May 11, 2021 · In this study, we investigate the benefits causal-based feature selection might have on both model performance and identification of key molecular ...
The implementation of causal discovery in feature selection could potentially inform the biofuel design process while also improving model prediction accuracy ...
Jul 1, 2020 · Evaluating causal‐based feature selection for fuel property prediction models. Journal Article · Causal inference modeling for feature selection ...
We propose a novel causality-based feature selection technique that embeds an explainable unsupervised feature selection algorithm.
Missing: fuel | Show results with:fuel
In this paper, a novel causality-based feature selection approach for an online dynamic security assessment (DSA) framework is proposed.
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Nov 17, 2019 · In this paper, we present a comprehensive review of recent advances in causality-based feature selection.
Missing: fuel property
Oct 3, 2024 · This study proposes the causal feature selection (CFS) algorithm to select more representative features for better stock prediction modeling.
Missing: fuel | Show results with:fuel
Oct 12, 2024 · Our results show that causal feature selection leads to models with substantially fewer features and similar or better performance, especially ...
Missing: fuel | Show results with:fuel
Our approach employs a causal multi-stage feature selection method that selects physicochemical features based on their direct causal-effect on a specific ...
To address this, we propose a causal feature selection approach based on convergent cross mapping within the machine learning pipeline to build more robustly ...