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17901 |
When not to use machine learning: A perspective on potential and limitations
Enthalten in Materials Research Society: MRS bulletin Bd. 47, 21.10.2022, Nr. 9, date:9.2022: 968-974
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17902 |
When physics meets machine learning: a survey of physics-informed machine learning
Enthalten in Machine learning for computational science and engineering Bd. 1, 7.5.2025, Nr. 1, date:6.2025: 1-23
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17903 |
When the crowd gets it wrong – the limits of collective wisdom in machine learning
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11
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17904 |
Where Is the Geography? A Study of the Predictors of Obesity Using UK Biobank Data and Machine Learning
Enthalten in Journal of geovisualization and spatial analysis Bd. 7, 12.6.2023, Nr. 2, date:12.2023: 1-21
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17905 |
Where you go is who you are: a study on machine learning based semantic privacy attacks
Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
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17906 |
Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
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17907 |
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach
Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
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17908 |
Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease
Enthalten in Journal of translational medicine Bd. 22, 13.1.2024, Nr. 1, date:12.2024: 1-14
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17909 |
Why and how to construct an epistemic justification of machine learning?
Enthalten in Synthese Bd. 204, 10.8.2024, Nr. 2, date:8.2024: 1-24
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17910 |
Wide dynamic range and real-time reagent identification and imaging using multi-wavelength terahertz parametric generation and machine learning
Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-8
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