Gualberto Asencio-Cortés

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Principal Component Analysis

Electricity Consumption

Top Venues

Publications

Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption. Future Gener. Comput. Syst. 154 (2024)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining deep learning models for ozone pollution prediction via embedded feature selection. Appl. Soft Comput. 157 (2024)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining Learned Patterns in Deep Learning by Association Rules Mining. SOCO (2) (2023)
Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. IWANN (2) (2023)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal. SAC (2023)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. J. Big Data 10 (1) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
PHILNet: A novel efficient approach for time series forecasting using deep learning. Inf. Sci. 632 (2023)
Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. SoftwareX 23 (2023)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. Log. J. IGPL 31 (2) (2023)
Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Néstor Duch-Brown
Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm. Inf. 13 (2) (2022)
Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, R. Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowl. Based Syst. 254 (2022)
Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. HAIS (2022)
M. A. Castán-Lascorz, P. Jiménez-Herrera, Alicia Troncoso Lora, Gualberto Asencio-Cortés
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting. Inf. Sci. 586 (2022)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. SOCO (2022)
M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO (2021)
M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. HAIS (2021)
Joaquin Roiz-Pagador, Andres Chacon-Maldonado, Roberto Ruiz, Gualberto Asencio-Cortés
Earthquake Prediction in California Using Feature Selection Techniques. SOCO (2021)
Antonio J. Pérez-Pulido, Gualberto Asencio-Cortés, Ana M. Brokate-Llanos, Gloria Brea-Calvo, Rosario Rodríguez-Griñolo, Andrés Garzón, Manuel J. Muñoz
Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators. Briefings Bioinform. 22 (2) (2021)
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8 (4) (2020)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. HAIS (2020)
Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. SOCO (2020)
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand. Inf. Sci. 540 (2020)
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR (2020)
Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access 7 (2019)
Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. Comput. Geosci. 115 (2018)
Xueyi Shang, Xibing Li, Antonio Morales-Esteban, Gualberto Asencio-Cortés, Zewei Wang
Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment. Remote. Sens. 10 (3) (2018)
Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE (2018)
Marcus W. Beck, Neeraj Bokde, Gualberto Asencio-Cortés, Kishore Kulat
R Package imputeTestbench to Compare Imputation Methods for Univariate Time Series. R J. 10 (1) (2018)
Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, José C. Riquelme
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. Environ. Model. Softw. 110 (2018)
Gualberto Asencio-Cortés, Antonio Morales-Esteban, Xueyi Shang, Francisco Martínez-Álvarez
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. Comput. Geosci. 115 (2018)
Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, I. Vega, D. Gallego
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. Environ. Model. Softw. 106 (2018)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Using principal component analysis to improve earthquake magnitude prediction in Japan. Log. J. IGPL 25 (6) (2017)
Gualberto Asencio-Cortés, Sanja Scitovski, Rudolf Scitovski, Francisco Martínez-Álvarez
Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction. Earth Sci. Informatics 10 (3) (2017)
Neeraj Bokde, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Kishore Kulat
PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. R J. 9 (1) (2017)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. Neural Comput. Appl. 28 (5) (2017)
Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
A novel methodology to predict urban traffic congestion with ensemble learning. Soft Comput. 20 (11) (2016)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. Knowl. Based Syst. 101 (2016)
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
An Efficient Nearest Neighbor Method for Protein Contact Prediction. HAIS (2015)
Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca, Jesús S. Aguilar-Ruiz
Soft computing methods for the prediction of protein tertiary structures: A survey. Appl. Soft Comput. 35 (2015)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. HAIS (2015)
Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Federico Divina, Jesús S. Aguilar-Ruiz
Evolutionary decision rules for predicting protein contact maps. Pattern Anal. Appl. 17 (4) (2014)
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, Roberto Ruiz, Cosme Ernesto Santiesteban-Toca
Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. EvoBIO (2012)
Cosme Ernesto Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz
Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. EvoBIO (2012)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca
A NSGA-II Algorithm for the Residue-Residue Contact Prediction. EvoBIO (2012)
Cosme Ernesto Santiesteban-Toca, Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz
A Decision Tree-Based Method for Protein Contact Map Prediction. EvoBio (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
A multi-objective genetic algorithm for the Protein Structure Prediction. ISDA (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
An Evolutionary Approach for Protein Contact Map Prediction. EvoBio (2011)
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. EvoBio (2011)
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities. PACBB (2011)
Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz
Predicting protein distance maps according to physicochemical properties. J. Integr. Bioinform. 8 (3) (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
Alpha Helix Prediction Based on Evolutionary Computation. PRIB (2010)