Pedro J. García-Laencina

21 papers B 2Misc 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2018 J jnl
Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
Int. J. Comput. Intell. Syst.
Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina
2015 J jnl
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.
J. Biomed. Informatics
Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho
2015 J jnl
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values.
Comput. Biol. Medicine
Pedro J. García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, Noémia Afonoso
2015 J jnl
Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems.
Int. J. Bifurc. Chaos
Germán Rodríguez-Bermúdez, Miguel Ángel Sánchez Granero, Pedro J. García-Laencina, Manuel Fernández-Martínez, José Serna, Joaquín Roca-Dorda
2014 J jnl
Exploring dimensionality reduction of EEG features in motor imagery task classification.
Expert Syst. Appl.
Pedro J. García-Laencina, Germán Rodríguez-Bermúdez, Joaquín Roca-Dorda
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
Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces.
Int. J. Neural Syst.
Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca-Dorda
2013 J jnl
Efficient feature selection and linear discrimination of EEG signals.
Neurocomputing
Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca-González, Joaquín Roca-Dorda
2013 J jnl
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines.
Inf. Technol. Control.
Pedro J. García-Laencina
2013 J jnl
Neural architecture design based on extreme learning machine.
Neural Networks
Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
2012 J jnl
WIMP: Web server tool for missing data imputation.
Comput. Methods Programs Biomed.
Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
2010 J jnl
Missing data imputation using statistical and machine learning methods in a real breast cancer problem.
Artif. Intell. Medicine
José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
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
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
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 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
2007 — conf
A Support Vector Method for Estimating Joint Density of Medical Images.
IWINAC (2)
Jesús Serrano-García, Pedro J. García-Laencina, Jorge Larrey-Ruiz, José-Luis Sancho-Gómez
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
2007 — conf
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles.
IWINAC (2)
Santiago González-Benítez, Rafael Verdú, Rafael Berenguer, Pedro J. García-Laencina
2006 B conf
Pattern Classification with Missing Values using Multitask Learning.
IJCNN
Pedro J. García-Laencina, José-Luis Sancho-Gómez, 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