Luke B. Godfrey

According to our database, Luke B. Godfrey authored at least 6 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

An Evaluation of Parametric Activation Functions for Deep Learning.

Luke B. Godfrey

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Neural Decomposition of Time-Series Data for Effective Generalization.

Luke B. Godfrey, Michael S. Gashler

IEEE Trans. Neural Networks Learn. Syst., 2018

Leveraging Product as an Activation Function in Deep Networks.

Luke B. Godfrey, Michael Gashler

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Neural decomposition of time-series data.

Luke B. Godfrey, Michael S. Gashler

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A parameterized activation function for learning fuzzy logic operations in deep neural networks.

Luke B. Godfrey, Michael S. Gashler

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2015

A Continuum among Logarithmic, Linear, and Exponential Functions, and Its Potential to Improve Generalization in Neural Networks.

Luke B. Godfrey, Michael S. Gashler

Proceedings of the KDIR 2015, 2015