Marcella S. R. Martins
Orcid: 0000-0002-5716-4968Affiliations:
- Federal University of Technology, Department of Electronics Engineering, Parana, Ponta Grossa, Brazil
According to our database1,
Marcella S. R. Martins
authored at least 37 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Application of machine learning models for predicting variables of industrial processes: A case study in a petrochemical industry.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024
A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison.
Appl. Artif. Intell., December, 2023
A regression analysis of the impact of routing and packing dependencies on the expected runtime.
Soft Comput., 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
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.
Int. J. Mach. Learn. Cybern., 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
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.
J. Heuristics, 2021
Appl. Soft Comput., 2021
EOG Signal Analysis Based on Multi-Label Classification by Neural Network Backpropagation.
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.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
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.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021
2020
Combining information from thresholding techniques through an evolutionary Bayesian network algorithm.
Appl. Soft Comput., 2020
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020
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.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.
CoRR, 2019
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
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.
J. Heuristics, 2018
A hyperheuristic approach based on low-level heuristics for the travelling thief problem.
Genet. Program. Evolvable Mach., 2018
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm.
Appl. Soft Comput., 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems.
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.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2013
Comput. Ind. Eng., 2013