Alpha Helix Prediction Based on Evolutionary Computation. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (PRIB, 2010)

An Evolutionary Approach for Protein Contact Map Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (EvoBio, 2011)

A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz; Alfonso E. Márquez Chamorro (EvoBio, 2011)

A Decision Tree-Based Method for Protein Contact Map Prediction. - Cosme Ernesto Santiesteban-Toca; Alfonso E. Márquez Chamorro; Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz (EvoBio, 2011)

A multi-objective genetic algorithm for the Protein Structure Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (ISDA, 2011)

Residue-Residue Contact Prediction Based on Evolutionary Computation. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (PACBB, 2011)

Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz; Alfonso E. Márquez Chamorro (PACBB, 2011)

Predicting protein distance maps according to physicochemical properties. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz (J. Integr. Bioinform., 2011)

A NSGA-II Algorithm for the Residue-Residue Contact Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Jaume Bacardit; Gualberto Asencio-Cortés; Cosme Ernesto Santiesteban-Toca (EvoBIO, 2012)

Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz; Alfonso E. Márquez Chamorro; Roberto Ruiz; Cosme Ernesto Santiesteban-Toca (EvoBIO, 2012)

Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. - Cosme Ernesto Santiesteban-Toca; Gualberto Asencio-Cortés; Alfonso E. Márquez Chamorro; Jesús S. Aguilar-Ruiz (EvoBIO, 2012)

Evolutionary decision rules for predicting protein contact maps. - Alfonso E. Márquez Chamorro; Gualberto Asencio-Cortés; Federico Divina; Jesús S. Aguilar-Ruiz (Pattern Anal. Appl., 2014)

An Efficient Nearest Neighbor Method for Protein Contact Prediction. - Gualberto Asencio-Cortés; Jesús S. Aguilar-Ruiz; Alfonso E. Márquez Chamorro (HAIS, 2015)

Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Antonio Morales-Esteban; Jorge Reyes; Alicia Troncoso Lora (HAIS, 2015)

Soft computing methods for the prediction of protein tertiary structures: A survey. - Alfonso E. Márquez Chamorro; Gualberto Asencio-Cortés; Cosme Ernesto Santiesteban-Toca; Jesús S. Aguilar-Ruiz (Appl. Soft Comput., 2015)

A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; A. Morales-Esteban; Jorge Reyes (Knowl. Based Syst., 2016)

A novel methodology to predict urban traffic congestion with ensemble learning. - Gualberto Asencio-Cortés; Emilio Florido; Alicia Troncoso; Francisco Martínez-Álvarez (Soft Comput., 2016)

Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction. - Gualberto Asencio-Cortés; Sanja Scitovski; Rudolf Scitovski; Francisco Martínez-Álvarez (Earth Sci. Informatics, 2017)

Using principal component analysis to improve earthquake magnitude prediction in Japan. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; A. Morales-Esteban; Jorge Reyes; Alicia Troncoso Lora (Log. J. IGPL, 2017)

Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso Lora; A. Morales-Esteban (Neural Comput. Appl., 2017)

PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. - Neeraj Bokde; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Kishore Kulat (R J., 2017)

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. - Cristina Rubio-Escudero; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso; José C. Riquelme (SOCO-CISIS-ICEUTE, 2018)

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. - Álvaro Gómez-Losada; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; José C. Riquelme (Environ. Model. Softw., 2018)

Imbalanced classification techniques for monsoon forecasting based on a new climatic time series. - Alicia Troncoso Lora; P. Ribera; Gualberto Asencio-Cortés; Inmaculada Vega; D. Gallego (Environ. Model. Softw., 2018)

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. - Gualberto Asencio-Cortés; Antonio Morales-Esteban; Xueyi Shang; Francisco Martínez-Álvarez (Comput. Geosci., 2018)

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. - Emilio Florido; Gualberto Asencio-Cortés; José Luis Aznarte; Cristina Rubio-Escudero; Francisco Martínez-Álvarez (Comput. Geosci., 2018)

Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment. - Xueyi Shang; Xibing Li; Antonio Morales-Esteban; Gualberto Asencio-Cortés; Zewei Wang (Remote. Sens., 2018)

R Package imputeTestbench to Compare Imputation Methods for Univariate Time Series. - Marcus W. Beck; Neeraj Bokde; Gualberto Asencio-Cortés; Kishore Kulat (R J., 2018)

