| 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 | 293 | 2006 |
| Electricity market price forecasting based on weighted nearest neighbors techniques AT Lora, JMR Santos, AG Expósito, JLM Ramos, JCR Santos IEEE Transactions on Power Systems 22 (3), 1294-1301, 2007 | 262 | 2007 |
| 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 | 225 | 2010 |
| Minería de datos: Conceptos y tendencias JC Riquelme Santos, R Ruiz, K Gilbert Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial …, 2006 | 137 | 2006 |
| 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 | 129 | 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 | 127 | 2001 |
| An evolutionary algorithm to discover numeric association rules J Mata, JL Alvarez, JC Riquelme Proceedings of the 2002 ACM symposium on Applied computing, 590-594, 2002 | 118 | 2002 |
| A survey on data mining techniques applied to electricity-related time series forecasting F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, JC Riquelme Energies 8 (11), 13162-13193, 2015 | 108 | 2015 |
| Finding representative patterns with ordered projections JC Riquelme, JS Aguilar-Ruiz, M Toro Pattern Recognition 36 (4), 1009-1018, 2003 | 101 | 2003 |
| Discovering numeric association rules via evolutionary algorithm J Mata, JL Alvarez, JC Riquelme Pacific-Asia conference on knowledge discovery and data mining, 40-51, 2002 | 100 | 2002 |
| Preliminary comparison of techniques for dealing with imbalance in software defect prediction D Rodriguez, I Herraiz, R Harrison, J Dolado, JC Riquelme Proceedings of the 18th International Conference on Evaluation and …, 2014 | 81 | 2014 |
| Mining numeric association rules with genetic algorithms J Mata, JL Alvarez, JC Riquelme Artificial neural nets and genetic algorithms, 264-267, 2001 | 74 | 2001 |
| Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution M Martínez-Ballesteros, A Troncoso, F Martínez-Álvarez, JC Riquelme Integrated Computer-Aided Engineering 17 (3), 227-242, 2010 | 63 | 2010 |
| Natural encoding for evolutionary supervised learning JS Aguilar-Ruiz, R Giráldez, JC Riquelme IEEE Transactions on Evolutionary Computation 11 (4), 466-479, 2007 | 62 | 2007 |
| 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 | 62 | 2005 |
| Evolutionary generalized radial basis function neural networks for improving prediction accuracy in gene classification using feature selection F Fernández-Navarro, C Hervás-Martínez, R Ruiz, JC Riquelme Applied Soft Computing 12 (6), 1787-1800, 2012 | 55 | 2012 |
| Local models-based regression trees for very short-term wind speed prediction A Troncoso, S Salcedo-Sanz, C Casanova-Mateo, JC Riquelme, L Prieto Renewable Energy 81, 589-598, 2015 | 49 | 2015 |
| 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 | 48 | 2012 |
| An evolutionary algorithm to discover quantitative association rules in multidimensional time series M Martínez-Ballesteros, F Martínez-Álvarez, A Troncoso, JC Riquelme Soft Computing 15 (10), 2065, 2011 | 48 | 2011 |
| Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes J Aroba, JA Grande, JM Andújar, ML De La Torre, JC Riquelme Environmental Geology 53 (1), 135-145, 2007 | 48 | 2007 |
Jesus S. Aguilar-RuizFull Professor, Data Analytics Science & Engineering, Universidad Pablo de Olavide, Sevilla, EspañaDirección de correo verificada de upo.es
