Márcio Dorn - RankMe

79 papers A* 1B 23C 3Misc 1Journal 39Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assessing feature scorer results on high-dimensional datasets with t-SNE. Neurocomputing Bruno Iochins Grisci, Mario Inostroza-Ponta, Márcio Dorn
2025	J	`jnl`	Optimization of single node load balancing for lattice Boltzmann method on heterogeneous high performance computers. J. Parallel Distributed Comput. Adrian Kummerländer, Fedor Bukreev, Dennis Teutscher, Márcio Dorn, Mathias J. Krause
2024	C	`conf`	A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. CIBCB Jorge Cubillos-Chaparro, Márcio Dorn, Manuel Villalobos-Cid, Mario Inostroza-Ponta
2024	J	`jnl`	Analysis and comparison of feature selection methods towards performance and stability. Expert Syst. Appl. Matheus Cezimbra Barbieri, Bruno Iochins Grisci, Márcio Dorn
2024	J	`jnl`	Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data. Expert Syst. Appl. Jonas da Silveira Bohrer, Márcio Dorn
2024	J	`jnl`	The use of gene expression datasets in feature selection research: 20 years of inherent bias? WIREs Data. Mining. Knowl. Discov. Bruno Iochins Grisci, Bruno César Feltes, Joice De Faria Poloni, Pedro Henrique Narloch, Márcio Dorn
2023	—	`conf`	A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. EvoApplications@EvoStar Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn
2023	J	`jnl`	An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. Appl. Soft Comput. Manuel Villalobos-Cid, Márcio Dorn, Ángela Contreras, Mario Inostroza-Ponta
2023	B	`conf`	Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics. CEC Leonardo Da Luz Dorneles, Mateus Boiani, Márcio Dorn
2023	J	`jnl`	Implicit propagation of directly addressed grids in lattice Boltzmann methods. Concurr. Comput. Pract. Exp. Adrian Kummerländer, Márcio Dorn, Martin Frank, Mathias J. Krause
2023	B	`conf`	Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. CEC Gabriel Dominico, Juliana S. Bernardes, Leonardo Da Luz Dorneles, Márcio Dorn
2023	J	`jnl`	NIAS-Server 2.0: A versatile complementary tool for structural biology studies. J. Comput. Chem. Bruno César Feltes, Éderson Sales Moreira Pinto, Arthur Tonietto Mangini, Márcio Dorn
2022	—	`conf`	A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. BRACIS (1) Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn
2022	J	`jnl`	Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions. J. Biomed. Informatics Itamar José Guimarães Nunes, Bruno César Feltes, Murilo Zanini David, Márcio Dorn
2021	J	`jnl`	A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations. Comput. Robin Trunk, Colin Bretl, Gudrun Thäter, Hermann Nirschl, Márcio Dorn, Mathias J. Krause
2021	—	`conf`	A multi-objective approach for the protein structure prediction problem. SCCC Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2021	J	`jnl`	Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research. J. Comput. Biol. Bruno César Feltes, Joice De Faria Poloni, Márcio Dorn
2021	J	`jnl`	Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. PeerJ Comput. Sci. Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
2021	B	`conf`	Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem. EvoApplications Pedro Henrique Narloch, Márcio Dorn
2021	J	`jnl`	Modifying the catalytic preference of alpha-amylase toward n-alkanes for bioremediation purposes using in silico strategies. J. Comput. Chem. Éderson Sales Moreira Pinto, Bruno César Feltes, Conrado Pedebos, Márcio Dorn
2021	B	`conf`	Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. CEC Mariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin
2021	J	`jnl`	Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data. Inf. Sci. Bruno Iochins Grisci, Mathias J. Krause, Márcio Dorn
2020	B	`conf`	A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. CEC Leonardo de Lima Correa, Luciana Arantes, Pierre Sens, Mario Inostroza-Ponta, Márcio Dorn
2020	J	`jnl`	A multi-population memetic algorithm for the 3-D protein structure prediction problem. Swarm Evol. Comput. Leonardo de Lima Corrêa, Márcio Dorn
