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https://doi.org/10.1145/3335676
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4612-2748-9openalex-snapshot
Causation, Prediction, and Search
inferredcites →https://doi.org/10.1007/b97670openalex-snapshot
Probabilistic Networks and Expert Systems
inferredcites →https://doi.org/10.1007/s10115-017-1131-4openalex-snapshot
A novel ensemble-based wrapper method for feature selection using extreme learning machine and genetic algorithm
inferredcites →https://doi.org/10.1007/s10115-017-1140-3openalex-snapshot
On the scalability of feature selection methods on high-dimensional data
inferredcites →https://doi.org/10.1007/s10994-006-6889-7openalex-snapshot
The max-min hill-climbing Bayesian network structure learning algorithm
inferredcites →https://doi.org/10.1016/b978-0-08-051489-5.50008-4openalex-snapshot
BAYESIAN INFERENCE
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.ijar.2016.09.009openalex-snapshot
Efficient score-based Markov Blanket discovery
inferredcites →https://doi.org/10.1016/j.patcog.2010.10.023openalex-snapshot
BASSUM: A Bayesian semi-supervised method for classification feature selection
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1023/a:1007421730016openalex-snapshot
Adaptive Probabilistic Networks with Hidden Variables
inferredcites →https://doi.org/10.1109/icdm.2005.134openalex-snapshot
Speculative Markov Blanket Discovery for Optimal Feature Selection
inferredcites →https://doi.org/10.1109/tcyb.2016.2539338openalex-snapshot
Efficient Markov Blanket Discovery and Its Application
inferredcites →https://doi.org/10.1109/tkde.2011.222openalex-snapshot
On Similarity Preserving Feature Selection
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/10.1109/tpami.2010.195openalex-snapshot
The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data
inferredcites →https://doi.org/10.1109/tpami.2019.2908373openalex-snapshot
Multi-Source Causal Feature Selection
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2976744openalex-snapshot
Scalable and Accurate Online Feature Selection for Big Data
inferredcites →https://doi.org/10.1145/3436891openalex-snapshot
A Unified View of Causal and Non-causal Feature Selection
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/10.2307/2026705openalex-snapshot
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.
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

What points at this work

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

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Survey of Edge Computing Based on a Generalized Framework and Some Recommendation
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Machine Learning Technologies in Internet of Vehicles
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A New Skeleton-Neural DAG Learning Approach
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CFEO: Causal Feature Extraction and Optimization for Cross-Domain Text Classification
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Online Markov Blanket Learning for High-Dimensional Data
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A novel feature selection method via mining Markov blanket
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Fast Shrinking parents-children learning for Markov blanket-based feature selection
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IR-IDS: A network intrusion detection method based on causal feature selection and explainable model optimization
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An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
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Error-aware Markov blanket learning for causal feature selection
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Online feature selection for multi-source streaming features
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Local causal structure learning for streaming features
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Discovering optimal Markov blanket for high-dimensional streaming features
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109449openalex-snapshot
A-SFS: Semi-supervised feature selection based on multi-task self-supervision
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110334openalex-snapshot
Research on the multi-source causal feature selection method based on multiple causal relevance
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111216openalex-snapshot
Loose-to-strict Markov blanket learning algorithm for feature selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133517openalex-snapshot
A constrain–select Markov blanket discovery algorithm for causal feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111069openalex-snapshot
A wrapper feature selection approach using Markov blankets
inferred← citeshttps://doi.org/10.1016/j.ress.2025.110999openalex-snapshot
Integrating causal representations with domain adaptation for fault diagnosis
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Monitoring the propagation of mechanical discontinuity using data-driven causal discovery and supervised learning
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EECFS: Efficient Ensemble Causal Feature Selection for High-Dimensional Molecular Data
inferred← citeshttps://doi.org/10.1038/s41598-025-24421-wopenalex-snapshot
Triplet offline causal discovery based on optimal Markov blanket and its application
inferred← citeshttps://doi.org/10.1049/cit2.12327openalex-snapshot
OSFS‐Vague: Online streaming feature selection algorithm based on vague set
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.2020.2998482openalex-snapshot
Markov Boundary Learning With Streaming Data for Supervised Classification
inferred← citeshttps://doi.org/10.1109/aiita69518.2026.11567147openalex-snapshot
Group Causal Feature Selection Algorithm Based on Mutual Information
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Efficient Discovery of Spouses for Causal Feature Selection
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/icbk50248.2020.00023openalex-snapshot
Online Markov Blanket Discovery With Streaming Features
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/smc53992.2023.10394476openalex-snapshot
GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation
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/tbdata.2024.3489413openalex-snapshot
Stable Learning via Dual Feature Learning
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/tetci.2020.2978238openalex-snapshot
Using Feature Selection for 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/tkde.2021.3119185openalex-snapshot
Learning Causal Representations for Robust Domain Adaptation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3142856openalex-snapshot
On Distributed Computing Continuum Systems
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.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.2022.3171614openalex-snapshot
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3178075openalex-snapshot
Causal Feature Selection With Dual Correction
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3249767openalex-snapshot
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning
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Multi-View Causal Feature Selection
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Local Causal Discovery Towards High‐Dimensional Streaming Features
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Causality-based Feature Selection
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A Unified View of Causal and Non-causal Feature Selection
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PSL: An Algorithm for Partial Bayesian Network Structure Learning
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Causal Feature Selection in the Presence of Sample Selection Bias
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Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning
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Fair Feature Selection: A Causal Perspective
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Causal Feature Selection Algorithm Based on Maximizing Neighbourhood Mutual Information
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Online Distributed Heterogeneous Streaming Feature Selection
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StablePFN: Stable Prediction with Causal-Aware Tabular Foundation Model
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DRL-Based Edge Computing Model to Offload the FIFA World Cup Traffic
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Online Streaming Feature Selection via Multi-Conditional Independence and Mutual Information Entropy†
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Online Markov Blanket Learning with Group Structure
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A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection
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Information-Theoretic Causal Feature Selection via Markov Blanket Discovery for Stock Return Direction Prediction: Evidence from China
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints
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Online Streaming Features Selection via Markov Blanket
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Any Part of Bayesian Network Structure Learning
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Searching for consistent associations with a multi-environment knockoff filter
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