Gualberto Asencio-Cortés

Orcid: 0000-0003-0874-1826

According to our database1, Gualberto Asencio-Cortés authored at least 52 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption.
Future Gener. Comput. Syst., 2024

Explaining deep learning models for ozone pollution prediction via embedded feature selection.
Appl. Soft Comput., 2024

2023
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting.
J. Big Data, December, 2023

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer.
SoftwareX, July, 2023

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.
Log. J. IGPL, March, 2023

PHILNet: A novel efficient approach for time series forecasting using deep learning.
Inf. Sci., 2023

Explaining Learned Patterns in Deep Learning by Association Rules Mining.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning.
Proceedings of the Advances in Computational Intelligence, 2023

2022
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting.
Knowl. Based Syst., 2022

A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting.
Inf. Sci., 2022

Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm.
Inf., 2022

Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021
Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators.
Briefings Bioinform., 2021

Earthquake Prediction in California Using Feature Selection Techniques.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Inf. Sci., 2020

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

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System.
IEEE Access, 2019

2018
R Package imputeTestbench to Compare Imputation Methods for Univariate Time Series.
R J., 2018

Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment.
Remote. Sens., 2018

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs.
Comput. Geosci., 2018

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure.
Comput. Geosci., 2018

Imbalanced classification techniques for monsoon forecasting based on a new climatic time series.
Environ. Model. Softw., 2018

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information.
Environ. Model. Softw., 2018

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

2017
PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm.
R J., 2017

Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl., 2017

Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL, 2017

Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction.
Earth Sci. Informatics, 2017

2016
A novel methodology to predict urban traffic congestion with ensemble learning.
Soft Comput., 2016

A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Knowl. Based Syst., 2016

2015
Soft computing methods for the prediction of protein tertiary structures: A survey.
Appl. Soft Comput., 2015

Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

An Efficient Nearest Neighbor Method for Protein Contact Prediction.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

2014
Evolutionary decision rules for predicting protein contact maps.
Pattern Anal. Appl., 2014

2012
Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

A NSGA-II Algorithm for the Residue-Residue Contact Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011
Predicting protein distance maps according to physicochemical properties.
J. Integr. Bioinform., 2011

Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Residue-Residue Contact Prediction Based on Evolutionary Computation.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

A multi-objective genetic algorithm for the Protein Structure Prediction.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A Decision Tree-Based Method for Protein Contact Map Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

An Evolutionary Approach for Protein Contact Map Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010
Alpha Helix Prediction Based on Evolutionary Computation.
Proceedings of the Pattern Recognition in Bioinformatics, 2010


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