Source: http://ece-research.unm.edu/PofA/es/node/31
Timestamp: 2019-04-19 11:19:56+00:00

Document:
G. Camps-Valls, J. L. Rojo-Álvarez and M. Martínez-Ramón (Eds.), Kernel Methods in Bioengineering, Communications and Image Processing”, Idea Group, Inc. Hershey, PA. USA 2006. ISBN: 1-5990-404-2-5.
E. Hines, M. Leeson, M. Martínez-Ramón, Matteo Pardo, Eduard Llobet, Daciana Iliescu, Jianhua Yang (Eds), "Intelligent Systems: Techniques and Applications", Shaker Verlag, Maastrich, NL, 2008, ISBN: 978-90-423-0345-4.
• A. Lyhyaoui, M. Martínez-Ramón, I. Mora-Giménez, M. Vázquez-Castro, J. L. Sancho-Gómez, A. R. Figueiras-Vidal “Sample Selection Via Clustering to Construct Support Vector-like Clasifiers”, IEEE Transactions on Neural Networks, Vol 10, No 6, Nov. 1999, pp. 1474-1481.
• J. L. Rojo Álvarez, M. Martínez-Ramón, A. R. Figueiras-Vidal, A. García-Armada, A. Artés-Rodríguez, "A robust Support Vector Method for Non-parametric Spectral Analysis", IEEE Signal Processing Letters, Vol. 10, Nº 11, Nov. 2003, pp. 320-323.
• J. L. Rojo Álvarez, M. Martínez-Ramón, M. De Prado-Cumplido, A. Artés-Rodríguez, A. R. Figueiras-Vidal, "Support Vector Method for ARMA System Identification", IEEE Trans. on Signal Processing, Vol. 52, Nº 1, Jan. 2004, pp. 155-164.
• M. Martínez-Ramón, A. Artés-Rodriguez, A. Navia-Vazquez, A. R. Figueiras-Vidal, "Adaptively Combined LMS and Logistic Equalizers", IEEE Signal Processing Letters, Vol. 11, No. 10, Oct. 2004, pp. 777-779.
• G. Camps-Valls, M. Martínez-Ramón, J. L. Rojo-Álvarez, E. Soria-Arribas, “Robust -filter Using the Support Vector Method”, Neurocomputing, Elsevier, Vol 62C, Dec, 2004, pp. 493-499.
• J. L. Rojo-Álvarez, G. Camps-Valls, M. Martínez-Ramón, A. Navia-Vazquez, A. R. Figueiras-Vidal, E. Soria-Arribas, "Support Vector Machines Framework for Linear Signal Processing", Signal Processing, Vol 85, Nº 12, pp. 2316-2326, 2005.
• M. Martinez Ramón, N. Xu, C. Christodoulou, "Beamforming Using Support Vector Machines", IEEE Antenas and Wireless Propagation Letters, Vol. 4, pp. 439-442, Dec. 2005.
• M. J. Fernández-Getino-García, J. L. Rojo-Álvarez, F. Alonso-Atienza, M. Martínez-Ramón, "Support vector machines for robust channel estimation in OFDM", IEEE Signal Processing Letters, Vol. 13, No 7, pp. 397 - 400, July 2006.
• M. Martínez-Ramón, V. Koltchinskii, G. L. Heileman, S. Posse, “fMRI Pattern Classification using Neuroanatomically Constrained Boosting”, Neuroimage, Vol. 31, No 3, pp. 1129-1141, July 2006.
• J. Arenas-García, M. Martínez-Ramón, Á. Navia-Vazquez and A. R. Figueiras-Vidal, "Plant identification via adaptive combination of transversal filters", Signal Processing, Vol. 86, No 9, pp. 2430-2438, Sep. 2006.
• M. Martínez Ramón, J. L. Rojo-Álvarez, G. Camps-Valls, J. Muñoz-Marí, A. Navia-Vazquez, E. Soria-Olivas, A. Figueiras-Vidal, "Support Vector Machines for Nonlinear Kernel ARMA System Identification", IEEE Transactions on Neural Networks, Vol 17, No 6, pp. 1617-1622, Nov. 2006.
• G. Camps-Valls, M. Martínez-Ramón, J. Luis Rojo-Álvarez and J. Muñoz-Marí, "Non-linear System Identification with Composite Relevance Vector Machines", IEEE Signal Processing Letters, Vol. 14, No 4, pp. 279-282, April, 2007.
• M. Martínez-Ramón, J. L. Rojo-Álvarez, G. Camps-Valls, C. G. Christodoulou, "Kernel Antenna Array Processing", IEEE Transactions on Antennas and Propagation, Special Issue on Synthesis and Optimization Techniques in Electromagnetics and Antenna System Design, Vol. 55, Nº 3, pp. 642-650, March 2007.
• J. L. Rojo-Álvarez, C. Figuera, C.E. Martínez-Cruz, G. Camps-Valls, F. Alonso-Atienza, M. Martínez-Ramón, "Nonuniform Interpolation of Noisy Signals using Support Vector Machines", IEEE Transactions on Signal Processing, Vol. 55, No 8, pp. 4116-4126, August, 2007.
