares. ESANN 2003: 255-260 |
| c10 | | Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN 2003: 451-456 |
| c9 | | Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo: Linear Least-Squares Based Methods for Neural Networks Learning. ICANN 2003: 84-91 |
| c8 | | Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. IWANN (1) 2003: 270-277 |
| 2002 | ||
| j3 | | Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero: Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. 136(1): 1-27 (2002) |
| j2 | | Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Global Optimum Approach for One-Layer Neural Networks. Neural Computation 14(6): 1429-1449 (2002) |
| c7 |  | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. Advances in Computational Intelligence and Learning 2002: 489-500 |
| c6 | | Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade: A Neural Network Approach for Forestal Fire Risk Estimation. ECAI 2002: 643-647 |
| c5 | | Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas: Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN 2002: 945-950 |
| 2001 | ||
| j1 | | Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas: Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Transactions on Neural Networks 12(5): 1188-1195 (2001) |
| c4 | | Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Measure of Noise Immunity for Functional Networks. IWANN (1) 2001: 293-300 |
| c3 | | Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307 |
| c2 | | Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño: An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) 2001: 393-400 |
| 1998 | ||
| c1 | | Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe: Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. NC 1998: 358-364 |
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