| 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 | 215 | 2015 |
| 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 | 159 | 2020 |
| 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 | 106 | 2018 |
| Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks G Asencio-Cortes, F Martinez-Alvarez, A Troncoso, A Morales-Esteban Neural Computing and Applications 28, 1043-1055, 2017 | 103 | 2017 |
| 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 | 71 | 2016 |
| 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 | 65 | 2022 |
| 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 | 54 | 2020 |
| 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 | 43 | 2016 |
| 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 | 41 | 2017 |
| 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 | 39 | 2015 |
| 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 | 35 | 2015 |
| 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 | 33 | 2016 |
| 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 | 31 | 2019 |
| 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 | 28 | 2018 |
| 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 | 26 | 2018 |
| 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 | 23 | 2017 |
| 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 | 22 | 2018 |
| 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 | 21 | 2018 |
| 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 | 19 | 2017 |
| 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 | 18 | 2018 |
