Evolutionary Concept Learning. - Federico Divina; Elena Marchiori (GECCO, 2002)

A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners. - Federico Divina; Maarten Keijzer; Elena Marchiori (GECCO, 2003)

Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms. - Federico Divina; Maarten Keijzer; Elena Marchiori (GECCO, 2003)

Experimental Evaluation of Discretization Schemes for Rule Induction. - Jesús S. Aguilar-Ruiz; Jaume Bacardit; Federico Divina (GECCO (1), 2004)

Knowledge discovery from doctor-patient relationship. - Jesús S. Aguilar-Ruiz; Raquel Costa; Federico Divina (SAC, 2004)

Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge. - Federico Divina; Paul Vogt (ECAL, 2005)

Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner. - Federico Divina (EuroGP, 2005)

Evolutionary Biclustering of Microarray Data. - Jesús S. Aguilar-Ruiz; Federico Divina (EvoWorkshops, 2005)

GA-based approach to discover meaningful biclusters. - Jesús S. Aguilar-Ruiz; Federico Divina (GECCO, 2005)

Evolutionary computation for biclustering of gene expression. - Jesús S. Aguilar-Ruiz; Federico Divina (SAC, 2005)

Relational Inductive Learning with a Hybrid Evolutionary Algorithm. - Federico Divina (AI Commun., 2005)

Handling continuous attributes in an evolutionary inductive learner. - Federico Divina; Elena Marchiori (IEEE Trans. Evol. Comput., 2005)

A Hybrid Model for Learning Word-Meaning Mappings. - Federico Divina; Paul Vogt (EELC, 2006)

Evolutionary concept learning in First Order Logic: An overview. - Federico Divina (AI Commun., 2006)

Emerging Artificial Societies Through Learning. - 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; et al. (J. Artif. Soc. Soc. Simul., 2006)

Biclustering of Expression Data with Evolutionary Computation. - Federico Divina; Jesús S. Aguilar-Ruiz (IEEE Trans. Knowl. Data Eng., 2006)

Virtual Error: A New Measure for Evolutionary Biclustering. - Beatriz Pontes; Federico Divina; Raúl Giráldez; Jesús S. Aguilar-Ruiz (EvoBIO, 2007)

Evolutionary Search of Biclusters by Minimal Intrafluctuation. - Raúl Giráldez; Federico Divina; Beatriz Pontes; Jesús S. Aguilar-Ruiz (FUZZ-IEEE, 2007)

A multi-objective approach to discover biclusters in microarray data. - Federico Divina; Jesús S. Aguilar-Ruiz (GECCO, 2007)

A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data. - Beatriz Pontes; Federico Divina; Raúl Giráldez; Jesús S. Aguilar-Ruiz (HIS, 2008)

Improved biclustering on expression data through overlapping control. - Beatriz Pontes; Federico Divina; Raúl Giráldez; Jesús S. Aguilar-Ruiz (Int. J. Intell. Comput. Cybern., 2009)

A multi-objective Evolutionary Concept Learner. - Celine Dandois; Federico Divina; Wim Vanhoof (IEEE Congress on Evolutionary Computation, 2010)

Alpha Helix Prediction Based on Evolutionary Computation. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (PRIB, 2010)

An Evolutionary Approach for Protein Contact Map Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (EvoBio, 2011)

A novel probabilistic encoding for EAs applied to biclustering of microarray data. - Michaël Marcozzi; Federico Divina; Jesús S. Aguilar-Ruiz; Wim Vanhoof (GECCO, 2011)

Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz (HAIS (2), 2011)

A multi-objective genetic algorithm for the Protein Structure Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (ISDA, 2011)

Residue-Residue Contact Prediction Based on Evolutionary Computation. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Gualberto Asencio-Cortés (PACBB, 2011)

Evolutionary computation for the prediction of secondary protein structures. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz (SAC, 2011)

A NSGA-II Algorithm for the Residue-Residue Contact Prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Jaume Bacardit; Gualberto Asencio-Cortés; Cosme Ernesto Santiesteban-Toca (EvoBIO, 2012)

Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features. - Jaume Bacardit; Pawel Widera; Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Natalio Krasnogor (Bioinform., 2012)

An effective measure for assessing the quality of biclusters. - Federico Divina; Beatriz Pontes; Raúl Giráldez; Jesús S. Aguilar-Ruiz (Comput. Biol. Medicine, 2012)

An efficient decision rule-based system for the protein residue-residue contact prediction. - Alfonso E. Márquez Chamorro; Federico Divina; Jaume Bacardit; Jesús S. Aguilar-Ruiz (IEEE Congress on Evolutionary Computation, 2013)

Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor. - Alfonso E. Márquez Chamorro; Federico Divina; Jesús S. Aguilar-Ruiz; Cosme Ernesto Santiesteban-Toca (CIARP (2), 2013)

Evolutionary decision rules for predicting protein contact maps. - Alfonso E. Márquez Chamorro; Gualberto Asencio-Cortés; Federico Divina; Jesús S. Aguilar-Ruiz (Pattern Anal. Appl., 2014)

Feature Selection Using Approximate Multivariate Markov Blankets. - Rafael Arias-Michel; Miguel García-Torres; Christian Schaerer; Federico Divina (HAIS, 2016)

Bioinformatics from a Big Data Perspective: Meeting the Challenge. - Francisco Gómez-Vela; Aurelio López; José Antonio Lagares; Domingo S. Baena; Carlos D. Barranco; Miguel García-Torres; Federico Divina (IWBBIO (2), 2017)

Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection. - Gustavo Sosa-Cabrera; Miguel García-Torres; Santiago Gómez 001; Christian Schaerer; Federico Divina (CoRR, 2017)

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach. - Pedro Manuel Martínez García; Miguel García-Torres; Federico Divina; Francisco Antonio Gómez Vela; Felipe Cortés-Ledesma (EvoApplications, 2018)

Soft Computing for Analysis of Biomedical Data. - Federico Divina; Miguel García-Torres; Ting Hu 001; Christian E. Schaerer (Comput. Math. Methods Medicine, 2018)

Editorial. - Francisco Fernández de Vega; Federico Divina; José Ignacio Hidalgo; Meng-Hiot Lim (Memetic Comput., 2018)

Map-Elites Algorithm for Features Selection Problem. - Brenda Quiñonez; Diego P. Pinto-Roa; Miguel García-Torres; María E. García-Díaz; Carlos Nunez Castillo; Federico Divina (AMW, 2019)

Analysis of Teacher Training in Mathematics in Paraguay's Elementary Education System Using Machine Learning Techniques. - Viviana Elizabeth Jiménez Chaves; Miguel García-Torres; José Luis Vázquez Noguera; César D. Cabrera Oviedo; Andrea Paola Riego Esteche; Federico Divina; Manuel Marrufo-Vázquez (CISIS-ICEUTE, 2019)

Analysis of Student Achievement Scores: A Machine Learning Approach. - Miguel García-Torres; David Becerra-Alonso; Francisco Antonio Gómez Vela; Federico Divina; Isabel López-Cobo; Francisco Martínez-Álvarez (CISIS-ICEUTE, 2019)

Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks. - Francisco Gómez-Vela; Fernando M. Delgado-Chaves; Domingo S. Rodríguez-Baena; Miguel García-Torres; Federico Divina (Entropy, 2019)

A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem. - Gustavo Sosa-Cabrera; Miguel García-Torres; Santiago Gómez-Guerrero; Christian E. Schaerer; Federico Divina (Inf. Sci., 2019)

Analysis of Student Achievement Scores via Cluster Analysis. - Viviana Elizabeth Jiménez Chaves; Miguel García-Torres; David Becerra-Alonso; Francisco Gómez-Vela; Federico Divina; Jose Luis Vazquez Noguera (ICEUTE, 2020)

Identifying livestock behavior patterns based on accelerometer dataset. - Domingo S. Rodríguez-Baena; Francisco Gómez-Vela; Miguel García-Torres; Federico Divina; Carlos D. Barranco; Norberto Díaz-Díaz; Manuel Jiménez; Gema Montalvo (J. Comput. Sci., 2020)

Scatter search for high-dimensional feature selection using feature grouping. - Miguel García-Torres; Francisco Gómez-Vela; Federico Divina; Diego P. Pinto-Roa; José Luis Vázquez Noguera; Julio César Mello Román (GECCO Companion, 2021)

Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks. - 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 (MIE, 2021)

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach. - 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; et al. (SOCO, 2021)

Adjacent Inputs With Different Labels and Hardness in Supervised Learning. - Sebastián A. Grillo; Julio César Mello Román; Jorge Daniel Mello-Román; Jose Luis Vazquez Noguera; Miguel García-Torres; Federico Divina; Pedro E. Gardel-Sotomayor (IEEE Access, 2021)

A multi-GPU biclustering algorithm for binary datasets. - Aurelio López-Fernández; Domingo S. Rodríguez-Baena; Francisco Gómez-Vela; Federico Divina; Miguel García-Torres (J. Parallel Distributed Comput., 2021)

Technical analysis strategy optimization using a machine learning approach in stock market indices. - Jordan Ayala; Miguel García-Torres; José Luis Vázquez Noguera; Francisco Gómez-Vela; Federico Divina (Knowl. Based Syst., 2021)

Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility. - Pedro Manuel Martínez García; Miguel García-Torres; Federico Divina; José Terrón-Bautista; Irene Delgado-Sainz; Francisco Gómez-Vela; Felipe Cortés-Ledesma (PLoS Comput. Biol., 2021)

Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. - Juan Alberto Gallardo-Gómez; Federico Divina; Alicia Troncoso; Francisco Martínez-Álvarez (SOCO, 2022)

Neuroevolutionary Transfer Learning for Time Series Forecasting. - Aymeric Vellinger; J. F. Torres; Federico Divina; Wim Vanhoof (SOCO (1), 2023)

Evolutionary feature selection on high dimensional data using a search space reduction approach. - Miguel García-Torres; Roberto Ruiz; Federico Divina (Eng. Appl. Artif. Intell., 2023)

Machine learning for electric energy consumption forecasting: Application to the Paraguayan system. - Felix Morales-Mareco; Miguel García-Torres; Federico Divina; Diego H. Stalder; Carlos Sauer Ayala (Log. J. IGPL, 2024)

Data Mining for Enhancing Learning and Assessment to a Microcompetence-Based Methodology in Higher Education. - Aurelio López-Fernández; Federico Divina; Francisco Antonio Gómez Vela; Miguel García-Torres (Rev. Iberoam. de Tecnol. del Aprendiz., 2025)

BinRec: addressing data sparsity and cold-start challenges in recommender systems with biclustering. - Domingo S. Rodríguez-Baena; Francisco Gómez-Vela; Aurelio López-Fernández; Miguel García-Torres; Federico Divina (Appl. Intell., 2025)

RFMSU: A multivariate symmetrical uncertainty-based random forest. - Miguel García-Torres; Francisco Saucedo; Federico Divina; Santiago Gómez-Guerrero (Pattern Recognit., 2026)