Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
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9321
Feature importance derived from SHAP analysis.
Published 2025“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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9322
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9323
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9324
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9325
Significant repeated measurements sEMG outcomes.
Published 2025“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
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9326
Maximum voluntary contraction assessment.
Published 2025“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
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9327
Significant single measurement sEMG outcomes.
Published 2025“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”
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9328
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9329
DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP
Published 2024“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”
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9330
Image_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9331
Image_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9332
Table_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.CSV
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9333
Image_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9334
Table_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.XLSX
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9335
Table_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9336
Table_4_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9337
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9338
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9339
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9340