Gregorio Kappaun Rocha

According to our database, Gregorio Kappaun Rocha authored at least 6 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Estimating Protein Structure Prediction Models Quality Using Convolutional Neural Networks.

Emerson Correia Lima, Fábio Lima Custódio, Gregorio Kappaun Rocha, Laurent Emmanuel Dardenne

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Inserting Co-Evolution Information from Contact Maps into a Multiobjective Genetic Algorithm for Protein Structure Prediction.

Gregorio Kappaun Rocha, Karina B. dos Santos, Jaqueline S. Angelo, Fábio L. Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Improving de novo protein structure prediction using contact maps information.

Karina B. Santos, Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Using an aggregation tree to arrange energy function terms for protein structure prediction.

Gregorio Kappaun Rocha, Jaqueline S. Angelo, Karina B. Santos, Fábio L. Custódio, Laurent Emmanuel Dardenne, Helio J. C. Barbosa

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure Prediction.

Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding.

Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio José Corrêa Barbosa, Laurent Emmanuel Dardenne

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015