Oscar Fontenla-Romero

	2009
31		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
30		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
29		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)
	2008
28		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
27		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
26		Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela: A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198
25		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
24		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
23		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
22		Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos: A Fast Classification Algorithm Based on Local Models. IDEAL 2006: 249-256
21		Enrique 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
20		Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos: Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) 2005: 949-954
19		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)
	2004
18		Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño: Shear strength prediction using dimensional analysis and functional networks. ESANN 2004: 251-256
17		Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas: A measure of fault tolerance for functional networks. Neurocomputing 62: 327-347 (2004)
	2003
16		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
15		Oscar 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
14		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
13		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
12		Oscar 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
11		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
10		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)
	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
7		Oscar 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
6		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)
5		Enrique 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
4		Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Measure of Noise Immunity for Functional Networks. IWANN (1) 2001: 293-300
3		Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos: A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307
2		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
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

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