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Publications of Author

1. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, C. Navarro, Antonio Tazón, T. Fernández
   A Modular Neural Network for Global Modeling of Microwave Transistors. [Citation Graph (0, 0)][DBLP]
   IJCNN (4), 2000, pp:389-394 [Conf]
   
2. Angel Mediavilla, Antonio Tazón, J. A. Pereda, Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
   Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization. [Citation Graph (0, 0)][DBLP]
   IJCNN (4), 2000, pp:395-402 [Conf]
   
3. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
   Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks. [Citation Graph (0, 0)][DBLP]
   IWANN (1), 2001, pp:347-354 [Conf]
   
4. Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
   Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2005, v:69, n:1-3, pp:42-61 [Journal]
   
5. Ignacio Santamaría, Marcelino Lázaro, Carlos Pantaleón, Jose A. García, Antonio Tazón, Angel Mediavilla
   A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:25, n:1-3, pp:1-18 [Journal]
   
6. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón
   A new EM-based training algorithm for RBF networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2003, v:16, n:1, pp:69-77 [Journal]
   
7. Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Luis Vielva
   A regularized technique for the simultaneous reconstruction of a function and its derivatives with application to nonlinear transistor modeling. [Citation Graph (0, 0)][DBLP]
   Signal Processing, 2003, v:83, n:9, pp:1859-1870 [Journal]
   
8. 
   Real-time tracking and identification on an intelligent IR-based surveillance system. [Citation Graph (, )][DBLP]
   
   
9. 
   A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. [Citation Graph (, )][DBLP]