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Gualberto Asencio-Cortés, Ph.D. (0000-0003-0874-1826)
Gualberto Asencio-Cortés, Ph.D. (0000-0003-0874-1826)
在 upo.es 的电子邮件经过验证 - 首页
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引用次数
引用次数
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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
1982015
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
1372020
Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks
G Asencio-Cortés, F Martínez-Álvarez, A Troncoso, A Morales-Esteban
Neural Computing and Applications 28, 1043-1055, 2017
952017
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure
G Asencio–Cortés, A Morales–Esteban, X Shang, F Martínez–Álvarez
Computers & Geosciences 115, 198-210, 2018
912018
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction
G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes
Knowledge-Based Systems 101, 15-30, 2016
582016
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting
MA Castán-Lascorz, P Jiménez-Herrera, A Troncoso, G Asencio-Cortés
Information Sciences 586, 611-627, 2022
462022
PSF: Introduction to R package for pattern sequence based forecasting algorithm
N Bokde, G Asencio-Cortés, F Martínez-Álvarez, K Kulat
arXiv preprint arXiv:1606.05492, 2016
422016
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand
R Pérez-Chacón, G Asencio-Cortés, F Martínez-Álvarez, A Troncoso
Information Sciences 540, 160-174, 2020
412020
Comparing seismic parameters for different source zone models in the Iberian Peninsula
JL Amaro-Mellado, A Morales-Esteban, G Asencio-Cortés, ...
Tectonophysics 717, 449-472, 2017
362017
Soft computing methods for the prediction of protein tertiary structures: A survey
AE Márquez-Chamorro, G Asencio-Cortés, CE Santiesteban-Toca, ...
Applied Soft Computing 35, 398-410, 2015
362015
A novel methodology to predict urban traffic congestion with ensemble learning
G Asencio-Cortés, E Florido, A Troncoso, F Martínez-Álvarez
Soft Computing 20, 4205-4216, 2016
292016
A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system
C Gomez-Quiles, G Asencio-Cortes, A Gastalver-Rubio, ...
IEEE Access 7, 120840-120856, 2019
282019
Improving earthquake prediction with principal component analysis: application to Chile
G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes, ...
Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS …, 2015
272015
Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment
X Shang, X Li, A Morales-Esteban, G Asencio-Cortés, Z Wang
Remote Sensing 10 (3), 461, 2018
252018
A novel hybrid algorithm to forecast functional time series based on pattern sequence similarity with application to electricity demand
F Martínez-Álvarez, A Schmutz, G Asencio-Cortés, J Jacques
Energies 12 (1), 94, 2018
232018
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs
E Florido, G Asencio–Cortés, JL Aznarte, C Rubio-Escudero, ...
Computers & Geosciences 115, 96-104, 2018
182018
R package imputetestbench to compare imputation methods for Univariate time series
MW Beck, N Bokde, G Asencio-Cortés, K Kulat
The R journal 10 (1), 218, 2018
182018
Pattern sequence similarity based techniques for wind speed forecasting
N Bokde, A Troncoso, G Asencio-Cortés, K Kulat, F Martínez-Álvarez
Proceedings of the International Work-Conference on Time Series, Granada …, 2017
182017
Large earthquake magnitude prediction in Chile with imbalanced classifiers and ensemble learning
MJ Fernández-Gómez, G Asencio-Cortés, A Troncoso, F Martínez-Álvarez
Applied Sciences 7 (6), 625, 2017
182017
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series
A Troncoso, P Ribera, G Asencio-Cortés, I Vega, D Gallego
Environmental modelling & software 106, 48-56, 2018
162018
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