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16031 |
Statistical models versus machine learning approach for competing risks in proctological surgery
Enthalten in Updates in surgery Bd. 77, 25.1.2025, Nr. 2, date:4.2025: 333-341
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16032 |
Statistical models versus machine learning for competing risks: development and validation of prognostic models
Enthalten in BMC medical research methodology Bd. 23, 24.2.2023, Nr. 1, date:12.2023: 1-14
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16033 |
Statistical properties of cerebral near infrared and intracranial pressure-based cerebrovascular reactivity metrics in moderate and severe neural injury: a machine learning and time-series analysis
Enthalten in Intensive Care Medicine Experimental Bd. 11, 28.8.2023, Nr. 1, date:12.2023: 1-13
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16034 |
Steel surface roughness parameter prediction from laser reflection data using machine learning models
Enthalten in The international journal of advanced manufacturing technology Bd. 132, 24.4.2024, Nr. 9-10, date:6.2024: 4645-4662
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16035 |
Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon
Enthalten in Geoenvironmental Disasters Bd. 10, 13.10.2023, Nr. 1, date:12.2023: 1-27
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16036 |
Stochastic and multi-objective design of photonic devices with machine learning
Enthalten in Scientific reports Bd. 14, 26.3.2024, Nr. 1, date:12.2024: 1-11
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16037 |
Stock market anomalies and machine learning across the globe
Enthalten in The journal of asset management Bd. 24, 20.7.2023, Nr. 5, date:9.2023: 419-441
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16038 |
Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach
Enthalten in Med-X Bd. 2, 18.7.2024, Nr. 1, date:12.2024: 1-15
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16039 |
Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance
Enthalten in Scientific reports Bd. 14, 26.4.2024, Nr. 1, date:12.2024: 1-14
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16040 |
StratoMod: predicting sequencing and variant calling errors with interpretable machine learning
Enthalten in Communications biology Bd. 7, 13.10.2024, Nr. 1, date:12.2024: 1-14
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