Gualberto Asencio-Cortés

60 papers C 1Misc 8Journal 35Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel interpretable ozone forecasting approach based on deep learning with masked residual connections. Environ. Model. Softw. Pablo Reina-Jiménez, M. J. Jiménez-Navarro, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, María Martínez-Ballesteros
2025	—	`conf`	A New Transformer-Based Hybrid Model to Forecast Olive Fruit Fly Using Multimodal Data. HAIS (1) Andrés Manuel Chacón-Maldonado, N. Martínez Van der Looven, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2025	J	`jnl`	A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images. Inf. Fusion Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Alicia Troncoso
2025	J	`jnl`	A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting. Neural Comput. Appl. Andrés Manuel Chacón-Maldonado, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2025	J	`jnl`	Embedded feature selection for neural networks via learnable drop layer. Log. J. IGPL M. J. Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2025	J	`jnl`	Improving monsoon forecasting based on feature selection and explainable artificial intelligence. Appl. Soft Comput. Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2024	J	`jnl`	Explaining deep learning models for ozone pollution prediction via embedded feature selection. Appl. Soft Comput. M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2024	J	`jnl`	From simple to complex: a sequential method for enhancing time series forecasting with deep learning. Log. J. IGPL M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2024	J	`jnl`	Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption. Future Gener. Comput. Syst. Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2023	Misc	`conf`	A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal. SAC Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023	J	`jnl`	A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. J. Big Data Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023	—	`conf`	Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. IWANN (2) M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023	—	`conf`	Explaining Learned Patterns in Deep Learning by Association Rules Mining. SOCO (2) M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023	J	`jnl`	FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. SoftwareX Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
2023	—	`conf`	Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
2023	J	`jnl`	PHILNet: A novel efficient approach for time series forecasting using deep learning. Inf. Sci. M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023	J	`jnl`	Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. Log. J. IGPL P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2022	J	`jnl`	A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting. Inf. Sci. Miguel Ángel Castán-Lascorz, P. Jiménez-Herrera, Alicia Troncoso Lora, Gualberto Asencio-Cortés
2022	J	`jnl`	Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm. Inf. Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Néstor Duch-Brown
2022	J	`jnl`	DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowl. Based Syst. Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, Ricardo Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022	—	`conf`	Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. SOCO Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022	Misc	`conf`	Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. HAIS Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2021	Misc	`conf`	A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. HAIS M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2021	—	`conf`	Earthquake Prediction in California Using Feature Selection Techniques. SOCO Joaquin Roiz-Pagador, Andres Chacon-Maldonado, Roberto Ruiz, Gualberto Asencio-Cortés
2021	—	`conf`	HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2021	J	`jnl`	Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators. Briefings Bioinform. Antonio J. Pérez-Pulido, Gualberto Asencio-Cortés, Ana M. Brokate-Llanos, Gloria Brea-Calvo, Rosario Rodríguez-Griñolo, Andrés Garzón, Manuel J. Muñoz
2020	Misc	`conf`	A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. HAIS P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2020	—	`conf`	A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. SOCO Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez
2020	J	`jnl`	Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand. Inf. Sci. Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2020	J	`jnl`	Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 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
2020	J	`jnl`	Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR 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
2019	J	`jnl`	A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
2018	J	`jnl`	A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. Environ. Model. Softw. Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, José C. Riquelme
2018	J	`jnl`	A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. Comput. Geosci. Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
2018	J	`jnl`	Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment. Remote. Sens. Xueyi Shang, Xibing Li, Antonio Morales-Esteban, Gualberto Asencio-Cortés, Zewei Wang
2018	J	`jnl`	Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. Comput. Geosci. Gualberto Asencio-Cortés, Antonio Morales-Esteban, Xueyi Shang, Francisco Martínez-Álvarez
2018	J	`jnl`	Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. Environ. Model. Softw. Alicia Troncoso Lora, P. Ribera, Gualberto Asencio-Cortés, Inmaculada Vega, D. Gallego
2018	—	`conf`	Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
2018	J	`jnl`	R Package imputeTestbench to Compare Imputation Methods for Univariate Time Series. R J. Marcus W. Beck, Neeraj Bokde, Gualberto Asencio-Cortés, Kishore Kulat
2017	J	`jnl`	Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. Neural Comput. Appl. Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
2017	J	`jnl`	PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. R J. Neeraj Bokde, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Kishore Kulat
2017	J	`jnl`	Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction. Earth Sci. Informatics Gualberto Asencio-Cortés, Sanja Scitovski, Rudolf Scitovski, Francisco Martínez-Álvarez
2017	J	`jnl`	Using principal component analysis to improve earthquake magnitude prediction in Japan. Log. J. IGPL Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2016	J	`jnl`	A novel methodology to predict urban traffic congestion with ensemble learning. Soft Comput. Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
2016	J	`jnl`	A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. Knowl. Based Syst. Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes
2015	Misc	`conf`	An Efficient Nearest Neighbor Method for Protein Contact Prediction. HAIS Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
2015	Misc	`conf`	Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. HAIS Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2015	J	`jnl`	Soft computing methods for the prediction of protein tertiary structures: A survey. Appl. Soft Comput. Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca, Jesús S. Aguilar-Ruiz
2014	J	`jnl`	Evolutionary decision rules for predicting protein contact maps. Pattern Anal. Appl. Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Federico Divina, Jesús S. Aguilar-Ruiz
2012	—	`conf`	A NSGA-II Algorithm for the Residue-Residue Contact Prediction. EvoBIO Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca
2012	—	`conf`	Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. EvoBIO Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, Roberto Ruiz, Cosme Ernesto Santiesteban-Toca
2012	—	`conf`	Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. EvoBIO Cosme Ernesto Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz
2011	—	`conf`	A Decision Tree-Based Method for Protein Contact Map Prediction. EvoBio Cosme Ernesto Santiesteban-Toca, Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz
2011	—	`conf`	A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. EvoBio Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
2011	C	`conf`	A multi-objective genetic algorithm for the Protein Structure Prediction. ISDA Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
2011	—	`conf`	An Evolutionary Approach for Protein Contact Map Prediction. EvoBio Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
2011	J	`jnl`	Predicting protein distance maps according to physicochemical properties. J. Integr. Bioinform. Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz
2011	Misc	`conf`	Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities. PACBB Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
2011	Misc	`conf`	Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
2010	—	`conf`	Alpha Helix Prediction Based on Evolutionary Computation. PRIB Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés