Gualberto Asencio-Cortés
Orcid: 0000-0003-0874-1826
According to our database1,
Gualberto Asencio-Cortés
authored at least 50 papers
between 2010 and 2023.
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Bibliography
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
Inf. Sci., 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
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
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
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
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 J., 2018
Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment.
Remote. Sens., 2018
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
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
Soft Comput., 2016
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Knowl. Based Syst., 2016
2015
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
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
Pattern Anal. Appl., 2014
2012
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
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012
2011
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
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
2010
Proceedings of the Pattern Recognition in Bioinformatics, 2010