Aníbal R. Figueiras-Vidal

157 papers A 1B 15C 6Misc 18Journal 83Unranked 34
YearRankTypeTitle / Venue / Authors
2023 J jnl
Imbalance example-dependent cost classification: A Bayesian based method.
Expert Syst. Appl.
Javier Mediavilla-Relaño, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2023 J jnl
Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost.
Pattern Recognit.
Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2023 J jnl
Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles.
Pattern Recognit.
Aitor Gutiérrez-López, Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal
2022 — conf
Double-Layer Stacked Denoising Autoencoders for Regression.
IWINAC (1)
María-Elena Fernández-García, Antonio Ros-Ros, Eloy Hontoria Hernández, Aníbal R. Figueiras-Vidal, José-Luis Sancho-Gómez
2021 J jnl
A Bayes Risk Minimization Machine for Example-Dependent Cost Classification.
IEEE Trans. Cybern.
Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2021 J jnl
Complete Stacked Denoising Auto-Encoders for Regression.
Neural Process. Lett.
María-Elena Fernández-García, José-Luis Sancho-Gómez, Antonio Ros-Ros, Aníbal R. Figueiras-Vidal
2021 J jnl
Complete autoencoders for classification with missing values.
Neural Comput. Appl.
Adrián Sánchez-Morales, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2021 J jnl
On the design of Bayesian principled algorithms for imbalanced classification.
Knowl. Based Syst.
Alexander Benítez-Buenache, Lorena Álvarez-Pérez, Aníbal R. Figueiras-Vidal
2020 J jnl
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.
CoRR
Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera
2020 J jnl
Asymmetric label switching resists binary imbalance.
Inf. Fusion
Aitor Gutiérrez-López, Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal
2020 J jnl
Corrigendum to "Likelihood ratio equivalence and imbalanced binary classification" [Expert Systems with Applications, Volume 130 (2019), Pages 84-96].
Expert Syst. Appl.
Alexander Benítez-Buenache, Lorena Álvarez-Pérez, V. John Mathews, Aníbal R. Figueiras-Vidal
2020 J jnl
Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks.
Neurocomputing
Juan-Antonio Martínez-García, José-Luis Sancho-Gómez, Adrián Sánchez-Morales, Aníbal R. Figueiras-Vidal
2020 J jnl
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification.
Inf. Sci.
Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
2020 J jnl
Improving deep learning performance with missing values via deletion and compensation.
Neural Comput. Appl.
Adrián Sánchez-Morales, José-Luis Sancho-Gómez, Juan-Antonio Martínez-García, Aníbal R. Figueiras-Vidal
2020 J jnl
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal.
Inf. Fusion
Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera
2019 — conf
A Principled Two-Step Method for Example-Dependent Cost Binary Classification.
IWINAC (2)
Javier Mediavilla-Relaño, Aitor Gutiérrez-López, Marcelino Lázaro, Aníbal R. Figueiras-Vidal
2019 J jnl
Exploiting label information to improve auto-encoding based classifiers.
Neurocomputing
Adrián Sánchez-Morales, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2019 J jnl
Likelihood ratio equivalence and imbalanced binary classification.
Expert Syst. Appl.
Alexander Benítez-Buenache, Lorena Álvarez-Pérez, V. John Mathews, Aníbal R. Figueiras-Vidal
2019 — conf
Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant.
IWINAC (2)
María-Elena Fernández-García, Jorge Larrey-Ruiz, Antonio Ros-Ros, Aníbal R. Figueiras-Vidal, José-Luis Sancho-Gómez
2019 J jnl
On improving CNNs performance: The case of MNIST.
Inf. Fusion
Ricardo F. Alvear-Sandoval, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2018 B conf
Deep MLPs for Imbalanced Classification.
IJCNN
David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro
2018 J jnl
Linear discriminants described by disjoint tangent configurations.
Neurocomputing
José-Luis Sancho-Gómez, Juan-Antonio Martínez-García, Stanley C. Ahalt, Aníbal R. Figueiras-Vidal
2018 J jnl
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement - a correction.
