Incremental wrapper-based gene selection from microarray data for cancer classification R Ruiz, JC Riquelme, JS Aguilar-Ruiz Pattern Recognition 39 (12), 2383-2392, 2006 | 363 | 2006 |
Energy time series forecasting based on pattern sequence similarity FM Alvarez, A Troncoso, JC Riquelme, JSA Ruiz IEEE Transactions on Knowledge and Data Engineering 23 (8), 1230-1243, 2010 | 331 | 2010 |
Biclustering on expression data: A review B Pontes, R Giráldez, JS Aguilar-Ruiz Journal of biomedical informatics 57, 163-180, 2015 | 318 | 2015 |
Biclustering on expression data: A review B Pontes Balanza, R Giráldez, JS Aguilar Ruiz Journal of Biomedical Informatics, 57 (October 2015), 163-180., 2015 | 318 | 2015 |
Biclustering of expression data with evolutionary computation F Divina, JS Aguilar-Ruiz IEEE transactions on knowledge and data engineering 18 (5), 590-602, 2006 | 260 | 2006 |
Shifting and scaling patterns from gene expression data JS Aguilar-Ruiz Bioinformatics 21 (20), 3840-3845, 2005 | 204 | 2005 |
Evolutionary learning of hierarchical decision rules JS Aguilar-Ruiz, JC Riquelme, M Toro IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 141 | 2003 |
An evolutionary approach to estimating software development projects JS Aguilar-Ruiz, I Ramos, JC Riquelme, M Toro Information and Software Technology 43 (14), 875-882, 2001 | 126 | 2001 |
Finding representative patterns with ordered projections JC Riquelme, JS Aguilar-Ruiz, M Toro Pattern Recognition 36 (4), 1009-1018, 2003 | 115 | 2003 |
Gene association analysis: a survey of frequent pattern mining from gene expression data R Alves, DS Rodriguez-Baena, JS Aguilar-Ruiz Briefings in Bioinformatics 11 (2), 210-224, 2010 | 107 | 2010 |
A biclustering algorithm for extracting bit-patterns from binary datasets DS Rodriguez-Baena, AJ Perez-Pulido, JS Aguilar− Ruiz Bioinformatics 27 (19), 2738-2745, 2011 | 104 | 2011 |
Detecting fault modules applying feature selection to classifiers D Rodríguez, R Ruiz, J Cuadrado-Gallego, J Aguilar-Ruiz 2007 IEEE International Conference on Information Reuse and Integration, 667-672, 2007 | 103 | 2007 |
Biclustering of gene expression data by correlation-based scatter search JA Nepomuceno, A Troncoso, JS Aguilar-Ruiz BioData mining 4 (1), 1-17, 2011 | 82 | 2011 |
A multi-objective approach to discover biclusters in microarray data F Divina, JS Aguilar-Ruiz Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 81 | 2007 |
Searching for rules to detect defective modules: A subgroup discovery approach D Rodríguez, R Ruiz, JC Riquelme, JS Aguilar–Ruiz Information Sciences 191, 14-30, 2012 | 74 | 2012 |
Natural encoding for evolutionary supervised learning JS Aguilar-Ruiz, R Giráldez, JC Riquelme IEEE Transactions on Evolutionary Computation 11 (4), 466-479, 2007 | 71 | 2007 |
A similarity-based approach for data stream classification D Mena-Torres, JS Aguilar-Ruiz Expert Systems with Applications 41 (9), 4224-4234, 2014 | 68 | 2014 |
Incremental rule learning and border examples selection from numerical data streams FJ Ferrer Troyano, JS Aguilar Ruiz, JC Riquelme Santos Journal of Universal Computer Science, 11 (8), 1426-1439., 2005 | 68 | 2005 |
Quality measures for gene expression biclusters B Pontes, R Girldez, JS Aguilar-Ruiz PloS one 10 (3), e0115497, 2015 | 67 | 2015 |
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches R Ruiz, JC Riquelme, JS Aguilar-Ruiz, M García-Torres Expert Systems with Applications 39 (12), 11094-11102, 2012 | 55 | 2012 |