Gualberto Asencio Cortés

Gualberto Asencio Cortés

Associate Professor

Citations and socials

ResearchGate   linkedIn

Prof. Gualberto Asencio Cortés, Ph.D. is a Computer Science Engineer (University of Seville, 2008), Master in Software Engineering and Technology (University of Seville, 2010), Ph.D. (University of Pablo de Olavide, 2013) and he has an Executive Master in Innovation (EOI, Spain, 2016). He is Associate Professor of Computer Science (Profesor Titular de Universidad), in the area of ​​Languages ​​and Information Systems at the University of Pablo de Olavide. He is the author of more than 28 publications in impact journals according to JCR (20 of them between Q1 and Q2) and author of more than 30 articles in international and national conferences, most of them published in LNCS and LNBI. He has participated in three projects of the National Plan and three more of the Andalusian Research Plan. He is an editor of PLOS ONE (IF: 2.806, Q1), a regular reviewer of journals indexed in JCR (PLOS ONE, Bioinformatics, Neurocomputing, Computer and Geosciences, etc.) and member of the program committee in numerous international conferences. He has participated in more than 12 technology transfer contracts between the university and the company, including ISOTROL, Red Eléctrica Española and DETEA. He has 5 months of international research stays and 3 national months.

The research lines of Prof. Gualberto Asencio Cortés, Ph.D. are focused on data mining, machine learning, prediction of time series and bioinformatics, with different fields of application: prediction of natural series (seismic, air quality, meteorological, agronomic, …), prediction of electricity consumption and market prices, prediction of urban traffic, as well as bioinformatics in prediction of biological structures. He has also been data scientist and member of the steering committee responsible for artificial intelligence and data science technologies at the private company easytosee AgTech SL for more than 2 years (2015-2017).

Publications

60 entries « 1 of 4 »

2024

R. Pérez-Chacón and G. Asencio-Cortés and A. Troncoso and F. Martínez-Álvarez

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption Journal Article

Future Generation Computer Systems, 154 , pp. 397-412, 2024.

Abstract | Links | BibTeX

2023

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés

Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning Conference

IWANN 17th International Work-Conference on Artificial Neural Networks, 14135 , Lecture Notes in Computer Science 2023.

Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés

A New Deep Learning Architecture with Inductive Bias Balance for Oil Temperature Forecasting Journal Article

Journal of Big Data, 10 , pp. 80, 2023.

Abstract | Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Martínez-Álvarez and G. Asencio-Cortés

PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep Learning Journal Article

Information Sciences, 632 , pp. 815-832, 2023.

Abstract | Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Mártinez-Álvarez and A. Troncoso and G. Asencio-Cortés

From Simple to Complex: A Sequential Method for Enhancing Time Series Forecasting with Deep Learning Journal Article

Logic Journal of the IGPL, in press , 2023.

Abstract | BibTeX

A. M. Chacón-Maldonado and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer Journal Article

SoftwareX, 23 , pp. 101401, 2023.

Links | BibTeX

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption Journal Article

Logic Journal of the IGPL, 31 (2), pp. 255-270, 2023.

Abstract | Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and I. S. Brito and F. Martínez-Álvarez and G. Asencio-Cortés

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal Conference

SAC 38th Annual ACM Symposium on Applied Computing, 2023.

Abstract | Links | BibTeX

2022

M. Á. Molina and M. J. Jiménez-Navarro and R. Arjona and F. Mártinez-Álvarez and G. Asencio-Cortés

DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting Journal Article

Knowledge-Based Systems, 254 , pp. 109644, 2022.

Abstract | Links | BibTeX

A. M. Chacón-Maldonado and M. A. Molina and A. Troncoso and F. Martínez-Álvarez and G. Asencio-Cortés

Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning Conference

HAIS 17th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2022.

Links | BibTeX

A. Gómez-Losada and G. Asencio-Cortés and N. Duch-Brown

Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm Journal Article

Information, 13 (44), pp. 1–16, 2022.

Abstract | Links | BibTeX

M.A. Castán-Lascorz and P. Jiménez-Herrera and A. Troncoso and G. Asencio-Cortés

A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting Journal Article

Information Sciences, 586 , pp. 611–627, 2022.

Abstract | Links | BibTeX

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and I. S. Sousa Brito and F. Martínez-Álvarez and G. Asencio-Cortés

Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection Conference

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, 531 , Lecture Notes in Networks Systems 2022.

Links | BibTeX

2021

M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

M. A. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery Conference

HAIS 16th International Conference on Hybrid Artificial Intelligence Systems, 12886 , Lecture Notes in Computer Science 2021.

Links | BibTeX

60 entries « 1 of 4 »