Search Results - hyperparameterization

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    Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach

    Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach by Meng Sun, Qiankun Luo, Yun Yang, Tongchao Nan, Jiangjiang Zhang, Lei Ma, Yu Li, Haichun Ma, Ming Lei, Yaping Deng, Jiazhong Qian

    Published 2025-06-01

    Abstract To accurately predict groundwater flow and solute transport, it is essential to precisely characterize the highly heterogeneous aquifer conditions. Ensemble smoother with multiple data assimilation (ESMDA), though widely applied to identify aquifer properties and spatial features, encounter...

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    auto-xFS: An explanation-based feature selection tool for more meaningful and trustworthy machine learning models

    auto-xFS: An explanation-based feature selection tool for more meaningful and trustworthy machine learning models by Haomiao Wang, Julien Aligon, Haoran Zhou, Chantal Soulé-Dupuy, Paul Monsarrat

    Published 2025-09-01

    auto-xFS is a novel tool for feature selection (FS) based on a three-dimensional perspective encompassing feature retention rate, machine learning (ML) model performance, and explainability (XML). The application is designed to streamline the user’s workflow by autonomously hyperparameterizing FS te...

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    “…The application is designed to streamline the user’s workflow by autonomously hyperparameterizing FS techniques, ML models, and XML methods using a meta-learning approach. …”
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