Bruno Grisci
机构: Professor, PhD in Computer Science, Universidade Federal do Rio Grande do Sul
每年引用次数
引用次数
引用: 374
H-指数: 9
I10-指数 : 8
出版物: 19
NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies.
Bruno Grisci , Márcio Dorn
Journal of Bioinformatics and Computational Biology 15 ( 03) 1750009
4
2017
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
Computational Biology and Chemistry 59 142 -157
31
2015
Predicting protein structural features with NeuroEvolution of Augmenting Topologies
Bruno Grisci , Marcio Dorn
international joint conference on neural network 873 -880
2016
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization
Bruno Grisci , Gabriela Kuhn , Felipe Colombelli , Vítor Matter
arXiv preprint arXiv:2202.07466
1
2022
Aromatic Rings Commonly Used in Medicinal Chemistry: Force Fields Comparison and Interactions With Water Toward the Design of New Chemical Entities.
Marcelo D. Polêto , Victor H. Rusu , Bruno I. Grisci , Marcio Dorn
Frontiers in Pharmacology 9 395 -395
11
2018
Development of GROMOS-Compatible Parameter Set for Simulations of Chalcones and Flavonoids.
Pablo R. Arantes , Marcelo D. Polêto , Elisa B. O. John , Conrado Pedebos
Journal of Physical Chemistry B 123 ( 5) 994 -1008
5
2019
N3O : a NEAT expansion for improving classification and feature selection applied to microarray data
Bruno Iochins Grisci ,
2018
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
Marcio Dorn , Bruno Iochins Grisci , Bruno Iochins Grisci , Mathias J. Krause
Information Sciences 559 111 -129
8
2021
Perspectives and applications of machine learning for evolutionary developmental biology
Bruno César Feltes , Bruno Iochins Grisci , Joice de Faria Poloni , Márcio Dorn
Molecular Omics 14 ( 5) 289 -306
3
2018
Neuroevolution as a tool for microarray gene expression pattern identification in cancer research
Bruno Iochins Grisci , Bruno César Feltes , Marcio Dorn
Journal of Biomedical Informatics 89 122 -133
6
2019
Microarray Classification and Gene Selection with FS-NEAT
Bruno Iochins Grisci , Bruno Cesar Feltes , Marcio Dorn
congress on evolutionary computation 1 -8
2
2018
CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.
Bruno César Feltes , Eduardo Bassani Chandelier , Bruno Iochins Grisci , Márcio Dorn
Journal of Computational Biology 26 ( 4) 376 -386
2
2019
Multi-objective prioritization for data center vulnerability remediation
Felipe Colombelli , Vítor Kehl Matter , Bruno Iochins Grisci , Leomar Lima
2022 IEEE Congress on Evolutionary Computation (CEC) 01 -08
2022
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
Marcio Dorn , Bruno Iochins Grisci , Pedro Henrique Narloch , Bruno César Feltes
PeerJ Computer Science 7 e670 -e670
17
2021
Neuroevolution of neural network architectures using CoDeepNEAT and Keras
Jonas da Silveira Bohrer , Bruno Iochins Grisci , Marcio Dorn
arXiv preprint arXiv:2002.04634
15
2020
Analysis and comparison of feature selection methods towards performance and stability
Matheus Cezimbra Barbieri , Bruno Iochins Grisci , Márcio Dorn
Expert Systems with Applications 123667 -123667
3
2024
Predição da flexibilidade de aminoácidos utilizando NeuroEvolução de Topologias Crescentes
Bruno Iochins Grisci
BSc Final Project, Federal University of Rio Grande do Sul
2016
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories.
Marcelo D Polêto , Bruno I Grisci , Marcio Dorn , Hugo Verli
Bioinformatics 36 ( 11) 3576 -3577
2
2020
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
Bruno I Grisci , Bruno César Feltes , Joice de Faria Poloni , Pedro H Narloch
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 14 ( 2) e1523 -e1523
2
2023
Márcio Dorn Bruno César Feltes Marcelo D. Polêto Hugo Verli Roberto Lins Bruno Borguesan Mario Inostroza Ponta Pedro Henrique Narloch Mathias J Krause CLARICE SAMPAIO ALHO Pablo Ricardo Arantes Conrado Pedebos Elisa Beatriz de Oliveira John Gabriel de Oliveira Ramos Rodrigo da Rosa Righi Mariel Barbachan