2020	J	`jnl`	ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories. Bioinform. Marcelo Depólo Polêto, Bruno Iochins Grisci, Márcio Dorn, Hugo Verli
2020	B	`conf`	Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach. CEC Alfeu Uzai Tavares, Márcio Dorn
2020	B	`conf`	Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction. EvoApplications Pedro Henrique Narloch, Márcio Dorn
2020	J	`jnl`	Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. J. Comput. Sci. Mario Inostroza-Ponta, Márcio Dorn, Ivan Escobar, Leonardo de Lima Correa, Erika Rosas, Nicolas Hidalgo, Mauricio Marín
2020	J	`jnl`	Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios. CoRR Eduardo Avila, Márcio Dorn, Clarice Sampaio Alho, Alessandro Kahmann
2020	B	`conf`	Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem. CEC Pedro Henrique Narloch, Mathias J. Krause, Márcio Dorn
2020	J	`jnl`	Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras. CoRR Jonas da Silveira Bohrer, Bruno Iochins Grisci, Márcio Dorn
2020	J	`jnl`	Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods. Comput. Math. Appl. Fabian Klemens, Benjamin Förster, Márcio Dorn, Gudrun Thäter, Mathias J. Krause
2019	B	`conf`	A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking. EvoApplications Pablo Felipe Leonhart, Márcio Dorn
2019	B	`conf`	A Knowledge Based Differential Evolution Algorithm for Protein Structure Prediction. EvoApplications Pedro Henrique Narloch, Márcio Dorn
2019	—	`conf`	A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction. ICCS (3) Pedro Henrique Narloch, Márcio Dorn
2019	J	`jnl`	A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. IEEE Trans. Evol. Comput. Manuel Villalobos-Cid, Márcio Dorn, Rodrigo Ligabue-Braun, Mario Inostroza-Ponta
2019	—	`conf`	A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structures. ICCS (3) Leonardo de Lima Corrêa, Márcio Dorn
2019	—	`conf`	A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking. ICCS (3) Pablo Felipe Leonhart, Pedro Henrique Narloch, Márcio Dorn
2019	J	`jnl`	A biased random key genetic algorithm for the protein-ligand docking problem. Soft Comput. Pablo Felipe Leonhart, Eduardo Spieler, Rodrigo Ligabue-Braun, Márcio Dorn
2019	J	`jnl`	CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research. J. Comput. Biol. Bruno César Feltes, Laure Chandelier, Bruno Iochins Grisci, Márcio Dorn
2019	J	`jnl`	Neuroevolution as a tool for microarray gene expression pattern identification in cancer research. J. Biomed. Informatics Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn
2019	C	`conf`	Rosetta Ligand-Protein Docking with Self-Adaptive Differential Evolution. BIBE Pedro Henrique Narloch, Márcio Dorn
2018	B	`conf`	A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem. CEC Bruno Borguesan, Pedro Henrique Narloch, Mario Inostroza-Ponta, Márcio Dorn
2018	B	`conf`	A Knowledge-Based Artificial Bee Colony Algorithm for the 3-D Protein Structure Prediction Problem. CEC Leonardo de Lima Correa, Márcio Dorn
2018	J	`jnl`	A Memetic Algorithm for 3D Protein Structure Prediction Problem. IEEE ACM Trans. Comput. Biol. Bioinform. Leonardo de Lima Correa, Bruno Borguesan, Camilo Farfán, Mario Inostroza-Ponta, Márcio Dorn
2018	J	`jnl`	A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. BioData Min. Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2018	J	`jnl`	Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures. J. Comput. Biol. Rodrigo Ligabue-Braun, Bruno Borguesan, Hugo Verli, Mathias J. Krause, Márcio Dorn
2018	B	`conf`	Microarray Classification and Gene Selection with FS-NEAT. CEC Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn
2018	B	`conf`	Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. CEC Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2018	J	`jnl`	Three-dimensional protein structure prediction based on memetic algorithms. Comput. Oper. Res. Leonardo de Lima Correa, Bruno Borguesan, Mathias J. Krause, Márcio Dorn
2018	B	`conf`	Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. CEC Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2017	B	`conf`	An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. CEC Leonardo de Lima Correa, Mario Inostroza-Ponta, Márcio Dorn
