| * | 2009 |
|---|
| 35 | EE | Jorge López Lázaro,
José R. Dorronsoro:
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems.
ICANN (1) 2009: 904-912 |
| 34 | EE | Álvaro Barbero Jiménez,
José R. Dorronsoro:
A Simple Maximum Gain Algorithm for Support Vector Regression.
IWANN (1) 2009: 73-80 |
| 33 | EE | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Cycle-breaking acceleration of SVM training.
Neurocomputing 72(7-9): 1398-1406 (2009) |
| 2008 |
|---|
| 32 | EE | Jorge López Lázaro,
Álvaro Barbero Jiménez,
José R. Dorronsoro:
On the Equivalence of the SMO and MDM Algorithms for SVM Training.
ECML/PKDD (1) 2008: 288-300 |
| 31 | EE | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
An accelerated MDM algorithm for SVM training.
ESANN 2008: 421-426 |
| 30 | EE | Jorge López Lázaro,
Álvaro Barbero Jiménez,
José R. Dorronsoro:
Simple Clipping Algorithms for Reduced Convex Hull SVM Training.
HAIS 2008: 369-377 |
| 29 | EE | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
A 4-Vector MDM Algorithm for Support Vector Training.
ICANN (1) 2008: 315-324 |
| 28 | EE | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Finding Optimal Model Parameters by Discrete Grid Search.
Innovations in Hybrid Intelligent Systems 2008: 120-127 |
| 2007 |
|---|
| 27 | EE | Daniel García,
Ana M. González,
José R. Dorronsoro:
Accelerating Kernel Perceptron Learning.
ICANN (1) 2007: 159-168 |
| 26 | EE | Álvaro Barbero Jiménez,
Jorge López Lázaro,
José R. Dorronsoro:
Square Penalty Support Vector Regression.
IDEAL 2007: 537-546 |
| 25 | EE | Daniel García,
Ana M. González,
José R. Dorronsoro:
Coefficient Structure of Kernel Perceptrons and Support Vector Reduction.
IWINAC (1) 2007: 337-345 |
| 24 | EE | Ana M. González,
José R. Dorronsoro:
Natural learning in NLDA networks.
Neural Networks 20(5): 610-620 (2007) |
| 2006 |
|---|
| 23 | EE | Ana M. González,
José R. Dorronsoro:
Natural Conjugate Gradient Training of Multilayer Perceptrons.
ICANN (1) 2006: 169-177 |
| 22 | EE | Daniel García,
Ana M. González,
José R. Dorronsoro:
Convex Perceptrons.
IDEAL 2006: 578-585 |
| 21 | EE | Ana M. González,
José R. Dorronsoro:
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons.
IJCNN 2006: 887-891 |
| 2005 |
|---|
| 20 | EE | Ana M. González,
Iván Cantador,
José R. Dorronsoro:
Discriminant Parallel Perceptrons.
ICANN (2) 2005: 13-18 |
| 19 | EE | Iván Cantador,
José R. Dorronsoro:
Balanced Boosting with Parallel Perceptrons.
IWANN 2005: 208-216 |
| 18 | EE | Iván Cantador,
José R. Dorronsoro:
Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems.
IWINAC (2) 2005: 586-593 |
| 17 | EE | Iván Cantador,
José R. Dorronsoro:
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning.
IbPRIA (2) 2005: 43-50 |
| 2004 |
|---|
| 16 | EE | Kostadin Koroutchev,
José R. Dorronsoro:
Factorization of Natural 4×4 Patch Distributions.
ECCV Workshop SMVP 2004: 165-174 |
| 15 | EE | Kostadin Koroutchev,
José R. Dorronsoro:
Statistical Structure of Natural 4 × 4 Image Patches.
SSPR/SPR 2004: 452-460 |
| 2003 |
|---|
| 14 | EE | José R. Dorronsoro,
Ana M. González,
Eduardo Serrano:
Linear Unit Relevance in Multiclass NLDA Networks.
IWANN (1) 2003: 174-181 |
| 13 | EE | Kostadin Koroutchev,
José R. Dorronsoro:
A New Information Measure for Natural Images.
IWANN (2) 2003: 520-527 |
| 12 | EE | Kostadin Koroutchev,
José R. Dorronsoro:
Hash-Like Fractal Image Compression with Linear Execution Time.
IbPRIA 2003: 395-402 |
| 2002 |
|---|
| 11 | | José R. Dorronsoro:
Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings
Springer 2002 |
| 10 | EE | José R. Dorronsoro,
Ana M. González:
Natural Gradient and Multiclass NLDA Networks.
ICANN 2002: 673-680 |
| 2001 |
|---|
| 9 | EE | José R. Dorronsoro,
Ana M. González,
Carlos Santa Cruz:
Architecture Selection in NLDA Networks.
ICANN 2001: 27-32 |
| 8 | EE | José R. Dorronsoro,
Ana M. González,
Carlos Santa Cruz:
Natural Gradient Learning in NLDA Networks.
IWANN (1) 2001: 427-434 |
| 1999 |
|---|
| 7 | EE | David Aguado,
José R. Dorronsoro,
Beatriz Lucía,
Carlos Santa Cruz:
Small Sample Discrimination and Professional Performance Assessment.
IWANN (2) 1999: 558-566 |
| 1998 |
|---|
| 6 | EE | Carlos Santa Cruz,
José R. Dorronsoro:
A nonlinear discriminant algorithm for feature extraction and data classification.
IEEE Transactions on Neural Networks 9(6): 1370-1376 (1998) |
| 1997 |
|---|
| 5 | EE | Carlos Santa Cruz,
José R. Dorronsoro,
Juan A. Sigüenza,
Vicente López:
Noise Discrimination and Autoassociative Neural Networks.
IWANN 1997: 1213-1220 |
| 4 | | José R. Dorronsoro,
Vicente López,
Carlos Santa Cruz,
Juan A. Sigüenza:
Redes neuronales y clasificacion de datos: diagnóstico médico, reconocimiento de caracteres y detección de fraude.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 1: 41-47 (1997) |
| 1996 |
|---|
| 3 | | Carlos Santa Cruz,
José R. Dorronsoro:
A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction.
ICANN 1996: 563-568 |
| 1995 |
|---|
| 2 | EE | Ana M. González,
Carlos Santa Cruz,
Vicente López,
José R. Dorronsoro:
Fast Automatic Architecture Selection on RBF Networks.
IWANN 1995: 291-297 |
| 1993 |
|---|
| 1 | EE | Vicente López,
Ramón Huerta,
José R. Dorronsoro:
Recurrent and Feedforward Polynomial Modeling of Coupled Time Series.
Neural Computation 5(5): 795-811 (1993) |
