| Neural decomposition of time-series data for effective generalization LB Godfrey, MS Gashler IEEE transactions on neural networks and learning systems 29 (7), 2973-2985, 2017 | 69 | 2017 |
| A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks LB Godfrey, MS Gashler 2015 7th international joint conference on knowledge discovery, knowledge …, 2015 | 47 | 2015 |
| An evaluation of parametric activation functions for deep learning LB Godfrey 2019 IEEE international conference on systems, man and cybernetics (SMC …, 2019 | 28 | 2019 |
| A parameterized activation function for learning fuzzy logic operations in deep neural networks LB Godfrey, MS Gashler 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 16 | 2017 |
| Neural decomposition of time-series data LB Godfrey, MS Gashler 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 7 | 2017 |
| Parameterizing and aggregating activation functions in deep neural networks LB Godfrey University of Arkansas, 2018 | 6 | 2018 |
| Leveraging Product as an Activation Function in Deep Networks LB Godfrey, MS Gashler 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | | 2018 |
| The Design and Implementation of a Lightweight Game Engine for the iPhone Platform LB Godfrey | | 2014 |
| Modeling Sequential Design Decisions Using Fine-Grained Empirical Data Z Sha, L Godfrey, M Gashler | | |
