Federico Divina

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 23

Top Topics

Demand Forecasting

Machine Learning

Biomedical Data

Top Venues

Publications

Aymeric Vellinger, J. F. Torres, Federico Divina, Wim Vanhoof
Neuroevolutionary Transfer Learning for Time Series Forecasting. SOCO (1) (2023)
Miguel García-Torres, Roberto Ruiz, Federico Divina
Evolutionary feature selection on high dimensional data using a search space reduction approach. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO (2022)
Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, Diego P. Pinto-Roa, José Luis Vázquez Noguera, Julio César Mello Román
Scatter search for high-dimensional feature selection using feature grouping. GECCO Companion (2021)
Aurelio López-Fernández, Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Federico Divina, Miguel García-Torres
A multi-GPU biclustering algorithm for binary datasets. J. Parallel Distributed Comput. 147 (2021)
José A. Gallardo, Miguel García-Torres, Francisco Gómez-Vela, Félix Morales, Federico Divina, David Becerra-Alonso, Gustavo Velázquez, Federico Daumas-Ladouce, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román
Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach. SOCO (2021)
Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, José Terrón-Bautista, Irene Delgado-Sainz, Francisco Gómez-Vela, Felipe Cortés-Ledesma
Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility. PLoS Comput. Biol. 17 (1) (2021)
Rodrigo Parra, Verena Ojeda, José Luis Vázquez Noguera, Miguel García-Torres, Julio César Mello Román, Cynthia Villalba, Jacques Facon, Federico Divina, Olivia Cardozo, Verónica Elisa Castillo, Ingrid Castro Matto
Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks. MIE (2021)
Jordan Ayala, Miguel García-Torres, José Luis Vázquez Noguera, Francisco Gómez-Vela, Federico Divina
Technical analysis strategy optimization using a machine learning approach in stock market indices. Knowl. Based Syst. 225 (2021)
Sebastián A. Grillo, Julio César Mello Román, Jorge Daniel Mello-Román, Jose Luis Vazquez Noguera, Miguel García-Torres, Federico Divina, Pedro E. Gardel-Sotomayor
Adjacent Inputs With Different Labels and Hardness in Supervised Learning. IEEE Access 9 (2021)
Viviana Elizabeth Jiménez Chaves, Miguel García-Torres, David Becerra-Alonso, Francisco Gómez-Vela, Federico Divina, Jose Luis Vazquez Noguera
Analysis of Student Achievement Scores via Cluster Analysis. ICEUTE (2020)
Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Miguel García-Torres, Federico Divina, Carlos D. Barranco, Norberto Díaz-Díaz, Manuel Jimenez, Gema Montalvo
Identifying livestock behavior patterns based on accelerometer dataset. J. Comput. Sci. 41 (2020)
Viviana Elizabeth Jiménez Chaves, Miguel García-Torres, José Luis Vázquez Noguera, César D. Cabrera Oviedo, Andrea Paola Riego Esteche, Federico Divina, Manuel Marrufo-Vázquez
Analysis of Teacher Training in Mathematics in Paraguay's Elementary Education System Using Machine Learning Techniques. CISIS-ICEUTE (2019)
Gustavo Sosa-Cabrera, Miguel García-Torres, Santiago Gómez-Guerrero, Christian E. Schaerer, Federico Divina
A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem. Inf. Sci. 494 (2019)
Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena, Miguel García-Torres, Federico Divina
Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks. Entropy 21 (12) (2019)
Miguel García-Torres, David Becerra-Alonso, Francisco Antonio Gómez Vela, Federico Divina, Isabel López-Cobo, Francisco Martínez-Álvarez
Analysis of Student Achievement Scores: A Machine Learning Approach. CISIS-ICEUTE (2019)
Brenda Quiñonez, Diego P. Pinto-Roa, Miguel García-Torres, María E. García-Díaz, Carlos Núñez-Castillo, Federico Divina
Map-Elites Algorithm for Features Selection Problem. AMW (2019)
Federico Divina, Miguel García-Torres, Ting Hu, Christian E. Schaerer
Soft Computing for Analysis of Biomedical Data. Comput. Math. Methods Medicine 2018 (2018)
Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, Francisco Antonio Gómez Vela, Felipe Cortés-Ledesma
Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach. EvoApplications (2018)
Francisco Fernández de Vega, Federico Divina, José Ignacio Hidalgo, Meng-Hiot Lim
Editorial. Memetic Comput. 10 (3) (2018)
Francisco Gómez-Vela, Aurelio López, José Antonio Lagares, Domingo S. Baena, Carlos D. Barranco, Miguel García-Torres, Federico Divina
Bioinformatics from a Big Data Perspective: Meeting the Challenge. IWBBIO (2) (2017)
Gustavo Sosa-Cabrera, Miguel García-Torres, Santiago Gómez, Christian Schaerer, Federico Divina
Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection. CoRR (2017)
Rafael Arias-Michel, Miguel García-Torres, Christian Schaerer, Federico Divina
