Exploiting Multitask Learning Schemes Using Private Subnetworks. - Pedro J. García-Laencina; Aníbal R. Figueiras-Vidal; Jesús Serrano-García; José-Luis Sancho-Gómez (IWANN, 2005)

Pattern Classification with Missing Values using Multitask Learning. - Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal (IJCNN, 2006)

Multi-task Neural Networks for Dealing with Missing Inputs. - Pedro J. García-Laencina; Jesús Serrano-García; Aníbal R. Figueiras-Vidal; José-Luis Sancho-Gómez (IWINAC (1), 2007)

Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles. - Santiago González-Benítez; Rafael Verdú; Rafael Berenguer; Pedro J. García-Laencina (IWINAC (2), 2007)

A Support Vector Method for Estimating Joint Density of Medical Images. - Jesús Serrano-García; Pedro J. García-Laencina; Jorge Larrey-Ruiz; José-Luis Sancho-Gómez (IWINAC (2), 2007)

K-nearest neighbours based on mutual information for incomplete data classification. - Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal; Michel Verleysen (ESANN, 2008)

Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron. - José-Luis Sancho-Gómez; Pedro J. García-Laencina; Aníbal R. Figueiras-Vidal (Intell. Autom. Soft Comput., 2009)

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 (Neurocomputing, 2009)

Missing data imputation using statistical and machine learning methods in a real breast cancer problem. - José M. Jerez; Ignacio Molina; Pedro J. García-Laencina; Emilio Alba; Nuria Ribelles; Miguel Martín; Leonardo Franco (Artif. Intell. Medicine, 2010)

Pattern classification with missing data: a review. - Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal (Neural Comput. Appl., 2010)

WIMP: Web server tool for missing data imputation. - Daniel Urda; José Luis Subirats; Pedro J. García-Laencina; Leonardo Franco; José-Luis Sancho-Gómez; José Manuel Jerez (Comput. Methods Programs Biomed., 2012)

Classifying patterns with missing values using Multi-Task Learning perceptrons. - Pedro J. García-Laencina; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal (Expert Syst. Appl., 2013)

Efficient Automatic Selection and Combination of EEG Features in Least Squares Classifiers for Motor Imagery Brain-Computer Interfaces. - Germán Rodríguez-Bermúdez; Pedro J. García-Laencina; Joaquín Roca-Dorda (Int. J. Neural Syst., 2013)

Efficient feature selection and linear discrimination of EEG signals. - Germán Rodríguez-Bermúdez; Pedro J. García-Laencina; Joaquín Roca-González; Joaquín Roca-Dorda (Neurocomputing, 2013)

Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines. - Pedro J. García-Laencina (Inf. Technol. Control., 2013)

Neural architecture design based on extreme learning machine. - Andrés Bueno-Crespo; Pedro J. García-Laencina; José-Luis Sancho-Gómez (Neural Networks, 2013)

Exploring dimensionality reduction of EEG features in motor imagery task classification. - Pedro J. García-Laencina; Germán Rodríguez-Bermúdez; Joaquín Roca-Dorda (Expert Syst. Appl., 2014)

Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values. - Pedro J. García-Laencina; Pedro Henriques Abreu; Miguel Henriques Abreu; Noémia Afonoso (Comput. Biol. Medicine, 2015)

Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems. - Germán Rodríguez-Bermúdez; Miguel Ángel Sánchez Granero; Pedro J. García-Laencina; Manuel Fernández-Martínez; José Serna; Joaquín Roca-Dorda (Int. J. Bifurc. Chaos, 2015)

A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients. - Miriam Seoane Santos; Pedro Henriques Abreu; Pedro J. García-Laencina; Adélia Simão; Armando Carvalho (J. Biomed. Informatics, 2015)

HCC Survival. - Miriam Seoane Santos; Pedro H. Abreu; Pedro J. García-Laencina; Adélia Simão; Armando Carvalho (UCI Machine Learning Repository, 2017)

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about? - Miriam Seoane Santos; Pedro H. Abreu; Germán Rodríguez-Bermúdez; Pedro J. García-Laencina (Int. J. Comput. Intell. Syst., 2018)