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)

Predicting protein structural features with NeuroEvolution of Augmenting Topologies. - Bruno Grisci; Márcio Dorn (IJCNN, 2016)

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies. - Bruno Grisci; Márcio Dorn (J. Bioinform. Comput. Biol., 2017)

Microarray Classification and Gene Selection with FS-NEAT. - Bruno Iochins Grisci; Bruno César Feltes; Márcio Dorn (CEC, 2018)

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)

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)

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)

Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras. - Jonas da Silveira Bohrer; Bruno Iochins Grisci; Márcio Dorn (CoRR, 2020)

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data. - Bruno Iochins Grisci; Mathias J. Krause; Márcio Dorn (Inf. Sci., 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)

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 (CEC, 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; et al. (CoRR, 2022)

Analysis and comparison of feature selection methods towards performance and stability. - Matheus Cezimbra Barbieri; Bruno Iochins Grisci; Márcio Dorn (Expert Syst. Appl., 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)

Assessing feature scorer results on high-dimensional datasets with t-SNE. - Bruno Iochins Grisci; Mario Inostroza-Ponta; Márcio Dorn (Neurocomputing, 2025)

Science diplomacy: A global research field? Findings from a bibliometric analysis of the science diplomacy scholarship of the past twenty years. - Anna-Lena Rüland; Lise H. Andersen; Alan Kai Hassen; Carringtone Kinyanjui; Annika Ralfs; Bruno Iochins Grisci (Scientometrics, 2025)