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Aníbal R. Figueiras-Vidal

Aníbal R. Figueiras-Vidal

D-Index & Metrics

Computer Science

D-Index
35
Citations
6005
World Ranking
11604
National Ranking
202

Overview

Aníbal R. Figueiras-Vidal is affiliated with Carlos III University of Madrid in Spain. Their research focuses primarily on Computer Science, specifically within the subfields of Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Statistics and Probability.

Their work includes multiple contributions to topics such as:

  • Imbalanced Data Classification Techniques
  • Machine Learning and Data Classification
  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Electricity Theft Detection Techniques
  • Advanced Statistical Methods and Models

Recent publications by Aníbal R. Figueiras-Vidal include:

  • MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal, 2020, Information Fusion
  • Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost, 2023, Pattern Recognition
  • Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification, 2020, Information Sciences
  • Complete autoencoders for classification with missing values, 2020, Neural Computing and Applications
  • Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles, 2022, Pattern Recognition

Frequent coauthors collaborating with Aníbal R. Figueiras-Vidal include:

  • José-Luis Sancho-Gómez
  • Marcelino Lázaro
  • Francisco Herrera
  • Lorena Álvarez-Pérez
  • Siham Tabik

They have published several papers in notable venues, such as:

  • Information Fusion
  • Pattern Recognition
  • Expert Systems with Applications
  • SSRN Electronic Journal
  • Neural Computing and Applications

Best Publications

  • Pattern classification with missing data: a review

    Pedro J. García-Laencina;José-Luis Sancho-Gómez;Aníbal R. Figueiras-Vidal

  • Mean-square performance of a convex combination of two adaptive filters

    J. Arenas-Garcia;A.R. Figueiras-Vidal;A.H. Sayed

  • Sparse Spectrum Gaussian Process Regression

    Miguel Lázaro-Gredilla;Joaquin Quiñonero-Candela;Carl Edward Rasmussen;Aníbal R. Figueiras-Vidal

  • K nearest neighbours with mutual information for simultaneous classification and missing data imputation

    Pedro J. García-Laencina;José-Luis Sancho-Gómez;Aníbal R. Figueiras-Vidal;Michel Verleysen

  • Support vector method for robust ARMA system identification

    J.L. Rojo-Alvarez;M. Martinez-Ramon;M. de Prado-Cumplido;A. Artes-Rodriguez

  • New algorithms for improved adaptive convex combination of LMS transversal filters

    J. Arenas-Garcia;V. Gomez-Verdejo;A.R. Figueiras-Vidal

  • Adaptive Combination of Volterra Kernels and Its Application to Nonlinear Acoustic Echo Cancellation

    Luis Antonio Azpicueta-Ruiz;Marcus Zeller;Aníbal Ramón Figueiras-Vidal;Jerónimo Arenas-Garcia

  • Generalizing CMAC architecture and training

    F.J. Gonzalez-Serrano;A.R. Figueiras-Vidal;A. Artes-Rodriguez

  • A mixed neural-genetic algorithm for the broadcast scheduling problem

    S. Salcedo-Sanz;C. Bousono-Calzon;A.R. Figueiras-Vidal

  • A normalized adaptation scheme for the convex combination of two adaptive filters

    L.A. Azpicueta-Ruiz;A.R. Figueiras-Vidal;J. Arenas-Garcia

  • Support Vector Machines for Nonlinear Kernel ARMA System Identification

    M. Martinez-Ramon;J.L. Rojo-Alvarez;G. Camps-Valls;J. Munoz-Mari

  • Plant identification via adaptive combination of transversal filters

    Jerónimo Arenas-García;Manel Martínez-Ramón;Ángel Navia-Vázquez;Aníbal R. Figueiras-Vidal

  • Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation

    J. Arenas-Garcia;A.R. Figueiras-Vidal

  • An adaptive combination of adaptive filters for plant identification

    M. Martinez-Ramon;J. Arenas-Garcia;A. Navia-Vazquez;A.R. Figueiras-Vidal

  • Inter-domain Gaussian Processes for Sparse Inference using Inducing Features

    Anibal Figueiras-vidal;Miguel Lázaro-gredilla

  • Weighted least squares training of support vector classifiers leading to compact and adaptive schemes

    A. Navia-Vazquez;F. Perez-Cruz;A. Artes-Rodriguez;A.R. Figueiras-Vidal

  • Sample selection via clustering to construct support vector-like classifiers

    A. Lyhyaoui;M. Martinez;I. Mora;M. Vaquez

  • Support vector machines framework for linear signal processing

    J. L. Rojo-Álvarez;G. Camps-Valls;M. Martínez-Ramón;E. Soria-Olivas

  • Cost functions to estimate a posteriori probabilities in multiclass problems

    J. Cid-Sueiro;J.I. Arribas;S. Urban-Munoz;A.R. Figueiras-Vidal

  • Agents in decentralised information ecosystems:the diet approach

    P Marrow;M Koubarakis;RH van Lengen;F Valverde-Albacete

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Michel Verleysen
Michel Verleysen Université Catholique de Louvain
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Christos G. Christodoulou
Christos G. Christodoulou University of New Mexico

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