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

24 entries « 1 of 2 »

2020

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

A. López-Fernández and D. Rodriguez-Baena and F. Gómez-Vela and F. Divina and M. García-Torres

A multi-GPU biclustering algorithm for binary datasets Journal Article

Journal of Parallel and Distributed Computing, 147 , pp. 209-219, 2020.

Abstract | BibTeX

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

24 entries « 1 of 2 »