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Causal Feature Selection with Missing Data

https://doi.org/10.1145/3488055
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-93437-7_28openalex-snapshot
The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks
inferredcites →https://doi.org/10.1007/s00521-009-0295-6openalex-snapshot
Pattern classification with missing data: a review
inferredcites →https://doi.org/10.1007/s10489-009-0207-6openalex-snapshot
Shell-neighbor method and its application in missing data imputation
inferredcites →https://doi.org/10.1016/j.compbiomed.2019.103375openalex-snapshot
A review of feature selection methods in medical applications
inferredcites →https://doi.org/10.1016/j.ijar.2006.06.008openalex-snapshot
Towards scalable and data efficient learning of Markov boundaries
inferredcites →https://doi.org/10.1016/j.ins.2010.12.017openalex-snapshot
Incomplete-case nearest neighbor imputation in software measurement data
inferredcites →https://doi.org/10.1016/j.ins.2016.01.018openalex-snapshot
Missing value imputation for the analysis of incomplete traffic accident data
inferredcites →https://doi.org/10.1016/j.ins.2019.09.010openalex-snapshot
Towards efficient and effective discovery of Markov blankets for feature selection
inferredcites →https://doi.org/10.1016/j.jss.2017.07.012openalex-snapshot
Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study
inferredcites →https://doi.org/10.1016/j.neucom.2008.11.026openalex-snapshot
K nearest neighbours with mutual information for simultaneous classification and missing data imputation
inferredcites →https://doi.org/10.1016/j.neucom.2009.05.019openalex-snapshot
A conservative feature subset selection algorithm with missing data
inferredcites →https://doi.org/10.1016/j.neucom.2012.02.031openalex-snapshot
Feature selection with missing data using mutual information estimators
inferredcites →https://doi.org/10.1016/j.neucom.2015.05.105openalex-snapshot
Mutual information criterion for feature selection from incomplete data
inferredcites →https://doi.org/10.1016/j.neucom.2018.10.085openalex-snapshot
Biases in feature selection with missing data
inferredcites →https://doi.org/10.1080/00031305.2018.1543615openalex-snapshot
Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets
inferredcites →https://doi.org/10.1109/icdm.2005.134openalex-snapshot
Speculative Markov Blanket Discovery for Optimal Feature Selection
inferredcites →https://doi.org/10.1109/jproc.2021.3058954openalex-snapshot
Toward Causal Representation Learning
inferredcites →https://doi.org/10.1109/tkde.2010.99openalex-snapshot
Missing Value Estimation for Mixed-Attribute Data Sets
inferredcites →https://doi.org/10.1109/tkde.2019.2956530openalex-snapshot
Efficient Utilization of Missing Data in Cost-Sensitive Learning
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1142/s0218488508005406openalex-snapshot
AN OVERVIEW OF DISTANCE AND SIMILARITY MEASURES OF INTUITIONISTIC FUZZY SETS
inferredcites →https://doi.org/10.1145/1102351.1102474openalex-snapshot
Incomplete-data classification using logistic regression
inferredcites →https://doi.org/10.1145/2990508openalex-snapshot
Learning k for kNN Classification
inferredcites →https://doi.org/10.1145/3409382openalex-snapshot
Causality-based Feature Selection
inferredcites →https://doi.org/10.1145/3436891openalex-snapshot
A Unified View of Causal and Non-causal Feature Selection
inferredcites →https://doi.org/10.1177/0049124197026001001openalex-snapshot
An Empirical Evaluation of the Predictive Mean Matching Method for Imputing Missing Values
inferredcites →https://doi.org/10.1201/9781584888796.ch4openalex-snapshot
Causal Feature Selection
inferredcites →https://doi.org/10.2307/2026705openalex-snapshot
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.