Inf. Fusion
Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal
2018 J jnl
On building ensembles of stacked denoising auto-encoding classifiers and their further improvement.
Inf. Fusion
Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal
2018 J jnl
Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows.
Pattern Recognit.
Marcelino Lázaro, Monson H. Hayes, Aníbal R. Figueiras-Vidal
2017 J jnl
Boosting ensembles with controlled emphasis intensity.
Pattern Recognit. Lett.
Anas Ahachad, Lorena Álvarez-Pérez, Aníbal R. Figueiras-Vidal
2017 J jnl
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.
Pattern Recognit.
Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera
2017 — conf
Generalized CMAC adaptive ensembles for concept-drifting data streams.
EUSIPCO
Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal
2017 — conf
Pre-emphasizing Binarized Ensembles to Improve Classification Performance.
IWANN (1)
Lorena Álvarez-Pérez, Anas Ahachad, Aníbal R. Figueiras-Vidal
2017 — conf
Values Deletion to Improve Deep Imputation Processes.
IWINAC (2)
Adrián Sánchez-Morales, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2016 B conf
An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers.
ESANN
Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal
2016 — conf
Experiments in combining boosting and deep stacked networks.
MLSP
Manuel Montoya-Catala, Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal
2016 J jnl
Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2015 J jnl
A new boosting design of Support Vector Machine classifiers.
Inf. Fusion
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2015 C conf
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks.
EANN
Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal
2015 — conf
Does diversity improve deep learning?
EUSIPCO
R. F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal
2015 J jnl
Neighborhood Guided Smoothed Emphasis for Real Adaboost Ensembles.
Neural Process. Lett.
Anas Ahachad, Adil Omari, Aníbal R. Figueiras-Vidal
2015 J jnl
Post-aggregation of classifier ensembles.
Inf. Fusion
Adil Omari, Aníbal R. Figueiras-Vidal
2014 J jnl
Divisive Gaussian Processes for Nonstationary Regression.
IEEE Trans. Neural Networks Learn. Syst.
Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2014 — conf
Laplace approximation with Gaussian Processes for volatility forecasting.
CIP
Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2013 J jnl
Classifying patterns with missing values using Multi-Task Learning perceptrons.
Expert Syst. Appl.
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2013 J jnl
Enhanced Adaptive Volterra Filtering by Automatic Attenuation of Memory Regions and Its Application to Acoustic Echo Cancellation.
IEEE Trans. Signal Process.
Luis Antonio Azpicueta-Ruiz, Marcus Zeller, Aníbal R. Figueiras-Vidal, Walter Kellermann, Jerónimo Arenas-García
2013 J jnl
Feature Combiners With Gate-Generated Weights for Classification.
IEEE Trans. Neural Networks Learn. Syst.
Adil Omari, Aníbal R. Figueiras-Vidal
2013 — conf
Smoothed Emphasis for Boosting Ensembles.
IWANN (1)
Anas Ahachad, Adil Omari, Aníbal R. Figueiras-Vidal
2012 B conf
An Exploration of Research Directions in Machine Ensemble Theory and Applications.
ESANN
Aníbal R. Figueiras-Vidal, Lior Rokach
2012 J jnl
Real AdaBoost With Gate Controlled Fusion.
IEEE Trans. Neural Networks Learn. Syst.
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2011 — conf
A block-based approach to adaptively bias the weights of adaptive filters.
MLSP
Luis Antonio Azpicueta-Ruiz, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García
2011 J jnl
Adaptive Combination of Volterra Kernels and Its Application to Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process.
Luis Antonio Azpicueta-Ruiz, Marcus Zeller, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García, Walter Kellermann
2011 — conf
Heteroscedastic Gaussian process regression using expectation propagation.
MLSP
Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2010 B conf
A pseudoregression formulation of emphasized soft target procedures for classification problems.
ESANN
Soufiane El Jelali, Abdelouahid Lyhyaoui, Aníbal R. Figueiras-Vidal
2010 J jnl
Adaptively biasing the weights of adaptive filters.
IEEE Trans. Signal Process.
Miguel Lázaro-Gredilla, Luis Antonio Azpicueta-Ruiz, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García
2010 J jnl
Committees of Adaboost ensembles with modified emphasis functions.
