José C. Riquelme
TitleCited byYear
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
2722006
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
2402007
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
2042010
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
1182003
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
1182001
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
1142002
Minería de datos: Conceptos y tendencias
JC Riquelme Santos, R Ruiz, K Gilbert
Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial …, 2006
1032006
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
922002
Finding representative patterns with ordered projections
JC Riquelme, JS Aguilar-Ruiz, M Toro
Pattern Recognition 36 (4), 1009-1018, 2003
912003
A survey on data mining techniques applied to electricity-related time series forecasting
F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, J Riquelme
Energies 8 (11), 13162-13193, 2015
782015
Mining numeric association rules with genetic algorithms
J Mata, JL Alvarez, JC Riquelme
Artificial neural nets and genetic algorithms, 264-267, 2001
692001
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
632014
Natural encoding for evolutionary supervised learning
JS Aguilar-Ruiz, R Giráldez, JC Riquelme
IEEE Transactions on Evolutionary Computation 11 (4), 466-479, 2007
592007
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
582010
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
572005
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
502012
Finding defective modules from highly unbalanced datasets
JC Riquelme, R Ruiz, D Rodríguez, J Moreno
Actas de los Talleres de las Jornadas de Ingeniería del Software y Bases de …, 2008
462008
Time-series prediction: Application to the short-term electric energy demand
AT Lora, JMR Santos, JC Riquelme, AG Expósito, JLM Ramos
Conference on Technology Transfer, 577-586, 2003
452003
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
442007
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
432012
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Articles 1–20