2017	B	`conf`	D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm. CEC Bruno Ferreira de Faria Alixandre, Márcio Dorn
2017	—	`conf`	Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. SCCC Benjamin Ruiz-Tagle, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
2017	J	`jnl`	NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies. J. Bioinform. Comput. Biol. Bruno Grisci, Márcio Dorn
2017	J	`jnl`	NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. J. Comput. Biol. Bruno Borguesan, Mario Inostroza-Ponta, Márcio Dorn
2017	B	`conf`	SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem. CEC Mariana Oliveira, Bruno Borguesan, Márcio Dorn
2017	B	`conf`	Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. CEC Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2016	—	`conf`	Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. SCCC Ivan Escobar, Nicolas Hidalgo, Mario Inostroza-Ponta, Mauricio Marín, Erika Rosas, Márcio Dorn
2016	B	`conf`	Improving protein tertiary structure prediction with conformational propensities of amino acid residues. CEC Bruno Borguesan, Jonas Bohrer, Mariel Barbachan e Silva, Leonardo de Lima Correa, Márcio Dorn
2016	B	`conf`	Predicting protein structural features with NeuroEvolution of Augmenting Topologies. IJCNN Bruno Grisci, Márcio Dorn
2015	—	`conf`	A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. GECCO (Companion) Mario Inostroza-Ponta, Camilo Farfán, Márcio Dorn
2015	J	`jnl`	APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Comput. Biol. Chem. Bruno Borguesan, Mariel Barbachan e Silva, Bruno Grisci, Mario Inostroza-Ponta, Márcio Dorn
2014	J	`jnl`	MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates. Soft Comput. Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
2014	J	`jnl`	Three-dimensional protein structure prediction: Methods and computational strategies. Comput. Biol. Chem. Márcio Dorn, Mariel Barbachan e Silva, Luciana S. Buriol, Luís C. Lamb
2013	J	`jnl`	A cluster-DEE-based strategy to empower protein design. Expert Syst. Appl. Rafael K. de Andrades, Márcio Dorn, Daniel S. Farenzena, Luís C. Lamb
2013	B	`conf`	A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides. IEEE Congress on Evolutionary Computation Márcio Dorn, Mario Inostroza-Ponta, Luciana S. Buriol, Hugo Verli
2013	J	`jnl`	A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides. Expert Syst. Appl. Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
2013	J	`jnl`	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. Márcio Dorn, Osmar Norberto de Souza
2012	J	`jnl`	A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides. Expert Syst. Appl. Márcio Dorn, André L. S. Braga, Carlos H. Llanos, Leandro dos Santos Coelho
2012	—	`conf`	Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins. ReCoSoC André L. S. Braga, Janier Arias-Garcia, Carlos H. Llanos, Márcio Dorn, Alfredo Foltran, Leandro dos Santos Coelho
2012	—	`—`	MOIRAE: a computational strategy to predict 3-D structures of polypeptides Márcio Dorn
2011	B	`conf`	A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. IEEE Congress on Evolutionary Computation Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
2011	A*	`conf`	Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. IJCAI Márcio Dorn, Luciana S. Buriol, Luís C. Lamb
2010	J	`jnl`	A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction. Expert Syst. Appl. Márcio Dorn, Osmar Norberto de Souza
2010	J	`jnl`	Mining the Protein Data Bank with CReF to predict approximate 3-D structures of polypeptides. Int. J. Data Min. Bioinform. Márcio Dorn, Osmar Norberto de Souza
2008	—	`conf`	A Hybrid Method for the Protein Structure Prediction Problem. BSB Márcio Dorn, Ardala Breda, Osmar Norberto de Souza
2008	Misc	`conf`	CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures. SAC Márcio Dorn, Osmar Norberto de Souza
2008	C	`conf`	Parallel Verified Linear System Solver for Uncertain Input Data. SBAC-PAD Mariana Luderitz Kolberg, Márcio Dorn, Luiz Gustavo Fernandes, Gerd Bohlender