Marcella S. R. Martins

According to our database, Marcella S. R. Martins authored at least 37 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Application of machine learning models for predicting variables of industrial processes: A case study in a petrochemical industry.

Claudio Adriano Vieira, Paulo Victor dos Santos, Heron Oliveira dos Santos Lima, Jeferson José de Lima, Marcella Scoczynski

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

Evaluating PID Controller Tuning via Metaheuristics: A Comparative Case Study.

Murilo Moreira Mello, Hugo Valadares Siqueira, Jeferson José de Lima, Marcella Scoczynski

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization.

Paulo Dos Santos, Marcella Scoczynski, Solange Amorim Nogueira, Rafael Maffei Loureiro, Cristhiane Gonçalves, Wesley Pacheco Calixto

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison.

Lucas Francesco Piccioni Costa, Tathiana M. Barchi, Erikson Freitas de Morais, Andres E. Coca, Elder Schemberger, Marcella S. R. Martins, Hugo Valadares Siqueira

Appl. Artif. Intell., December, 2023

A regression analysis of the impact of routing and packing dependencies on the expected runtime.

Mohamed El Yafrani, Marcella Scoczynski, Markus Wagner, Peter Nielsen

Soft Comput., 2023

NASA Science Mission Directorate Knowledge Graph Discovery.

Roelien C. Timmer, Megan Mark, Fech Scen Khoo, Marcella Scoczynski Ribeiro Martins, Anamaria Berea, Gregory Renard, Kaylin M. Bugbee

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Building Knowledge Graphs in Heliophysics and Astrophysics.

Fech Scen Khoo, Megan Mark, Roelien C. Timmer, Marcella Scoczynski Ribeiro Martins, Emily Foshee, Kaylin M. Bugbee, Gregory Renard, Anamaria Berea

Proceedings of the Natural Language Processing and Information Systems, 2023

2022

A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization.

Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad

Int. J. Mach. Learn. Cybern., 2022

On the fitness landscapes of interdependency models in the travelling thief problem.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Saving computational budget in Bayesian network-based evolutionary algorithms.

Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Diego Oliva, Markus Wagner, Inkyung Sung, Mohamed El Yafrani

Nat. Comput., 2021

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape.

Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod

J. Heuristics, 2021

Toward more efficient heuristic construction of Boolean functions.

Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner

Appl. Soft Comput., 2021

EOG Signal Analysis Based on Multi-Label Classification by Neural Network Backpropagation.

João Vitor Ferro Simões, Luiz Henrique de Almeida Mattos, Marcella Scoczynski Ribeiro Martins, Sergio Luiz Stevan Jr.

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A practical Deep Learning approach to assist COVID-19 detection based on Chest X-ray images.

Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Sthefanie Monica Premebida, Guilherme Alberto Sousa Ribeiro, Mayler Olombrada, Vinicios Roberto Soares, Rommel Melgaço Barbosa, Wesley Pacheco Calixto, Cleomar Rocha, Cristhiane Gonçalves, Fernanda Cristina Corrêa, Virgínia Helena Varotto Baroncini, Marcella Scoczynski Ribeiro Martins

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A Hybrid Model With Error Correction for Wind Speed Forecasting.

Tathiana M. Barchi, Lucas Francesco Piccioni Costa, Erickson Diogo Pereira Puchta, Marcella S. R. Martins, Mauren Louise Sguario C. Andrade, Paulo S. G. de Mattos Neto, Hugo Valadares Siqueira

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A selection hyperheuristic guided by Thompson sampling for numerical optimization.

Marcella Scoczynski Ribeiro Martins, Diego Oliva, Erick Rodríguez-Esparza, Myriam Regattieri Delgado, Ricardo Lüders, Mohamed El Yafrani, Luiz Ledo, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

2020

MATE: A Model-based Algorithm Tuning Engine.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen

CoRR, 2020

Combining information from thresholding techniques through an evolutionary Bayesian network algorithm.

Diego Oliva, Marcella S. R. Martins, Valentín Osuna-Enciso, Erikson Freitas de Morais

Appl. Soft Comput., 2020

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations.

Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Sunspot behavior forecast using neural networks approaches.

Sthefanie Monica Premebida, Denise Pechebovicz, Thiago Camargo, Henrique Nazário, Vinicios Soares, Virgínia H. V. Baroncini, Erikson Freitas de Morais, Hugo Siqueira, Diego Oliva, Marcella S. R. Martins

Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

Plants recognition using embedded Convolutional Neural Networks on Mobile devices.

Denise Pechebovicz, Sthefanie Monica Premebida, Vinicios Soares, Thiago Camargo, Jakson L. Bittencourt, Virgínia H. V. Baroncini, Marcella S. R. Martins

Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

Multi-layer local optima networks for the analysis of advanced local search-based algorithms.

Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Balancing the Influence of Evolutionary Operators for Global optimization.

Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.

Mohamed El Yafrani, Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Inkyung Sung, Ricardo Lüders, Markus Wagner

CoRR, 2019

Improving the estimation of parameters in induction motors using an evolutionary computation algorithm.

Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco Antonio Pérez Cisneros

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

A characterisation of S-box fitness landscapes in cryptography.

Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A Bayesian based Hyper-Heuristic approach for global optimization.

Diego Oliva, Marcella S. R. Martins

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm.

Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Inkyung Sung, Markus Wagner, Diego Oliva

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem.

Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

J. Heuristics, 2018

A hyperheuristic approach based on low-level heuristics for the travelling thief problem.

Mohamed El Yafrani, Marcella S. R. Martins, Markus Wagner, Belaïd Ahiod, Myriam Regattieri Delgado, Ricardo Lüders

Genet. Program. Evolvable Mach., 2018

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm.

Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

Appl. Soft Comput., 2018

A fitness landscape analysis of the travelling thief problem.

Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems.

Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.

Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.

Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2013

PSO with path relinking for resource allocation using simulation optimization.

Marcella S. R. Martins, Stefan Campana Fuchs, L. U. Pando, Ricardo Lüders, Myriam Regattieri Delgado

Comput. Ind. Eng., 2013