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English Information

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Authors
# Name
1 Leonardo Izaú(leo.izau@gmail.com)
2 Mariana Fortes(rochafortes.mariana@gmail.com)
3 Vitor Ribeiro(victorr@posgrad.lncc.br)
4 Celso Marques(celso.silva@cefet-rj.br)
5 Carla Oliveira(carla.oliveira@ibge.gov.br)
6 Eduardo Bezerra(ebezerra@cefet-rj.br)
7 Fabio Porto (fporto@lncc.br)
8 Rebecca Salles(rebeccapsalles@acm.org)
9 Eduardo Ogasawara( eogasawara@ieee.org)

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Reference
# Reference
1 Santo Fortunato. Community detection in graphs. Physics reports, 486(3-5):75–174, 2010.
2 Salvador García, Julián Luengo, and Francisco Herrera. Data Preprocessing in Data Mining. Springer, August 2014. ISBN 978-3-319-10247-4.
3 A. Karatzoglou, K. Hornik, A. Smola, and A. Zeileis. kernlab - An S4 package for kernel methods in R. Journal of Statistical Software, 11:1–20, 2004.
4 R. Khalid and N. Javaid. A survey on hyperparameters optimization algorithms of forecasting models in smart grid. Sustainable Cities and Society, 61, 2020.
5 H. Li and S. Huang. Research on the Prediction Method of Stock Price Based on RBF Neural Network Optimization Algorithm. In E3S Web of Conferences, volume 235, 2021.
6 Y. Liu, Y. Sun, B. Xue, M. Zhang, G.G. Yen, and K.C. Tan. A Survey on Evolutionary Neural Architecture Search. IEEE Transactions on Neural Networks and Learning Systems, 2021.
7 E. Ogasawara, L. Murta, G. Zimbrão, and M. Mattoso. Neural networks cartridges for data mining on time series. In IJCNN, pages 2302–2309, 2009.
8 Z.Y. Ran and B.G. Hu. Parameter identifiability in statistical machine learning: A review. Neural Computation, 29(5):1151–1203, 2017.
9 M.G. Sarwar Murshed, C. Murphy, D. Hou, N. Khan, G. Ananthanarayanan, and F. Hussain. Machine Learning at the Network Edge: A Survey. ACM Computing Surveys, 54(8), 2022.
10 J. Yu and S. Kang. Clustering-based proxy measure for optimizing one-class classifiers. Pattern Recognition Letters, 117:37–44, 2019.
11 C. Zhang, M. Ren, and R. Urtasun. Graph hypernetworks for neural architecture search. In ICLR, 2019, 2019.