Inaki Inza
Inaki Inza
Intelligent Systems Group ISG, Computer Science Faculty, University of the Basque Country UPV/EHU
Verified email at - Homepage
Cited by
Cited by
A review of feature selection techniques in bioinformatics
Y Saeys, I Inza, P Larranaga
bioinformatics 23 (19), 2507-2517, 2007
Genetic algorithms for the travelling salesman problem: A review of representations and operators
P Larranaga, CMH Kuijpers, RH Murga, I Inza, S Dizdarevic
Artificial intelligence review 13, 129-170, 1999
Machine learning in bioinformatics
P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ...
Briefings in bioinformatics 7 (1), 86-112, 2006
Filter versus wrapper gene selection approaches in DNA microarray domains
I Inza, P Larranaga, R Blanco, AJ Cerrolaza
Artificial intelligence in medicine 31 (2), 91-103, 2004
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
Feature subset selection by Bayesian network-based optimization
I Inza, P Larrañaga, R Etxeberria, B Sierra
Artificial intelligence 123 (1-2), 157-184, 2000
Differential micro RNA expression in PBMC from multiple sclerosis patients
D Otaegui, SE Baranzini, R Armañanzas, B Calvo, M Muñoz-Culla, ...
PloS one 4 (7), e6309, 2009
Bayesian classifiers based on kernel density estimation: Flexible classifiers
A Pérez, P Larrañaga, I Inza
International Journal of Approximate Reasoning 50 (2), 341-362, 2009
Approaching sentiment analysis by using semi-supervised learning of multi-dimensional classifiers
J Ortigosa-Hernández, JD Rodríguez, L Alzate, M Lucania, I Inza, ...
Neurocomputing 92, 98-115, 2012
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes
A Perez, P Larranaga, I Inza
International Journal of Approximate Reasoning 43 (1), 1-25, 2006
A review of estimation of distribution algorithms in bioinformatics
R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ...
BioData mining 1, 1-12, 2008
Machine learning: an indispensable tool in bioinformatics
I Inza, B Calvo, R Armananzas, E Bengoetxea, P Larranaga, JA Lozano
Bioinformatics methods in clinical research, 25-48, 2009
Dealing with the evaluation of supervised classification algorithms
G Santafe, I Inza, JA Lozano
Artificial Intelligence Review 44, 467-508, 2015
Gene selection by sequential search wrapper approaches in microarray cancer class prediction
I Inza, B Sierra, R Blanco, P Larrañaga
Journal of Intelligent & Fuzzy Systems 12 (1), 25-33, 2002
Weak supervision and other non-standard classification problems: a taxonomy
J Hernández-González, I Inza, JA Lozano
Pattern Recognition Letters 69, 49-55, 2016
Learning Bayesian networks in the space of structures by estimation of distribution algorithms
R Blanco, I Inza, P Larranaga
International journal of intelligent systems 18 (2), 205-220, 2003
Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS
R Blanco, I Inza, M Merino, J Quiroga, P Larrañaga
Journal of Biomedical Informatics 38 (5), 376-388, 2005
Gene selection for cancer classification using wrapper approaches
R Blanco, P Larrañaga, I Inza, B Sierra
International Journal of Pattern Recognition and Artificial Intelligence 18 …, 2004
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
A Carreño, I Inza, JA Lozano
Artificial Intelligence Review 53, 3575-3594, 2020
Fish recruitment prediction, using robust supervised classification methods
JA Fernandes, X Irigoien, N Goikoetxea, JA Lozano, I Inza, A Pérez, ...
Ecological Modelling 221 (2), 338-352, 2010
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