Federico Divina

Federico Divina

Associate Professor

Citations and socials

Google Scholar   linkedIn   orcid   scopus    researchgate

Federico Divina obtained his Ph.D. in Artificial Intelligence from the Vrije Universiteit of Amsterdam, and after that he worked as a postdoc at the University of Tilburg, within the European project NEWTIES. In 2006 he moved to the Pablo de Olavide University, where he is actually an Associate Professor.

He has been working on knowledge extraction since his Ph.D. thesis at the Vrije Universiteit of Amsterdam. He has extensive experience in the application of Machine Learning, especially techniques based on Soft Computing, for the extraction of knowledge from massive data.

His main research interests are:

  • Bioinformatics
  • Evolutionary Computation
  • Machine Learning
  • Big Data


Federico Divina has participated in various research project projects, for instance:

  • Differential: this project aims to develop new tools and methods to manage and analyse information coming from several sources with the final goal of better understanding how and when energy is consumed in distributed facilities. This project was developed as a coordinated project with three complementary research groups from three different universities (Universidad de Granada, Universidad Pablo de Olavide and Universidad de Castilla La Mancha).
  • GALICIAME: project that aimed at applying machine learning tools in order to extract knowledge from genetic data related to spinal muscular atrophy (SMA), in collaboration with the “Centro Andaluz de Biología del Desarrollo” (CABD).
  • NEWTIES: EU project that aimed at developing an artificial society. This project involved the Vrije Universiteit van Amsterm, the University of Tilburg, the Napier University, University of Surrey, Napier University and Eötvös Loránd University.


For a complete list of my publications, please visit my Google Scholar Profile or my ORCID.

32 entries « 1 of 3 »


F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study Journal Article

Electronics, 11 (2), pp. 267, 2022.

Abstract | Links | BibTeX

G. Velázquez and F. Morales and M. García-Torres and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and F. Daumas-Ladouce and C. Ayala and D. Pinto-Roaand P. Gardel-Sotomayor

Distribution level Electric current consumption and meteorological data set of the East region of Paraguay Journal Article

Data in Brief, 40 , pp. 107699, 2022.

Abstract | Links | BibTeX


A. Lopez-Fernandez and D. Rodriguez-Baena and F. Gomez-Vela and F. Divina and M. Garcia-Torres

A multi-GPU biclustering algorithm for binary datasets Journal Article

Journal of Parallel and Distributed Computing, 147 , pp. 209–219, 2021.

Links | BibTeX

R. Parra and V. Ojeda and J.L. Vázquez Noguera and M. García-Torres and J.C. Mello-Román and C. Villalba and J. Facon and F. Divina and O. Cardozo and V. Castillo

A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images Journal Article

Diagnostics, 11 (11), pp. 1951, 2021.

Links | BibTeX

P.M. Martínez-García and M. García-Torres and F. Divina and J. Terrón-Bautista and I. Delgado-Sainz and F. Gómez-Vela and F. Cortés-Ledesma

Genome-wide prediction of topoisomerase II $beta$ binding by architectural factors and chromatin accessibility Journal Article

PLoS computational biology, 17 (1), pp. e1007814, 2021.

Links | BibTeX

S.A. Grillo and J.C. Román and J.D. Mello-Román and J.L. Vázquez Noguera and M. García-Torres and F. Divina and P.E. Sotomayor

Adjacent Inputs With Different Labels and Hardness in Supervised Learning Journal Article

IEEE Access, pp. 162487–162498, 2021.

Links | BibTeX

J. Ayala and M. García-Torres and J.L. Vázquez Noguera and F. Gómez-Vela and F. Divina

Technical analysis strategy optimization using a machine learning approach in stock market indices Journal Article

Knowledge-Based Systems, pp. 107119, 2021.

Links | BibTeX

F. Divina and F. Gómez-Vela and M. García-Torres

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast


Links | BibTeX


F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting Journal Article

Applied Sciences, 10 (16), pp. 5487, 2020.

Abstract | Links | BibTeX

F. M. Delgado-Chaves and F. Gómez-Vela and F. Divina and M. García-Torres and D. S. Rodríguez-Baena

Computational Analysis of the Global Effects of Ly6E in the Immune Response to Coronavirus Infection Using Gene Networks Journal Article

Genes, 11 (7), pp. 831-864, 2020.

Abstract | BibTeX

D. S. Rodríguez-Baena and F. Gómez-Vela and M. García-Torres and F. Divina and C. D. Barranco and N- Díaz-Díaz and M. Jimenez and G. Montalvo

Identifying livestock behavior patterns based on accelerometer dataset Journal Article

Journal of Computational Science, 41 , pp. 101076, 2020.

Abstract | Links | BibTeX

T. Vanhaeren and F. Divina and M. García-Torres and F. Gómez-Vela and W. Vanhoof and P. M. Martínez-García

A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions Journal Article

Genes, 11 (9), pp. 985, 2020.

Abstract | BibTeX


M. García-Torres and D. Becerra-Alonso and F. A Gómez-Vela and F. Divina and I. López Cobo and F. Martínez-Álvarez

Analysis of Student Achievement Scores: A Machine Learning Approach Conference

ICEUTE 10th International Conference on EUropean Transnational Education, Advances in Intelligent Systems and Computing 2019.

Links | BibTeX

F. Gómez-Vela and F. M Delgado-Chaves and D.S. Rodríguez-Baena and M. García-Torres and F. Divina

Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks Journal Article

Entropy, 21 (12), pp. 1139, 2019.

Abstract | Links | BibTeX

E.L. Mangas and A. Rubio and R. Álvarez-Marín and G. Labrador-Herrera and J. Pachón and M. Eugenia Pachón-Ibáñez and F. Divina and A.J. Pérez-Pulido

Pangenome of Acinetobacter baumannii uncovers two groups of genomes, one of them with genes involved in CRISPR/Cas defence systems associated with the absence of plasmids and exclusive genes for biofilm formation Journal Article

Microbial Genomics, pp. mgen000309, 2019.

Abstract | Links | BibTeX

32 entries « 1 of 3 »