720 citations · 1.7k across the 23 of their papers we have counts for
25 papers
Detecting Errors in a Numerical Response via any Regression Model
Hang Zhou, Jonas Mueller, Mayank Kumar +2
Noise plagues many numerical datasets, where the recorded values in the data may fail to match the true underlying values due to reasons including: erroneous sensors, data entry/pr…
Testing Homogeneity: The Trouble with Sparse Functional Data
Changbo Zhu, Jane-Ling Wang
Testing the homogeneity between two samples of functional data is an important task. While this is feasible for intensely measured functional data, we explain why it is challenging…
Eigen-Adjusted Functional Principal Component Analysis
Ci-Ren Jiang, Eardi Lila, John AD Aston +1
Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FP…
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Despite their widespread success, the application of deep neural networks to functional data remains scarce today. The infinite dimensionality of functional data means standard lea…
Neural Networks for Partially Linear Quantile Regression
Qixian Zhong, Jane-Ling Wang
Deep learning has enjoyed tremendous success in a variety of applications but its application to quantile regressions remains scarce. A major advantage of the deep learning approac…
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh +2
Convolutional neural networks (CNNs) are widely used to recognize the user's state through electroencephalography (EEG) signals. In the previous studies, the EEG signals are usuall…