Márcio Dorn

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 59

Top Topics

Protein Structure

Memetic Algorithm

Differential Evolution

Top Venues

J. Comput. Biol.

EvoApplications

Publications

Matheus Cezimbra Barbieri, Bruno Iochins Grisci, Márcio Dorn
Analysis and comparison of feature selection methods towards performance and stability. Expert Syst. Appl. 249 (2024)
Bruno Iochins Grisci, Bruno César Feltes, Joice De Faria Poloni, Pedro Henrique Narloch, Márcio Dorn
The use of gene expression datasets in feature selection research: 20 years of inherent bias? WIREs Data. Mining. Knowl. Discov. 14 (2) (2024)
Jonas da Silveira Bohrer, Márcio Dorn
Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data. Expert Syst. Appl. 255 (2024)
Manuel Villalobos-Cid, Márcio Dorn, Ángela Contreras, Mario Inostroza-Ponta
An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. Appl. Soft Comput. 139 (2023)
Leonardo Da Luz Dorneles, Mateus Boiani, Márcio Dorn
Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics. CEC (2023)
Bruno César Feltes, Éderson Sales Moreira Pinto, Arthur Tonietto Mangini, Márcio Dorn
NIAS-Server 2.0: A versatile complementary tool for structural biology studies. J. Comput. Chem. 44 (18) (2023)
Adrian Kummerländer, Márcio Dorn, Martin Frank, Mathias J. Krause
Implicit propagation of directly addressed grids in lattice Boltzmann methods. Concurr. Comput. Pract. Exp. 35 (8) (2023)
Gabriel Dominico, Juliana S. Bernardes, Leonardo L. Dorneles, Márcio Dorn
Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. CEC (2023)
Itamar José Guimarães Nunes, Bruno César Feltes, Murilo Zanini David, Márcio Dorn
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions. J. Biomed. Informatics 129 (2022)
Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn
A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. BRACIS (1) (2022)
Mariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin
Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. CEC (2021)
Pedro Henrique Narloch, Márcio Dorn
Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem. EvoApplications (2021)
Robin Trunk, Colin Bretl, Gudrun Thäter, Hermann Nirschl, Márcio Dorn, Mathias J. Krause
A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations. Comput. 9 (4) (2021)
Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
A multi-objective approach for the protein structure prediction problem. SCCC (2021)
Bruno Iochins Grisci, Mathias J. Krause, Márcio Dorn
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data. Inf. Sci. 559 (2021)
Éderson Sales Moreira Pinto, Bruno César Feltes, Conrado Pedebos, Márcio Dorn
Modifying the catalytic preference of alpha-amylase toward n-alkanes for bioremediation purposes using in silico strategies. J. Comput. Chem. 42 (22) (2021)
Bruno César Feltes, Joice De Faria Poloni, Márcio Dorn
Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research. J. Comput. Biol. 28 (9) (2021)
Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. PeerJ Comput. Sci. 7 (2021)
Fabian Klemens, Benjamin Förster, Márcio Dorn, Gudrun Thäter, Mathias J. Krause
Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods. Comput. Math. Appl. 79 (1) (2020)
Leonardo de Lima Corrêa, Márcio Dorn
A multi-population memetic algorithm for the 3-D protein structure prediction problem. Swarm Evol. Comput. 55 (2020)
Leonardo de Lima Correa, Luciana Arantes, Pierre Sens, Mario Inostroza-Ponta, Márcio Dorn
A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. CEC (2020)
Marcelo Depólo Polêto, Bruno Iochins Grisci, Márcio Dorn, Hugo Verli
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories. Bioinform. 36 (11) (2020)
Pedro Henrique Narloch, Mathias J. Krause, Márcio Dorn
Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem. CEC (2020)
Eduardo Avila, Márcio Dorn, Clarice Sampaio Alho, Alessandro Kahmann
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios. CoRR (2020)
Jonas da Silveira Bohrer, Bruno Iochins Grisci, Márcio Dorn
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras. CoRR (2020)
Mario Inostroza-Ponta, Márcio Dorn, Ivan Escobar, Leonardo de Lima Correa, Erika Rosas, Nicolas Hidalgo, Mauricio Marín
Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. J. Comput. Sci. 41 (2020)
Pedro Henrique Narloch, Márcio Dorn
Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction. EvoApplications (2020)
Alfeu Uzai Tavares, Márcio Dorn
Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach. CEC (2020)
Pablo Felipe Leonhart, Eduardo Spieler, Rodrigo Ligabue-Braun, Márcio Dorn
A biased random key genetic algorithm for the protein-ligand docking problem. Soft Comput. 23 (12) (2019)
Leonardo de Lima Corrêa, Márcio Dorn
A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structures. ICCS (3) (2019)
Pedro Henrique Narloch, Márcio Dorn
Rosetta Ligand-Protein Docking with Self-Adaptive Differential Evolution. BIBE (2019)
Pedro Henrique Narloch, Márcio Dorn
A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction. ICCS (3) (2019)
Pablo Felipe Leonhart, Pedro Henrique Narloch, Márcio Dorn
A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking. ICCS (3) (2019)
Pablo Felipe Leonhart, Márcio Dorn
A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking. EvoApplications (2019)
Bruno César Feltes, Laure Chandelier, Bruno Iochins Grisci, Márcio Dorn
CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research. J. Comput. Biol. 26 (4) (2019)
Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn
