Pedro J. García-Laencina
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?
1278-1293
2018
11
Int. J. Comput. Intell. Syst.
1
https://doi.org/10.2991/ijcis.11.1.95
db/journals/ijcisys/ijcisys11.html#SantosARG18
Miriam Seoane Santos
Pedro H. Abreu
Pedro J. García-Laencina
Adélia Simão
Armando Carvalho
HCC Survival.
2017
November
https://doi.org/10.24432/C5TS4S
UCI Machine Learning Repository
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.
125-133
2015
59
Comput. Biol. Medicine
https://doi.org/10.1016/j.compbiomed.2015.02.006
https://www.wikidata.org/entity/Q30901831
db/journals/cbm/cbm59.html#Garcia-Laencina15
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.
2015
25
Int. J. Bifurc. Chaos
14
https://doi.org/10.1142/S0218127415400234
db/journals/ijbc/ijbc25.html#Rodriguez-Bermudez15
1540023:1-1540023:9
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.
49-59
2015
58
J. Biomed. Informatics
https://doi.org/10.1016/j.jbi.2015.09.012
https://www.wikidata.org/entity/Q40481262
db/journals/jbi/jbi58.html#SantosAGSC15
Pedro J. García-Laencina
Germán Rodríguez-Bermúdez
Joaquín Roca-Dorda
Exploring dimensionality reduction of EEG features in motor imagery task classification.
5285-5295
2014
41
Expert Syst. Appl.
11
https://doi.org/10.1016/j.eswa.2014.02.043
db/journals/eswa/eswa41.html#Garcia-LaencinaRR14
Pedro J. García-Laencina
José-Luis Sancho-Gómez
Aníbal R. Figueiras-Vidal
Classifying patterns with missing values using Multi-Task Learning perceptrons.
1333-1341
2013
40
Expert Syst. Appl.
4
https://doi.org/10.1016/j.eswa.2012.08.057
db/journals/eswa/eswa40.html#Garcia-LaencinaSF13
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.
2013
23
Int. J. Neural Syst.
4
https://doi.org/10.1142/S0129065713500159
https://www.wikidata.org/entity/Q51204814
db/journals/ijns/ijns23.html#Rodriguez-BermudezGR13
Germán Rodríguez-Bermúdez
Pedro J. García-Laencina
Joaquín Roca-González
Joaquín Roca-Dorda
Efficient feature selection and linear discrimination of EEG signals.
161-165
2013
115
Neurocomputing
https://doi.org/10.1016/j.neucom.2013.01.001
db/journals/ijon/ijon115.html#Rodriguez-BermudezGRR13
Pedro J. García-Laencina
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines.
86-93
2013
42
Inf. Technol. Control.
1
https://doi.org/10.5755/j01.itc.42.1.1667
db/journals/itc/itc42.html#Garcia-Laencina13
Andrés Bueno-Crespo
Pedro J. García-Laencina
José-Luis Sancho-Gómez
Neural architecture design based on extreme learning machine.
19-24
2013
48
Neural Networks
https://doi.org/10.1016/j.neunet.2013.06.010
https://www.wikidata.org/entity/Q47220566
db/journals/nn/nn48.html#Bueno-CrespoGS13
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.
1247-1254
2012
108
Comput. Methods Programs Biomed.
3
https://doi.org/10.1016/j.cmpb.2012.08.006
https://www.wikidata.org/entity/Q30570964
db/journals/cmpb/cmpb108.html#UrdaSGFSJ12
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.
105-115
2010
50
Artif. Intell. Medicine
2
https://doi.org/10.1016/j.artmed.2010.05.002
https://www.wikidata.org/entity/Q33634946
db/journals/artmed/artmed50.html#JerezMGARMF10
Pedro J. García-Laencina
José-Luis Sancho-Gómez
Aníbal R. Figueiras-Vidal
Pattern classification with missing data: a review.
263-282
2010
19
Neural Comput. Appl.
2
https://doi.org/10.1007/s00521-009-0295-6
db/journals/nca/nca19.html#Garcia-LaencinaSF10
José-Luis Sancho-Gómez
Pedro J. García-Laencina
Aníbal R. Figueiras-Vidal
Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron.
539-553
2009
15
Intell. Autom. Soft Comput.
4
https://doi.org/10.1080/10798587.2009.10643048
db/journals/iasc/iasc15.html#Sancho-GomezGF09
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.
1483-1493
2009
72
Neurocomputing
7-9
https://doi.org/10.1016/j.neucom.2008.11.026
db/journals/ijon/ijon72.html#Garcia-LaencinaSFV09
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.
37-42
2008
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2008-42.pdf
conf/esann/2008
db/conf/esann/esann2008.html#Garcia-LaencinaSFV08
Santiago González-Benítez
Rafael Verdú
Rafael Berenguer
Pedro J. García-Laencina
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles.
152-161
2007
conf/iwinac/2007-2
IWINAC (2)
https://doi.org/10.1007/978-3-540-73055-2_17
db/conf/iwinac/iwinac2007-2.html#Gonzalez-BenitezVBG07
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.
162-170
2007
conf/iwinac/2007-2
IWINAC (2)
https://doi.org/10.1007/978-3-540-73055-2_18
db/conf/iwinac/iwinac2007-2.html#Serrano-GarciaGLS07
Pedro J. García-Laencina
Jesús Serrano-García
Aníbal R. Figueiras-Vidal
José-Luis Sancho-Gómez
Multi-task Neural Networks for Dealing with Missing Inputs.
282-291
2007
conf/iwinac/2007-1
IWINAC (1)
https://doi.org/10.1007/978-3-540-73053-8_28
db/conf/iwinac/iwinac2007-1.html#Garcia-LaencinaSFS07
Pedro J. García-Laencina
José-Luis Sancho-Gómez
Aníbal R. Figueiras-Vidal
Pattern Classification with Missing Values using Multitask Learning.
3594-3601
2006
IJCNN
https://doi.org/10.1109/IJCNN.2006.247370
conf/ijcnn/2006
db/conf/ijcnn/ijcnn2006.html#Garcia-LaencinaSF06
Pedro J. García-Laencina
Aníbal R. Figueiras-Vidal
Jesús Serrano-García
José-Luis Sancho-Gómez
Exploiting Multitask Learning Schemes Using Private Subnetworks.
233-240
2005
conf/iwann/2005
IWANN
https://doi.org/10.1007/11494669_29
db/conf/iwann/iwann2005.html#Garcia-LaencinaFSS05
Miguel Henriques Abreu
Pedro H. AbreuPedro Henriques Abreu
Noémia Afonoso
Emilio Alba
Rafael Berenguer-VidalRafael Berenguer
Andrés Bueno-Crespo
Armando Carvalho
Manuel Fernández-Martínez
Aníbal R. Figueiras-Vidal
Leonardo Franco
Santiago González-Benítez
Miguel Ángel Sánchez Granero
José M. JerezJosé Manuel Jerez
Jorge Larrey-Ruiz
Miguel Martín
Ignacio Molina
Nuria Ribelles
Joaquín Roca-Dorda
Joaquín Roca-González
Germán Rodríguez-Bermúdez
José-Luis Sancho-Gómez
Miriam Seoane Santos
José Serna
Jesús Serrano-García
Adélia Simão
José Luis Subirats
Daniel Urda
Rafael Verdú
Michel Verleysen