Abstract
Many Objective Response Detectors (ORD) have been proposed based on ratios extracted from statistical methods. This work proposes a new approach to automatically generate ORD techniques, based on the combination of the existing ones by genetic programming. In this first study of this kind, the best ORD functions obtained with this approach were about 4% more sensitive than the best original ORD. It is concluded that genetic programming applied to create ORD functions has a potential to find non-obvious functions with better performances than established alternatives.
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This research was supported by the Brazilian agency CNPq, CAPES and FAPEMIG.
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Felix, L.B., Soares, Q.B., de Sá, A.M.F.L.M., Simpson, D.M. (2020). Combining Objective Response Detectors Using Genetic Programming. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_10
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DOI: https://doi.org/10.1007/978-3-030-31635-8_10
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