A hybrid approach to learn with imbalanced classes using evolutionary algorithms von Milare, C. R., Batista, G. E. A. P. A., Carvalho, A. C. P. L. F.

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Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks von Milaré, Claudia R., Batista, Gustavo E. A. P. A., de Carvalho, André Carlos P. L. F., Monard, Maria C.

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Extracting rules from neural networks using symbolic algorithms: preliminary results von Milare, C.R., de Carvalho, A.C.P.L.F., Monard, M.C.

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Lattice constellations and codes from quadratic number fields von Pires da Nobrega Neto, T., Interlando, J.C., Favareto, O.M., Elia, M., Palazzo, R.

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A Comparison of Methods for Rule Subset Selection Applied to Associative Classification von Batista, G.E.A.P.A., Milare, C.R., Prati, R.C., Monard, M.C.

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