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2020 – today
- 2023
[j19]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): 105556 (2023)- [c38]Aymeric Vellinger, J. F. Torres, Federico Divina, Wim Vanhoof:
Neuroevolutionary Transfer Learning for Time Series Forecasting. SOCO (1) 2023: 219-228 - 2022
- [c37]Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez:
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO 2022: 413-422 - 2021
- [j18]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: 162487-162498 (2021) - [j17]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: 209-219 (2021) - [j16]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: 107119 (2021) - [j15]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) - [c36]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: 149-150 - [c35]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: 173-177 - [c34]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: 685-694 - 2020
- [j14]Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Miguel García-Torres, Federico Divina, Carlos D. Barranco, Norberto Díaz-Díaz, Manuel Jiménez, Gema Montalvo:
Identifying livestock behavior patterns based on accelerometer dataset. J. Comput. Sci. 41: 101076 (2020) - [c33]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: 399-408 - [e1]Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina:
Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings. Lecture Notes in Computer Science 12101, Springer 2020, ISBN 978-3-030-44093-0 [contents]
2010 – 2019
- 2019
- [j13]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): 1139 (2019) - [j12]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: 1-20 (2019) - [c32]Brenda Quiñonez, Diego P. Pinto-Roa, Miguel García-Torres, María E. García-Díaz, Carlos Nunez Castillo, Federico Divina:
Map-Elites Algorithm for Features Selection Problem. AMW 2019 - [c31]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: 275-284 - [c30]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: 285-294 - 2018
- [j11]Federico Divina, Miguel García-Torres, Ting Hu, Christian E. Schaerer:
Soft Computing for Analysis of Biomedical Data. Comput. Math. Methods Medicine 2018: 3902484:1-3902484:2 (2018) - [j10]Francisco Fernández de Vega, Federico Divina, José Ignacio Hidalgo, Meng-Hiot Lim:
Editorial. Memetic Comput. 10(3): 243-244 (2018) - [c29]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: 86-101 - 2017
- [c28]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: 349-359 - [i1]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 abs/1709.08730 (2017) - 2016
- [c27]Rafael Arias-Michel, Miguel García-Torres, Christian Schaerer, Federico Divina:
Feature Selection Using Approximate Multivariate Markov Blankets. HAIS 2016: 114-125 - 2014
- [j9]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): 725-737 (2014) - 2013
- [c26]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: 592-597 - [c25]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: 166-173 - 2012
- [j8]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): 2441-2448 (2012) - [j7]Federico Divina, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
An effective measure for assessing the quality of biclusters. Comput. Biol. Medicine 42(2): 245-256 (2012) - [c24]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: 234-244 - 2011
- [c23]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
An Evolutionary Approach for Protein Contact Map Prediction. EvoBio 2011: 101-110 - [c22]Michaël Marcozzi, Federico Divina, Jesús S. Aguilar-Ruiz, Wim Vanhoof:
A novel probabilistic encoding for EAs applied to biclustering of microarray data. GECCO 2011: 339-346 - [c21]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz:
Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties. HAIS (2) 2011: 303-310 - [c20]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: 1086-1090 - [c19]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB 2011: 279-283 - [c18]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz:
Evolutionary computation for the prediction of secondary protein structures. SAC 2011: 1082-1087 - 2010
- [c17]Celine Dandois, Federico Divina, Wim Vanhoof:
A multi-objective Evolutionary Concept Learner. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c16]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Alpha Helix Prediction Based on Evolutionary Computation. PRIB 2010: 358-367
2000 – 2009
- 2009
- [j6]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): 477-493 (2009) - 2008
- [c15]Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data. HIS 2008: 813-818 - 2007
- [c14]Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Virtual Error: A New Measure for Evolutionary Biclustering. EvoBIO 2007: 217-226 - [c13]Raúl Giráldez, Federico Divina, Beatriz Pontes, Jesús S. Aguilar-Ruiz:
Evolutionary Search of Biclusters by Minimal Intrafluctuation. FUZZ-IEEE 2007: 1-6 - [c12]Federico Divina, Jesús S. Aguilar-Ruiz:
A multi-objective approach to discover biclusters in microarray data. GECCO 2007: 385-392 - 2006
- [j5]Federico Divina:
Evolutionary concept learning in First Order Logic: An overview. AI Commun. 19(1): 13-33 (2006) - [j4]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) - [j3]Federico Divina, Jesús S. Aguilar-Ruiz:
Biclustering of Expression Data with Evolutionary Computation. IEEE Trans. Knowl. Data Eng. 18(5): 590-602 (2006) - [c11]Federico Divina, Paul Vogt:
A Hybrid Model for Learning Word-Meaning Mappings. EELC 2006: 1-15 - 2005
- [j2]Federico Divina:
Relational Inductive Learning with a Hybrid Evolutionary Algorithm. AI Commun. 18(1): 67-69 (2005) - [j1]Federico Divina, Elena Marchiori:
Handling continuous attributes in an evolutionary inductive learner. IEEE Trans. Evol. Comput. 9(1): 31-43 (2005) - [c10]Federico Divina, Paul Vogt:
Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge. ECAL 2005: 644-654 - [c9]Federico Divina:
Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner. EuroGP 2005: 13-24 - [c8]Jesús S. Aguilar-Ruiz, Federico Divina:
Evolutionary Biclustering of Microarray Data. EvoWorkshops 2005: 1-10 - [c7]Jesús S. Aguilar-Ruiz, Federico Divina:
GA-based approach to discover meaningful biclusters. GECCO 2005: 473-474 - [c6]Jesús S. Aguilar-Ruiz, Federico Divina:
Evolutionary computation for biclustering of gene expression. SAC 2005: 959-960 - 2004
- [c5]Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina:
Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) 2004: 828-839 - [c4]Jesús S. Aguilar-Ruiz, Raquel Costa, Federico Divina:
Knowledge discovery from doctor-patient relationship. SAC 2004: 280-284 - 2003
- [c3]Federico Divina, Maarten Keijzer, Elena Marchiori:
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners. GECCO 2003: 898-908 - [c2]Federico Divina, Maarten Keijzer, Elena Marchiori:
Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms. GECCO 2003: 1574-1575 - 2002
- [c1]Federico Divina, Elena Marchiori:
Evolutionary Concept Learning. GECCO 2002: 343-350
Coauthor Index
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