Gualberto Asencio-Cortés, Ph.D. (0000-0003-0874-1826)
Gualberto Asencio-Cortés, Ph.D. (0000-0003-0874-1826)
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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
1442015
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 (5), 1043-1055, 2017
612017
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
492016
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
482018
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
462020
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
342016
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
302015
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
242017
Improving earthquake prediction with principal component analysis: application to Chile
G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes, ...
International Conference on Hybrid Artificial Intelligence Systems, 393-404, 2015
192015
A novel methodology to predict urban traffic congestion with ensemble learning
G Asencio-Cortés, E Florido, A Troncoso, F Martínez-Álvarez
Soft Computing 20 (11), 4205-4216, 2016
172016
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
142019
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
122020
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
112018
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
112018
Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction
G Asencio–Cortés, S Scitovski, R Scitovski, F Martínez–Álvarez
Earth Science Informatics 10 (3), 303-320, 2017
112017
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
112017
PSF: Forecasting of univariate time series using the pattern sequence-based forecasting (PSF) algorithm
N Bokde, G Asencio-Cortes, F Martinez-Alvarez
R package version 0.4, 2017
112017
Evolutionary decision rules for predicting protein contact maps
AE Marquez-Chamorro, G Asencio-Cortes, F Divina, JS Aguilar-Ruiz
Pattern Analysis and Applications 17 (4), 725-737, 2014
112014
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
102018
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
92017
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