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26711 |
The quest for a biological phenotype of adolescent non-suicidal self-injury: a machine-learning approach
Enthalten in Translational Psychiatry Bd. 14, 25.1.2024, Nr. 1, date:12.2024: 1-7
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26712 |
The quest for the reliability of machine learning models in binary classification on tabular data
Enthalten in Scientific reports Bd. 13, 27.10.2023, Nr. 1, date:12.2023: 1-11
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26713 |
The ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children
Enthalten in Annals of dyslexia Bd. 73, 7.8.2023, Nr. 3, date:10.2023: 356-392
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26714 |
The regression analysis of dry - wet wear outcomes and materials properties of biodegradable MgCu and MgZn, made by P/M, using machine learning models
Enthalten in Applied physics / A / Materials science & processing Bd. 131, 24.3.2025, Nr. 4, date:4.2025: 1-19
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26715 |
The Relationship Between Social Media Addiction, Happiness, and Life Satisfaction in Adults: Analysis with Machine Learning Approach
Enthalten in International journal of mental health and addiction Bd. 21, 24.7.2023, Nr. 5, date:10.2023: 3500-3516
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26716 |
The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration
Enthalten in Diagnostic and prognostic research Bd. 8, 5.11.2024, Nr. 1, date:12.2024: 1-18
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26717 |
The remarkable potential of machine learning algorithms in estimating water permeability of concrete incorporating nano natural pozzolana
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-22
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26718 |
The rewards of reusable machine learning code
Enthalten in Nature machine intelligence Bd. 6, 24.4.2024, Nr. 4, date:4.2024: 369
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26719 |
The risk factors determined by four machine learning methods for the change of difference of bone mineral density in post-menopausal women after three years follow-up
Enthalten in Scientific reports Bd. 14, 5.10.2024, Nr. 1, date:12.2024: 1-14
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26720 |
The Rohingya refugee crisis in Bangladesh: assessing the impact on land use patterns and land surface temperature using machine learning
Enthalten in Environmental monitoring and assessment Bd. 196, 18.5.2024, Nr. 6, date:6.2024: 1-23
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