• G. Camps-Valls, L. Gómez-Chova, J. Muñoz-Marí, J. L. Rojo-Álvarez, M. Martínez-Ramón, " Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection ", IEEE Transactions on Geosicience and Remote Sensing. Vol. 46, No. 6, pp. 1822-1835, June 2008.
• J. L. Rojo-Álvarez, M. Martínez-Ramón, J. Muñoz-Marí, G. Camps-Valls, C. M. Cruz, and A. R. Figueiras-Vidal, "Sparse Deconvolution Using Support Vector Machines", Journal of Advances in Signal Processing, Special Issue on Emerging Machine Learning Techniques in Signal Processing, Vol. 2008.
• G. Camps-Valls, J. Muñoz-Marí, M. Martínez-Ramón, J. Requena-Carrión, J. L. Rojo-Álvarez, “Learning Non-linear Time-scales with Kernel γ –Filters”, Neurocomputing, Vol. 72, Issues 4-6, Jan. 2009, Pages 1324-1328.
• M. Martínez-Ramón, A. Gallardo-Antolín, J. Cid-Sueiro, G. L. Heileman, K-T. Yung, W. Zheng, C. Zhao, S. Posse, “Automatic Placement of Outer Volume Suppression Slices in MR Spectroscopic Imaging of the Human Brain”, Magnetic Resonance in Medicine, Vol. 63, No 3, pp. 592-600, Feb. 2010.
• A. Navia-Vázquez, M. Martínez-Ramón, L. E. García-Muñoz, C. G. Christodoulou, “Approximate Kernel Orthogonalization for Antenna Array Processing”, IEEE Transactions on Antennas and Propagation, Vol. 58. No 12, pp. 3942-3950, Dec. 2010.
• K. T. Yung, W. Zheng C. Zhao, A. van der Kouwe, M. Martínez-Ramón, S. Posse, Atlas-Based Automated Positioning of Outer Volume Suppression Slices in Short-TE 3D MR Spectroscopic Imaging of the Human Brain, Magnetic Resonance in Medicine, vol. 66, 2011.
• V. Gómez-Verdejo, M. Martínez-Ramón, J. Arenas-García, M. Lázaro-Gredilla, H. Molina-Bulla, “Support Vector Machines with Constraints for Sparsity in the Primal Parameters”, IEEE Transactions on Neural Networks, Vol. 220, No. 8, pp. 1269-1283, Aug. 2011.
• E. Castro, M. Martínez-Ramón, G. Pearlson, J. Sui, V. D. Calhoun, “Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to Schyzophrenia”, Neuroimage, Vol. 58, No.2, pp. 526-536, Sep. 2011.
• R. Solera-Ureña, A. Isabel García-Moral, C. Peláez-Moreno, M. Martínez-Ramón, F. Díaz-de-María, “Real-time Robust Automatic Speech Recognition Using Compact Support Vector Machines”, IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, No. 4, pp. 1347-1361, May, 2012.
• W. Zheng, E. S. Ackley, M. Martínez-Ramón, S. Posse, 'Spatially Aggregated Multi-Class Pattern Classification in Functional MRI using Optimally Selected Functional Brain Areas', Magnetic Resonance Imaging, Vol 31, No 2, pp.: 247-261, Feb, 2013.
• A. El Gonnouni, M. Martínez-Ramón, J. L. Rojo-Álvarez, G. Camps-Valls, A. R. Figueiras-Vidal, C. G. Christodoulou, 'A Support Vector Machine MUSIC Algorithm', IEEE Transactions on Antennas and Propagation, Vol. 60, No 10, pp.: 4901-4910, Oct, 2012.
• Carlos Figuera, Óscar Barquero-Pérez, José L. Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño-Fernández, ''Spectrally Adapted Mercer Kernels for Support Vector Nonuniform Interpolation''. Signal Processig, Elsevier, Vol. 94, pp.: 421-433, Jan. 2014.
• E. Castro, M. Martínez-Ramón., V. Gómez-Verdejo, K. A. Kiehl, V. D. Calhoun, A Multiple Kernel Learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia”, Neuroimage, Vol. 87, No. 15, pp. 1-17, Feb. 2014.
• José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, “A Unified SVM Framework for Signal Estimation”, Digital Signal Processing, Elsevier. Vol.26, pp. 1-20. 2014.
• D. Tuia, J. Muñoz-Marí, J. Luis Rojo-Álvarez, M. Martínez-Ramón, and G. Camps-Valls, “Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces”, IEEE Transactions on Neural Networks. Vol. 25, No. 7, pp. 1413-1419, July 2014.
• E. Parrado-Hernández, V. Gómez-Verdejo, M. Martínez-Ramón, J. Shawe-Taylor, P. Alonso, J. Pujol, J. M. Menchón, N. Cardoner, C. Soriano-Mas, “Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction”, Medical Image Analysis, Vol. 18, No 3., pp. 435-448, April 2014.
• S. Salcedo-Sanz, J. L. Rojo-Álvarez, G. Camps-Valls and M. Martínez-Ramón, “Support Vector Machines in Engineering: an overview” WIRES Data Mining and Knowledge Discovery, Wiley, Vol. 4, pp. 234-267, April, 2014.

References: V. 
 V. 
 V. 
 V. 
 V. 
 V.