2009 | ||
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40 | EE | Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen: K nearest neighbours with mutual information for simultaneous classification and missing data imputation. Neurocomputing 72(7-9): 1483-1493 (2009) |
2008 | ||
39 | EE | Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen: K-nearest neighbours based on mutual information for incomplete data classification. ESANN 2008: 37-42 |
38 | EE | Soufiane El Jelali, Abdelouahid Lyhyaoui, Aníbal R. Figueiras-Vidal: An emphasized target smoothing procedure to improve MLP classifiers performance. ESANN 2008: 499-504 |
37 | EE | Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal: A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. IEEE Transactions on Neural Networks 19(1): 3-17 (2008) |
2007 | ||
36 | EE | Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal: A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. IJCNN 2007: 1464-1469 |
35 | EE | Jaisiel Madrid-Sánchez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal: A Single Layer Perceptron Approach to Selective Multi-task Learning. IWINAC (1) 2007: 272-281 |
34 | EE | Pedro J. García-Laencina, Jesús Serrano-García, Aníbal R. Figueiras-Vidal, José-Luis Sancho-Gómez: Multi-task Neural Networks for Dealing with Missing Inputs. IWINAC (1) 2007: 282-291 |
33 | EE | Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal: Fast evaluation of neural networks via confidence rating. Neurocomputing 70(16-18): 2775-2782 (2007) |
2006 | ||
32 | Miguel Lázaro-Gredilla, Jaisiel Madrid-Sánchez, Aníbal R. Figueiras-Vidal: A new cost function to build MLPs by means of regularized boosting. Computational Intelligence 2006: 162-167 | |
31 | EE | Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal: Designing neural network committees by combining boosting ensembles. ESANN 2006: 419-424 |
30 | EE | Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal: Pattern Classification with Missing Values using Multitask Learning. IJCNN 2006: 3594-3601 |
29 | EE | 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) |
28 | EE | Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ali H. Sayed: Mean-square performance of a convex combination of two adaptive filters. IEEE Transactions on Signal Processing 54(3): 1078-1090 (2006) |
27 | EE | Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal: Boosting by weighting critical and erroneous samples. Neurocomputing 69(7-9): 679-685 (2006) |
26 | EE | 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) |
2005 | ||
25 | EE | Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal: An On-line Fisher Discriminant. ESANN 2005: 175-180 |
24 | EE | Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal: Boosting by weighting boundary and erroneous samples. ESANN 2005: 85-90 |
23 | EE | Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez: Exploiting Multitask Learning Schemes Using Private Subnetworks. IWANN 2005: 233-240 |
22 | EE | Jerónimo Arenas-García, Vanessa Gómez-Verdejo, S. Muñoz-Romero, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal: Fast Classification with Neural Networks via Confidence Rating. IWANN 2005: 622-629 |
21 | EE | 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) |
2004 | ||
20 | EE | 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) |
2003 | ||
19 | EE | Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Amanda J. C. Sharkey: The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns. Multiple Classifier Systems 2003: 45-54 |
18 | EE | E. 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) |
2002 | ||
17 | EE | 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 |
16 | 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 | |
15 | EE | José Luis Rojo-Álvarez, Arcadio García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Support Vector Robust Algorithms for Non-parametric Spectral Analysis. ICANN 2002: 1100-1105 |
14 | EE | José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez: Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. ICANN 2002: 1106-1111 |
13 | EE | Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Multi-dimensional Function Approximation and Regression Estimation. ICANN 2002: 757-762 |
2001 | ||
12 | EE | Armando Malanda-Trigueros, Fernando Calleja-Garde, Aníbal R. Figueiras-Vidal: A genetic algorithm for noisy channel color quantization design. ICIP (1) 2001: 898-901 |
2000 | ||
11 | Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Efficient Block Training of Multilayer Perceptrons. Neural Computation 12(6): 1429-1447 (2000) | |
10 | EE | José-Luis Sancho, William E. Pierson, Batu Ulug, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt: Class separability estimation and incremental learning using boundary methods. Neurocomputing 35(1-4): 3-26 (2000) |
9 | EE | Jesús Cid-Sueiro, Luis M. San-José-Revuelta, Aníbal R. Figueiras-Vidal: Soft-decision equalizers for in-service error rate monitoring. Signal Processing 80(4): 741-744 (2000) |
1999 | ||
8 | Itziar G. Alonso-González, Carlos M. Travieso-González, Miguel Angel Ferrer-Ballester, Aníbal R. Figueiras-Vidal: Improving a HMM Speech Recognizer with a Polynomial GMDH Neural Network Postprocessor. SIP 1999: 279-283 | |
7 | EE | Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal: Cost functions to estimate a posteriori probabilities in multiclass problems. IEEE Transactions on Neural Networks 10(3): 645-656 (1999) |
6 | EE | Abdelouahid Lyhyaoui, Manel Martinez, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal: Sample selection via clustering to construct support vector-like classifiers. IEEE Transactions on Neural Networks 10(6): 1474-1481 (1999) |
5 | EE | Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal: Total least squares for block training of neural networks. Neurocomputing 25(1-3): 213-217 (1999) |
1998 | ||
4 | EE | Francisco J. González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Generalizing CMAC architecture and training. IEEE Transactions on Neural Networks 9(6): 1509-1514 (1998) |
3 | EE | Francisco J. González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Fourier analysis of the generalized CMAC neural network. Neural Networks 11(3): 391-396 (1998) |
1993 | ||
2 | Carlos Pantaleón, Aníbal R. Figueiras-Vidal: Nonlinear Time Series Modeling by Competitive Segmentation of State Space. IWANN 1993: 525-530 | |
1 | Jesús Cid-Sueiro, Luis Weruaga-Prieto, Aníbal R. Figueiras-Vidal: Optimal Blind Equalization of Gaussian Channels. IWANN 1993: 605-610 |