 | 2010 |
| 9 |  | 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.
Artificial Intelligence in Medicine 50(2): 105-115 (2010) |
| 8 |  | Pedro J. García-Laencina,
José-Luis Sancho-Gómez,
Aníbal R. Figueiras-Vidal:
Pattern classification with missing data: a review.
Neural Computing and Applications 19(2): 263-282 (2010) |
| 2009 |
| 7 |  | 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.
Neurocomputing 72(7-9): 1483-1493 (2009) |
| 2008 |
| 6 |  | 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.
ESANN 2008: 37-42 |
| 2007 |
| 5 |  | Pedro J. García-Laencina,
Jesús Serrano-García,
Aníbal R. Figueiras-Vidal,
José-Luis Sancho-Gómez:
Multi-task Neural Networks for Dealing with Missing Inputs.
IWINAC (1) 2007: 282-291 |
| 4 |  | Santiago González-Benítez,
Rafael Verdú,
Rafael Berenguer,
Pedro J. García-Laencina:
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles.
IWINAC (2) 2007: 152-161 |
| 3 |  | 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.
IWINAC (2) 2007: 162-170 |
| 2006 |
| 2 |  | Pedro J. García-Laencina,
José-Luis Sancho-Gómez,
Aníbal R. Figueiras-Vidal:
Pattern Classification with Missing Values using Multitask Learning.
IJCNN 2006: 3594-3601 |
| 2005 |
| 1 |  | Pedro J. García-Laencina,
Aníbal R. Figueiras-Vidal,
Jesús Serrano-García,
José-Luis Sancho-Gómez:
Exploiting Multitask Learning Schemes Using Private Subnetworks.
IWANN 2005: 233-240 |