Bias and Variance Analysis of Contemporary Symbolic Regression Methods by Lukas Kammerer, Gabriel Kronberger, Stephan Winkler

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TorchSISSO: A PyTorch-based implementation of the sure independence screening and sparsifying operator for efficient and interpretable model discovery by Madhav Muthyala, Farshud Sorourifar, Joel A. Paulson

Subjects: “…Symbolic regression…”
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Accelerating graph-based tracking tasks with symbolic regression by Nathalie Soybelman, Carlo Schiavi, Francesco A Di Bello, Eilam Gross

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Closed-form interpretation of neural network classifiers with symbolic gradients by Sebastian J Wetzel

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Deep Symbolic Regression-Based MPPT Control for a Standalone DC Microgrid System by Muhammad Affan Khan, Muhammad Usama, Jaehong Kim

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Explainable surrogate modeling for predicting temperature separation performance of the vortex tube by Hyo Beom Heo, Jun Ho Lee, Jeong Won Yoon, Sangseok Yu, Byoung Jae Kim, Seokyeon Im, Seung Hwan Park

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SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression by Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

Subjects: “…symbolic regression…”
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Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression by Askhat Diveev, Elena Sofronova, Nurbek Konyrbaev

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Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion by Naoki Yamane, Kan Hatakeyama-Sato, Yuma Iwasaki, Yasuhiko Igarashi

Subjects: “…Symbolic regression…”
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Mapping Seasonal Spatiotemporal Dynamics of Alpine Grassland Forage Phosphorus Using Sentinel-2 MSI and a DRL-GP-Based Symbolic Regression Algorithm by Jiancong Shi, Aiwu Zhang, Juan Wang, Xinwang Gao, Shaoxing Hu, Shatuo Chai

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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

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Discovery of Exact Equations for Integer Sequences by Boštjan Gec, Sašo Džeroski, Ljupčo Todorovski

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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns by Khaled Megahed

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Integrating piecewise and symbolic regression with remote sensing data for spatiotemporal analysis of surface water total dissolved solids in the Karun River, Iran by Javad Zahiri, Mohammad Reza Nikoo, Adell Moradi-Sabzkouhi, Mitra Cheraghi, Nazmi Mat Nawi

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Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

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Sensitivity analysis of parameters for carbon sequestration: Symbolic regression models based on open porous media reservoir simulators predictions by Pavel Praks, Atgeirr Rasmussen, Kjetil Olsen Lye, Jan Martinovič, Renata Praksová, Francesca Watson, Dejan Brkić

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