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Bruno Grisci
Bruno Grisci
Professor, PhD in Computer Science, Universidade Federal do Rio Grande do Sul
在 inf.ufrgs.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Cumida: An extensively curated microarray database for benchmarking and testing of machine learning approaches in cancer research
BC Feltes, EB Chandelier, BI Grisci, M Dorn
Journal of Computational Biology 26 (4), 376-386, 2019
992019
Aromatic rings commonly used in medicinal chemistry: force fields comparison and interactions with water toward the design of new chemical entities
MD Polêto, VH Rusu, BI Grisci, M Dorn, RD Lins, H Verli
Frontiers in pharmacology 9, 395, 2018
602018
APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction
B Borguesan, MB e Silva, B Grisci, M Inostroza-Ponta, M Dorn
Computational biology and chemistry 59, 142-157, 2015
522015
Neuroevolution as a tool for microarray gene expression pattern identification in cancer research
BI Grisci, BC Feltes, M Dorn
Journal of biomedical informatics 89, 122-133, 2019
372019
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
BI Grisci, MJ Krause, M Dorn
Information sciences 559, 111-129, 2021
252021
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
M Dorn, BI Grisci, PH Narloch, BC Feltes, E Avila, A Kahmann, CS Alho
PeerJ Computer Science 7, e670, 2021
172021
Neuroevolution of neural network architectures using CoDeepNEAT and Keras
JS Bohrer, BI Grisci, M Dorn
arXiv preprint arXiv:2002.04634, 2020
162020
Development of GROMOS-compatible parameter set for simulations of chalcones and flavonoids
PR Arantes, MD Poleto, EBO John, C Pedebos, BI Grisci, M Dorn, H Verli
The Journal of Physical Chemistry B 123 (5), 994-1008, 2019
92019
Perspectives and applications of machine learning for evolutionary developmental biology
BC Feltes, BI Grisci, J de Faria Poloni, M Dorn
Molecular omics 14 (5), 289-306, 2018
92018
NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies
B Grisci, M Dorn
Journal of Bioinformatics and Computational Biology 15 (03), 1750009, 2017
82017
Microarray classification and gene selection with FS-NEAT
BI Grisci, BC Feltes, M Dorn
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
62018
ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories
MD Polêto, BI Grisci, M Dorn, H Verli
Bioinformatics 36 (11), 3576-3577, 2020
52020
Analysis and comparison of feature selection methods towards performance and stability
MC Barbieri, BI Grisci, M Dorn
Expert Systems with Applications 249 (Part B), 123667, 2024
32024
Predicting protein structural features with neuroevolution of augmenting topologies
B Grisci, M Dorn
2016 International Joint Conference on Neural Networks (IJCNN), 873-880, 2016
32016
The use of gene expression datasets in feature selection research: 20 years of inherent bias?
BI Grisci, BC Feltes, J de Faria Poloni, PH Narloch, M Dorn
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 14 (2 …, 2023
22023
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization
B Grisci, G Kuhn, F Colombelli, V Matter, L Lima, K Heinen, M Pegoraro, ...
arXiv preprint arXiv:2202.07466, 2022
22022
Multi-objective prioritization for data center vulnerability remediation
F Colombelli, VK Matter, BI Grisci, L Lima, K Heinen, M Borges, SJ Rigo, ...
2022 IEEE Congress on Evolutionary Computation (CEC), 01-08, 2022
12022
N3O: a NEAT expansion for improving classification and feature selection applied to microarray data
BI Grisci
MSc Dissertation, Federal University of Rio Grande do Sul, 2018
2018
Predição da flexibilidade de aminoácidos utilizando NeuroEvolução de Topologias Crescentes
BI Grisci
BSc Final Project, Federal University of Rio Grande do Sul, 2016
2016
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