Neurocomputing
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2010 B conf
Improving boosting performance with a local combination of learners.
IJCNN
Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2010 C conf
Least-squares adaptation of affine combinations of multiple adaptive filters.
ISCAS
Luis Antonio Azpicueta-Ruiz, Marcus Zeller, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García
2010 J jnl
Marginalized neural network mixtures for large-scale regression.
IEEE Trans. Neural Networks
Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2010 J jnl
Pattern classification with missing data: a review.
Neural Comput. Appl.
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2010 J jnl
Sparse Spectrum Gaussian Process Regression.
J. Mach. Learn. Res.
Miguel Lázaro-Gredilla, Joaquin Quiñonero Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal
2009 J jnl
Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation.
IEEE Trans. Speech Audio Process.
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2009 J jnl
Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron.
Intell. Autom. Soft Comput.
José-Luis Sancho-Gómez, Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal
2009 J jnl
Designing Model Based Classifiers by Emphasizing Soft Targets.
Fundam. Informaticae
Soufiane El Jelali, Abdelouahid Lyhyaoui, Aníbal R. Figueiras-Vidal
2009 J jnl
Improving performance of neural classifiers via selective reduction of target levels.
Neurocomputing
I. Mora-Jiménez, Aníbal R. Figueiras-Vidal
2009 — conf
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features.
NIPS
Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2009 J jnl
K nearest neighbours with mutual information for simultaneous classification and missing data imputation.
Neurocomputing
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen
2008 J jnl
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.
IEEE Trans. Neural Networks
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2008 Misc conf
A normalized adaptation scheme for the convex combination of two adaptive filters.
ICASSP
Luis Antonio Azpicueta-Ruiz, Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García
2008 B conf
An emphasized target smoothing procedure to improve MLP classifiers performance.
ESANN
Soufiane El Jelali, Abdelouahid Lyhyaoui, Aníbal R. Figueiras-Vidal
2008 — conf
Applying emphasized soft targets for Gaussian Mixture Model based classification.
IMCSIT
Soufiane El Jelali, Abdelouahid Lyhyaoui, Aníbal R. Figueiras-Vidal
2008 J jnl
Emerging Machine Learning Techniques in Signal Processing.
EURASIP J. Adv. Signal Process.
Theodoros Evgeniou, Aníbal R. Figueiras-Vidal, Sergios Theodoridis
2008 B conf
K-nearest neighbours based on mutual information for incomplete data classification.
ESANN
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen
2008 J jnl
Sparse Deconvolution Using Support Vector Machines.
EURASIP J. Adv. Signal Process.
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz, Aníbal R. Figueiras-Vidal
2007 B conf
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class.
IJCNN
Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2007 — conf
A Single Layer Perceptron Approach to Selective Multi-task Learning.
IWINAC (1)
Jaisiel Madrid-Sánchez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
2007 J jnl
Fast evaluation of neural networks via confidence rating.
Neurocomputing
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2007 — conf
Multi-task Neural Networks for Dealing with Missing Inputs.
IWINAC (1)
Pedro J. García-Laencina, Jesús Serrano-García, Aníbal R. Figueiras-Vidal, José-Luis Sancho-Gómez
2006 — conf
A new cost function to build MLPs by means of regularized boosting.
Computational Intelligence
Miguel Lázaro-Gredilla, Jaisiel Madrid-Sánchez, Aníbal R. Figueiras-Vidal
2006 J jnl
Boosting by weighting critical and erroneous samples.
Neurocomputing
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2006 B conf
Designing neural network committees by combining boosting ensembles.
ESANN
Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2006 — conf
Improved Blind Equalization via Adaptive Combination of Constant Modulus Algorithms.
ICASSP (3)
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2006 J jnl
Mean-square performance of a convex combination of two adaptive filters.
IEEE Trans. Signal Process.
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ali H. Sayed
2006 B conf
Pattern Classification with Missing Values using Multitask Learning.
IJCNN
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
2006 J jnl
Plant identification via adaptive combination of transversal filters.
Signal Process.
