Pedro J. García-Laencina

Author

Centro Universitario de la Defensa en San Javier

Also Known As

P. J. García-Laencina, P.J. Garcia-Laencina, P.J. García-Laencina, PEDRO J. GARCÍA-LAENCINA, Pedro García-Laencina, Pedro J. Garcia-Laencina, Pedro J. García-Laencina, Pedro José García-Laencina

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Centro Universitario de la Defensa en San Javier Universidad Politécnica de Cartagena United States Air Force Academy University of Coimbra Universidad Carlos III de Madrid

About

Pedro J. García-Laencina is an author at Centro Universitario de la Defensa en San Javier specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	1.2K
2	Social Sciences	5	5	278
3	Biostatistics	3	3	949
4	Public Health	2	2	744
5	Medicine	1	1	205

Pedro J. García-Laencina

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Missing data imputation using statistical and machine learning methods in a real breast cancer problem José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Artificial Intelligence in Medicine EngineeringMachine LearningData MiningData ImputationPredictive Analytics	2010	587
K nearest neighbours with mutual information for simultaneous classification and missing data imputation Pedro J. García-Laencina, José‐Luis Sancho‐Gómez, Anı́bal R. Figueiras-Vidal, Neurocomputing Data ClassificationClassification MethodSparse RepresentationEngineeringMachine Learning	2009	251
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Journal of Biomedical Informatics Survival PredictionHepatologyHepatocellular Carcinoma PatientsMedicinePrognosis	2015	205
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, Computers in Biology and Medicine Cancer EpidemiologyBreast Cancer PatientsData ImputationPredictive AnalyticsUnknown Discrete Values	2015	157
Exploring dimensionality reduction of EEG features in motor imagery task classification Pedro J. García-Laencina, Germán Rodríguez-Bermúdez, Joaquín Roca‐Dorda Expert Systems with Applications Eeg FeaturesEngineeringData ScienceComputational NeurosciencePattern Recognition	2014	70
Automatic and Adaptive Classification of Electroencephalographic Signals for Brain Computer Interfaces Germán Rodríguez-Bermúdez, Pedro J. García-Laencina Journal of Medical Systems EngineeringBrain Computer InterfacesAdaptive ClassificationComputational NeuroscienceEeg Signal Processing	2012	68
Efficient feature selection and linear discrimination of EEG signals Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca González, Neurocomputing EngineeringEfficient Feature SelectionComputational NeuroscienceEeg Signal ProcessingFeature Selection	2013	65
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 International Journal of Neural Systems EngineeringMachine LearningBiometricsFeature SelectionFeature Extraction	2013	59
Classifying patterns with missing values using Multi-Task Learning perceptrons Pedro J. García-Laencina, José‐Luis Sancho‐Gómez, Anı́bal R. Figueiras-Vidal Expert Systems with Applications EngineeringMachine LearningData ScienceData MiningPattern Recognition	2012	52
Neural architecture design based on extreme learning machine Andrés Bueno-Crespo, Pedro J. García-Laencina, José‐Luis Sancho‐Gómez Neural Networks Artificial IntelligenceEvolving Neural NetworkEngineeringMachine LearningExtreme Learning Machine	2013	35

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