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11651 |
The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study
Enthalten in Systematic Reviews Bd. 12, 17.1.2023, Nr. 1, date:12.2023: 1-8
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11652 |
The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort
Enthalten in Discover artificial intelligence Bd. 4, 26.11.2024, Nr. 1, date:12.2024: 1-17
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11653 |
The effect of sport in online dating: evidence from causal machine learning
Enthalten in Humanities and Social Sciences Communications Bd. 12, 19.3.2025, Nr. 1, date:12.2025: 1-13
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11654 |
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Enthalten in Stochastic environmental research and risk assessment Bd. 38, 13.6.2024, Nr. 8, date:8.2024: 3273-3290
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11655 |
The effectiveness of machine learning methods in the nonlinear coupled data assimilation
Enthalten in Geoscience Letters Bd. 11, 18.9.2024, Nr. 1, date:12.2024: 1-14
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11656 |
The efficacy of machine learning models in forecasting treatment failure in thoracolumbar burst fractures treated with short-segment posterior spinal fixation
Enthalten in Journal of orthopaedic surgery and research Bd. 19, 1.4.2024, Nr. 1, date:12.2024: 1-7
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11657 |
The ethics of machine learning-based clinical decision support: an analysis through the lens of professionalisation theory
Enthalten in BMC medical ethics Bd. 22, 19.8.2021, Nr. 1, date:12.2021: 1-9
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11658 |
THE EXPLAINABILITY OF GRADIENT-BOOSTED DECISION TREES FOR DIGITAL ELEVATION MODEL (DEM) ERROR PREDICTION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-3-2023, 2023: 161-168. 8 S.
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11659 |
The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches
Enthalten in Arthritis Research & Therapy Bd. 21, 9.11.2019, Nr. 1, date:12.2019: 1-10
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11660 |
The Firm Life Cycle Forecasting Model Using Machine Learning Based on News Articles
Enthalten in International journal of networked and distributed computing Bd. 9, 5.1.2021, Nr. 1, date:1.2021: 1-9
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