68 citations · 210 across the 41 of their papers we have counts for
3 papers · 1 filter
Neural Networks as Functional Classifiers
Barinder Thind, Kevin Multani, Jiguo Cao
In recent years, there has been considerable innovation in the world of predictive methodologies. This is evident by the relative domination of machine learning approaches in vario…
FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces
Barinder Thind, Sidi Wu, Richard Groenewald +1
Neural networks have excelled at regression and classification problems when the input space consists of scalar variables. As a result of this proficiency, several popular packages…
Deep Learning with Functional Inputs
Barinder Thind, Kevin Multani, Jiguo Cao
We present a methodology for integrating functional data into deep densely connected feed-forward neural networks. The model is defined for scalar responses with multiple functiona…