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ORCIDPedro J. García-Laencina
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2010 – 2019
- 2018
[j15]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): 1278-1293 (2018)- 2017
- [d1]Miriam Seoane Santos, Pedro H. Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho:
HCC Survival. UCI Machine Learning Repository, 2017
- 2015
- [j14]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: 125-133 (2015) - [j13]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): 1540023:1-1540023:9 (2015) - [j12]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: 49-59 (2015) - 2014
- [j11]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): 5285-5295 (2014) - 2013
- [j10]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): 1333-1341 (2013) - [j9]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) - [j8]Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca-González, Joaquín Roca-Dorda:
Efficient feature selection and linear discrimination of EEG signals. Neurocomputing 115: 161-165 (2013) - [j7]Pedro J. García-Laencina:
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines. Inf. Technol. Control. 42(1): 86-93 (2013) - [j6]Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez:
Neural architecture design based on extreme learning machine. Neural Networks 48: 19-24 (2013) - 2012
- [j5]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): 1247-1254 (2012) - 2010
- [j4]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): 105-115 (2010) - [j3]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal:
Pattern classification with missing data: a review. Neural Comput. Appl. 19(2): 263-282 (2010)
2000 – 2009
- 2009
- [j2]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): 539-553 (2009) - [j1]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): 1483-1493 (2009) - 2008
- [c6]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: 37-42 - 2007
- [c5]Santiago González-Benítez, Rafael Verdú, Rafael Berenguer, Pedro J. García-Laencina:
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles. IWINAC (2) 2007: 152-161 - [c4]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: 162-170 - [c3]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: 282-291 - 2006
- [c2]Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal:
Pattern Classification with Missing Values using Multitask Learning. IJCNN 2006: 3594-3601 - 2005
- [c1]Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez:
Exploiting Multitask Learning Schemes Using Private Subnetworks. IWANN 2005: 233-240
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