ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.01682
  4. Cited By
Deep Feature Screening: Feature Selection for Ultra High-Dimensional
  Data via Deep Neural Networks

Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks

4 April 2022
Kexuan Li
Fangfang Wang
Lingli Yang
Ruiqi Liu
ArXivPDFHTML

Papers citing "Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks"

4 / 4 papers shown
Title
Semiparametric Regression for Spatial Data via Deep Learning
Semiparametric Regression for Spatial Data via Deep Learning
Kexuan Li
Jun Zhu
A. Ives
V. Radeloff
Fangfang Wang
28
8
0
10 Jan 2023
Graph Convolutional Network-based Feature Selection for High-dimensional
  and Low-sample Size Data
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data
Can Chen
Scott T. Weiss
Yang-Yu Liu
29
17
0
25 Nov 2022
Variable selection for nonlinear Cox regression model via deep learning
Variable selection for nonlinear Cox regression model via deep learning
Kexuan Li
33
6
0
17 Nov 2022
Calibrating multi-dimensional complex ODE from noisy data via deep
  neural networks
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
Kexuan Li
Fangfang Wang
Ruiqi Liu
Fan Yang
Zuofeng Shang
29
7
0
07 Jun 2021
1