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 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 21 publications in impact journals according to JCR (18 of them between Q1 and Q2) and author of more than 22 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 7 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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2020

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 (in press), 2020.

Abstract | 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 (in press), 2020.

Abstract | 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.

Links | BibTeX

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

A. Gomez-Losada and G. Asencio-Cortes and F. Martinez-Alvarez and J. C. Riquelme

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information Journal Article

Environmental Modelling and Software, (110), pp. 52-61, 2018, ISSN: 1364-8152.

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E. Florido and G. Asencio-Cortes and J. L. Aznarte and C. Rubio-Escudero and F. Martinez-Alvarez

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs Journal Article

Computers and Geosciences, (115), pp. 96-104, 2018, ISSN: 0098-3004.

Abstract | Links | BibTeX

G. Asencio-Cortes and A. Morales-Esteban and X. Shang and F. Martinez-Alvarez

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure Journal Article

Computers and Geosciences, (115), pp. 198-210, 2018, ISSN: 0098-3004.

Abstract | Links | BibTeX

X. Shang and X. Li and A. Morales-Esteban and G. Asencio-Cortes and Z. Wang

Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment Journal Article

Remote Sensing, 10 (461), pp. 1-22, 2018, ISSN: 2072-4292.

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2017

N. Bokde and A. Troncoso and G. Asencio-Cortés and K. Kulat and F. Martínez-Álvarez

Pattern sequence similarity based techniques for wind speed forecasting Conference

ITISE International Work-Conference on Time Series Analysis, 2017.

BibTeX

N. Bokde and G. Asencio-Cortes and F. Martinez-Alvarez and K. Kulat

PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm Journal Article

R Journal, 1 (9), pp. 324-333, 2017, ISSN: 2073-4859.

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J. L. Amaro-Mellado and A. Morales-Esteban and G. Asencio-Cortes and F. Martinez-Alvarez

Comparing seismic parameters for different source zone models in the Iberian Peninsula Journal Article

Tectonophysics, (717), pp. 449-472, 2017, ISSN: 0040-1951.

Abstract | Links | BibTeX

M. J. Fernández-Gómez and G. Asencio-Cortés and A. Troncoso and F. Martínez-Álvarez

Large earthquake magnitude prediction in Chile with imbalanced classifiers and ensemble learning Journal Article

Applied Sciences, 7 (6), pp. 625, 2017.

Abstract | Links | BibTeX

G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and A. Morales-Esteban

Medium-Large earthquake magnitude prediction in Tokyo with artificial neural networks Journal Article

Neural Computing and Applications, 28 (5), pp. 1043-1055, 2017.

Abstract | Links | BibTeX

41 entries « 1 of 3 »