Neuroevolution as a tool for microarray gene expression pattern identification in cancer research. J. Biomed. Informatics 89 (2019)
Manuel Villalobos-Cid, Márcio Dorn, Rodrigo Ligabue-Braun, Mario Inostroza-Ponta
A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. IEEE Trans. Evol. Comput. 23 (5) (2019)
Pedro Henrique Narloch, Márcio Dorn
A Knowledge Based Differential Evolution Algorithm for Protein Structure Prediction. EvoApplications (2019)
Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. CEC (2018)
Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. BioData Min. 11 (1) (2018)
Leonardo de Lima Correa, Bruno Borguesan, Mathias J. Krause, Márcio Dorn
Three-dimensional protein structure prediction based on memetic algorithms. Comput. Oper. Res. 91 (2018)
Leonardo de Lima Correa, Márcio Dorn
A Knowledge-Based Artificial Bee Colony Algorithm for the 3-D Protein Structure Prediction Problem. CEC (2018)
Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. CEC (2018)
Bruno Borguesan, Pedro Henrique Narloch, Mario Inostroza-Ponta, Márcio Dorn
A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem. CEC (2018)
Rodrigo Ligabue-Braun, Bruno Borguesan, Hugo Verli, Mathias J. Krause, Márcio Dorn
Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures. J. Comput. Biol. 25 (4) (2018)
Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn
Microarray Classification and Gene Selection with FS-NEAT. CEC (2018)
Leonardo de Lima Correa, Bruno Borguesan, Camilo Farfán, Mario Inostroza-Ponta, Márcio Dorn
A Memetic Algorithm for 3D Protein Structure Prediction Problem. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Bruno Ferreira de Faria Alixandre, Márcio Dorn
D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm. CEC (2017)
Bruno Grisci, Márcio Dorn
NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies. J. Bioinform. Comput. Biol. 15 (3) (2017)
Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. CEC (2017)
Benjamin Ruiz-Tagle, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. SCCC (2017)
Leonardo de Lima Correa, Mario Inostroza-Ponta, Márcio Dorn
An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. CEC (2017)
Mariana Oliveira, Bruno Borguesan, Márcio Dorn
SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem. CEC (2017)
Bruno Borguesan, Mario Inostroza-Ponta, Márcio Dorn
NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. J. Comput. Biol. 24 (3) (2017)
Bruno Borguesan, Jonas Bohrer, Mariel Barbachan e Silva, Leonardo de Lima Correa, Márcio Dorn
Improving protein tertiary structure prediction with conformational propensities of amino acid residues. CEC (2016)
Bruno Grisci, Márcio Dorn
Predicting protein structural features with NeuroEvolution of Augmenting Topologies. IJCNN (2016)
Ivan Escobar, Nicolas Hidalgo, Mario Inostroza-Ponta, Mauricio Marín, Erika Rosas, Márcio Dorn
Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. SCCC (2016)
Bruno Borguesan, Mariel Barbachan e Silva, Bruno Grisci, Mario Inostroza-Ponta, Márcio Dorn
APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Comput. Biol. Chem. 59 (2015)
Mario Inostroza-Ponta, Camilo Farfán, Márcio Dorn
A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. GECCO (Companion) (2015)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates. Soft Comput. 18 (4) (2014)
Márcio Dorn, Mariel Barbachan e Silva, Luciana S. Buriol, Luís C. Lamb
Three-dimensional protein structure prediction: Methods and computational strategies. Comput. Biol. Chem. 53 (2014)
Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn
A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. EvoApplications@EvoStar (2013)
Rafael K. de Andrades, Márcio Dorn, Daniel S. Farenzena, Luís C. Lamb
A cluster-DEE-based strategy to empower protein design. Expert Syst. Appl. 40 (13) (2013)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides. Expert Syst. Appl. 40 (2) (2013)
Márcio Dorn, Osmar Norberto de Souza
An interval-based algorithm to represent conformational states of experimentally determined polypeptide templates and fast prediction of approximated 3D protein structures. Int. J. Bioinform. Res. Appl. 9 (5) (2013)
Márcio Dorn, Mario Inostroza-Ponta, Luciana S. Buriol, Hugo Verli
A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides. IEEE Congress on Evolutionary Computation (2013)
Márcio Dorn, André L. S. Braga, Carlos H. Llanos, Leandro dos Santos Coelho
A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides. Expert Syst. Appl. 39 (15) (2012)
André L. S. Braga, Janier Arias-Garcia, Carlos H. Llanos, Márcio Dorn, Alfredo Foltran, Leandro dos Santos Coelho
Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins. ReCoSoC (2012)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. IEEE Congress on Evolutionary Computation (2011)
Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. IJCAI (2011)
Márcio Dorn, Osmar Norberto de Souza
Mining the Protein Data Bank with CReF to predict approximate 3-D structures of polypeptides. Int. J. Data Min. Bioinform. 4 (3) (2010)
Márcio Dorn, Osmar Norberto de Souza
A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction. Expert Syst. Appl. 37 (12) (2010)
Márcio Dorn, Osmar Norberto de Souza
CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures. SAC (2008)
Mariana Luderitz Kolberg, Márcio Dorn, Luiz Gustavo Fernandes, Gerd Bohlender
Parallel Verified Linear System Solver for Uncertain Input Data. SBAC-PAD (2008)
Márcio Dorn, Ardala Breda, Osmar Norberto de Souza
A Hybrid Method for the Protein Structure Prediction Problem. BSB (2008)