Jerónimo Arenas-García, Manel Martínez-Ramón, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2006 J jnl
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks
Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
2005 B conf
An On-line Fisher Discriminant.
ESANN
Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2005 B conf
Boosting by weighting boundary and erroneous samples.
ESANN
Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
2005 B conf
Designing RBF classifiers for weighted boosting.
IJCNN
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
2005 Misc conf
Exploiting Multitask Learning Schemes Using Private Subnetworks.
IWANN
Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez
2005 Misc conf
Fast Classification with Neural Networks via Confidence Rating.
IWANN
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Sergio Muñoz-Romero, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
2005 J jnl
New algorithms for improved adaptive convex combination of LMS transversal filters.
IEEE Trans. Instrum. Meas.
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
2005 — conf
Steady state performance of convex combinations of adaptive filters.
ICASSP (4)
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ali H. Sayed
2005 J jnl
Support vector machines framework for linear signal processing.
Signal Process.
José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004 J jnl
Adaptively combined LMS and logistic equalizers.
IEEE Signal Process. Lett.
Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004 J jnl
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
J. VLSI Signal Process.
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2004 J jnl
Local estimation of posterior class probabilities to minimize classification errors.
IEEE Trans. Neural Networks
Alicia Guerrero-Curieses, Jesús Cid-Sueiro, Rocío Alaíz-Rodríguez, Aníbal R. Figueiras-Vidal
2004 J jnl
Support vector method for robust ARMA system identification.
IEEE Trans. Signal Process.
José Luis Rojo-Álvarez, Luis Martínez-Ramón, Mario de Prado-Cumplido, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2003 J jnl
A mixed neural-genetic algorithm for the broadcast scheduling problem.
IEEE Trans. Wirel. Commun.
Sancho Salcedo-Sanz, Carlos Bousoño-Calzón, Aníbal R. Figueiras-Vidal
2003 J jnl
A robust support vector algorithm for nonparametric spectral analysis.
IEEE Signal Process. Lett.
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Ana García Armada, Antonio Artés-Rodríguez
2003 J jnl
Empirical risk minimization for support vector classifiers.
IEEE Trans. Neural Networks
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2003 J jnl
Growing support vector classifiers with controlled complexity.
Pattern Recognit.
Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez
2003 — conf
Separate-variable adaptive combination of LMS adaptive filters for plant identification.
NNSP
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal
2003 — conf
The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns.
Multiple Classifier Systems
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Amanda J. C. Sharkey
2002 C conf
A Trainable Classifier via k Nearest Neighbors.
HIS
I. Mora-Jiménez, Abdelouahid Lyhyaoui, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2002 — conf
An adaptive combination of adaptive filters for plant identification.
DSP
Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2002 A conf
I-Gaia: an information processing layer for the DIET platform.
AAMAS
Ascensión Gallardo-Antolín, Ángel Navia-Vázquez, Harold Y. Molina-Bulla, A. B. Rodríguez-González, Francisco J. Valverde-Albacete, Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal, T. Koutris, C. Xirouhaki, Manolis Koubarakis
2002 C conf
Multi-dimensional Function Approximation and Regression Estimation.
ICANN
Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2002 C conf
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.
ICANN
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez
2002 C conf
Support Vector Robust Algorithms for Non-parametric Spectral Analysis.
ICANN
José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2001 — conf
A genetic algorithm for noisy channel color quantization design.
ICIP (1)
Armando Malanda-Trigueros, Fernando Calleja-Garde, Aníbal R. Figueiras-Vidal
2001 J jnl
On the structure of strict sense Bayesian cost functions and its applications.
IEEE Trans. Neural Networks
Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal
2001 J jnl
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.
IEEE Trans. Neural Networks
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2000 — conf
Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.
EUSIPCO
Manel Martínez-Ramón, José-Luis Sancho-Gómez, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2000 J jnl
Class separability estimation and incremental learning using boundary methods.
Neurocomputing
José-Luis Sancho, William E. Pierson, Batu Ulug, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt
2000 J jnl
Efficient Block Training of Multilayer Perceptrons.
Neural Comput.
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2000 — conf
Improving generalization ability of HMM/NNs based classifiers.
