Bruno Grisci
Title
Cited by
Cited by
Year
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
392015
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
182018
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
92019
Development of GROMOS-compatible parameter set for simulations of chalcones and flavonoids
PR Arantes, MD Polêto, EBO John, C Pedebos, BI Grisci, M Dorn, ...
The Journal of Physical Chemistry B 123 (5), 994-1008, 2019
72019
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
62017
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
52019
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
42018
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
JS Bohrer, BI Grisci, M Dorn
arXiv preprint arXiv:2002.04634, 2020
32020
Microarray Classification and Gene Selection with FS-NEAT
BI Grisci, BC Feltes, M Dorn
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
32018
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
22020
Predicting protein structural features with neuroevolution of augmenting topologies
B Grisci, M Dorn
2016 International Joint Conference on Neural Networks (IJCNN), 873-880, 2016
22016
Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data
BI Grisci, MJ Krause, M Dorn
Information Sciences 559, 111-129, 2021
2021
N3O: a NEAT expansion for improving classification and feature selection applied to microarray data
BI Grisci
2018
PREDIÇÃO DA FLEXIBILIDADE CONFORMACIONAL DE RESÍDUOS DE AMINOÁCIDOS ATRAVÉS DE NEUROEVOLUÇÃO
BI Grisci
2016
Predição da flexibilidade de aminoácidos utilizando NeuroEvolução de Topologias Crescentes
BI Grisci
2016
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Articles 1–15