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Causality-based Feature Selection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption
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Selected Papers of Hirotugu Akaike
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Practical Approaches to Causal Relationship Exploration
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Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data
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A Bayesian Method for the Induction of Probabilistic Networks from Data
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Score-based methods for learning Markov boundaries by searching in constrained spaces
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Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs
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The max-min hill-climbing Bayesian network structure learning algorithm
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Swamping and masking in Markov boundary discovery
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Simple strategies for semi-supervised feature selection
inferredcites →https://doi.org/10.1007/s10994-018-5748-7openalex-snapshot
A greedy feature selection algorithm for Big Data of high dimensionality
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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
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Theory Refinement on Bayesian Networks
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Information-geometric approach to inferring causal directions
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Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach
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Towards scalable and data efficient learning of Markov boundaries
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Efficient score-based Markov Blanket discovery
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Towards efficient and effective discovery of Markov blankets for feature selection
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BASSUM: A Bayesian semi-supervised method for classification feature selection
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
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Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
inferredcites →https://doi.org/10.1080/00949655.2018.1505197openalex-snapshot
Elements of causal inference: foundations and learning algorithms
inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
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Causal diagrams for empirical research
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Learning causality and causality-related learning: some recent progress
inferredcites →https://doi.org/10.1109/icdm.2005.134openalex-snapshot
Speculative Markov Blanket Discovery for Optimal Feature Selection
inferredcites →https://doi.org/10.1109/mci.2014.2326099openalex-snapshot
The Emerging "Big Dimensionality"
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Efficient Markov Blanket Discovery and Its Application
inferredcites →https://doi.org/10.1109/tcyb.2019.2940509openalex-snapshot
Accurate Markov Boundary Discovery for Causal Feature Selection
inferredcites →https://doi.org/10.1109/tetci.2020.2978238openalex-snapshot
Using Feature Selection for Local Causal Structure Learning
inferredcites →https://doi.org/10.1109/tnnls.2016.2602365openalex-snapshot
Markov Blanket Feature Selection Using Representative Sets
inferredcites →https://doi.org/10.1109/tnnls.2018.2828982openalex-snapshot
Mining Markov Blankets Without Causal Sufficiency
inferredcites →https://doi.org/10.1109/tpami.2011.71openalex-snapshot
Causal Inference on Discrete Data Using Additive Noise Models
inferredcites →https://doi.org/10.1109/tpami.2012.197openalex-snapshot
Online Feature Selection with Streaming Features
inferredcites →https://doi.org/10.1109/tpami.2019.2908373openalex-snapshot
Multi-Source Causal Feature Selection
inferredcites →https://doi.org/10.1111/j.1467-8640.1994.tb00166.xopenalex-snapshot
LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE
inferredcites →https://doi.org/10.1111/rssb.12167openalex-snapshot
Causal Inference by using Invariant Prediction: Identification and Confidence Intervals
inferredcites →https://doi.org/10.1145/3397269openalex-snapshot
A Survey of Learning Causality with Data
inferredcites →https://doi.org/10.1145/3409796openalex-snapshot
