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26841 |
Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
Enthalten in Scientific reports Bd. 13, 3.12.2023, Nr. 1, date:12.2023: 1-19
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26842 |
Uncovering the role of transient receptor potential channels in pterygium: a machine learning approach
Enthalten in Inflammation research Bd. 72, 24.1.2023, Nr. 3, date:3.2023: 589-602
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26843 |
Uncovering waterlogging-responsive genes in cucumber through machine learning and differential gene correlation analysis
Enthalten in Botanical studies Bd. 65, 14.8.2024, Nr. 1, date:12.2024: 1-17
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26844 |
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning
Enthalten in Scientific reports Bd. 10, 14.9.2020, Nr. 1, date:12.2020: 1-9
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26845 |
Understanding CO adsorption in MOFs combining atomic simulations and machine learning
Enthalten in Scientific reports Bd. 14, 22.10.2024, Nr. 1, date:12.2024: 1-12
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|
|
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26846 |
Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach
Enthalten in Scientific reports Bd. 8, 22.10.2018, Nr. 1, date:12.2018: 1-11
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26847 |
Understanding current states of machine learning approaches in medical informatics: a systematic literature review
Enthalten in Health and Technology Bd. 11, 14.3.2021, Nr. 3, date:5.2021: 471-482
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26848 |
Understanding EMS response times: a machine learning-based analysis
Enthalten in BMC medical informatics and decision making Bd. 25, 24.3.2025, Nr. 1, date:12.2025: 1-15
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26849 |
Understanding health management and safety decisions using signal processing and machine learning
Enthalten in BMC medical research methodology Bd. 19, 13.6.2019, Nr. 1, date:12.2019: 1-12
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|
26850 |
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models
Enthalten in Neuroinformatics Bd. 22, 10.9.2024, Nr. 4, date:10.2024: 487-497
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