Pedro J. García-Laencina
Pedro J. García-Laencina
Full-time Senior Lecturer and Researcher at Centro Universitario de la Defensa de San Javier (Spain)
Verified email at - Homepage
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Pattern classification with missing data: a review
PJ García-Laencina, JL Sancho-Gómez, AR Figueiras-Vidal
Neural Computing and Applications 19 (2), 263-282, 2010
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
JM Jerez, I Molina, PJ García-Laencina, E Alba, N Ribelles, M Martín, ...
Artificial Intelligence in Medicine 50 (2), 105-115, 2010
K nearest neighbours with mutual information for simultaneous classification and missing data imputation
PJ García-Laencina, JL Sancho-Gómez, AR Figueiras-Vidal, M Verleysen
Neurocomputing 72 (7), 1483-1493, 2009
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
PJ García-Laencina, PH Abreu, MH Abreu, N Afonoso
Computers in biology and medicine 59, 125-133, 2015
Efficient feature selection and linear discrimination of EEG signals
G Rodríguez-Bermúdez, PJ García-Laencina, J Roca-González, ...
Neurocomputing 115, 161-165, 2013
Automatic and Adaptive Classification of Electroencephalographic Signals for Brain Computer Interfaces
G Rodríguez-Bermúdez, PJ García-Laencina
Journal of medical systems 36 (1), 51-63, 2012
Exploring dimensionality reduction of EEG features in motor imagery task classification
PJ García-Laencina, G Rodríguez-Bermudez, J Roca-Dorda
Expert Systems with Applications 41 (11), 5285-5295, 2014
Efficient automatic selection and combination of eeg features in least squares classifiers for motor imagery brain–computer interfaces
G Rodriguez-Bermudez, PJ Garcia-Laencina, J Roca-Dorda
International journal of neural systems 23 (04), 1350015, 2013
Classifying patterns with missing values using Multi-Task Learning perceptrons
PJ García-Laencina, JL Sancho-Gómez, AR Figueiras-Vidal
Expert Systems With Applications 40 (4), 1333-1341, 2013
Neural architecture design based on extreme learning machine
A Bueno-Crespo, PJ García-Laencina, JL Sancho-Gómez
Neural Networks 48, 19-24, 2013
Multi-task neural networks for dealing with missing inputs
P García-Laencina, J Serrano, A Figueiras-Vidal, JL Sancho-Gómez
Bio-inspired Modeling of Cognitive Tasks, 282-291, 2007
Adquisición, procesamiento y clasificación de señales EEG para diseño de sistemas BCI basados en imaginación de movimiento
G Rodríguez Bermúdez, PJ García Laencina, D Brizion, J Roca Dorda
Universidad Politécnica de Cartagena, 2013
Adquisición, procesamiento y clasificación de señales EEG para el diseño de sistemas BCI basados en imaginación de movimiento
GR Bermúdez, PJG Laencina, D Brizion, JR Dorda
Jornadas de introducción a la investigación de la UPCT, 10-12, 2013
Pattern classification with missing values using multitask learning
PJ García-Laencina, JL Sancho-Gómez, AR Figueiras-Vidal
Neural Networks, 2006. IJCNN'06. International Joint Conference on, 3594-3601, 2006
Exploiting multitask learning schemes using private subnetworks
PJ García-Laencina, AR Figueiras-Vidal, J Serrano-García, ...
Computational Intelligence and Bioinspired Systems, 233-240, 2005
Combining missing data imputation and pattern classification in a multi-layer perceptron
JL Sancho-Gómez, PJ García-Laencina, AR Figueiras-Vidal
Intelligent Automation & Soft Computing 15 (4), 539-553, 2009
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines
PJ Garcia-Laencina
Information Technology And Control 42 (1), 86-93, 2013
Machine learning techniques for solving classification problems with missing input data
PJ Garcıa-Laencina, AR Figueiras-Vidal, JL Sancho-Gómez
Estimación de densidad de probabilidad mediante ventanas de Parzen
PJG Laencina, JLS GÓmez
Jornadas de introducción a la investigación de la UPCT, 68-70, 2010
WIMP: Web server tool for missing data imputation
D Urda, JL Subirats, PJ García-Laencina, L Franco, JL Sancho-Gómez, ...
Computer methods and programs in biomedicine 108 (3), 1247-1254, 2012
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