| 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 | 1005 | 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 | 745 | 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 | 323 | 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 | 214 | 2015 |
| 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 | 91 | 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 | 85 | 2014 |
| Efficient feature selection and linear discrimination of EEG signals G Rodríguez-Bermúdez, PJ García-Laencina, J Roca-González, ... Neurocomputing 115, 161-165, 2013 | 85 | 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 | 69 | 2013 |
| 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 | 65 | 2013 |
| Neural architecture design based on extreme learning machine A Bueno-Crespo, PJ García-Laencina, JL Sancho-Gómez Neural Networks 48, 19-24, 2013 | 45 | 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 | 24 | 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 | 15 | 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 | 15* | 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 | 14 | 2006 |
| 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 | 13 | 2009 |
| Exploiting multitask learning schemes using private subnetworks PJ García-Laencina, AR Figueiras-Vidal, J Serrano-García, ... Computational Intelligence and Bioinspired Systems, 233-240, 2005 | 13 | 2005 |
| Machine learning techniques for solving classification problems with missing input data PJ Garcıa-Laencina, AR Figueiras-Vidal, JL Sancho-Gómez | 10 | 2008 |
| Improving Predictions Using Linear Combination Of Multiple Extreme Learning Machines PJ Garcia-Laencina Information Technology And Control 42 (1), 86-93, 2013 | 9 | 2013 |
| 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 | 6 | 2012 |
| DESIGN AND TRAINING OF NEURAL ARCHITECTURES USING EXTREME LEARNING MACHINE PJ García-Laencina, A Bueno-Crespo, JL Sancho-Gómez Neurocomputing: Learning, Architectures and Modeling. Nova Science Publishers, 2011 | 6 | 2011 |
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPL確認したメール アドレス: uclouvain.be