Márcio Dorn
Orcid: 0000-0001-8534-3480
According to our database1,
Márcio Dorn
authored at least 73 papers
between 2008 and 2024.
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Bibliography
2024
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
WIREs Data. Mining. Knowl. Discov., 2024
2023
An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem.
Appl. Soft Comput., May, 2023
J. Comput. Chem., 2023
Concurr. Comput. Pract. Exp., 2023
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions.
J. Biomed. Informatics, 2022
A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets.
PeerJ Comput. Sci., 2021
Modifying the catalytic preference of alpha-amylase toward n-alkanes for bioremediation purposes using in silico strategies.
J. Comput. Chem., 2021
Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research.
J. Comput. Biol., 2021
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data.
Inf. Sci., 2021
A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations.
Comput., 2021
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021
Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem.
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
A multi-population memetic algorithm for the 3-D protein structure prediction problem.
Swarm Evol. Comput., 2020
Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms.
J. Comput. Sci., 2020
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios.
CoRR, 2020
CoRR, 2020
Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods.
Comput. Math. Appl., 2020
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories.
Bioinform., 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
IEEE Trans. Evol. Comput., 2019
Soft Comput., 2019
CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.
J. Comput. Biol., 2019
Neuroevolution as a tool for microarray gene expression pattern identification in cancer research.
J. Biomed. Informatics, 2019
A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction.
Proceedings of the Computational Science - ICCS 2019, 2019
A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking.
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Applications of Evolutionary Computation, 2019
A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking.
Proceedings of the Applications of Evolutionary Computation, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures.
J. Comput. Biol., 2018
Comput. Oper. Res., 2018
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies.
BioData Min., 2018
Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Knowledge-Based Artificial Bee Colony Algorithm for the 3-D Protein Structure Prediction Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins.
J. Comput. Biol., 2017
NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies.
J. Bioinform. Comput. Biol., 2017
Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem.
Proceedings of the 36th International Conference of the Chilean Computer Science Society, 2017
Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Improving protein tertiary structure prediction with conformational propensities of amino acid residues.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction.
Comput. Biol. Chem., 2015
A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates.
Soft Comput., 2014
Three-dimensional protein structure prediction: Methods and computational strategies.
Comput. Biol. Chem., 2014
2013
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., 2013
A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides.
Expert Syst. Appl., 2013
A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides.
Expert Syst. Appl., 2012
Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins.
Proceedings of the 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2012
2011
Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides.
Proceedings of the IJCAI 2011, 2011
A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Mining the Protein Data Bank with CReF to predict approximate 3-D structures of polypeptides.
Int. J. Data Min. Bioinform., 2010
A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction.
Expert Syst. Appl., 2010
2008
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008
Proceedings of the 20th International Symposium on Computer Architecture and High Performance Computing, 2008
CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008