Angel Navia-Vázquez

Angel Navia-Vázquez, Jerónimo Arenas-García: Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise. IEEE Transactions on Signal Processing 60(3): 1478-1482 (2012)

Angel Navia-Vázquez, R. Díaz-Morales: Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares. Signal Processing 91(4): 1066-1070 (2011)

Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Angel Navia-Vázquez: Adaptive One-Class Support Vector Machine. IEEE Transactions on Signal Processing 59(6): 2975-2981 (2011)

R. Díaz-Morales, H. Y. Molina-Bulla, Angel Navia-Vázquez: Parallel Semiparametric Support Vector Machines. IJCNN 2011: 475-481

Angel Navia-Vázquez, R. Díaz-Morales: Fast error estimation for efficient support vector machine growing. Neurocomputing 73(4-6): 1018-1023 (2010)

Carlos Guerrero-Mosquera, Armando Malanda-Trigueros, Jorge Iriarte Franco, Angel Navia-Vázquez: New feature extraction approach for epileptic EEG signal detection using time-frequency distributions. Med. Biol. Engineering and Computing 48(4): 321-330 (2010)

Angel Navia-Vázquez: Support vector perceptrons. Neurocomputing 70(4-6): 1089-1095 (2007)

Angel Navia-Vázquez: Compact multi-class support vector machine. Neurocomputing 71(1-3): 400-405 (2007)

Angel Navia-Vázquez, Emilio Parrado-Hernández: Support vector machine interpretation. Neurocomputing 69(13-15): 1754-1759 (2006)

Jerónimo Arenas-García, Manel Martínez-Ramón, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Plant identification via adaptive combination of transversal filters. Signal Processing 86(9): 2430-2438 (2006)

Angel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan: Distributed support vector machines. IEEE Transactions on Neural Networks 17(4): 1091-1097 (2006)

Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Angel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal: Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Transactions on Neural Networks 17(6): 1617-1622 (2006)

José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Support vector machines framework for linear signal processing. Signal Processing 85(12): 2316-2326 (2005)

D. Gutiérrez-González, Emilio Parrado-Hernández, Angel Navia-Vázquez: Multi-kernel Growing Support Vector Regressor. IWANN 2005: 357-365

Angel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal: Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. VLSI Signal Processing 37(2-3): 223-235 (2004)

Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, H. Y. Molina-Bulla, Jesús Cid-Sueiro, P. Díaz-Pérez, Angel Navia-Vázquez: InterMediActor: an Environment for Instructional Content Design Based on Competences. Educational Technology & Society 6(4): 30-47 (2003)

Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Angel Navia-Vázquez: On problem-oriented kernel refining. Neurocomputing 55(1-2): 135-150 (2003)

Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Angel Navia-Vázquez: Growing support vector classifiers with controlled complexity. Pattern Recognition 36(7): 1479-1488 (2003)

Fernando Pérez-Cruz, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Empirical risk minimization for support vector classifiers. IEEE Transactions on Neural Networks 14(2): 296-303 (2003)

Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, Jesús Cid-Sueiro, P. Díaz-Pérez, Angel Navia-Vázquez, H. Y. Molina-Bulla: InterMediActor: an Environment for Instructional Content Design Based on Competences. SAC 2003: 575-579

Ascensión Gallardo-Antolín, Angel Navia-Vázquez, H. Y. Molina-Bulla, A. B. Rodríguez-González, Francisco J. Valverde-Albacete, Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal, T. Koutris, C. Xirouhaki, Manolis Koubarakis: I-Gaia: an information processing layer for the DIET platform. AAMAS 2002: 1272-1279

I. Mora-Jiménez, Abdelouahid Lyhyaoui, Jerónimo Arenas-García, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: A Trainable Classifier via k Nearest Neighbors. HIS 2002: 365-373

Fernando Pérez-Cruz, Angel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez: SVC-based equalizer for burst TDMA transmissions. Signal Processing 81(8): 1681-1693 (2001)

Angel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal: Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Transactions on Neural Networks 12(5): 1047-1059 (2001)

Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Efficient Block Training of Multilayer Perceptrons. Neural Computation 12(6): 1429-1447 (2000)

I. Mora-Jiménez, Angel Navia-Vázquez: A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities. ICIP 2000: 415-418

Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Angel Navia-Vázquez, Antonio Artés-Rodríguez: Fast Training of Support Vector Classifiers. NIPS 2000: 734-740

Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Total least squares for block training of neural networks. Neurocomputing 25(1-3): 213-217 (1999)