Federico Divina

Federico Divina

Associate Professor

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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.

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.

Publications

19 entries « 1 of 2 »

2019

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

V.E. Jiménez Chaves and M. García-Torres and J. Luis Vázquez Noguera and C.D. Cabrera Oviedo and A.P. Riego Esteche and F. Divina and M. Marrufo-Vázquez

Analysis of Teacher Training in Mathematics in Paraguay’s Elementary Education System Using Machine Learning Techniques Conference

International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019.

Links | BibTeX

F. M Delgado-Chaves and F. Gómez-Vela and M. García-Torres and F. Divina and J. Luis Vázquez Noguera

Computational Inference of Gene Co-Expression Networks for the identification of Lung Carcinoma Biomarkers: An Ensemble Approach Journal Article

Genes, 10 (12), pp. 962, 2019.

Abstract | 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

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

A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings Journal Article

Applied Sciences, 12 (10), pp. 1934, 2019.

Abstract | Links | BibTeX

G. Sosa-Cabrera and M. García-Torres and S. Gómez-Guerrero and C.E. Schaerer and F. Divina

A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem Journal Article

Information Sciences, 494 , pp. 1–20, 2019.

Abstract | Links | BibTeX

2018

P. Manuel Martínez-García and M. García-Torres and F. Divina and F. Gómez-Vela and F. Cortés-Ledesma

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach Conference

International Conference on the Applications of Evolutionary Computation, 2018.

Links | BibTeX

G. Sosa-Cabrera and M. García-Torres and S. Gómez Guerrero and C.E. Schaerer and F. Divina

Understanding a multivariate semi-metric in the search strategies for attributes subset selection Conference

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 2018.

Links | BibTeX

F. Divina and A. Gilson and F. Goméz-Vela and M. García-Torres and J. F. Torres

Stacking ensemble learning for short-term electricity consumption forecasting Journal Article

Energies, 11 (4), pp. 949, 2018.

Abstract | Links | BibTeX

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

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

2011

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

A multi-objective genetic algorithm for the Protein Structure Prediction Conference

2011 11th International Conference on Intelligent Systems Design and Applications, 2011, ISSN: 2164-7151.

Links | BibTeX

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

Residue-Residue Contact Prediction Based on Evolutionary Computation Conference

5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011), Springer Berlin Heidelberg, 2011, ISBN: 978-3-642-19914-1.

Abstract | BibTeX

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

An Evolutionary Approach for Protein Contact Map Prediction Conference

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011, ISBN: 978-3-642-20389-3.

Abstract | BibTeX

19 entries « 1 of 2 »