2009 |
27 | EE | Aritz Pérez,
Pedro Larrañaga,
Iñaki Inza:
Bayesian classifiers based on kernel density estimation: Flexible classifiers.
Int. J. Approx. Reasoning 50(2): 341-362 (2009) |
2008 |
26 | EE | Rubén Armañanzas,
Iñaki Inza,
Pedro Larrañaga:
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
Computer Methods and Programs in Biomedicine 91(2): 110-121 (2008) |
2007 |
25 | EE | Yvan Saeys,
Iñaki Inza,
Pedro Larrañaga:
A review of feature selection techniques in bioinformatics.
Bioinformatics 23(19): 2507-2517 (2007) |
24 | EE | J. L. Flores,
Iñaki Inza,
Pedro Larrañaga:
Wrapper discretization by means of estimation of distribution algorithms.
Intell. Data Anal. 11(5): 525-545 (2007) |
2006 |
23 | EE | Aritz Pérez Martínez,
Pedro Larrañaga,
Iñaki Inza:
Information Theory and Classification Error in Probabilistic Classifiers.
Discovery Science 2006: 347-351 |
22 | EE | Pedro Larrañaga,
Borja Calvo,
Roberto Santana,
Concha Bielza,
Josu Galdiano,
Iñaki Inza,
José Antonio Lozano,
Rubén Armañanzas,
Guzmán Santafé,
Aritz Pérez Martínez,
Victor Robles:
Machine learning in bioinformatics.
Briefings in Bioinformatics 7(1): 86-112 (2006) |
21 | EE | Aritz Pérez Martínez,
Pedro Larrañaga,
Iñaki Inza:
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.
Int. J. Approx. Reasoning 43(1): 1-25 (2006) |
2005 |
20 | EE | Rosa Blanco,
Iñaki Inza,
Marisa Merino,
Jorge Quiroga,
Pedro Larrañaga:
Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.
Journal of Biomedical Informatics 38(5): 376-388 (2005) |
19 | EE | Pedro Larrañaga,
José Antonio Lozano,
José Manuel Peña,
Iñaki Inza:
Editorial.
Machine Learning 59(3): 211-212 (2005) |
2004 |
18 | EE | Rosa Blanco,
Linda C. van der Gaag,
Iñaki Inza,
Pedro Larrañaga:
Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer.
ISBMDA 2004: 212-223 |
17 | EE | Iñaki Inza,
Pedro Larrañaga,
Rosa Blanco,
Antonio J. Cerrolaza:
Filter versus wrapper gene selection approaches in DNA microarray domains.
Artificial Intelligence in Medicine 31(2): 91-103 (2004) |
16 | EE | Rosa Blanco,
Pedro Larrañaga,
Iñaki Inza,
Basilio Sierra:
Gene Selection For Cancer Classification Using Wrapper Approaches.
IJPRAI 18(8): 1373-1390 (2004) |
2003 |
15 | EE | Rosa Blanco,
Iñaki Inza,
Pedro Larrañaga:
Learning Bayesian networks in the space of structures by estimation of distribution algorithms.
Int. J. Intell. Syst. 18(2): 205-220 (2003) |
2002 |
14 | EE | Rosa Blanco,
Iñaki Inza,
Pedro Larrañaga:
Floating Search Methods in Learning Bayesian Networks.
Probabilistic Graphical Models 2002 |
13 | EE | Iñaki Inza,
Basilio Sierra,
Rosa Blanco:
Gene selection by sequential search wrapper approaches in microarray cancer class prediction.
Journal of Intelligent and Fuzzy Systems 12(1): 25-33 (2002) |
2001 |
12 | EE | Basilio Sierra,
Elena Lazkano,
Iñaki Inza,
Marisa Merino,
Pedro Larrañaga,
Jorge Quiroga:
Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.
AIME 2001: 20-29 |
11 | EE | Basilio Sierra,
Iñaki Inza,
Pedro Larrañaga:
On Applying Supervised Classification Techniques in Medicine.
ISMDA 2001: 14-19 |
10 | | Basilio Sierra,
Nicolás Serrano,
Pedro Larrañaga,
Eliseo J. Plasencia,
Iñaki Inza,
Juan José Jiménez,
Pedro Revuelta,
María Luisa Mora:
Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.
Artificial Intelligence in Medicine 22(3): 233-248 (2001) |
9 | | Iñaki Inza,
Marisa Merino,
Pedro Larrañaga,
Jorge Quiroga,
Basilio Sierra,
Marcos Girala:
Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS.
Artificial Intelligence in Medicine 23(2): 187-205 (2001) |
8 | EE | José Manuel Peña,
José Antonio Lozano,
Pedro Larrañaga,
Iñaki Inza:
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks.
IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 590-603 (2001) |
7 | EE | Iñaki Inza,
Pedro Larrañaga,
Basilio Sierra:
Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms.
Int. J. Approx. Reasoning 27(2): 143-164 (2001) |
2000 |
6 | EE | Basilio Sierra,
Iñaki Inza,
Pedro Larrañaga:
Medical Bayes Networks.
ISMDA 2000: 4-14 |
5 | EE | Iñaki Inza,
Marisa Merino,
Pedro Larrañaga,
Jorge Quiroga,
Basilio Sierra,
Marcos Girala:
Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.
ISMDA 2000: 97-110 |
4 | EE | Iñaki Inza,
Pedro Larrañaga,
Ramon Etxeberria,
Basilio Sierra:
Feature Subset Selection by Bayesian network-based optimization.
Artif. Intell. 123(1-2): 157-184 (2000) |
1999 |
3 | EE | Basilio Sierra,
Nicolás Serrano,
Pedro Larrañaga,
Eliseo J. Plasencia,
Iñaki Inza,
Juan José Jiménez,
Jose María De la Rosa,
María Luisa Mora:
Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit.
AIMDM 1999: 366-371 |
2 | | Pedro Larrañaga,
Cindy M. H. Kuijpers,
Roberto H. Murga,
Iñaki Inza,
S. Dizdarevic:
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators.
Artif. Intell. Rev. 13(2): 129-170 (1999) |
1 | EE | Iñaki Inza,
Pedro Larrañaga,
Basilio Sierra,
Ramon Etxeberria,
José Antonio Lozano,
José Manuel Peña:
Representing the behaviour of supervised classification learning algorithms by Bayesian networks.
Pattern Recognition Letters 20(11-13): 1201-1209 (1999) |