Márcio Dorn

发表

Improving protein tertiary structure prediction with conformational propensities of amino acid residues

Bruno Borguesan, Jonas Bohrer, Mariel Barbachan e Silva, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides

Leandro dos Santos Coelho, Márcio Dorn, André L. S. Braga, 2012, Expert systems with applications.

NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins

Mario Inostroza-Ponta, Bruno Borguesan, Márcio Dorn, 2017, J. Comput. Biol..

Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach

Márcio Dorn, Alfeu Uzai Tavares, M. Dorn, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem

Mathias J. Krause, Márcio Dorn, Pedro Henrique Narloch, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Three-dimensional protein structure prediction: Methods and computational strategies

Luís C. Lamb, Luciana S. Buriol, Mariel Barbachan e Silva, 2014, Comput. Biol. Chem..

An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures

Mario Inostroza-Ponta, Leonardo de Lima Correa, Márcio Dorn, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Predicting protein structural features with NeuroEvolution of Augmenting Topologies

Márcio Dorn, Bruno Grisci, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods

Gudrun Thäter, Fabian Klemens, Mathias J. Krause, 2020, Comput. Math. Appl..

A Hybrid Method for the Protein Structure Prediction Problem

Márcio Dorn, Osmar Norberto de Souza, Ardala Breda, 2008, BSB.

A biased random key genetic algorithm for the protein–ligand docking problem

Márcio Dorn, Pablo Felipe Leonhart, Eduardo Spieler, 2019, Soft Comput..

Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides

Luís C. Lamb, Luciana S. Buriol, Márcio Dorn, 2011, IJCAI.

A Knowledge Based Differential Evolution Algorithm for Protein Structure Prediction

Márcio Dorn, Pedro Henrique Narloch, M. Dorn, 2019, EvoApplications.

SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem

Bruno Borguesan, Márcio Dorn, Mariana Oliveira, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem

Mario Inostroza-Ponta, Bruno Borguesan, Márcio Dorn, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Pontifícia Universidade Católica do Rio Grande do Sul Faculdade de Informática Programa de Pós-Graduação em Ciência da Computação

Márcio Dorn, Márcio Dorn, 2008 .

A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference

Mario Inostroza-Ponta, Márcio Dorn, Manuel Villalobos-Cid, 2019, IEEE Transactions on Evolutionary Computation.

Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction

Márcio Dorn, Pedro Henrique Narloch, M. Dorn, 2020, EvoApplications.

A Memetic Algorithm for 3D Protein Structure Prediction Problem

Mario Inostroza-Ponta, Bruno Borguesan, Márcio Dorn, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A multi-population memetic algorithm for the 3-D protein structure prediction problem

Márcio Dorn, Leonardo de Lima Corrêa, M. Dorn, 2020, Swarm Evol. Comput..

Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem

Mario Inostroza-Ponta, Márcio Dorn, Jorge Parraga-Alava, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides

Mario Inostroza-Ponta, Luciana S. Buriol, Márcio Dorn, 2013, 2013 IEEE Congress on Evolutionary Computation.

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research

Márcio Dorn, Laure Chandelier, Bruno César Feltes, 2019, J. Comput. Biol..

A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structures

Márcio Dorn, Leonardo de Lima Corrêa, M. Dorn, 2019, ICCS.

Microarray Classification and Gene Selection with FS-NEAT

Márcio Dorn, Bruno César Feltes, Bruno Iochins Grisci, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures

Márcio Dorn, Osmar Norberto de Souza, O. N. Souza, 2008, SAC '08.

A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking

Márcio Dorn, Pablo Felipe Leonhart, M. Dorn, 2019, EvoApplications.

A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction

Márcio Dorn, Osmar Norberto de Souza, O. N. Souza, 2010, Expert Syst. Appl..

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction

Mario Inostroza-Ponta, Bruno Borguesan, Mariel Barbachan e Silva, 2015, Comput. Biol. Chem..

Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures

Mathias J. Krause, Bruno Borguesan, Márcio Dorn, 2017, J. Comput. Biol..

Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees

Mario Inostroza-Ponta, Márcio Dorn, Manuel Villalobos-Cid, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies

Márcio Dorn, Bruno Grisci, Bruno Iochins Grisci, 2017, J. Bioinform. Comput. Biol..

Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem

Mario Inostroza-Ponta, Nicolas Hidalgo, Márcio Dorn, 2016, 2016 35th International Conference of the Chilean Computer Science Society (SCCC).

