10 citations · 18 across the 7 of their papers we have counts for
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stat.ML2019
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction
Yunchuan Kong, Tianwei Yu
A unique challenge in predictive model building for omics data has been the small number of samples versus the large amount of features . This "" property brings…
stat.ML2018★ 5 cited
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data
Yunchuan Kong, Tianwei Yu
Gene expression data represents a unique challenge in predictive model building, because of the small number of samples compared to the huge amount of features . This "$…
stat.ML2016
Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach
Tianwei Yu
We present a method of variable selection for the sparse generalized additive model. The method doesn't assume any specific functional form, and can select from a large number of c…