Unveiling the Mystery of Internet Packet Forwarding
inferredcites →https://doi.org/10.1145/956750.956838openalex-snapshot
Time and sample efficient discovery of Markov blankets and direct causal relations
inferredcites →https://doi.org/10.1162/153244302760200696openalex-snapshot
10.1162/153244302760200696
inferredcites →https://doi.org/10.1198/016214508000000193openalex-snapshot
Learning Causal Bayesian Network Structures From Experimental Data
inferredcites →https://doi.org/10.1207/s15327906mbr3301_3openalex-snapshot
The TETRAD Project: Constraint Based Aids to Causal Model Specification
inferredcites →https://doi.org/10.1214/09-aos685openalex-snapshot
Estimating high-dimensional intervention effects from observational data
inferredcites →https://doi.org/10.1214/09-ss057openalex-snapshot
Causal inference in statistics: An overview
inferredcites →https://doi.org/10.1214/11-aos940openalex-snapshot
Learning high-dimensional directed acyclic graphs with latent and selection variables
inferredcites →https://doi.org/10.1214/17-aos1631openalex-snapshot
Margins of discrete Bayesian networks
inferredcites →https://doi.org/10.18637/jss.v047.i11openalex-snapshot
Causal Inference Using Graphical Models with the R Package pcalg
inferredcites →https://doi.org/10.26226/morressier.60dd99435d86378f03b413f9openalex-snapshot
Cambridge University Press
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Evolutionary Study of Web Spam: Webb Spam Corpus 2011 versus Webb Spam Corpus 2006
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Categorical Data, Analysis of
inferredcites →https://doi.org/10.48550/arxiv.1507.05333openalex-snapshot
Invariant Models for Causal Transfer Learning
inferredcites →https://doi.org/10.48550/arxiv.1508.05880openalex-snapshot
Scalable Bayes via Barycenter in Wasserstein Space
inferredcites →https://doi.org/10.5555/1005332.1005352openalex-snapshot
Exact Bayesian Structure Discovery in Bayesian Networks
inferredcites →https://doi.org/10.5555/1248547.1248624openalex-snapshot
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests
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/10.5555/1756006.1756014openalex-snapshot
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
inferredcites →https://doi.org/10.5555/2789272.2912102openalex-snapshot
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
inferredcites →https://doi.org/10.5555/2946645.2946677openalex-snapshot
Distinguishing cause from effect using observational data
inferredcites →https://doi.org/10.5555/3291125.3291161openalex-snapshot
Invariant models for causal transfer learning
inferredcites →https://doi.org/10.5555/3291125.3309605openalex-snapshot
Markov blanket and Markov boundary of multiple variables
inferredcites →https://doi.org/10.5555/3322706.3322714openalex-snapshot
Forward-backward selection with early dropping
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
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Multi-scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification
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To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data
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Why the Future of AIED is Causal: Arguments for Creating a Tradition Based on Causal Thinking
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Causal-SHAP: Feature Selection with Explainability and Causal Analysis
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Differentially Private RL for ICU Decision Support: A Comparative Analysis
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A Novel Method for Aircraft Actuator Fault Diagnosis Based on Causal Graph and T-S Fuzzy Model
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Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer’s Disease
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CFEO: Causal Feature Extraction and Optimization for Cross-Domain Text Classification
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A Survey on Causal Representation Learning Techniques to Extract Causal Features for Causal Machine Learning Model Building
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Cancer gene identification through integrating causal prompting large language model with omics data–driven causal inference
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Searching for robust associations with a multi-environment knockoff filter
inferred← citeshttps://doi.org/10.1103/5cd4-5cb4openalex-snapshot
