Go GO

Go GO

[1] L. F. S. Coletta, L. Vendramin, E. R. Hruschka, R. J. G. B. Campello, and W. Pedrycz, “Collaborative fuzzy clustering algorithms: Some refinements and design guidelines,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 444–462, 2012.

[2] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “A differential evolution algorithm to optimise the combination of classifier and cluster ensembles,” International Journal of Bio-Inspired Computation, vol. 7, no. 2, pp. 111–124, 2015.

[3] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “Using metaheuristics to optimize the combination of classifier and cluster ensembles,” Integrated Computer-Aided Engineering, vol. 22, no. 3, pp. 229–242, 2015.

[4] N. F. F. da Silva, L. F. S. Coletta, E. R. Hruschka, and E. R. H. Jr., “Using unsupervised information to improve semi-supervised tweet sentiment classification,” Information Sciences, vol. 355–356, pp. 348–365, 2016.

[5] N. F. F. D. Silva, L. F. S. Coletta, and E. R. Hruschka, “A survey and comparative study of tweet sentiment analysis via semi-supervised learning,” ACM Comput. Surv., vol. 49, no. 1, pp. 15:1–15:26, Jun. 2016.

[6] A. B. Neto, C. dos Santos Batista Bonini, B. S. Bisi, L. F. S. Coletta, and A. R. dos Reis, “Artificial neural network for classification and analysis of degraded soils,” IEEE Latin America Transactions, vol. 15, no. 3, pp. 503–509, 2017.

[7] A. B. Neto, C. S. B. Bonini, A. R. Reis, J. C. Piazentin, L. F. S. Coletta, F. F. Putti, R. Heinrichs, and A. Moreira, “Automatic recovery estimation of degraded soils by artificial neural networks in function of chemical and physical attributes in brazilian savannah soil,” Communications in Soil Science and Plant Analysis, vol. 50, no. 14, pp. 1785–1798, 2019.

[8] M. Matulovic, F. J. O. Morais, A. V. Souza, C. A. Amorim, and L. F. S. Coletta, “Aflatoxin detection on direction of the 4.0 age at 3.0 costs,” International Journal for Innovation Education and Research, vol. 7, pp. 338–346, 2019.

[9] L. F. S. Coletta, M. Ponti, E. R. Hruschka, A. Acharya, and J. Ghosh, “Combining clustering and active learning for the detection and learning of new image classes,” Neurocomputing, vol. 358, pp. 150–165, 2019.