A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. - Catalina Gomez-Quiles; Gualberto Asencio-Cortés; Adolfo Gastalver-Rubio; Francisco Martínez-Álvarez; Alicia Troncoso; Joan Manresa; José C. Riquelme; Jesús Manuel Riquelme-Santos (IEEE Access, 2019)

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. - P. Jiménez-Herrera; Laura Melgar-García; Gualberto Asencio-Cortés; Alicia Troncoso (HAIS, 2020)

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. - Miguel Ángel Molina; Gualberto Asencio-Cortés; José C. Riquelme; Francisco Martínez-Álvarez (SOCO, 2020)

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. - 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 (Big Data, 2020)

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand. - Rubén Pérez-Chacón; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso Lora (Inf. Sci., 2020)

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. - M. Á. Molina; M. J. Jiménez-Navarro; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (HAIS, 2021)

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. - M. J. Jiménez-Navarro; Francisco Martínez-Álvarez; Alicia Troncoso; Gualberto Asencio-Cortés (SOCO, 2021)

Earthquake Prediction in California Using Feature Selection Techniques. - Joaquin Roiz-Pagador; Andres Chacon-Maldonado; Roberto Ruiz; Gualberto Asencio-Cortés (SOCO, 2021)

Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators. - Antonio J. Pérez-Pulido; Gualberto Asencio-Cortés; Ana M. Brokate-Llanos; Gloria Brea-Calvo; Rosario Rodríguez-Griñolo; Andrés Garzón; Manuel J. Muñoz (Briefings Bioinform., 2021)

Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. - Andrés Manuel Chacón-Maldonado; Miguel Angel Molina-Cabanillas; Alicia Troncoso; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (HAIS, 2022)

Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. - Manuel Jesús Jiménez-Navarro; María Martínez-Ballesteros; Isabel Sofia Sousa Brito; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (SOCO, 2022)

Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm. - Álvaro Gómez-Losada; Gualberto Asencio-Cortés; Néstor Duch-Brown (Inf., 2022)

A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting. - Miguel Ángel Castán-Lascorz; P. Jiménez-Herrera; Alicia Troncoso Lora; Gualberto Asencio-Cortés (Inf. Sci., 2022)

DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. - Miguel Angel Molina-Cabanillas; M. J. Jiménez-Navarro; Ricardo Arjona; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (Knowl. Based Syst., 2022)

Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. - M. J. Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (IWANN (2), 2023)

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal. - Manuel Jesús Jiménez-Navarro; María Martínez-Ballesteros; Isabel Sofia Brito; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (SAC, 2023)

Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. - Andrés Manuel Chacón-Maldonado; A. R. Troncoso-García; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés; Alicia Troncoso (SOCO (2), 2023)

Explaining Learned Patterns in Deep Learning by Association Rules Mining. - M. J. Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (SOCO (2), 2023)

PHILNet: A novel efficient approach for time series forecasting using deep learning. - M. J. Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (Inf. Sci., 2023)

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. - P. Jiménez-Herrera; Laura Melgar-García; Gualberto Asencio-Cortés; Alicia Troncoso Lora (Log. J. IGPL, 2023)

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. - Andrés Manuel Chacón-Maldonado; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso (SoftwareX, 2023)

A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. - Manuel Jesús Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (J. Big Data, 2023)

Explaining deep learning models for ozone pollution prediction via embedded feature selection. - M. J. Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (Appl. Soft Comput., 2024)

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption. - Rubén Pérez-Chacón; Gualberto Asencio-Cortés; Alicia Troncoso Lora; Francisco Martínez-Álvarez (Future Gener. Comput. Syst., 2024)

From simple to complex: a sequential method for enhancing time series forecasting with deep learning. - M. J. Jiménez-Navarro; María Martínez-Ballesteros; Francisco Martínez-Álvarez; Alicia Troncoso; Gualberto Asencio-Cortés (Log. J. IGPL, 2024)

A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images. - Andrés Manuel Chacón-Maldonado; Gualberto Asencio-Cortés; Alicia Troncoso (Inf. Fusion, 2025)

A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting. - Andrés Manuel Chacón-Maldonado; Laura Melgar-García; Gualberto Asencio-Cortés; Alicia Troncoso (Neural Comput. Appl., 2025)