Linear-inverse-modeling approach to estimating Liang-Kleeman information flow in a cyclostationary process under memoryless and persistent noise
inferred← citeshttps://doi.org/10.1108/hff-09-2025-0715openalex-snapshot
Cause-and-effect approach to turbulence forecasting
inferred← citeshttps://doi.org/10.1108/ijicc-03-2025-0152openalex-snapshot
Causal feature selection using a conditional independence test with a balanced trade-off between Type I and Type II errors
inferred← citeshttps://doi.org/10.1109/access.2023.3334394openalex-snapshot
Review of Data-Driven Techniques for On-Line Static and Dynamic Security Assessment of Modern Power Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3574547openalex-snapshot
Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect Estimation
inferred← citeshttps://doi.org/10.1109/access.2025.3592775openalex-snapshot
Leveraging Feedback and Causality-Enriched Multimodal Context for Predictive Maintenance
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020794openalex-snapshot
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems
inferred← citeshttps://doi.org/10.1109/blockchain67634.2025.00010openalex-snapshot
A Redactable Blockchain Architecture for Regulatory Compliance
inferred← citeshttps://doi.org/10.1109/camad67323.2025.11229911openalex-snapshot
Exploring Explainable and Causal AI for Feature Selection in Industry 5.0
inferred← citeshttps://doi.org/10.1109/comst.2024.3482978openalex-snapshot
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302608openalex-snapshot
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework
inferred← citeshttps://doi.org/10.1109/esci68015.2026.11493294openalex-snapshot
ByteBERT: Self-Supervised Representation Learning for Malware Classification using Bytecode and Opcode Sequences
inferred← citeshttps://doi.org/10.1109/icacte59887.2023.10335104openalex-snapshot
Feature Selection Based on Causal Analysis Algorithm for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00128openalex-snapshot
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
inferred← citeshttps://doi.org/10.1109/ickg52313.2021.00016openalex-snapshot
Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests
inferred← citeshttps://doi.org/10.1109/ickg52313.2021.00022openalex-snapshot
Improving Gradient-based DAG Learning by Structural Asymmetry
inferred← citeshttps://doi.org/10.1109/icme55011.2023.00042openalex-snapshot
Score-based causal feature selection for cancer risk prediction
inferred← citeshttps://doi.org/10.1109/icmla61862.2024.00144openalex-snapshot
CFC-ATE: Causal Feature Construction via Average Treatment Effect
inferred← citeshttps://doi.org/10.1109/itc51656.2023.00043openalex-snapshot
Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits
inferred← citeshttps://doi.org/10.1109/jas.2025.125231openalex-snapshot
A Survey on Rough Feature Selection: Recent Advances and Challenges
inferred← citeshttps://doi.org/10.1109/jas.2026.126167openalex-snapshot
Multi-Label Causal Feature Selection Based on Unary Approximate Markov Blankets
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3089459openalex-snapshot
Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes
inferred← citeshttps://doi.org/10.1109/medai59581.2023.00012openalex-snapshot
Double-Rule Causal Feature Selection in Risk Factor Mining for Disease Diagnosis
inferred← citeshttps://doi.org/10.1109/medai62885.2024.00088openalex-snapshot
CautionGCN: Cancer Subtype Classification by Developing Causal Multi-Head Autoencoder and Graph Convolutional Network
inferred← citeshttps://doi.org/10.1109/rew56159.2022.00039openalex-snapshot
Requirements Engineering for Machine Learning: A Review and Reflection
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659303openalex-snapshot
Learning Causal Fuzzy Logic Rules by Leveraging Markov Blankets
inferred← citeshttps://doi.org/10.1109/tbdata.2021.3062937openalex-snapshot
Towards Efficient Local Causal Structure Learning
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3178472openalex-snapshot
Causal Feature Selection With Efficient Spouses Discovery
inferred← citeshttps://doi.org/10.1109/tcbb.2024.3406922openalex-snapshot
Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data
inferred← citeshttps://doi.org/10.1109/tcyb.2023.3237635openalex-snapshot
Gradient-Based Local Causal Structure Learning
inferred← citeshttps://doi.org/10.1109/tetci.2024.3437253openalex-snapshot
Causal Feature Selection With Imbalanced Data
