Pedro Henrique Narloch
Orcid: 0000-0002-8142-9399
According to our database1,
Pedro Henrique Narloch
authored at least 14 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
WIREs Data. Mining. Knowl. Discov., 2024
2021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets.
PeerJ Comput. Sci., 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
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms.
Int. J. Bio Inspired Comput., 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 Applications of Evolutionary Computation, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Diversification Strategies in Differential Evolution Algorithm to Solve the Protein Structure Prediction Problem.
Proceedings of the Intelligent Systems Design and Applications, 2016