Luke B. Godfrey

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 9

Top Topics

Single Hidden Layer

Activation Function

Feedforward Neural Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Luke B. Godfrey
An Evaluation of Parametric Activation Functions for Deep Learning. SMC (2019)
Luke B. Godfrey, Michael S. Gashler
Neural Decomposition of Time-Series Data for Effective Generalization. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Luke B. Godfrey, Michael S. Gashler
Leveraging Product as an Activation Function in Deep Networks. CoRR (2018)
Luke B. Godfrey, Michael Gashler
Leveraging Product as an Activation Function in Deep Networks. SMC (2018)
Luke B. Godfrey, Michael S. Gashler
A parameterized activation function for learning fuzzy logic operations in deep neural networks. CoRR (2017)
Luke B. Godfrey, Michael S. Gashler
A parameterized activation function for learning fuzzy logic operations in deep neural networks. SMC (2017)
Luke B. Godfrey, Michael S. Gashler
Neural Decomposition of Time-Series Data for Effective Generalization. CoRR (2017)
Luke B. Godfrey, Michael S. Gashler
Neural decomposition of time-series data. SMC (2017)
Luke B. Godfrey, Michael S. Gashler
A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks. CoRR (2016)
Luke B. Godfrey, Michael S. Gashler
A Continuum among Logarithmic, Linear, and Exponential Functions, and Its Potential to Improve Generalization in Neural Networks. KDIR (2015)