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César Manuel Vargas Benitez
Also published under: Cesar Manuel Vargas Benitez, Cesar Vargas Benitez, César M. V. Benítez, César Manuel Vargas Benítez
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A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis
Leandro Takeshi Hattori;César Manuel Vargas Benitez;Matheus Gutoski;Nelson Marcelo Romero Aquino;Heitor Silvério Lopes
2018 International Joint Conference on Neural Networks (IJCNN)
Year: 2018 | Conference Paper |
The Protein Folding Problem (PFP) is considered one of the most important open challenges in Biology and Bioinformatics. Long Short-Term Memory (LSTM) methods have risen recently, achieving the state-of-art performance for several Bioinformatics problems such as, protein secondary and tertiary protein structure prediction. This paper describes the application of a novel approach based on the LSTM ...Show More
A gene expression programming approach for evolving multi-class image classifiers
Nelson Marcelo Romero Aquino;Manasses Ribeiro;Matheus Gutoski;Cesar Vargas Benitez;Heitor Silverio Lopes
2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
This paper presents a methodology to perform multi-class image classification using Gene Expression Programming(GEP) in both balanced and unbalanced datasets. Descriptors are extracted from images and then their dimensionality are reduced by applying Principal Component Analysis. The aspects extracted from images are texture, color and shape that are, later, concatenated in a feature vector. Final...Show More
A Heterogeneous Parallel Ecologically-Inspired Approach Applied to the 3D-AB Off-Lattice Protein Structure Prediction Problem
César M.V. Benítez;Rafael Stubs Parpinelli;Heitor Silvério Lopes
2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence
Year: 2013 | Conference Paper |
Cited by: Papers (9)
This paper applies a heterogeneous parallel ecology-inspired algorithm (pECO) to solve a complex problem from bioinformatics. The ecological-inspired algorithm represents a new perspective to develop cooperative evolutionary algorithms. Different algorithms are applied to compose the computational ecosystem in a heterogeneous model. The aim is to search low energy conformations for the Protein Str...Show More
Hierarchical Parallel Genetic Algorithm applied to the three-dimensional HP Side-chain Protein Folding Problem
2010 IEEE International Conference on Systems, Man and Cybernetics
Year: 2010 | Conference Paper |
Cited by: Papers (8)
This work describes a Hierarchical Parallel Genetic Algorithm (HPGA) applied to the Protein Folding Problem (PFP). The modeling of the problem, using the 3DHP-Side-chain model, and details of the HPGA are presented. The effect of the energy weights in the performance of the algorithm was also studied. The HPGA was tested using three sets of benchmark sequences. Results show that the HPGA obtained ...Show More
This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3D-HP-side chain model. This model is more realistic than the usual 3D-HP model but, on the other hand, it is has a higher degree of complexity. Specific encoding and fitness function were proposed for this model, and running parameters were experimenta...Show More
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