inferred← citeshttps://doi.org/10.1109/tevc.2022.3215745openalex-snapshot
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling
inferred← citeshttps://doi.org/10.1109/tii.2023.3272693openalex-snapshot
Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems
inferred← citeshttps://doi.org/10.1109/tkde.2021.3119185openalex-snapshot
Learning Causal Representations for Robust Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3169333openalex-snapshot
Stable Prediction with Leveraging Seed Variable
inferred← citeshttps://doi.org/10.1109/tkde.2022.3178211openalex-snapshot
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
inferred← citeshttps://doi.org/10.1109/tkde.2022.3218786openalex-snapshot
A Light Causal Feature Selection Approach to High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/tkde.2023.3265015openalex-snapshot
Adaptive Skeleton Construction for Accurate DAG Learning
inferred← citeshttps://doi.org/10.1109/tkde.2023.3312255openalex-snapshot
Out-of-Distribution Generalization With Causal Feature Separation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3461832openalex-snapshot
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning
inferred← citeshttps://doi.org/10.1109/tkde.2024.3487625openalex-snapshot
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3522580openalex-snapshot
Label-Aware Causal Feature Selection
inferred← citeshttps://doi.org/10.1109/tkde.2025.3546607openalex-snapshot
Learning Causal Representations Based on a GAE Embedded Autoencoder
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3105585openalex-snapshot
Online Causal Feature Selection for Streaming Features
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3111288openalex-snapshot
Multilabel Feature Selection: A Local Causal Structure Learning Approach
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3178075openalex-snapshot
Causal Feature Selection With Dual Correction
inferred← citeshttps://doi.org/10.1109/tpami.2022.3199784openalex-snapshot
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application
inferred← citeshttps://doi.org/10.1109/tr.2024.3479323openalex-snapshot
BiGraphormer: A Bidirectional Graphormer on Directed Causal Graph for Fault Detection in Complex Systems
inferred← citeshttps://doi.org/10.1111/exsy.70170openalex-snapshot
Local Causal Discovery Towards High‐Dimensional Streaming Features
inferred← citeshttps://doi.org/10.1111/poms.13984openalex-snapshot
Mobile advertisement campaigns for boosting in‐store visits: A design framework and case study
inferred← citeshttps://doi.org/10.1145/3436891openalex-snapshot
A Unified View of Causal and Non-causal Feature Selection
inferred← citeshttps://doi.org/10.1145/3488055openalex-snapshot
Causal Feature Selection with Missing Data
inferred← citeshttps://doi.org/10.1145/3508071openalex-snapshot
PSL: An Algorithm for Partial Bayesian Network Structure Learning
inferred← citeshttps://doi.org/10.1145/3511808.3557441openalex-snapshot
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
inferred← citeshttps://doi.org/10.1145/3534678.3539444openalex-snapshot
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
inferred← citeshttps://doi.org/10.1145/3604809openalex-snapshot
Causal Feature Selection in the Presence of Sample Selection Bias
inferred← citeshttps://doi.org/10.1145/3605098.3636018openalex-snapshot
On the relation of causality- versus correlation-based feature selection on model fairness
inferred← citeshttps://doi.org/10.1145/3618295openalex-snapshot
A Comprehensive Survey on Automatic Knowledge Graph Construction
inferred← citeshttps://doi.org/10.1145/3624479openalex-snapshot
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning
inferred← citeshttps://doi.org/10.1145/3687467openalex-snapshot
Causal Discovery Using Weight-Based Conditional Independence Test
inferred← citeshttps://doi.org/10.1145/3757892.3757893openalex-snapshot
Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study
inferred← citeshttps://doi.org/10.1145/3770855.3818030openalex-snapshot
StablePFN: Stable Prediction with Causal-Aware Tabular Foundation Model
inferred← citeshttps://doi.org/10.1145/3770855.3818073openalex-snapshot
Federated Nonlinear Causal Discovery via Divide-and-Conquer Learning
inferred← citeshttps://doi.org/10.1145/3787462openalex-snapshot
GCT: A Granger-Causal Transformer for Multivariate Traffic Analysis in Smart Villages
inferred← citeshttps://doi.org/10.11606/t.55.2022.tde-27022023-142607openalex-snapshot
Data science for epidemiology: a case study of dengue in Brazil.
