Federico Divina

Orcid: 0000-0002-0964-9506

According to our database1, Federico Divina authored at least 58 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Evolutionary feature selection on high dimensional data using a search space reduction approach.
Eng. Appl. Artif. Intell., 2023

Neuroevolutionary Transfer Learning for Time Series Forecasting.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

2022
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

2021
Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility.
PLoS Comput. Biol., 2021

Technical analysis strategy optimization using a machine learning approach in stock market indices.
Knowl. Based Syst., 2021

A multi-GPU biclustering algorithm for binary datasets.
J. Parallel Distributed Comput., 2021

Adjacent Inputs With Different Labels and Hardness in Supervised Learning.
IEEE Access, 2021

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images with Residual Neural Networks.
Proceedings of the Public Health and Informatics, 2021

Scatter search for high-dimensional feature selection using feature grouping.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Identifying livestock behavior patterns based on accelerometer dataset.
J. Comput. Sci., 2020

Analysis of Student Achievement Scores via Cluster Analysis.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020

2019
A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem.
Inf. Sci., 2019

Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks.
Entropy, 2019

Analysis of Student Achievement Scores: A Machine Learning Approach.
Proceedings of the 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

Analysis of Teacher Training in Mathematics in Paraguay's Elementary Education System Using Machine Learning Techniques.
Proceedings of the 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

Map-Elites Algorithm for Features Selection Problem.
Proceedings of the 13th Alberto Mendelzon International Workshop on Foundations of Data Management, 2019

2018
Editorial.
Memetic Comput., 2018

Soft Computing for Analysis of Biomedical Data.
Comput. Math. Methods Medicine, 2018

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach.
Proceedings of the Applications of Evolutionary Computation, 2018

2017
Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection.
CoRR, 2017

Bioinformatics from a Big Data Perspective: Meeting the Challenge.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Feature Selection Using Approximate Multivariate Markov Blankets.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2014
Evolutionary decision rules for predicting protein contact maps.
Pattern Anal. Appl., 2014

2013
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

An efficient decision rule-based system for the protein residue-residue contact prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An effective measure for assessing the quality of biclusters.
Comput. Biol. Medicine, 2012

Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features.
Bioinform., 2012

A NSGA-II Algorithm for the Residue-Residue Contact Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011
Evolutionary computation for the prediction of secondary protein structures.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Residue-Residue Contact Prediction Based on Evolutionary Computation.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

A multi-objective genetic algorithm for the Protein Structure Prediction.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

A novel probabilistic encoding for EAs applied to biclustering of microarray data.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An Evolutionary Approach for Protein Contact Map Prediction.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010
Alpha Helix Prediction Based on Evolutionary Computation.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

A multi-objective Evolutionary Concept Learner.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Improved biclustering on expression data through overlapping control.
Int. J. Intell. Comput. Cybern., 2009

2008
A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
A multi-objective approach to discover biclusters in microarray data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Evolutionary Search of Biclusters by Minimal Intrafluctuation.
Proceedings of the FUZZ-IEEE 2007, 2007

Virtual Error: A New Measure for Evolutionary Biclustering.
Proceedings of the Evolutionary Computation, 2007

2006
Biclustering of Expression Data with Evolutionary Computation.
IEEE Trans. Knowl. Data Eng., 2006

Emerging Artificial Societies Through Learning.
J. Artif. Soc. Soc. Simul., 2006

Evolutionary concept learning in First Order Logic: An overview.
AI Commun., 2006

A Hybrid Model for Learning Word-Meaning Mappings.
Proceedings of the Symbol Grounding and Beyond, 2006

2005
Handling continuous attributes in an evolutionary inductive learner.
IEEE Trans. Evol. Comput., 2005

Relational Inductive Learning with a Hybrid Evolutionary Algorithm.
AI Commun., 2005

Evolutionary computation for biclustering of gene expression.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

GA-based approach to discover meaningful biclusters.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Evolutionary Biclustering of Microarray Data.
Proceedings of the Applications of Evolutionary Computing, 2005

Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner.
Proceedings of the Genetic Programming, 8th European Conference, 2005

Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

2004
Knowledge discovery from doctor-patient relationship.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Experimental Evaluation of Discretization Schemes for Rule Induction.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Evolutionary Concept Learning.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002


  Loading...