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26801 |
Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians
Enthalten in Alzheimer's research & therapy Bd. 16, 1.8.2024, Nr. 1, date:12.2024: 1-21
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26802 |
Understanding machine learning software defect predictions
Enthalten in Automated software engineering Bd. 27, 12.10.2020, Nr. 3-4, date:12.2020: 369-392
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26803 |
Understanding of Wetting Mechanism Toward the Sticky Powder and Machine Learning in Predicting Granule Size Distribution Under High Shear Wet Granulation
Enthalten in American Association of Pharmaceutical Scientists: AAPS PharmSciTech Bd. 25, 23.10.2024, Nr. 8, date:12.2024: 1-22
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26804 |
Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations
Enthalten in npj computational materials Bd. 11, 2.3.2025, Nr. 1, date:12.2025: 1-9
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26805 |
Understanding prediction discrepancies in classification
Enthalten in Machine learning Bd. 113, 7.8.2024, Nr. 10, date:10.2024: 7997-8026
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26806 |
Understanding predictions of drug profiles using explainable machine learning models
Enthalten in BioData Mining Bd. 17, 1.8.2024, Nr. 1, date:12.2024: 1-25
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26807 |
Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling
Enthalten in Journal of Big Data Bd. 8, 15.2.2021, Nr. 1, date:12.2021: 1-30
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26808 |
Understanding quantum machine learning also requires rethinking generalization
Enthalten in Nature Communications Bd. 15, 13.3.2024, Nr. 1, date:12.2024: 1-12
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26809 |
Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach
Enthalten in BMC medical research methodology Bd. 19, 29.3.2019, Nr. 1, date:12.2019: 1-12
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26810 |
Understanding the Incident Wave Errors in Split Hopkinson Pressure Bar Test with Machine Learning Method
Enthalten in Experimental mechanics Bd. 65, 18.2.2025, Nr. 2, date:2.2025: 283-303
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