inferred← citeshttps://doi.org/10.1177/20552076251368045openalex-snapshot
XAI-Eval: A framework for comparative evaluation of explanation methods in healthcare
inferred← citeshttps://doi.org/10.1371/journal.pone.0323015openalex-snapshot
A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices
inferred← citeshttps://doi.org/10.17762/turcomat.v12i2.1802openalex-snapshot
Feature Selection: An Assessment of Some Evolving Methodologies
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3184321/v1openalex-snapshot
Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
inferred← citeshttps://doi.org/10.2139/ssrn.5339513openalex-snapshot
Rethinking Multi-Label Feature Selection Via Adaptive Skeleton Construction
inferred← citeshttps://doi.org/10.21528/cbic2023-043openalex-snapshot
Explorando causalidade na seleção de variáveis para previsão de séries temporais multivariadas
inferred← citeshttps://doi.org/10.2174/0115748936361195250410044441openalex-snapshot
CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex
inferred← citeshttps://doi.org/10.2197/ipsjjip.31.321openalex-snapshot
Fast Relevant Feature Selection Based on Markov Boundary Learning from Data Stream for Classification Tasks
inferred← citeshttps://doi.org/10.2478/popets-2022-0044openalex-snapshot
Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring
inferred← citeshttps://doi.org/10.3233/thc-230161openalex-snapshot
Selection of HBV key reactivation factors based on maximum information coefficient combined with cosine similarity
inferred← citeshttps://doi.org/10.32604/iasc.2023.037267openalex-snapshot
Online Markov Blanket Learning with Group Structure
inferred← citeshttps://doi.org/10.32604/jai.2024.049083openalex-snapshot
Causality-Driven Common and Label-Specific Features Learning
inferred← citeshttps://doi.org/10.3390/app13148438openalex-snapshot
A Data Feature Extraction Method Based on the NOTEARS Causal Inference Algorithm
inferred← citeshttps://doi.org/10.3390/atmos13060895openalex-snapshot
Assessment of Quarterly, Semiannual and Annual Models to Forecast Monthly Rainfall Anomalies: The Case of a Tropical Andean Basin
inferred← citeshttps://doi.org/10.3390/batteries9120596openalex-snapshot
A Two-State-Based Hybrid Model for Degradation and Capacity Prediction of Lithium-Ion Batteries with Capacity Recovery
inferred← citeshttps://doi.org/10.3390/e25071003openalex-snapshot
The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data
inferred← citeshttps://doi.org/10.3390/electronics13163131openalex-snapshot
Generative Adversarial Network-Based Voltage Fault Diagnosis for Electric Vehicles under Unbalanced Data
inferred← citeshttps://doi.org/10.3390/f16081272openalex-snapshot
Kennaugh Elements Allow Early Detection of Bark Beetle Infestation in Temperate Forests Using Sentinel-1 Data
inferred← citeshttps://doi.org/10.3390/forecast8040058openalex-snapshot
Causal-Structure-Based Cryptocurrency Price Direction Prediction Model
inferred← citeshttps://doi.org/10.3390/s25082373openalex-snapshot
Causality, Machine Learning, and Feature Selection: A Survey
inferred← citeshttps://doi.org/10.3390/s25113254openalex-snapshot
Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features
inferred← citeshttps://doi.org/10.3390/s25113429openalex-snapshot
Remaining Useful Life Prediction of Airplane Engine Based on Bidirectional Mamba and Causal Discovery
inferred← citeshttps://doi.org/10.3390/sym14010149openalex-snapshot
Online Streaming Features Selection via Markov Blanket
inferred← citeshttps://doi.org/10.48550/arxiv.2009.10790openalex-snapshot
Using Unsupervised Learning to Help Discover the Causal Graph
inferred← citeshttps://doi.org/10.48550/arxiv.2011.04176openalex-snapshot
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables
inferred← citeshttps://doi.org/10.48550/arxiv.2011.06716openalex-snapshot
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation
inferred← citeshttps://doi.org/10.48550/arxiv.2106.04118openalex-snapshot
Searching for consistent associations with a multi-environment knockoff filter
inferred← citeshttps://doi.org/10.5306/wjco.v16.i6.104299openalex-snapshot
Comprehensive review of Bayesian network applications in gastrointestinal cancers
inferred← citeshttps://doi.org/10.55057/ajress.2023.5.4.44openalex-snapshot
The Recent Use of IBM SPSS Statistics in Social Science Research
inferred← citeshttps://doi.org/10.62411/faith.3048-3719-61openalex-snapshot
Using Causal Graph Model variable selection for BERT models Prediction of Patient Survival in a Clinical Text Discharge Dataset
inferred← citeshttps://doi.org/10.70675/03477c9cz66c4z4ea9z82a6zc335e9db3353openalex-snapshot
Enhancing interpretability in explanations of Convolutional Neural Networks
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