Seuraa
José C. Riquelme
Nimike
Viittaukset
Viittaukset
Vuosi
An experimental review on deep learning architectures for time series forecasting
P Lara-Benítez, M Carranza-García, JC Riquelme
International journal of neural systems 31 (03), 2130001, 2021
4822021
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
3722006
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
3382010
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
3142007
Temporal convolutional networks applied to energy-related time series forecasting
P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme
applied sciences 10 (7), 2322, 2020
2662020
Minería de datos: Conceptos y tendencias
JC Riquelme, R Ruiz, K Gilbert
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2006
2632006
A framework for evaluating land use and land cover classification using convolutional neural networks
M Carranza-García, J García-Gutiérrez, JC Riquelme
Remote Sensing 11 (3), 274, 2019
2452019
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
2242015
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
1682014
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model
F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ...
Big data 8 (4), 308-322, 2020
1642020
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
1392003
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
1372002
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
1282001
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
1242018
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
1202002
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
1192015
Finding representative patterns with ordered projections
JC Riquelme, JS Aguilar-Ruiz, M Toro
pattern recognition 36 (4), 1009-1018, 2003
1162003
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
1012015
Mining numeric association rules with genetic algorithms
J Mata, JL Alvarez, JC Riquelme
Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 2001
922001
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
812012
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Artikkelit 1–20