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Luke Godfrey
Luke Godfrey
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Title
Cited by
Cited by
Year
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
672017
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
472015
An evaluation of parametric activation functions for deep learning
LB Godfrey
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
232019
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
112017
Neural decomposition of time-series data
LB Godfrey, MS Gashler
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
72017
Parameterizing and aggregating activation functions in deep neural networks
LB Godfrey
University of Arkansas, 2018
52018
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
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