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Journal Articles
- 2024
[j28]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: 111504 (2024)- [j27]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: 397-412 (2024) - 2023
- [j26]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): 255-270 (2023) - [j25]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: 815-832 (2023) - [j24]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): 80 (2023) - [j23]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: 101401 (2023) - 2022
- [j22]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): 44 (2022) - [j21]Miguel Ángel 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: 611-627 (2022) - [j20]Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, Ricardo 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: 109644 (2022) - 2021
- [j19]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): 1038-1052 (2021) - 2020
- [j18]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): 308-322 (2020) - [j17]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: 160-174 (2020) - 2019
- [j16]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: 120840-120856 (2019) - 2018
- [j15]Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, Inmaculada Vega, D. Gallego:
Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. Environ. Model. Softw. 106: 48-56 (2018) - [j14]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: 52-61 (2018) - [j13]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: 96-104 (2018) - [j12]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: 198-210 (2018) - [j11]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): 461 (2018) - [j10]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): 218 (2018) - 2017
- [j9]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): 303-320 (2017) - [j8]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): 949-966 (2017) - [j7]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): 1043-1055 (2017) - [j6]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): 324 (2017) - 2016
- [j5]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: 15-30 (2016) - [j4]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): 4205-4216 (2016) - 2015
- [j3]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: 398-410 (2015) - 2014
- [j2]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): 725-737 (2014) - 2011
- [j1]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz:
Predicting protein distance maps according to physicochemical properties. J. Integr. Bioinform. 8(3) (2011)
Conference and Workshop Papers
- 2023
- [c24]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: 15-26 - [c23]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: 441-448 - [c22]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: 121-131 - [c21]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: 132-141 - 2022
- [c20]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: 274-285 - [c19]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: 557-566 - 2021
- [c18]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: 511-523 - [c17]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: 717-727 - [c16]Joaquin Roiz-Pagador, Andres Chacon-Maldonado, Roberto Ruiz, Gualberto Asencio-Cortés:
Earthquake Prediction in California Using Feature Selection Techniques. SOCO 2021: 728-738 - 2020
- [c15]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: 522-533 - [c14]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: 741-750 - 2018
- [c13]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: 553-561 - 2015
- [c12]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
An Efficient Nearest Neighbor Method for Protein Contact Prediction. HAIS 2015: 50-60 - [c11]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: 393-404 - 2012
- [c10]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: 156-167 - [c9]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: 224-233 - [c8]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: 234-244 - 2011
- [c7]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. EvoBio 2011: 69-76 - [c6]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
An Evolutionary Approach for Protein Contact Map Prediction. EvoBio 2011: 101-110 - [c5]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: 153-158 - [c4]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: 1086-1090 - [c3]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: 271-277 - [c2]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB 2011: 279-283 - 2010
- [c1]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Alpha Helix Prediction Based on Evolutionary Computation. PRIB 2010: 358-367
Informal and Other Publications
- 2020
- [i1]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 abs/2003.13633 (2020)
Coauthor Index
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