Gualberto Asencio Cortés

Gualberto Asencio Cortés

Associate Professor

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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, in the area of ​​Languages ​​and Information Systems at the University of Pablo de Olavide. He is the author of 25 publications in impact journals according to JCR (19 of them between Q1 and Q2) and author of more than 25 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 8 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

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2022

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

J. Roiz-Pagador and A. Chacon-Maldonado and R. Ruiz and G. Asencio-Cortes

Earthquake Prediction in California using Feature Selection techniques Conference

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), Advances in Intelligent Systems and Computing 2022.

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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, (in press) , pp. 1–20, 2022.

Abstract | 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, 12886 , Lecture Notes in Computer Science 2021.

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M. A. Molina and G. Asencio-Cortés and J. C. Riquelme and F. Martínez-Álvarez

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets Conference

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

A. J. Pérez-Pulido and G. Asencio-Cortés and A. M. Brokate-Llanos and G. Brea-Calvo and M. R. Rodríguez-Griñolo and A. Garzón and M. J. Muñoz

Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators Journal Article

Briefings in Bioinformatics, 22 (2), pp. 1038–1052, 2021.

Abstract | Links | BibTeX

2020

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

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series Conference

HAIS 15th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2020.

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F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

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

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand Journal Article

Information Sciences, 540 , pp. 160-174, 2020.

Abstract | Links | BibTeX

2019

C. Gómez-Quiles and G. Asencio-Cortés and A. Gastalver-Rubio and F. Martínez-Álvarez and A. Troncoso and J. Manresa and J. C. Riquelme and J. M. Riquelme

A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system Journal Article

IEEE Access, 7 , pp. 120840-120856, 2019.

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F. Martinez-Alvarez and A. Schmutz and G. Asencio-Cortes and J. Jacques

A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand Journal Article

Energies, 12 (94), pp. 1-18, 2019, ISSN: 1996-1073.

Abstract | Links | BibTeX

2018

C. Rubio-Escudero and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses Conference

ICEUTE 9th International Conference on European Transnational Education, 771 , Advances in Intelligent Systems and Computing 2018.

Abstract | Links | BibTeX

A. Troncoso and P. Ribera and G. Asencio-Cortés and I. Vega and D. Gallego

Imbalanced classification techniques for monsoon forecasting based on a new climatic time series Journal Article

Environmental Modelling & Software, 106 (6), pp. 48-56, 2018.

Abstract | Links | BibTeX

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