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Pedro J. García-Laencina

Observed names: Garcia-Laencina Pj, P. J. García-Laencina, P.J. Garcia-Laencina, P.J. García-Laencina, PEDRO J. GARCÍA-LAENCINA, Pedro García-Laencina, Pedro J. Garcia-Laencina, Pedro José García-Laencina
OpenAlex ID: A5068619277
Pattern classification with missing data: a review
2009 · Pedro J. García-Laencina, José-Luis Sancho-Gómez, et al. · Neural Computing and Applications · 800
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
2010 · José M. Jerez, Ignacio Molina, et al. · Artificial Intelligence in Medicine · 639
K nearest neighbours with mutual information for simultaneous classification and missing data imputation
2009 · Pedro J. García-Laencina, José-Luis Sancho-Gómez, et al. · Neurocomputing · 263
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients
2015 · Miriam Seoane Santos, Pedro Henriques Abreu, et al. · Journal of Biomedical Informatics · 223
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Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
2015 · Pedro J. García-Laencina, Pedro Henriques Abreu, et al. · Computers in Biology and Medicine · 165
Exploring dimensionality reduction of EEG features in motor imagery task classification
2014 · Pedro J. García-Laencina, Germán Rodríguez-Bermudez, et al. · Expert Systems with Applications · 72
Automatic and Adaptive Classification of Electroencephalographic Signals for Brain Computer Interfaces
2012 · Germán Rodríguez-Bermúdez, Pedro J. García-Laencina · Journal of Medical Systems · 71
Efficient feature selection and linear discrimination of EEG signals
2013 · Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, et al. · Neurocomputing · 67
Efficient Automatic Selection and Combination of Eeg Features in Least Squares Classifiers for Motor Imagery Brain–computer Interfaces
2013 · GERMAN RODRÍGUEZ-BERMÚDEZ, PEDRO J. GARCÍA-LAENCINA, et al. · International Journal of Neural Systems · 58
Classifying patterns with missing values using Multi-Task Learning perceptrons
2012 · Pedro J. García-Laencina, José-Luis Sancho-Gómez, et al. · Expert Systems with Applications · 53
Neural architecture design based on extreme learning machine
2013 · Andrés Bueno-Crespo, Pedro J. García-Laencina, et al. · Neural Networks · 34
Testing the Self-Similarity Exponent to Feature Extraction in Motor Imagery Based Brain Computer Interface Systems
2015 · Germán Rodríguez-Bermúdez, Miguel Ángel Sánchez-Granero, et al. · International Journal of Bifurcation and Chaos · 16
Multi-task Neural Networks for Dealing with Missing Inputs
2007 · Pedro J. García-Laencina, Jesús Serrano, et al. · Lecture notes in computer science · 15
Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron
2009 · José‐Luis Sancho‐Gómez, Pedro J. García-Laencina, et al. · Intelligent Automation & Soft Computing · 11
K-Nearest Neighbours based on Mutual Information for Incomplete Data Classification
2008 · Pedro J. García-Laencina, José‐Luis Sancho‐Gómez, et al. · 9
WIMP: Web server tool for missing data imputation
2012 · D. Urda, J.L. Subirats, et al. · Computer Methods and Programs in Biomedicine · 7
Pattern Classification with Missing Values using Multitask Learning
2006 · P.J. Garcia-Laencina, J. Sancho-Gomez, et al. · International Joint Conference on Neural Networks (IJCNN) · 7
Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines
2013 · Pedro J. Garcia-Laencina · Information Technology And Control · 5
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Exploiting Multitask Learning Schemes Using Private Subnetworks
2005 · Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, et al. · Lecture notes in computer science · 5
Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
2018 · Miriam Seoane Santos, Pedro Henriques Abreu, et al. · International Journal of Computational Intelligence Systems · 4
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Classification with Incomplete Data
2010 · Pedro J. García-Laencina, Juan Morales-Sánchez, et al. · IGI Global eBooks · 4
A robust approach for classifying unknown data in medical diagnosis problems
2008 · Pedro J. García-Laencina, Anı́bal R. Figueiras-Vidal, et al. · World Automation Congress (WAC) · 4
Exploiting Diversity of Neural Network Ensembles Based on Extreme Learning Machine
2013 · Pedro J. García-Laencina, José-Luis Roca-Gonzáles, et al. · Neural Network World · 2
Feed-Forward Neural Network Architectures Based on Extreme Learning Machine for Parkinson’s Disease Diagnosis
2013 · P. J. García-Laencina, G. Rodríguez-Bermúdez, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 1
Statistical Data Mining and Artificial Neural Networks: A Case of Study in Financial Modeling
2012 · Pedro J. García-Laencina, M. Ángeles Varela-Jul, et al. · Springer eBooks · 1
Works count: 29
Citation count: 2,538
H-index: 13
I10-index: 14
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