A Continuum among Logarithmic, Linear, and Exponential Functions, and Its Potential to Improve Generalization in Neural Networks. - Luke B. Godfrey; Michael S. Gashler (KDIR, 2015)

A parameterized activation function for learning fuzzy logic operations in deep neural networks. - Luke B. Godfrey; Michael S. Gashler (SMC, 2017)

Neural decomposition of time-series data. - Luke B. Godfrey; Michael S. Gashler (SMC, 2017)

Leveraging Product as an Activation Function in Deep Networks. - Luke B. Godfrey; Michael Gashler (SMC, 2018)

Neural Decomposition of Time-Series Data for Effective Generalization. - Luke B. Godfrey; Michael S. Gashler (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Evaluation of Parametric Activation Functions for Deep Learning. - Luke B. Godfrey (SMC, 2019)