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[1] L. F. S. Coletta, E. Hruschka, T. Covoes, and R. Campello, “Fuzzy clustering-based filter,” in Information processing and management of uncertainty in knowledge-based systems. Theory and methods, vol. 80, Springer Berlin/Heidelberg, 2010, pp. 406–415.

[2] L. Vendramin, R. J. G. B. Campello, L. F. S. Coletta, and E. R. Hruschka, “Distributed fuzzy clustering with automatic detection of the number of clusters,” in International symposium on distributed computing and artificial intelligence (DCAI’11), vol. 91, Springer Berlin/Heidelberg, 2011, pp. 133–140.

[3] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles,” in Computational intelligence and 11th brazilian congress on computational intelligence (BRICS-CCI CBIC), 2013 BRICS congress on, 2013, pp. 483–488.

[4] L. F. S. Coletta, N. F. F. da Silva, E. R. Hruschka, and E. R. Hruschka, “Combining classification and clustering for tweet sentiment analysis,” in Intelligent systems (BRACIS), 2014 brazilian conference on, 2014, pp. 210–215.

[5] F. C. L. Almeida, L. F. S. Coletta, M. Campos, A. Gonçalves, and E. M. F. Silva, “Tribology and vibration analysis enhanced by a machine learning technique: A short review,” in Probabilistic dynamics analysis and lubricant analysis to improve reliability of gearboxes, 2017, p. 3.

[6] P. H. S. Pereira, G. V. de Oliveira, R. S. S. Yokoo, M. Matulovic, and L. F. S. Coletta, “Análise de descritores de imagens na classificação de folhas de soja visando o diagnóstico de doenças,” in X simpósio nacional de tecnologia em agronegócio (SINTAGRO 2018), 2018, pp. 89–100.

[7] G. M. Harakuchi, J. V. C. Calisso, and L. F. S. Coletta, “Avaliação de descritores de imagem no aprendizado de máquina para a detecção de falhas de plantio de feijão-comum,” in XIX simpósio brasileiro de sensoriamento remoto (SBSR 2019), 2019, pp. 3342–3345.