Pedro J. García-Laencina

Publication Activity (10 Years)

Years Active: 2005-2018
Publications (10 Years): 4

Top Topics

Automatic Selection

Breast Cancer Patients

Brain Computer Interface

Missing Data Imputation

Top Venues

Expert Syst. Appl.

Inf. Technol. Control.

Int. J. Bifurc. Chaos

Int. J. Comput. Intell. Syst.

Publications

Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina
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. 11 (1) (2018)
Pedro J. García-Laencina, Pedro Henriques Abreu, Miguel Henriques Abreu, Noémia Afonoso
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values. Comput. Biol. Medicine 59 (2015)
Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients. J. Biomed. Informatics 58 (2015)
Germán Rodríguez-Bermúdez, Miguel Ángel Sánchez Granero, Pedro J. García-Laencina, Manuel Fernández-Martínez, José Serna, Joaquín Roca-Dorda
Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems. Int. J. Bifurc. Chaos 25 (14) (2015)
Pedro J. García-Laencina, Germán Rodríguez-Bermúdez, Joaquín Roca-Dorda
Exploring dimensionality reduction of EEG features in motor imagery task classification. Expert Syst. Appl. 41 (11) (2014)
Pedro J. García-Laencina
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines. Inf. Technol. Control. 42 (1) (2013)
Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca-Dorda
Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces. Int. J. Neural Syst. 23 (4) (2013)
Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
Neural architecture design based on extreme learning machine. Neural Networks 48 (2013)
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
Classifying patterns with missing values using Multi-Task Learning perceptrons. Expert Syst. Appl. 40 (4) (2013)
Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca-González, Joaquín Roca-Dorda
Efficient feature selection and linear discrimination of EEG signals. Neurocomputing 115 (2013)
Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
WIMP: Web server tool for missing data imputation. Comput. Methods Programs Biomed. 108 (3) (2012)
José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif. Intell. Medicine 50 (2) (2010)
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
Pattern classification with missing data: a review. Neural Comput. Appl. 19 (2) (2010)
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) (2009)
José-Luis Sancho-Gómez, Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal
Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron. Intell. Autom. Soft Comput. 15 (4) (2009)
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)
Jesús Serrano-García, Pedro J. García-Laencina, Jorge Larrey-Ruiz, José-Luis Sancho-Gómez
A Support Vector Method for Estimating Joint Density of Medical Images. IWINAC (2) (2007)
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)
Santiago González-Benítez, Rafael Verdú, Rafael Berenguer, Pedro J. García-Laencina
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles. IWINAC (2) (2007)
Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal
Pattern Classification with Missing Values using Multitask Learning. IJCNN (2006)
Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez
Exploiting Multitask Learning Schemes Using Private Subnetworks. IWANN (2005)