Mining the Protein Data Bank with CReF to predict approximate 3-D structures of polypeptides

Márcio Dorn, Osmar Norberto de Souza, O. N. Souza, 2010, Int. J. Data Min. Bioinform..

Hemogram data as a tool for decision-making in COVID-19 management: applications to resource scarcity scenarios pdf

Márcio Dorn, Alessandro Kahmann, Eduardo Avila, 2020, medRxiv.

A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides

Luís C. Lamb, Luciana S. Buriol, Márcio Dorn, 2013, Expert Syst. Appl..

Neuroevolution as a tool for microarray gene expression pattern identification in cancer research

Márcio Dorn, Bruno César Feltes, Bruno Iochins Grisci, 2019, J. Biomed. Informatics.

Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem

Mario Inostroza-Ponta, Márcio Dorn, Manuel Villalobos-Cid, 2017, 2017 36th International Conference of the Chilean Computer Science Society (SCCC).

MOIRAE : a computational strategy to predict 3-D structures of polypeptides

Márcio Dorn, M. Dorn, 2012 .

Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem

Mario Inostroza-Ponta, Márcio Dorn, Manuel Villalobos-Cid, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues

Mario Inostroza-Ponta, Márcio Dorn, Camilo Farfán, 2015, GECCO.

Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins

Leandro dos Santos Coelho, Márcio Dorn, André L. S. Braga, 2012, 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC).

A cluster-DEE-based strategy to empower protein design

Luís C. Lamb, Márcio Dorn, Daniel S. Farenzena, 2013, Expert Syst. Appl..

MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates

Luís C. Lamb, Luciana S. Buriol, Márcio Dorn, 2013, Soft Computing.

Multi-Agent Systems in Three-Dimensional Protein Structure Prediction

Márcio Dorn, Leonardo de Lima Corrêa, M. Dorn, 2019, Biotechnology.

A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy

Luís C. Lamb, Luciana S. Buriol, Márcio Dorn, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Perspectives and applications of machine learning for evolutionary developmental biology.

Márcio Dorn, Bruno César Feltes, Bruno Iochins Grisci, 2018, Molecular omics.

A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking

Márcio Dorn, Pedro Henrique Narloch, Pablo Felipe Leonhart, 2019, ICCS.

A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction

Márcio Dorn, Pedro Henrique Narloch, M. Dorn, 2019, ICCS.

A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies

Mario Inostroza-Ponta, Márcio Dorn, Jorge Parraga-Alava, 2018, BioData Mining.

A Knowledge-Based Artificial Bee Colony Algorithm for the 3-D Protein Structure Prediction Problem

Leonardo de Lima Correa, Márcio Dorn, M. Dorn, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Parallel Verified Linear System Solver for Uncertain Input Data

Márcio Dorn, Luiz Gustavo Fernandes, Mariana Luderitz Kolberg, 2008, 2008 20th International Symposium on Computer Architecture and High Performance Computing.

D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm

Márcio Dorn, Bruno Ferreira de Faria Alixandre, M. Dorn, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Rosetta Ligand-Protein Docking with Self-Adaptive Differential Evolution

Márcio Dorn, Pedro Henrique Narloch, M. Dorn, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

An interval-based algorithm to represent conformational states of experimentally determined polypeptide templates and fast prediction of approximated 3D protein structures

Márcio Dorn, Osmar Norberto de Souza, O. N. Souza, 2013, Int. J. Bioinform. Res. Appl..

Three-dimensional protein structure prediction based on memetic algorithms

Mathias J. Krause, Bruno Borguesan, Leonardo de Lima Correa, 2018, Comput. Oper. Res..

Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms

Mario Inostroza-Ponta, Nicolas Hidalgo, Márcio Dorn, 2020, J. Comput. Sci..

Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research

Márcio Dorn, Bruno César Feltes, Joice De Faria Poloni, 2021, J. Comput. Biol..

Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing

Mariel Barbachan e Silva, Márcio Dorn, Pedro Henrique Narloch, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem

Márcio Dorn, Pedro Henrique Narloch, 2021, EvoApplications.

A multi-objective approach for the protein structure prediction problem

Mario Inostroza-Ponta, Márcio Dorn, Manuel Villalobos-Cid, 2021, 2021 40th International Conference of the Chilean Computer Science Society (SCCC).

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data

Mathias J. Krause, Márcio Dorn, Bruno Iochins Grisci, 2021, Inf. Sci..