José C. Riquelme
Citée par
Citée par
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
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
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
Minería de datos: Conceptos y tendencias
JC Riquelme Santos, R Ruiz, K Gilbert
Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial …, 2006
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
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
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
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
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
Finding representative patterns with ordered projections
JC Riquelme, JS Aguilar-Ruiz, M Toro
Pattern Recognition 36 (4), 1009-1018, 2003
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
Mining numeric association rules with genetic algorithms
J Mata, JL Alvarez, JC Riquelme
Artificial neural nets and genetic algorithms, 264-267, 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
Natural encoding for evolutionary supervised learning
JS Aguilar-Ruiz, R Giráldez, JC Riquelme
IEEE Transactions on Evolutionary Computation 11 (4), 466-479, 2007
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme
Neurocomputing 167, 24-31, 2015
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
Big data analytics for discovering electricity consumption patterns in smart cities
R Pérez-Chacón, JM Luna-Romera, A Troncoso, F Martínez-Álvarez, ...
Energies 11 (3), 683, 2018
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
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
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
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20