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26711 |
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 27.5.2022, Nr. 2, date:6.2022: 285-298
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26712 |
Rates of convergence for regression with the graph poly-Laplacian
Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 27.11.2023, Nr. 2, date:12.2023: 1-40
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26713 |
Rational design and glass-forming ability prediction of bulk metallic glasses via interpretable machine learning
Enthalten in Journal of materials science Bd. 58, 19.5.2023, Nr. 21, date:6.2023: 8833-8844
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26714 |
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 16.9.2024, Nr. 2, date:4.2024: 1-15
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26715 |
Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets
Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-22
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26716 |
Re-evaluation of machine learning models for predicting ultimate bearing capacity of piles through SHAP and Joint Shapley methods
Enthalten in Neural computing & applications Bd. 36, 16.10.2023, Nr. 2, date:1.2024: 697-715
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26717 |
Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer
Enthalten in Scientific reports Bd. 13, 5.10.2023, Nr. 1, date:12.2023: 1-14
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26718 |
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 23, 26.8.2023, Nr. 1, date:12.2023: 1-12
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26719 |
Reaching a desirable metastructure for passive vibration attenuation by using a machine learning approach
Enthalten in Nonlinear dynamics Bd. 112, 26.8.2024, Nr. 23, date:12.2024: 20661-20676
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26720 |
Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes
Enthalten in Scientific reports Bd. 14, 21.10.2024, Nr. 1, date:12.2024: 1-18
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