Iñaki Inza

Jonathan Ortigosa-Hernández, Juan Diego Rodríguez, Leandro Alzate, Manuel Lucania, Iñaki Inza, José Antonio Lozano: Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. Neurocomputing 92: 98-115 (2012)

Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano: Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33(3): 631-654 (2012)

Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga: Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE/ACM Trans. Comput. Biology Bioinform. 8(3): 760-774 (2011)

Jerónimo Hernández, Iñaki Inza: Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions. CAEPIA 2011: 134-144

Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Bayesian classifiers based on kernel density estimation: Flexible classifiers. Int. J. Approx. Reasoning 50(2): 341-362 (2009)

Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga: Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. IEEE Transactions on Information Technology in Biomedicine 13(3): 341-350 (2009)

Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga: A review of estimation of distribution algorithms in bioinformatics. BioData Mining 1 (2008)

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)

Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer: Preface. Journal of Machine Learning Research - Proceedings Track 4: 1-4 (2008)

Yvan Saeys, Iñaki Inza, Pedro Larrañaga: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19): 2507-2517 (2007)

Jose Luis Flores, Iñaki Inza, Pedro Larrañaga: Wrapper discretization by means of estimation of distribution algorithms. Intell. Data Anal. 11(5): 525-545 (2007)

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)

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)

Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Information Theory and Classification Error in Probabilistic Classifiers. Discovery Science 2006: 347-351

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)

Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza: Editorial. Machine Learning 59(3): 211-212 (2005)

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)

Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra: Gene Selection For Cancer Classification Using Wrapper Approaches. IJPRAI 18(8): 1373-1390 (2004)

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

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)

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)

Rosa Blanco, Iñaki Inza, Pedro Larrañaga: Floating Search Methods in Learning Bayesian Networks. Probabilistic Graphical Models 2002

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)

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)

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)

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)

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

Basilio Sierra, Iñaki Inza, Pedro Larrañaga: On Applying Supervised Classification Techniques in Medicine. ISMDA 2001: 14-19

Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra: Feature Subset Selection by Bayesian network-based optimization. Artif. Intell. 123(1-2): 157-184 (2000)

Basilio Sierra, Iñaki Inza, Pedro Larrañaga: Medical Bayes Networks. ISMDA 2000: 4-14

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

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)

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)

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