Feature Selection Using Approximate Multivariate Markov Blankets. HAIS (2016)
Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Federico Divina, Jesús S. Aguilar-Ruiz
Evolutionary decision rules for predicting protein contact maps. Pattern Anal. Appl. 17 (4) (2014)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Cosme Ernesto Santiesteban-Toca
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor. CIARP (2) (2013)
Alfonso E. Márquez Chamorro, Federico Divina, Jaume Bacardit, Jesús S. Aguilar-Ruiz
An efficient decision rule-based system for the protein residue-residue contact prediction. IEEE Congress on Evolutionary Computation (2013)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca
A NSGA-II Algorithm for the Residue-Residue Contact Prediction. EvoBIO (2012)
Federico Divina, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz
An effective measure for assessing the quality of biclusters. Comput. Biol. Medicine 42 (2) (2012)
Jaume Bacardit, Pawel Widera, Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Natalio Krasnogor
Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features. Bioinform. 28 (19) (2012)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
A multi-objective genetic algorithm for the Protein Structure Prediction. ISDA (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
An Evolutionary Approach for Protein Contact Map Prediction. EvoBio (2011)
Michaël Marcozzi, Federico Divina, Jesús S. Aguilar-Ruiz, Wim Vanhoof
A novel probabilistic encoding for EAs applied to biclustering of microarray data. GECCO (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz
Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties. HAIS (2) (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz
Evolutionary computation for the prediction of secondary protein structures. SAC (2011)
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés
Alpha Helix Prediction Based on Evolutionary Computation. PRIB (2010)
Celine Dandois, Federico Divina, Wim Vanhoof
A multi-objective Evolutionary Concept Learner. IEEE Congress on Evolutionary Computation (2010)
Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz
Improved biclustering on expression data through overlapping control. Int. J. Intell. Comput. Cybern. 2 (3) (2009)
Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz
A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data. HIS (2008)
Federico Divina, Jesús S. Aguilar-Ruiz
A multi-objective approach to discover biclusters in microarray data. GECCO (2007)
Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz
Virtual Error: A New Measure for Evolutionary Biclustering. EvoBIO (2007)
Raúl Giráldez, Federico Divina, Beatriz Pontes, Jesús S. Aguilar-Ruiz
Evolutionary Search of Biclusters by Minimal Intrafluctuation. FUZZ-IEEE (2007)
Federico Divina, Paul Vogt
A Hybrid Model for Learning Word-Meaning Mappings. EELC (2006)
Nigel Gilbert, Matthijs den Besten, Ákos Bontovics, Bart G. W. Craenen, Federico Divina, Ágoston E. Eiben, Robert Griffioen, György Hévízi, András Lörincz, Ben Paechter, Stephan C. Schuster, Martijn C. Schut, Christian Tzolov, Paul Vogt, Lu Yang
Emerging Artificial Societies Through Learning. J. Artif. Soc. Soc. Simul. 9 (2) (2006)
Federico Divina
Evolutionary concept learning in First Order Logic: An overview. AI Commun. 19 (1) (2006)
Federico Divina, Jesús S. Aguilar-Ruiz
Biclustering of Expression Data with Evolutionary Computation. IEEE Trans. Knowl. Data Eng. 18 (5) (2006)
Jesús S. Aguilar-Ruiz, Federico Divina
Evolutionary computation for biclustering of gene expression. SAC (2005)
Jesús S. Aguilar-Ruiz, Federico Divina
GA-based approach to discover meaningful biclusters. GECCO (2005)
Jesús S. Aguilar-Ruiz, Federico Divina
Evolutionary Biclustering of Microarray Data. EvoWorkshops (2005)
Federico Divina, Elena Marchiori
Handling continuous attributes in an evolutionary inductive learner. IEEE Trans. Evol. Comput. 9 (1) (2005)
Federico Divina
Relational Inductive Learning with a Hybrid Evolutionary Algorithm. AI Commun. 18 (1) (2005)
Federico Divina, Paul Vogt
Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge. ECAL (2005)
Federico Divina
Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner. EuroGP (2005)
Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina
Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) (2004)
Jesús S. Aguilar-Ruiz, Raquel Costa, Federico Divina
Knowledge discovery from doctor-patient relationship. SAC (2004)
Federico Divina, Maarten Keijzer, Elena Marchiori
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners. GECCO (2003)
Federico Divina, Maarten Keijzer, Elena Marchiori
Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms. GECCO (2003)
Federico Divina, Elena Marchiori
Evolutionary Concept Learning. GECCO (2002)