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Oscar Fontenla-Romero
2010 – today
- 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
2000 – 2009
- 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
1990 – 1999
- 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
Coauthor Index
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last updated on 2013-04-14 02:20 CEST by the dblp team