2 citations · 2 across the 5 of their papers we have counts for
12 papers
Stopping time detection of wood panel compression: A functional time series approach
H. L. Shang, J. Cao, P. Sang
We consider determining the optimal stopping time for the glue curing of wood panels in an automatic process environment. Using the near-infrared spectroscopy technology to monitor…
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
Ghazal Mirabnahrazam, Da Ma, Sieun Lee +7
Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better under…
Functional L-Optimality Subsampling for Massive Data
Hua Liu, Jinhong You, Jiguo Cao
Massive data bring the big challenges of memory and computation for analysis. These challenges can be tackled by taking subsamples from the full data as a surrogate. For functional…
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…
Sparse Estimation of Historical Functional Linear Models with a Nested Group Bridge Approach
Xiaolei Xun, Jiguo Cao
The conventional historical functional linear model relates the current value of the functional response at time t to all past values of the functional covariate up to time t. Moti…