inferredcites →https://doi.org/10.2307/2334030openalex-snapshot
Studies in Statistical Ecology: I. Spatial Pattern
inferredcites →https://doi.org/10.4236/wsn.2010.22016openalex-snapshot
K-Nearest Neighbor Based Missing Data Estimation Algorithm in Wireless Sensor Networks
inferredcites →https://doi.org/10.5555/1005332.1044700openalex-snapshot
Efficient Feature Selection via Analysis of Relevance and Redundancy
inferredcites →https://doi.org/10.5555/1248547.1248548openalex-snapshot
Statistical Comparisons of Classifiers over Multiple Data Sets
inferredcites →https://doi.org/10.5555/1756006.1756013openalex-snapshot
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
inferredcites →https://doi.org/10.7551/mitpress/1754.001.0001openalex-snapshot
Causation, Prediction, and Search

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-42313-0_3openalex-snapshot
Dynamic Graph Learning for Feature Selection
inferred← citeshttps://doi.org/10.1007/s00202-026-03650-wopenalex-snapshot
IoT terminal security vulnerability identification algorithm for new power systems
inferred← citeshttps://doi.org/10.1007/s10489-022-03841-5openalex-snapshot
Online Markov Blanket Learning for High-Dimensional Data
inferred← citeshttps://doi.org/10.1007/s10489-023-04999-2openalex-snapshot
A novel data enhancement approach to DAG learning with small data samples
inferred← citeshttps://doi.org/10.1007/s10489-024-05910-3openalex-snapshot
CRViT: Vision transformer advanced by causality and inductive bias for image recognition
inferred← citeshttps://doi.org/10.1007/s10618-024-01074-3openalex-snapshot
Missing value replacement in strings and applications
inferred← citeshttps://doi.org/10.1007/s11633-022-1362-zopenalex-snapshot
Causal Reasoning Meets Visual Representation Learning: A Prospective Study
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122548openalex-snapshot
A fusion of centrality and correlation for feature selection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129879openalex-snapshot
Multi-source multi-label feature selection with missing features
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102975openalex-snapshot
Sparse multi-label feature selection via pseudo-label learning and dynamic graph constraints
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112079openalex-snapshot
CDRM: Causal disentangled representation learning for missing data
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116006openalex-snapshot
CSGFlow: Causal-structure-guided flow for missing value imputation
inferred← citeshttps://doi.org/10.1017/eds.2023.21openalex-snapshot
Selecting robust features for machine-learning applications using multidata causal discovery
inferred← citeshttps://doi.org/10.1109/access.2023.3340425openalex-snapshot
Enhancing Concrete Creep Prediction With Deep Learning: A Soft-Sorted One-Dimensional CNN Approach
inferred← citeshttps://doi.org/10.1109/ismode56940.2022.10180928openalex-snapshot
Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms
inferred← citeshttps://doi.org/10.1109/tim.2026.3699660openalex-snapshot
Weighting Self-Representation Learning for Feature Selection With Incomplete Clinical Data in Ossification Classification Among Ankylosing Spondylitis Patients
inferred← citeshttps://doi.org/10.1109/tip.2026.3654354openalex-snapshot
Causally-Aware Unsupervised Feature Selection Learning
inferred← citeshttps://doi.org/10.1109/tkde.2026.3676114openalex-snapshot
Adaptive Granules-Based Semi-Supervised Feature Selection for Hybrid Data
inferred← citeshttps://doi.org/10.1109/tkde.2026.3730695openalex-snapshot
Gravitation and Causality Guided Multi-View Unsupervised Feature Selection
inferred← citeshttps://doi.org/10.1145/3591467openalex-snapshot
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection
inferred← citeshttps://doi.org/10.1145/3604560openalex-snapshot
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation
inferred← citeshttps://doi.org/10.1145/3638061openalex-snapshot
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination
inferred← citeshttps://doi.org/10.3390/info13120575openalex-snapshot
DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation
inferred← citeshttps://doi.org/10.3390/math12040570openalex-snapshot
Variable Selection in Data Analysis: A Synthetic Data Toolkit
inferred← citeshttps://doi.org/10.3847/1538-4357/ad03ecopenalex-snapshot
Identifying the Physical Origin of Gamma-Ray Bursts with Supervised Machine Learning
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