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Causality-based Feature Selection: Methods and Evaluations

Causality-based Feature Selection: Methods and Evaluations

17 November 2019
Kui Yu
Xianjie Guo
Lin Liu
Jiuyong Li
Hao Wang
Zhaolong Ling
Xindong Wu
    CML
ArXivPDFHTML

Papers citing "Causality-based Feature Selection: Methods and Evaluations"

5 / 5 papers shown
Title
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
Xiaochen Zhang
Yunfeng Cai
Haoyi Xiong
47
0
0
28 Jan 2025
Selecting Robust Features for Machine Learning Applications using
  Multidata Causal Discovery
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery
S. SaranyaGanesh
Tom Beucler
Frederick Iat-Hin Tam
Milton S. Gomez
Jakob Runge
Andreas Gerhardus
18
4
0
11 Apr 2023
MACFE: A Meta-learning and Causality Based Feature Engineering Framework
MACFE: A Meta-learning and Causality Based Feature Engineering Framework
Iván Reyes-Amezcua
Daniel Flores-Araiza
G. Ochoa-Ruiz
Andres Mendez-Vazquez
Eduardo Rodriguez-Tello
OOD
14
1
0
08 Jul 2022
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
Zhaolong Ling
Kui Yu
Yiwen Zhang
Lin Liu
Jiuyong Li
CML
23
28
0
11 Mar 2021
Multi-label Causal Variable Discovery: Learning Common Causal Variables
  and Label-specific Causal Variables
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables
Xingyu Wu
Bingbing Jiang
Yan Zhong
Huanhuan Chen
CML
13
3
0
09 Nov 2020
1