Bruno Grisci

According to our database, Bruno Grisci authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The use of gene expression datasets in feature selection research: 20 years of inherent bias?

Bruno Iochins Grisci, Bruno César Feltes, Joice De Faria Poloni, Pedro Henrique Narloch, Márcio Dorn

WIREs Data. Mining. Knowl. Discov., 2024

2022

Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization.

Bruno Grisci, Gabriela Kuhn, Felipe Colombelli, Vítor Kehl Matter, Leomar Lima, Karine Heinen, Mauricio Pegoraro, Marcio Borges, Sandro José Rigo, Jorge L. V. Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos

CoRR, 2022

Multi-objective prioritization for data center vulnerability remediation.

Felipe Colombelli, Vítor Kehl Matter, Bruno Iochins Grisci, Leomar Lima, Karine Heinen, Marcio Borges, Sandro José Rigo, Jorge Luis Victória Barbosa, Rodrigo da Rosa Righi, Cristiano André da Costa, Gabriel de Oliveira Ramos

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets.

Márcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho

PeerJ Comput. Sci., 2021

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data.

Bruno Iochins Grisci, Mathias J. Krause, Márcio Dorn

Inf. Sci., 2021

2020

Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras.

Jonas da Silveira Bohrer, Bruno Iochins Grisci, Márcio Dorn

CoRR, 2020

ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories.

Marcelo Depólo Polêto, Bruno Iochins Grisci, Márcio Dorn, Hugo Verli

Bioinform., 2020

2019

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.

Bruno César Feltes, Laure Chandelier, Bruno Iochins Grisci, Márcio Dorn

J. Comput. Biol., 2019

Neuroevolution as a tool for microarray gene expression pattern identification in cancer research.

Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn

J. Biomed. Informatics, 2019

2018

Microarray Classification and Gene Selection with FS-NEAT.

Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies.

Bruno Grisci, Márcio Dorn

J. Bioinform. Comput. Biol., 2017

2016

Predicting protein structural features with NeuroEvolution of Augmenting Topologies.

Bruno Grisci, Márcio Dorn

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction.

Bruno Borguesan, Mariel Barbachan e Silva, Bruno Grisci, Mario Inostroza-Ponta, Márcio Dorn

Comput. Biol. Chem., 2015