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

Projects

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.

Publications

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

38 entries « 1 of 3 »

2023

A. Vellinger and J. F. Torres and F. Divina and W. Vanhoof

Neuroevolutionary Transfer Learning for Time Series Forecasting Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 749 , Lecture Notes in Networks and Systems 2023.

Links | BibTeX

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

Dataset of fundus images for the diagnosis of ocular toxoplasmosis Journal Article

Data in Brief, pp. 109056, 2023.

Abstract | Links | BibTeX

M. García-Torres and R. Ruiz and F. Divina

Evolutionary feature selection on high dimensional data using a search space reduction approach Journal Article

Engineering Applications of Artificial Intelligence, 117 , pp. 105556, 2023.

Abstract | Links | BibTeX

2022

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

F. Delgado-Chaves and P. M. Martínez-García and A. Herrero-Ruiz and F. Gómez-Vela and F. Divina and S. Jimeno-González and F. Cortés-Ledesma

Data of transcriptional effects of the merbarone-mediated inhibition of TOP2 Journal Article

Data in Brief, 44 , pp. 108499, 2022.

Abstract | Links | BibTeX

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

J. A. Gallardo-Gómez and F. Divina and A. Troncoso and F. Martínez-Álvarez

Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem Conference

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2022.

Links | BibTeX

2021

M. García-Torres and F. Gómez-Vela and F. Divina and D.P. Pinto-Roa and J.L. Vázquez Noguera and J.C. Román

Scatter search for high-dimensional feature selection using feature grouping Conference

GECCO Genetic and Evolutionary Computation Conference, 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 Journal Article

Applied Sciences, 11 (3), pp. 1261, 2021.

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

J. A. Gallardo and M. García-Torres and F. Gómez-Vela and F. Morales and F. Divina and D. Becerra-Alonso and G. Velázquez and F. Daumas-Ladouce and J. L. Vázquez Noguera and C. Ayala Sauer

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach Conference

SOCO 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

38 entries « 1 of 3 »