EUSIPCO
Miguel A. Ferrer, Itziar G. Alonso-González, Carlos Manuel Travieso-González, Aníbal R. Figueiras-Vidal
2000 J jnl
Soft-decision equalizers for in-service error rate monitoring.
Signal Process.
Jesús Cid-Sueiro, Luis M. San-José-Revuelta, Aníbal R. Figueiras-Vidal
1999 J jnl
Cost functions to estimate a posteriori probabilities in multiclass problems.
IEEE Trans. Neural Networks
Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal
1999 B conf
Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks.
IJCNN
Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Hongmei Ni, Bo Wang, Aníbal R. Figueiras-Vidal
1999 — conf
Improving a HMM Speech Recognizer with a Polynomial GMDH Neural Network Postprocessor.
SIP
Itziar G. Alonso-González, Carlos Manuel Travieso-González, Miguel Angel Ferrer-Ballester, Aníbal R. Figueiras-Vidal
1999 B conf
Neural networks to estimate ML multi-class constrained conditional probability density functions.
IJCNN
Juan Ignacio Arribas, Jesús Cid-Sueiro, Tülay Adali, Aníbal R. Figueiras-Vidal
1999 J jnl
Sample selection via clustering to construct support vector-like classifiers.
IEEE Trans. Neural Networks
Abdelouahid Lyhyaoui, Manel Martínez-Ramón, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal
1999 J jnl
Total least squares for block training of neural networks.
Neurocomputing
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
1998 — conf
A refinement algorithm for vector quantization codebook design.
ICECS
Armando Malanda-Trigueros, Aníbal R. Figueiras-Vidal
1998 J jnl
Fourier analysis of the generalized CMAC neural network.
Neural Networks
Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
1998 Misc conf
GGMAC-based equalizer for nonlinear channels.
ICASSP
Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
1998 J jnl
Generalizing CMAC architecture and training.
IEEE Trans. Neural Networks
Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
1998 — conf
Non-linear equalizers that estimate error rates during reception.
EUSIPCO
Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal
1997 J jnl
A bank of Hopfield neural networks for the shortest path problem.
Signal Process.
Carlos Bousoño-Calzón, Aníbal R. Figueiras-Vidal
1996 — conf
A fast LUT+CMAC data predistorter.
EUSIPCO
Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
1996 — conf
Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.
EUSIPCO
Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Jesús Cid-Sueiro, Manel Martínez-Ramón
1996 — conf
Adaptive+darwinian approach for the estimation and tracking of time delays.
EUSIPCO
Armando Malanda, Aníbal R. Figueiras-Vidal, G. Cain
1996 J jnl
Competitive local linear modeling.
Signal Process.
Carlos J. Pantaleón-Prieto, Ignacio Santamaría-Caballero, Aníbal R. Figueiras-Vidal
1996 J jnl
Wiener extrapolation of sequences and the expectation-maximization algorithm.
IEEE Signal Process. Lett.
Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
1995 J jnl
An adaptive beamforming technique based on cyclostationary signal properties.
IEEE Trans. Signal Process.
Luis Castedo, Aníbal R. Figueiras-Vidal
1995 J jnl
Efficient adaptive vector quantization of LPC parameters.
IEEE Trans. Speech Audio Process.
Miguel Angel Ferrer-Ballester, Aníbal R. Figueiras-Vidal
1994 — conf
Improving CELP voice quality by projection similarity measure.
ICSLP
Miguel Angel Ferrer-Ballester, Aníbal R. Figueiras-Vidal
1994 — conf
Linearly-constrained adaptive beamforming using cyclostationary signal properties.
ICASSP (4)
Luis Castedo, Ching-Yih Tseng, Aníbal R. Figueiras-Vidal, Lloyd J. Griffiths
1994 J jnl
Recurrent radial basis function networks for optimal symbol-by-symbol equalization.
Signal Process.
Jesús Cid-Sueiro, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
1993 — conf
Measuring similarities among speakers by means of neural networks.
EUROSPEECH
Juan Antonio Hernández-Méndez, Aníbal R. Figueiras-Vidal
1993 Misc conf
Nonlinear Time Series Modeling by Competitive Segmentation of State Space.
