6 citations · 11 across the 6 of their papers we have counts for
7 papers
Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
Shuoyang Wang, Guanqun Cao, Yuan Huang
The opportunity to utilize complex functional data types for conducting classification tasks is emerging with the growing availability of imaging data. However, the tools capable o…
Multiclass classification for multidimensional functional data through deep neural networks
Shuoyang Wang, Guanqun Cao
The intrinsically infinite-dimensional features of the functional observations over multidimensional domains render the standard classification methods effectively inapplicable. To…
Robust Deep Neural Network Estimation for Multi-dimensional Functional Data
Shuoyang Wang, Guanqun Cao
In this paper, we propose a robust estimator for the location function from multi-dimensional functional data. The proposed estimators are based on the deep neural networks with Re…
Deep Neural Network Classifier for Multi-dimensional Functional Data
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
We propose a new approach, called as functional deep neural network (FDNN), for classifying multi-dimensional functional data. Specifically, a deep neural network is trained based…
Optimal Classification for Functional Data
Shuoyang Wang, Zuofeng Shang, Guanqun Cao +1
A central topic in functional data analysis is how to design an optimaldecision rule, based on training samples, to classify a data function. We exploit the optimal classification…
Estimation of the Mean Function of Functional Data via Deep Neural Networks
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
In this work, we propose a deep neural network method to perform nonparametric regression for functional data. The proposed estimators are based on sparsely connected deep neural n…
Simultaneous Confidence Band for Stationary Covariance Function of Dense Functional Data
Jiangyan Wang, Guanqun Cao, Li Wang +1
Inference via simultaneous confidence band is studied for stationary covariance function of dense functional data. A two-stage estimation procedure is proposed based on spline appr…