Bruno Grisci

Orcid: 0000-0003-4083-5881

According to our database1, Bruno Grisci authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
WIREs Data. Mining. Knowl. Discov., 2024

Analysis and comparison of feature selection methods towards performance and stability.
Expert Syst. Appl., 2024

2022
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization.
CoRR, 2022

Multi-objective prioritization for data center vulnerability remediation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets.
PeerJ Comput. Sci., 2021

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data.
Inf. Sci., 2021

2020
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras.
CoRR, 2020

ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories.
Bioinform., 2020

2019
CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.
J. Comput. Biol., 2019

Neuroevolution as a tool for microarray gene expression pattern identification in cancer research.
J. Biomed. Informatics, 2019

2018
Microarray Classification and Gene Selection with FS-NEAT.
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.
J. Bioinform. Comput. Biol., 2017

2016
Predicting protein structural features with NeuroEvolution of Augmenting Topologies.
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.
Comput. Biol. Chem., 2015


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