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Oscar Fontenla-Romero Vis

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*2009
31EEIago 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
30EEBeatriz 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
29EEElena 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)
2008
28EEBertha 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
27EEDavid 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
26EEBertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela: A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198
25EEYuridia 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
24EEBertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela: A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL 2007: 365-374
23EERuben 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
22EESabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Fast Classification Algorithm Based on Local Models. IDEAL 2006: 249-256
21EEEnrique 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)
2005
20EENoelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos: Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) 2005: 949-954
19EEOscar 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)
2004
18EEAmparo Alonso-Betanzos, Enrique Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño: Shear strength prediction using dimensional analysis and functional networks. ESANN 2004: 251-256
17EEOscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas: A measure of fault tolerance for functional networks. Neurocomputing 62: 327-347 (2004)
2003
16EEOscar 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
15EEOscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo: Accelerating the convergence speed of neural networks learning methods using least squares. ESANN 2003: 255-260
14EENoelia 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
13EEDeniz 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
12EEOscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo: Linear Least-Squares Based Methods for Neural Networks Learning. ICANN 2003: 84-91
11EEJuan 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
10EEAmparo 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)
2002
9 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
8 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
7EEOscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas: Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN 2002: 945-950
6EEBertha 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)
5EEEnrique 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)
2001
4EEEnrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Measure of Noise Immunity for Functional Networks. IWANN (1) 2001: 293-300
3EEOscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307
2EEBertha 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
1 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

1Amparo Alonso-Betanzos [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [25] [27] [28] [29] [31]
2Juan Canda [8]
3Tarsy Carballas [10]
4Enrique Castillo [4] [5] [7] [12] [15] [17] [18] [20] [21]
5Deniz Erdogmus [12] [13] [15]
6Olga Fernández-Chaves [1]
7Ana del Rocío Fraga-Iglesias [16]
8Paula Fraguela [24] [26]
9Yuridia Gago-Pallares [25]
10Olga Garcia-Dans [2]
11Bertha Guijarro-Berdiñas [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [14] [16] [17] [19] [21] [24] [26] [28] [30]
12Elena Hernández-Pereira [8] [10] [29]
13Eulogio Jimenez [8] [10]
14Jose Luis Legido [8] [10]
15David Martínez-Rego [27] [31]
16Vicente Moret-Bonillo [16] [19]
17Susana Muñiz [8]
18Cristina Paz-Andrade [8]
19Maria Inmaculada Paz-Andrade [8] [10]
20Beatriz Pérez-Sánchez [23] [24] [26] [28] [30]
21Sabela Platero-Santos [22]
22Iago Porto-Díaz [31]
23José Carlos Príncipe (José C. Príncipe, Jose C. Principe) [1] [7] [12] [13] [15]
24Yadunandana N. Rao [13]
25Ruben M. Rodriguez-Pena [23]
26Noelia Sánchez-Maroño [2] [14] [18] [20]
27Juan A. Suárez-Romero [11] [29]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)