IWANN
Carlos Pantaleón, Aníbal R. Figueiras-Vidal
1993 Misc conf
Optimal Blind Equalization of Gaussian Channels.
IWANN
Jesús Cid-Sueiro, Luis Weruaga-Prieto, Aníbal R. Figueiras-Vidal
1992 J jnl
Correction to 'Comments on 'A curiosum concerning discrete time convolution', ' plus a remark.
IEEE Trans. Signal Process.
Aníbal R. Figueiras-Vidal
1992 J jnl
Guest Editorial.
Eur. Trans. Telecommun.
Vito Cappellini, Aníbal R. Figueiras-Vidal
1992 Misc conf
Optimal variable step LMS look-up-table plus transversal filter nonlinear echo cancellers.
ICASSP
Luis Weruaga-Prieto, Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal
1991 J jnl
Comments on 'A curiosum concerning discrete time convolution' [by E.B. Hall and G.L. Wise].
IEEE Trans. Signal Process.
Aníbal R. Figueiras-Vidal
1991 Misc conf
Phase constraining algorithms for data blind equalization.
ICASSP
Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Juan Antonio A. Hernández-Méndez
1990 J jnl
Adaptive iterative algorithms for spiky deconvolution.
IEEE Trans. Acoust. Speech Signal Process.
Aníbal R. Figueiras-Vidal, Domingo Docampo-Amoedo, José R. Casar Corredera, Antonio Artés-Rodríguez
1990 Misc conf
On using the adaptive delay filter in sparse identification and extensions to sparse deconvolution and sinusoid detection.
ICASSP
Aníbal R. Figueiras-Vidal, Domingo Docampo-Amoedo, José R. Casar Corredera, Antonio Artés-Rodríguez
1989 Misc conf
A deconvolution approach to harmonic signal extrapolation.
ICASSP
Domingo Docampo-Amoedo, Aníbal R. Figueiras-Vidal
1988 Misc conf
Non-quadratic recursive algorithms (RLK) for transversal plant identification.
ICASSP
Aníbal R. Figueiras-Vidal, José Manuel Páez-Borrallo, Francisco Lorenz Speranzini
1987 Misc conf
A new class of high-order Yule-Walker estimates.
ICASSP
L. Vergara-Domínguez, Aníbal R. Figueiras-Vidal
1987 Misc conf
Analysis of L
ICASSP
José Manuel Páez-Borrallo, Aníbal R. Figueiras-Vidal, Luis Vergara-Dominguez
1987 J jnl
On using cooccurrence matrices to detect periodicities.
IEEE Trans. Acoust. Speech Signal Process.
Aníbal R. Figueiras-Vidal, José Manuel Páez-Borrallo, Ramón García Gómez
1986 Misc conf
Envelope constrained multipulse speech coding.
ICASSP
Ramón García-Gómez, Jesús M. Alcázar-Fernández, Aníbal R. Figueiras-Vidal
1986 Misc conf
On the behaviour of reduced complexity code-excited linear prediction (CELP).
ICASSP
Luis A. Hernández Gómez, Francisco Javier Casajús-Quirós, Aníbal R. Figueiras-Vidal, Ramón García-Gómez
1985 Misc conf
Data echo nonlinear cancellation.
ICASSP
José R. Casar Corredera, Mariano García Otero, Aníbal R. Figueiras-Vidal
1985 Misc conf
L
ICASSP
Aníbal R. Figueiras-Vidal, José R. Casar Corredera, Ramón García-Gómez, José Manuel Páez-Borrallo
1985 Misc conf
On absolute value minimization approaches to tauberian modelling.
ICASSP
Jesús M. Alcázar-Fernández, José R. Casar Corredera, Aníbal R. Figueiras-Vidal
1980 J jnl
Comments on and Extensions of Wolf's Signal-to-Channel Noise Formulas for Delta-Modulated Systems.
IEEE Trans. Commun.
Aníbal R. Figueiras-Vidal, Jose B. Marino-Acebal, Miguel A. Lagunas-Hernandez