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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2017

G. Asencio-Cortes and S. Scitovski and R. Scitovski and F. Martinez-Alvarez

Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction Journal Article

Earth Science Informatics, 3 (10), pp. 303-320, 2017, ISSN: 1865-0481.

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

Using principal component analysis to improve earthquake magnitude prediction in Japan Journal Article

Logical Journal of the IGPL, 25 (6), pp. 949-966, 2017.

Abstract | Links | BibTeX

2016

G. Asencio-Cortés and E. Florido and A. Troncoso and F. Martínez-Álvarez

A novel methodology to predict urban traffic congestion with ensemble learning Journal Article

Knowledge and Information Systems, 20 , pp. 4205–4216, 2016.

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G. Asencio-Cortés and F. Martínez-Álvarez

Supervised learning applied to urban traffic congestion forecasting Conference

KOI 16th International Conference on Operational Research, 2016, ISBN: 1849-5141.

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G. Asencio-Cortés and E. Florido and A. Troncoso and F. Martínez-Álvarez

A novel methodology to predict urban traffic congestion with ensemble learning Journal Article

Soft Computing, 20 (11), pp. 4205-4216, 2016.

Abstract | Links | BibTeX

N. Bokde and K. Kulat and M. Beck W and G. Asencio-Cortes

R package imputeTestbench to compare imputations methods for univariate time series Journal Article

R Journal, 2016, ISSN: 2073-4859.

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G. Asencio-Cortes and F. Martinez-Alvarez and A. Morales-Esteban and J. Reyes

A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction Journal Article

Knowledge-Based Systems, (101), pp. 15-30, 2016, ISSN: 0950-7051.

Abstract | Links | BibTeX

2015

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

A Survey on Data Mining Techniques Applied To Electricity-Related Time Series Forecasting Journal Article

Energies, 8 (11), pp. 13162-13193, 2015.

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A. E. Marquez-Chamorro and G. Asencio-Cortes and C. E. Santiesteban-Toca and J. S. Aguilar-Ruiz

Soft computing methods for the prediction of protein tertiary structures: A survey Journal Article

Applied Soft Computing, (35), pp. 398-410, 2015, ISSN: 1568-4946.

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G. Asencio-Cortes and J. S. Aguilar-Ruiz and A. E. Marquez-Chamorro

An Efficient Nearest Neighbor Method for Protein Contact Prediction Conference

Hybrid Artificial Intelligent Systems, 2015, ISBN: 978-3-319-19644-2.

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

Improving earthquake prediction with principal component analysis: Application to Chile Conference

HAIS 10th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2015.

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2014

A. E. Marquez-Chamorro and G. Asencio-Cortes and F. Divina and J. S. Aguilar-Ruiz

Evolutionary decision rules for predicting protein contact maps Journal Article

Pattern Analysis and Applications, 4 (17), pp. 725-737, 2014, ISSN: 1433-7541.

Abstract | Links | BibTeX

2012

G. Asencio-Cortes and J. S. Aguilar-Ruiz and A. E. Marquez-Chamorro and R. Ruiz and C. E. Santiesteban-Toca

Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly Conference

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, ISBN: 978-3-642-29066-4.

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A. E. Marquez-Chamorro and F. Divina and J. S. Aguilar-Ruiz and J. Bacardit and G. Asencio-Cortes and C. E. Santiesteban-Toca

A NSGA-II Algorithm for the Residue-Residue Contact Prediction Conference

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, ISBN: 978-3-642-29066-4.

Abstract | BibTeX

C. E. Santiesteban-Toca and G. Asencio-Cortes and A. E. Marquez-Chamorro and J. S. Aguilar-Ruiz

Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor Conference

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, ISBN: 978-3-642-29066-4.

Abstract | BibTeX

41 entries « 2 of 3 »